diff --git a/Modules/DiffusionImaging/DiffusionCore/Testing/mitkDiffusionPropertySerializerTest.cpp b/Modules/DiffusionImaging/DiffusionCore/Testing/mitkDiffusionPropertySerializerTest.cpp index 4e51ad338b..14cbc04510 100644 --- a/Modules/DiffusionImaging/DiffusionCore/Testing/mitkDiffusionPropertySerializerTest.cpp +++ b/Modules/DiffusionImaging/DiffusionCore/Testing/mitkDiffusionPropertySerializerTest.cpp @@ -1,184 +1,184 @@ /*=================================================================== The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center, Division of Medical and Biological Informatics. All rights reserved. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See LICENSE.txt or http://www.mitk.org for details. ===================================================================*/ #include "mitkIOUtil.h" #include "mitkTestingMacros.h" #include "mitkTestFixture.h" #include #include #include #include #include class mitkDiffusionPropertySerializerTestSuite : public mitk::TestFixture { CPPUNIT_TEST_SUITE(mitkDiffusionPropertySerializerTestSuite); MITK_TEST(Equal_SerializeandDeserialize_ReturnsTrue); //MITK_TEST(Equal_DifferentChannels_ReturnFalse); CPPUNIT_TEST_SUITE_END(); private: /** Members used inside the different (sub-)tests. All members are initialized via setUp().*/ mitk::PropertyList::Pointer propList; //represet image propertylist mitk::BValueMapProperty::Pointer bvaluemap_prop; mitk::GradientDirectionsProperty::Pointer gradientdirection_prop; mitk::MeasurementFrameProperty::Pointer measurementframe_prop; public: /** * @brief Setup Always call this method before each Test-case to ensure correct and new intialization of the used members for a new test case. (If the members are not used in a test, the method does not need to be called). */ void setUp() override { propList = mitk::PropertyList::New(); mitk::BValueMapProperty::BValueMap map; std::vector indices1; indices1.push_back(1); indices1.push_back(2); indices1.push_back(3); indices1.push_back(4); map[0] = indices1; std::vector indices2; indices2.push_back(4); indices2.push_back(3); indices2.push_back(2); indices2.push_back(1); map[1000] = indices2; bvaluemap_prop = mitk::BValueMapProperty::New(map).GetPointer(); propList->SetProperty(mitk::DiffusionPropertyHelper::BVALUEMAPPROPERTYNAME.c_str(),bvaluemap_prop); mitk::GradientDirectionsProperty::GradientDirectionsContainerType::Pointer gdc; gdc = mitk::GradientDirectionsProperty::GradientDirectionsContainerType::New(); double a[3] = {3.0,4.0,1.4}; vnl_vector_fixed vec1; vec1.set(a); gdc->push_back(vec1); double b[3] = {1.0,5.0,123.4}; vnl_vector_fixed vec2; vec2.set(b); gdc->push_back(vec2); double c[3] = {13.0,84.02,13.4}; vnl_vector_fixed vec3; vec3.set(c); gdc->push_back(vec3); gradientdirection_prop = mitk::GradientDirectionsProperty::New(gdc.GetPointer()).GetPointer(); - propList->SetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), gradientdirection_prop); + propList->ReplaceProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), gradientdirection_prop); mitk::MeasurementFrameProperty::MeasurementFrameType mft; double row0[3] = {1,0,0}; double row1[3] = {0,1,0}; double row2[3] = {0,0,1}; mft.set_row(0,row0); mft.set_row(1,row1); mft.set_row(2,row2); measurementframe_prop = mitk::MeasurementFrameProperty::New(mft).GetPointer(); - propList->SetProperty(mitk::DiffusionPropertyHelper::MEASUREMENTFRAMEPROPERTYNAME.c_str(), measurementframe_prop); + propList->ReplaceProperty(mitk::DiffusionPropertyHelper::MEASUREMENTFRAMEPROPERTYNAME.c_str(), measurementframe_prop); } void tearDown() override { } void Equal_SerializeandDeserialize_ReturnsTrue() { assert(propList); /* try to serialize each property in the list, then deserialize again and check for equality */ for (mitk::PropertyList::PropertyMap::const_iterator it = propList->GetMap()->begin(); it != propList->GetMap()->end(); ++it) { const mitk::BaseProperty* prop = it->second; // construct name of serializer class std::string serializername = std::string(prop->GetNameOfClass()) + "Serializer"; std::list allSerializers = itk::ObjectFactoryBase::CreateAllInstance(serializername.c_str()); MITK_TEST_CONDITION(allSerializers.size() > 0, std::string("Creating serializers for ") + serializername); if (allSerializers.size() == 0) { MITK_TEST_OUTPUT( << "serialization not possible, skipping " << prop->GetNameOfClass()); continue; } if (allSerializers.size() > 1) { MITK_TEST_OUTPUT (<< "Warning: " << allSerializers.size() << " serializers found for " << prop->GetNameOfClass() << "testing only the first one."); } mitk::BasePropertySerializer* serializer = dynamic_cast( allSerializers.begin()->GetPointer()); MITK_TEST_CONDITION(serializer != nullptr, serializername + std::string(" is valid")); if (serializer != nullptr) { serializer->SetProperty(prop); TiXmlElement* valueelement = nullptr; try { valueelement = serializer->Serialize(); // TiXmlPrinter p; // valueelement->Accept(&p); // MITK_INFO << p.CStr(); } catch (...) { } MITK_TEST_CONDITION(valueelement != nullptr, std::string("Serialize property with ") + serializername); if (valueelement == nullptr) { MITK_TEST_OUTPUT( << "serialization failed, skipping deserialization"); continue; } mitk::BaseProperty::Pointer deserializedProp = serializer->Deserialize( valueelement ); MITK_TEST_CONDITION(deserializedProp.IsNotNull(), "serializer created valid property"); if (deserializedProp.IsNotNull()) { MITK_TEST_CONDITION(*(deserializedProp.GetPointer()) == *prop, "deserialized property equals initial property for type " << prop->GetNameOfClass()); } } else { MITK_TEST_OUTPUT( << "created serializer object is of class " << allSerializers.begin()->GetPointer()->GetNameOfClass()) } } // for all properties } }; MITK_TEST_SUITE_REGISTRATION(mitkDiffusionPropertySerializer) diff --git a/Modules/DiffusionImaging/DiffusionCore/autoload/IO/mitkDiffusionImageNiftiReaderService.cpp b/Modules/DiffusionImaging/DiffusionCore/autoload/IO/mitkDiffusionImageNiftiReaderService.cpp index 8c559ea58a..68cafb9fc2 100644 --- a/Modules/DiffusionImaging/DiffusionCore/autoload/IO/mitkDiffusionImageNiftiReaderService.cpp +++ b/Modules/DiffusionImaging/DiffusionCore/autoload/IO/mitkDiffusionImageNiftiReaderService.cpp @@ -1,476 +1,476 @@ /*=================================================================== The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center, Division of Medical and Biological Informatics. All rights reserved. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See LICENSE.txt or http://www.mitk.org for details. ===================================================================*/ #ifndef __mitkDiffusionImageNiftiReaderService_cpp #define __mitkDiffusionImageNiftiReaderService_cpp #include "mitkDiffusionImageNiftiReaderService.h" #include #include // Diffusion properties #include #include #include #include // ITK includes #include #include #include "itksys/SystemTools.hxx" #include "itkImageFileReader.h" #include "itkMetaDataObject.h" #include "itkNiftiImageIO.h" #include "mitkCustomMimeType.h" #include "mitkDiffusionCoreIOMimeTypes.h" #include #include #include #include #include "mitkIOUtil.h" namespace mitk { DiffusionImageNiftiReaderService:: DiffusionImageNiftiReaderService(const DiffusionImageNiftiReaderService & other) : AbstractFileReader(other) { } DiffusionImageNiftiReaderService* DiffusionImageNiftiReaderService::Clone() const { return new DiffusionImageNiftiReaderService(*this); } DiffusionImageNiftiReaderService:: ~DiffusionImageNiftiReaderService() {} DiffusionImageNiftiReaderService:: DiffusionImageNiftiReaderService(CustomMimeType mime_type, std::string mime_type_description ) : mitk::AbstractFileReader( mime_type, mime_type_description ) { m_ServiceReg = this->RegisterService(); } //DiffusionImageNiftiReaderService:: //DiffusionImageNiftiReaderService() : mitk::AbstractFileReader( CustomMimeType( mitk::DiffusionCoreIOMimeTypes::DWI_NIFTI_MIMETYPE() ), mitk::DiffusionCoreIOMimeTypes::DWI_NIFTI_MIMETYPE_DESCRIPTION() ) //{ // m_ServiceReg = this->RegisterService(); //} std::vector > DiffusionImageNiftiReaderService:: Read() { std::vector > result; // Since everything is completely read in GenerateOutputInformation() it is stored // in a cache variable. A timestamp is associated. // If the timestamp of the cache variable is newer than the MTime, we only need to // assign the cache variable to the DataObject. // Otherwise, the tree must be read again from the file and OuputInformation must // be updated! if(m_OutputCache.IsNull()) InternalRead(); result.push_back(m_OutputCache.GetPointer()); return result; } void DiffusionImageNiftiReaderService::InternalRead() { OutputType::Pointer outputForCache = OutputType::New(); if ( this->GetInputLocation() == "") { throw itk::ImageFileReaderException(__FILE__, __LINE__, "Sorry, the filename to be read is empty!"); } else { try { mitk::LocaleSwitch localeSwitch("C"); MITK_INFO << "DiffusionImageNiftiReaderService: reading image information"; VectorImageType::Pointer itkVectorImage; std::string ext = this->GetMimeType()->GetExtension( this->GetInputLocation() ); ext = itksys::SystemTools::LowerCase( ext ); if(ext == ".fsl" || ext == ".fslgz") { // create temporary file with correct ending for nifti-io std::string fname3 = "temp_dwi"; fname3 += ext == ".fsl" ? ".nii" : ".nii.gz"; itksys::SystemTools::CopyAFile(this->GetInputLocation().c_str(), fname3.c_str()); // create reader and read file typedef itk::Image ImageType4D; itk::NiftiImageIO::Pointer io2 = itk::NiftiImageIO::New(); typedef itk::ImageFileReader FileReaderType; FileReaderType::Pointer reader = FileReaderType::New(); reader->SetFileName(fname3); reader->SetImageIO(io2); reader->Update(); ImageType4D::Pointer img4 = reader->GetOutput(); // delete temporary file itksys::SystemTools::RemoveFile(fname3.c_str()); // convert 4D file to vector image itkVectorImage = VectorImageType::New(); VectorImageType::SpacingType spacing; ImageType4D::SpacingType spacing4 = img4->GetSpacing(); for(int i=0; i<3; i++) spacing[i] = spacing4[i]; itkVectorImage->SetSpacing( spacing ); // Set the image spacing VectorImageType::PointType origin; ImageType4D::PointType origin4 = img4->GetOrigin(); for(int i=0; i<3; i++) origin[i] = origin4[i]; itkVectorImage->SetOrigin( origin ); // Set the image origin VectorImageType::DirectionType direction; ImageType4D::DirectionType direction4 = img4->GetDirection(); for(int i=0; i<3; i++) for(int j=0; j<3; j++) direction[i][j] = direction4[i][j]; itkVectorImage->SetDirection( direction ); // Set the image direction VectorImageType::RegionType region; ImageType4D::RegionType region4 = img4->GetLargestPossibleRegion(); VectorImageType::RegionType::SizeType size; ImageType4D::RegionType::SizeType size4 = region4.GetSize(); for(int i=0; i<3; i++) size[i] = size4[i]; VectorImageType::RegionType::IndexType index; ImageType4D::RegionType::IndexType index4 = region4.GetIndex(); for(int i=0; i<3; i++) index[i] = index4[i]; region.SetSize(size); region.SetIndex(index); itkVectorImage->SetRegions( region ); itkVectorImage->SetVectorLength(size4[3]); itkVectorImage->Allocate(); itk::ImageRegionIterator it ( itkVectorImage, itkVectorImage->GetLargestPossibleRegion() ); typedef VectorImageType::PixelType VecPixType; for (it.GoToBegin(); !it.IsAtEnd(); ++it) { VecPixType vec = it.Get(); VectorImageType::IndexType currentIndex = it.GetIndex(); for(int i=0; i<3; i++) index4[i] = currentIndex[i]; for(unsigned int ind=0; indGetPixel(index4); } it.Set(vec); } } else if(ext == ".nii" || ext == ".nii.gz") { // create reader and read file typedef itk::Image ImageType4D; itk::NiftiImageIO::Pointer io2 = itk::NiftiImageIO::New(); typedef itk::ImageFileReader FileReaderType; FileReaderType::Pointer reader = FileReaderType::New(); reader->SetFileName( this->GetInputLocation() ); reader->SetImageIO(io2); reader->Update(); ImageType4D::Pointer img4 = reader->GetOutput(); // convert 4D file to vector image itkVectorImage = VectorImageType::New(); VectorImageType::SpacingType spacing; ImageType4D::SpacingType spacing4 = img4->GetSpacing(); for(int i=0; i<3; i++) spacing[i] = spacing4[i]; itkVectorImage->SetSpacing( spacing ); // Set the image spacing VectorImageType::PointType origin; ImageType4D::PointType origin4 = img4->GetOrigin(); for(int i=0; i<3; i++) origin[i] = origin4[i]; itkVectorImage->SetOrigin( origin ); // Set the image origin VectorImageType::DirectionType direction; ImageType4D::DirectionType direction4 = img4->GetDirection(); for(int i=0; i<3; i++) for(int j=0; j<3; j++) direction[i][j] = direction4[i][j]; itkVectorImage->SetDirection( direction ); // Set the image direction VectorImageType::RegionType region; ImageType4D::RegionType region4 = img4->GetLargestPossibleRegion(); VectorImageType::RegionType::SizeType size; ImageType4D::RegionType::SizeType size4 = region4.GetSize(); for(int i=0; i<3; i++) size[i] = size4[i]; VectorImageType::RegionType::IndexType index; ImageType4D::RegionType::IndexType index4 = region4.GetIndex(); for(int i=0; i<3; i++) index[i] = index4[i]; region.SetSize(size); region.SetIndex(index); itkVectorImage->SetRegions( region ); itkVectorImage->SetVectorLength(size4[3]); itkVectorImage->Allocate(); itk::ImageRegionIterator it ( itkVectorImage, itkVectorImage->GetLargestPossibleRegion() ); typedef VectorImageType::PixelType VecPixType; for (it.GoToBegin(); !it.IsAtEnd(); ++it) { VecPixType vec = it.Get(); VectorImageType::IndexType currentIndex = it.GetIndex(); for(int i=0; i<3; i++) index4[i] = currentIndex[i]; for(unsigned int ind=0; indGetPixel(index4); } it.Set(vec); } } // Diffusion Image information START GradientDirectionContainerType::Pointer DiffusionVectors = GradientDirectionContainerType::New(); MeasurementFrameType MeasurementFrame; float BValue = -1; // Diffusion Image information END if(ext == ".fsl" || ext == ".fslgz" || ext == ".nii" || ext == ".nii.gz") { // some parsing depending on the extension bool useFSLstyle( true ); std::string bvecsExtension(""); std::string bvalsExtension(""); std::string base_path = itksys::SystemTools::GetFilenamePath(this->GetInputLocation()); std::string base = this->GetMimeType()->GetFilenameWithoutExtension(this->GetInputLocation()); if (!base_path.empty()) { base = base_path + "/" + base; base_path += "/"; } // check for possible file names { if( useFSLstyle && itksys::SystemTools::FileExists( std::string( base + ".bvec").c_str() ) && itksys::SystemTools::FileExists( std::string( base + ".bval").c_str() ) ) { useFSLstyle = false; bvecsExtension = ".bvec"; bvalsExtension = ".bval"; } if( useFSLstyle && itksys::SystemTools::FileExists( std::string( base + ".bvecs").c_str() ) && itksys::SystemTools::FileExists( std::string( base + ".bvals").c_str() ) ) { useFSLstyle = false; bvecsExtension = ".bvecs"; bvalsExtension = ".bvals"; } } std::string line; std::vector bvec_entries; std::string fname = this->GetInputLocation(); if( useFSLstyle ) { fname += ".bvecs"; } else { fname = std::string( base + bvecsExtension); } // for hcp data if ( !itksys::SystemTools::FileExists( fname.c_str() ) ) { if ( itksys::SystemTools::FileExists( std::string( base_path + "bvec").c_str() ) ) fname = std::string( base_path + "bvec"); else if ( itksys::SystemTools::FileExists( std::string( base_path + "bvecs").c_str() ) ) fname = std::string( base_path + "bvecs"); } std::ifstream myfile (fname.c_str()); if (myfile.is_open()) { while ( myfile.good() ) { std::string line2; getline (myfile,line2); std::stringstream iss; iss << line2; while(getline(iss,line, ' ')) { // remove any potenial control sequences that might be introduced by lines ending in a single space line.erase(std::remove_if(line.begin(), line.end(), [](char c) { return std::isspace(c) || std::iscntrl(c); } ), line.end()); if (line.length() > 0 ) // otherwise string contained only control characters before, empty string are converted to 0 by atof resulting in a broken b-value list { bvec_entries.push_back(atof(line.c_str())); } } } myfile.close(); } else { MITK_INFO << "Unable to open bvecs file. Expected name: " << fname; } std::vector bval_entries; std::string fname2 = this->GetInputLocation(); if( useFSLstyle ) { fname2 += ".bvals"; } else { fname2 = std::string( base + bvalsExtension); } // for hcp data if ( !itksys::SystemTools::FileExists( fname2.c_str() ) ) { if ( itksys::SystemTools::FileExists( std::string( base_path + "bval").c_str() ) ) fname2 = std::string( base_path + "bval"); else if ( itksys::SystemTools::FileExists( std::string( base_path + "bvals").c_str() ) ) fname2 = std::string( base_path + "bvals"); } std::ifstream myfile2 (fname2.c_str()); if (myfile2.is_open()) { while ( myfile2.good() ) { getline (myfile2,line, ' '); // remove any potenial control sequences that might be introduced by lines ending in a single space line.erase(std::remove_if(line.begin(), line.end(), [](char c) { return std::isspace(c) || std::iscntrl(c); } ), line.end()); if (line.length() > 0 ) // otherwise string contained only control characters before, empty string are converted to 0 by atof resulting in a broken b-value list { bval_entries.push_back(atof(line.c_str())); } } myfile2.close(); } else { MITK_INFO << "Unable to open bvals file. Expected name: " << fname2; } // Take the largest entry in bvals as the reference b-value BValue = -1; unsigned int numb = bval_entries.size(); for(unsigned int i=0; iBValue) BValue = bval_entries.at(i); for(unsigned int i=0; i vec; vec[0] = bvec_entries.at(i); vec[1] = bvec_entries.at(i+numb); vec[2] = bvec_entries.at(i+2*numb); // Adjust the vector length to encode gradient strength float factor = b_val/BValue; if(vec.magnitude() > 0) { vec[0] = sqrt(factor)*vec[0]; vec[1] = sqrt(factor)*vec[1]; vec[2] = sqrt(factor)*vec[2]; } DiffusionVectors->InsertElement(i,vec); } for(int i=0; i<3; i++) for(int j=0; j<3; j++) MeasurementFrame[i][j] = i==j ? 1 : 0; } outputForCache = mitk::GrabItkImageMemory( itkVectorImage); // create BValueMap mitk::BValueMapProperty::BValueMap BValueMap = mitk::BValueMapProperty::CreateBValueMap(DiffusionVectors,BValue); - outputForCache->SetProperty( mitk::DiffusionPropertyHelper::ORIGINALGRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( DiffusionVectors ) ); - outputForCache->SetProperty( mitk::DiffusionPropertyHelper::MEASUREMENTFRAMEPROPERTYNAME.c_str(), mitk::MeasurementFrameProperty::New( MeasurementFrame ) ); - outputForCache->SetProperty( mitk::DiffusionPropertyHelper::BVALUEMAPPROPERTYNAME.c_str(), mitk::BValueMapProperty::New( BValueMap ) ); - outputForCache->SetProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( BValue ) ); + outputForCache->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::ORIGINALGRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( DiffusionVectors ) ); + outputForCache->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::MEASUREMENTFRAMEPROPERTYNAME.c_str(), mitk::MeasurementFrameProperty::New( MeasurementFrame ) ); + outputForCache->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::BVALUEMAPPROPERTYNAME.c_str(), mitk::BValueMapProperty::New( BValueMap ) ); + outputForCache->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( BValue ) ); mitk::DiffusionPropertyHelper propertyHelper( outputForCache ); propertyHelper.InitializeImage(); // Since we have already read the tree, we can store it in a cache variable // so that it can be assigned to the DataObject in GenerateData(); m_OutputCache = outputForCache; m_CacheTime.Modified(); } catch(std::exception& e) { MITK_INFO << "Std::Exception while reading file!!"; MITK_INFO << e.what(); throw itk::ImageFileReaderException(__FILE__, __LINE__, e.what()); } catch(...) { MITK_INFO << "Exception while reading file!!"; throw itk::ImageFileReaderException(__FILE__, __LINE__, "Sorry, an error occurred while reading the requested vessel tree file!"); } } } } //namespace MITK #endif diff --git a/Modules/DiffusionImaging/DiffusionCore/autoload/IO/mitkDiffusionImageNrrdReaderService.cpp b/Modules/DiffusionImaging/DiffusionCore/autoload/IO/mitkDiffusionImageNrrdReaderService.cpp index 47b68bc300..d7bb7e4b63 100644 --- a/Modules/DiffusionImaging/DiffusionCore/autoload/IO/mitkDiffusionImageNrrdReaderService.cpp +++ b/Modules/DiffusionImaging/DiffusionCore/autoload/IO/mitkDiffusionImageNrrdReaderService.cpp @@ -1,246 +1,246 @@ /*=================================================================== The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center, Division of Medical and Biological Informatics. All rights reserved. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See LICENSE.txt or http://www.mitk.org for details. ===================================================================*/ #ifndef __mitkDiffusionImageNrrdReaderService_cpp #define __mitkDiffusionImageNrrdReaderService_cpp #include "mitkDiffusionImageNrrdReaderService.h" #include #include // Diffusion properties #include #include #include #include // ITK includes #include #include #include "itksys/SystemTools.hxx" #include "itkImageFileReader.h" #include "itkMetaDataObject.h" #include "itkNrrdImageIO.h" #include "mitkCustomMimeType.h" #include "mitkDiffusionCoreIOMimeTypes.h" #include #include #include #include "mitkIOUtil.h" #include namespace mitk { DiffusionImageNrrdReaderService:: DiffusionImageNrrdReaderService(const DiffusionImageNrrdReaderService & other) : AbstractFileReader(other) { } DiffusionImageNrrdReaderService* DiffusionImageNrrdReaderService::Clone() const { return new DiffusionImageNrrdReaderService(*this); } DiffusionImageNrrdReaderService:: ~DiffusionImageNrrdReaderService() {} DiffusionImageNrrdReaderService:: DiffusionImageNrrdReaderService() : mitk::AbstractFileReader( CustomMimeType( mitk::DiffusionCoreIOMimeTypes::DWI_NRRD_MIMETYPE() ), mitk::DiffusionCoreIOMimeTypes::DWI_NRRD_MIMETYPE_DESCRIPTION() ) { m_ServiceReg = this->RegisterService(); } std::vector > DiffusionImageNrrdReaderService:: Read() { std::vector > result; // Since everything is completely read in GenerateOutputInformation() it is stored // in a cache variable. A timestamp is associated. // If the timestamp of the cache variable is newer than the MTime, we only need to // assign the cache variable to the DataObject. // Otherwise, the tree must be read again from the file and OuputInformation must // be updated! if(m_OutputCache.IsNull()) InternalRead(); result.push_back(m_OutputCache.GetPointer()); return result; } void DiffusionImageNrrdReaderService::InternalRead() { OutputType::Pointer outputForCache = OutputType::New(); if ( this->GetInputLocation() == "") { throw itk::ImageFileReaderException(__FILE__, __LINE__, "Sorry, the filename to be read is empty!"); } else { try { mitk::LocaleSwitch localeSwitch("C"); MITK_INFO << "DiffusionImageNrrdReaderService: reading image information"; VectorImageType::Pointer itkVectorImage; std::string ext = this->GetMimeType()->GetExtension( this->GetInputLocation() ); ext = itksys::SystemTools::LowerCase( ext ); if (ext == ".hdwi" || ext == ".dwi" || ext == ".nrrd") { typedef itk::ImageFileReader FileReaderType; FileReaderType::Pointer reader = FileReaderType::New(); reader->SetFileName(this->GetInputLocation()); itk::NrrdImageIO::Pointer io = itk::NrrdImageIO::New(); reader->SetImageIO(io); reader->Update(); itkVectorImage = reader->GetOutput(); } // Diffusion Image information START GradientDirectionContainerType::Pointer DiffusionVectors = GradientDirectionContainerType::New(); GradientDirectionContainerType::Pointer OriginalDiffusionVectors = GradientDirectionContainerType::New(); MeasurementFrameType MeasurementFrame; float BValue = -1; // Diffusion Image information END if (ext == ".hdwi" || ext == ".dwi" || ext == ".nrrd") { itk::MetaDataDictionary imgMetaDictionary = itkVectorImage->GetMetaDataDictionary(); std::vector imgMetaKeys = imgMetaDictionary.GetKeys(); std::vector::const_iterator itKey = imgMetaKeys.begin(); std::string metaString; GradientDirectionType vect3d; int numberOfImages = 0; int numberOfGradientImages = 0; bool readb0 = false; double xx, xy, xz, yx, yy, yz, zx, zy, zz; for (; itKey != imgMetaKeys.end(); itKey ++) { double x,y,z; itk::ExposeMetaData (imgMetaDictionary, *itKey, metaString); if (itKey->find("DWMRI_gradient") != std::string::npos) { sscanf(metaString.c_str(), "%lf %lf %lf\n", &x, &y, &z); vect3d[0] = x; vect3d[1] = y; vect3d[2] = z; DiffusionVectors->InsertElement( numberOfImages, vect3d ); ++numberOfImages; // If the direction is 0.0, this is a reference image if (vect3d[0] == 0.0 && vect3d[1] == 0.0 && vect3d[2] == 0.0) { continue; } ++numberOfGradientImages;; } else if (itKey->find("DWMRI_b-value") != std::string::npos) { readb0 = true; BValue = atof(metaString.c_str()); } else if (itKey->find("measurement frame") != std::string::npos) { sscanf(metaString.c_str(), " ( %lf , %lf , %lf ) ( %lf , %lf , %lf ) ( %lf , %lf , %lf ) \n", &xx, &xy, &xz, &yx, &yy, &yz, &zx, &zy, &zz); if (xx>10e-10 || xy>10e-10 || xz>10e-10 || yx>10e-10 || yy>10e-10 || yz>10e-10 || zx>10e-10 || zy>10e-10 || zz>10e-10 ) { MeasurementFrame(0,0) = xx; MeasurementFrame(0,1) = xy; MeasurementFrame(0,2) = xz; MeasurementFrame(1,0) = yx; MeasurementFrame(1,1) = yy; MeasurementFrame(1,2) = yz; MeasurementFrame(2,0) = zx; MeasurementFrame(2,1) = zy; MeasurementFrame(2,2) = zz; } else { MeasurementFrame(0,0) = 1; MeasurementFrame(0,1) = 0; MeasurementFrame(0,2) = 0; MeasurementFrame(1,0) = 0; MeasurementFrame(1,1) = 1; MeasurementFrame(1,2) = 0; MeasurementFrame(2,0) = 0; MeasurementFrame(2,1) = 0; MeasurementFrame(2,2) = 1; } } } if(!readb0) { MITK_INFO << "BValue not specified in header file"; } } outputForCache = mitk::GrabItkImageMemory( itkVectorImage); // create BValueMap mitk::BValueMapProperty::BValueMap BValueMap = mitk::BValueMapProperty::CreateBValueMap(DiffusionVectors,BValue); - outputForCache->SetProperty( mitk::DiffusionPropertyHelper::ORIGINALGRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( DiffusionVectors ) ); - outputForCache->SetProperty( mitk::DiffusionPropertyHelper::MEASUREMENTFRAMEPROPERTYNAME.c_str(), mitk::MeasurementFrameProperty::New( MeasurementFrame ) ); - outputForCache->SetProperty( mitk::DiffusionPropertyHelper::BVALUEMAPPROPERTYNAME.c_str(), mitk::BValueMapProperty::New( BValueMap ) ); - outputForCache->SetProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( BValue ) ); + outputForCache->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::ORIGINALGRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( DiffusionVectors ) ); + outputForCache->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::MEASUREMENTFRAMEPROPERTYNAME.c_str(), mitk::MeasurementFrameProperty::New( MeasurementFrame ) ); + outputForCache->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::BVALUEMAPPROPERTYNAME.c_str(), mitk::BValueMapProperty::New( BValueMap ) ); + outputForCache->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( BValue ) ); mitk::DiffusionPropertyHelper propertyHelper( outputForCache ); propertyHelper.InitializeImage(); // Since we have already read the tree, we can store it in a cache variable // so that it can be assigned to the DataObject in GenerateData(); m_OutputCache = outputForCache; m_CacheTime.Modified(); } catch(std::exception& e) { MITK_INFO << "Std::Exception while reading file!!"; MITK_INFO << e.what(); throw itk::ImageFileReaderException(__FILE__, __LINE__, e.what()); } catch(...) { MITK_INFO << "Exception while reading file!!"; throw itk::ImageFileReaderException(__FILE__, __LINE__, "Sorry, an error occurred while reading the requested vessel tree file!"); } } } } //namespace MITK #endif diff --git a/Modules/DiffusionImaging/DiffusionCore/cmdapps/DiffusionDICOMLoader.cpp b/Modules/DiffusionImaging/DiffusionCore/cmdapps/DiffusionDICOMLoader.cpp index 7fc53f7bfe..c9fae223b2 100644 --- a/Modules/DiffusionImaging/DiffusionCore/cmdapps/DiffusionDICOMLoader.cpp +++ b/Modules/DiffusionImaging/DiffusionCore/cmdapps/DiffusionDICOMLoader.cpp @@ -1,318 +1,318 @@ /*=================================================================== The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center, Division of Medical and Biological Informatics. All rights reserved. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See LICENSE.txt or http://www.mitk.org for details. ===================================================================*/ #include "mitkImage.h" #include "mitkBaseData.h" #include #include #include #include #include #include "mitkCommandLineParser.h" #include #include #include "mitkDiffusionDICOMFileReader.h" #include "mitkSortByImagePositionPatient.h" #include "mitkDICOMTagBasedSorter.h" #include "mitkDICOMSortByTag.h" #include "itkMergeDiffusionImagesFilter.h" #include using namespace std; static mitk::StringList& GetInputFilenames() { static mitk::StringList inputs; return inputs; } // FIXME slash at the end void SetInputFileNames( std::string input_directory ) { // I. Get all files in directory itksys::Directory input; input.Load( input_directory.c_str() ); // II. Push back files mitk::StringList inputlist;//, mergedlist; for( unsigned long idx=0; idxAddDistinguishingTag( mitk::DICOMTag(0x0028, 0x0010) ); // Number of Rows tagSorter->AddDistinguishingTag( mitk::DICOMTag(0x0028, 0x0011) ); // Number of Columns tagSorter->AddDistinguishingTag( mitk::DICOMTag(0x0028, 0x0030) ); // Pixel Spacing tagSorter->AddDistinguishingTag( mitk::DICOMTag(0x0018, 0x1164) ); // Imager Pixel Spacing tagSorter->AddDistinguishingTag( mitk::DICOMTag(0x0020, 0x0037) ); // Image Orientation (Patient) // TODO add tolerance parameter (l. 1572 of original code) // TODO handle as real vectors! cluster with configurable errors! tagSorter->AddDistinguishingTag( mitk::DICOMTag(0x0020, 0x000e) ); // Series Instance UID tagSorter->AddDistinguishingTag( mitk::DICOMTag(0x0018, 0x0050) ); // Slice Thickness tagSorter->AddDistinguishingTag( mitk::DICOMTag(0x0028, 0x0008) ); // Number of Frames //tagSorter->AddDistinguishingTag( mitk::DICOMTag(0x0020, 0x0052) ); // Frame of Reference UID // gdcmReader->AddSortingElement( tagSorter ); //mitk::DICOMFileReaderTestHelper::TestOutputsContainInputs( gdcmReader ); mitk::DICOMSortCriterion::ConstPointer sorting = mitk::SortByImagePositionPatient::New( // Image Position (Patient) //mitk::DICOMSortByTag::New( mitk::DICOMTag(0x0020, 0x0013), // instance number mitk::DICOMSortByTag::New( mitk::DICOMTag(0x0020, 0x0012), // aqcuisition number mitk::DICOMSortByTag::New( mitk::DICOMTag(0x0008, 0x0032), // aqcuisition time mitk::DICOMSortByTag::New( mitk::DICOMTag(0x0018, 0x1060), // trigger time mitk::DICOMSortByTag::New( mitk::DICOMTag(0x0008, 0x0018) // SOP instance UID (last resort, not really meaningful but decides clearly) ).GetPointer() ).GetPointer() ).GetPointer() ).GetPointer() // ).GetPointer() ).GetPointer(); tagSorter->SetSortCriterion( sorting ); // mosaic //gdcmReader->SetResolveMosaic( this->m_Controls->m_SplitMosaicCheckBox->isChecked() ); gdcmReader->AddSortingElement( tagSorter );*/ gdcmReader->SetInputFiles( input_files ); try { gdcmReader->AnalyzeInputFiles(); } catch( const itk::ExceptionObject &e) { MITK_ERROR << "Failed to analyze data. " << e.what(); } catch( const std::exception &se) { MITK_ERROR << "Std Exception " << se.what(); } gdcmReader->LoadImages(); mitk::Image::Pointer loaded_image = gdcmReader->GetOutput(0).GetMitkImage(); return loaded_image; } typedef short DiffusionPixelType; typedef itk::VectorImage DwiImageType; typedef DwiImageType::PixelType DwiPixelType; typedef DwiImageType::RegionType DwiRegionType; typedef std::vector< DwiImageType::Pointer > DwiImageContainerType; typedef mitk::Image DiffusionImageType; typedef mitk::DiffusionPropertyHelper::GradientDirectionsContainerType GradientContainerType; typedef std::vector< GradientContainerType::Pointer > GradientListContainerType; void SearchForInputInSubdirs( std::string root_directory, std::string subdir_prefix , std::vector& output_container) { // I. Get all dirs in directory itksys::Directory rootdir; rootdir.Load( root_directory.c_str() ); MITK_INFO("dicom.loader.setinputdirs.start") << "Prefix = " << subdir_prefix; for( unsigned int idx=0; idx parsedArgs = parser.parseArguments(argc, argv); if (parsedArgs.size()==0) { return EXIT_FAILURE; } std::string inputDirectory = us::any_cast( parsedArgs["inputdir"] ); MITK_INFO << "Loading data from directory: " << inputDirectory; // retrieve the prefix flag (if set) bool search_for_subdirs = false; std::string subdir_prefix; if( parsedArgs.count("dwprefix")) { subdir_prefix = us::any_cast( parsedArgs["dwprefix"] ); if (subdir_prefix != "") { MITK_INFO << "Prefix specified, will search for subdirs in the input directory!"; search_for_subdirs = true; } } // retrieve the output std::string outputFile = us::any_cast< std::string >( parsedArgs["output"] ); // if the executable is called with a single directory, just parse the given folder for files and read them into a diffusion image if( !search_for_subdirs ) { SetInputFileNames( inputDirectory ); MITK_INFO << "Got " << GetInputFilenames().size() << " input files."; mitk::Image::Pointer d_img = ReadInDICOMFiles( GetInputFilenames(), outputFile ); try { mitk::IOUtil::Save(d_img, outputFile.c_str()); } catch( const itk::ExceptionObject& e) { MITK_ERROR << "Failed to write out the output file. \n\t Reason : ITK Exception " << e.what(); } } // if the --dwprefix flag is set, then we have to look for the directories, load each of them separately and afterwards merge the images else { std::vector output_container; SearchForInputInSubdirs( inputDirectory, subdir_prefix, output_container ); // final output image mitk::Image::Pointer image = mitk::Image::New(); if( output_container.size() > 1 ) { DwiImageContainerType imageContainer; GradientListContainerType gradientListContainer; std::vector< double > bValueContainer; for ( std::vector< mitk::Image::Pointer >::iterator dwi = output_container.begin(); dwi != output_container.end(); ++dwi ) { mitk::DiffusionPropertyHelper::ImageType::Pointer itkVectorImagePointer = mitk::DiffusionPropertyHelper::ImageType::New(); mitk::CastToItkImage(*dwi, itkVectorImagePointer); imageContainer.push_back(itkVectorImagePointer); gradientListContainer.push_back( mitk::DiffusionPropertyHelper::GetGradientContainer(*dwi)); bValueContainer.push_back( mitk::DiffusionPropertyHelper::GetReferenceBValue(*dwi)); } typedef itk::MergeDiffusionImagesFilter FilterType; FilterType::Pointer filter = FilterType::New(); filter->SetImageVolumes(imageContainer); filter->SetGradientLists(gradientListContainer); filter->SetBValues(bValueContainer); filter->Update(); vnl_matrix_fixed< double, 3, 3 > mf; mf.set_identity(); image = mitk::GrabItkImageMemory( filter->GetOutput() ); - image->SetProperty( mitk::DiffusionPropertyHelper::ORIGINALGRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( filter->GetOutputGradients() ) ); - image->SetProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( filter->GetB_Value() ) ); - image->SetProperty( mitk::DiffusionPropertyHelper::MEASUREMENTFRAMEPROPERTYNAME.c_str(), mitk::MeasurementFrameProperty::New( mf ) ); + image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::ORIGINALGRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( filter->GetOutputGradients() ) ); + image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( filter->GetB_Value() ) ); + image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::MEASUREMENTFRAMEPROPERTYNAME.c_str(), mitk::MeasurementFrameProperty::New( mf ) ); mitk::DiffusionPropertyHelper propertyHelper( image ); propertyHelper.InitializeImage(); } // just output the image if there was only one folder found else { image = output_container.at(0); } MITK_INFO("dicom.import.writeout") << " [OutputFile] " << outputFile.c_str(); try { mitk::IOUtil::Save(image, outputFile.c_str()); } catch( const itk::ExceptionObject& e) { MITK_ERROR << "Failed to write out the output file. \n\t Reason : ITK Exception " << e.what(); } } return 1; } diff --git a/Modules/DiffusionImaging/DiffusionCore/cmdapps/DwiDenoising.cpp b/Modules/DiffusionImaging/DiffusionCore/cmdapps/DwiDenoising.cpp index 5e4fba6680..c63a897da3 100644 --- a/Modules/DiffusionImaging/DiffusionCore/cmdapps/DwiDenoising.cpp +++ b/Modules/DiffusionImaging/DiffusionCore/cmdapps/DwiDenoising.cpp @@ -1,139 +1,139 @@ /*=================================================================== The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center, Division of Medical and Biological Informatics. All rights reserved. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See LICENSE.txt or http://www.mitk.org for details. ===================================================================*/ #include #include "mitkCommandLineParser.h" #include #include #include #include #include #include #include #include #include #include using namespace std; typedef mitk::Image DiffusionImageType; typedef itk::Image ImageType; /** * Denoises DWI using the Nonlocal - Means algorithm */ int main(int argc, char* argv[]) { mitkCommandLineParser parser; parser.setTitle("DWI Denoising"); parser.setCategory("Preprocessing Tools"); parser.setContributor("MIC"); parser.setDescription("Denoising for diffusion weighted images using a non-local means algorithm."); parser.setArgumentPrefix("--", "-"); parser.addArgument("input", "i", mitkCommandLineParser::InputFile, "Input:", "input image (DWI)", us::Any(), false); parser.addArgument("variance", "v", mitkCommandLineParser::Float, "Variance:", "noise variance", us::Any(), false); parser.addArgument("mask", "m", mitkCommandLineParser::InputFile, "Mask:", "brainmask for input image", us::Any(), true); parser.addArgument("search", "s", mitkCommandLineParser::Int, "Search radius:", "search radius", us::Any(), true); parser.addArgument("compare", "c", mitkCommandLineParser::Int, "Comparison radius:", "comparison radius", us::Any(), true); parser.addArgument("joint", "j", mitkCommandLineParser::Bool, "Joint information:", "use joint information"); parser.addArgument("rician", "r", mitkCommandLineParser::Bool, "Rician adaption:", "use rician adaption"); parser.changeParameterGroup("Output", "Output of this miniapp"); parser.addArgument("output", "o", mitkCommandLineParser::OutputFile, "Output:", "output image (DWI)", us::Any(), false); map parsedArgs = parser.parseArguments(argc, argv); if (parsedArgs.size()==0) return EXIT_FAILURE; string inFileName = us::any_cast(parsedArgs["input"]); double variance = static_cast(us::any_cast(parsedArgs["variance"])); string maskName; if (parsedArgs.count("mask")) maskName = us::any_cast(parsedArgs["mask"]); string outFileName = us::any_cast(parsedArgs["output"]); // boost::algorithm::erase_all(outFileName, ".dwi"); int search = 4; if (parsedArgs.count("search")) search = us::any_cast(parsedArgs["search"]); int compare = 1; if (parsedArgs.count("compare")) compare = us::any_cast(parsedArgs["compare"]); bool joint = false; if (parsedArgs.count("joint")) joint = true; bool rician = false; if (parsedArgs.count("rician")) rician = true; try { mitk::PreferenceListReaderOptionsFunctor functor = mitk::PreferenceListReaderOptionsFunctor({"Diffusion Weighted Images"}, {}); DiffusionImageType::Pointer dwi = dynamic_cast(mitk::IOUtil::LoadImage(inFileName, &functor).GetPointer()); mitk::DiffusionPropertyHelper::ImageType::Pointer itkVectorImagePointer = mitk::DiffusionPropertyHelper::ImageType::New(); mitk::CastToItkImage(dwi, itkVectorImagePointer); itk::NonLocalMeansDenoisingFilter::Pointer filter = itk::NonLocalMeansDenoisingFilter::New(); filter->SetNumberOfThreads(12); filter->SetInputImage( itkVectorImagePointer ); if (!maskName.empty()) { mitk::Image::Pointer mask = dynamic_cast(mitk::IOUtil::Load(maskName)[0].GetPointer()); ImageType::Pointer itkMask = ImageType::New(); mitk::CastToItkImage(mask, itkMask); filter->SetInputMask(itkMask); } filter->SetUseJointInformation(joint); filter->SetUseRicianAdaption(rician); filter->SetSearchRadius(search); filter->SetComparisonRadius(compare); filter->SetVariance(variance); filter->Update(); DiffusionImageType::Pointer output = mitk::GrabItkImageMemory( filter->GetOutput() ); - output->SetProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( mitk::DiffusionPropertyHelper::GetReferenceBValue(dwi) ) ); - output->SetProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( mitk::DiffusionPropertyHelper::GetGradientContainer(dwi) ) ); + output->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( mitk::DiffusionPropertyHelper::GetReferenceBValue(dwi) ) ); + output->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( mitk::DiffusionPropertyHelper::GetGradientContainer(dwi) ) ); mitk::DiffusionPropertyHelper propertyHelper( output ); propertyHelper.InitializeImage(); // std::stringstream name; // name << outFileName << "_NLM_" << search << "-" << compare << "-" << variance << ".dwi"; mitk::IOUtil::Save(output, outFileName.c_str()); } catch (itk::ExceptionObject e) { std::cout << e; return EXIT_FAILURE; } catch (std::exception e) { std::cout << e.what(); return EXIT_FAILURE; } catch (...) { std::cout << "ERROR!?!"; return EXIT_FAILURE; } return EXIT_SUCCESS; } diff --git a/Modules/DiffusionImaging/DiffusionCore/cmdapps/ImageResampler.cpp b/Modules/DiffusionImaging/DiffusionCore/cmdapps/ImageResampler.cpp index 757bf2449a..bedcbce6ad 100644 --- a/Modules/DiffusionImaging/DiffusionCore/cmdapps/ImageResampler.cpp +++ b/Modules/DiffusionImaging/DiffusionCore/cmdapps/ImageResampler.cpp @@ -1,423 +1,423 @@ /*=================================================================== The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center, Division of Medical and Biological Informatics. All rights reserved. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See LICENSE.txt or http://www.mitk.org for details. ===================================================================*/ #include "mitkCommandLineParser.h" #include #include #include #include #include #include #include #include // ITK #include #include #include "itkLinearInterpolateImageFunction.h" #include "itkWindowedSincInterpolateImageFunction.h" #include "itkNearestNeighborInterpolateImageFunction.h" #include "itkIdentityTransform.h" #include "itkResampleImageFilter.h" #include "itkResampleDwiImageFilter.h" using namespace std; typedef itk::Image InputImageType; typedef itk::Image BinaryImageType; static mitk::Image::Pointer TransformToReference(mitk::Image *reference, mitk::Image *moving, bool sincInterpol = false, bool nn = false) { // Convert to itk Images // Identify Transform typedef itk::IdentityTransform T_Transform; T_Transform::Pointer _pTransform = T_Transform::New(); _pTransform->SetIdentity(); typedef itk::WindowedSincInterpolateImageFunction< InputImageType, 3> WindowedSincInterpolatorType; WindowedSincInterpolatorType::Pointer sinc_interpolator = WindowedSincInterpolatorType::New(); typedef itk::LinearInterpolateImageFunction< InputImageType> LinearInterpolateImageFunctionType; LinearInterpolateImageFunctionType::Pointer lin_interpolator = LinearInterpolateImageFunctionType::New(); typedef itk::NearestNeighborInterpolateImageFunction< BinaryImageType> NearestNeighborInterpolateImageFunctionType; NearestNeighborInterpolateImageFunctionType::Pointer nn_interpolator = NearestNeighborInterpolateImageFunctionType::New(); if (!nn) { InputImageType::Pointer itkReference = InputImageType::New(); InputImageType::Pointer itkMoving = InputImageType::New(); mitk::CastToItkImage(reference,itkReference); mitk::CastToItkImage(moving,itkMoving); typedef itk::ResampleImageFilter ResampleFilterType; ResampleFilterType::Pointer resampler = ResampleFilterType::New(); resampler->SetInput(itkMoving); resampler->SetReferenceImage( itkReference ); resampler->UseReferenceImageOn(); resampler->SetTransform(_pTransform); if ( sincInterpol) resampler->SetInterpolator(sinc_interpolator); else resampler->SetInterpolator(lin_interpolator); resampler->Update(); // Convert back to mitk mitk::Image::Pointer result = mitk::Image::New(); result->InitializeByItk(resampler->GetOutput()); GrabItkImageMemory( resampler->GetOutput() , result ); return result; } BinaryImageType::Pointer itkReference = BinaryImageType::New(); BinaryImageType::Pointer itkMoving = BinaryImageType::New(); mitk::CastToItkImage(reference,itkReference); mitk::CastToItkImage(moving,itkMoving); typedef itk::ResampleImageFilter ResampleFilterType; ResampleFilterType::Pointer resampler = ResampleFilterType::New(); resampler->SetInput(itkMoving); resampler->SetReferenceImage( itkReference ); resampler->UseReferenceImageOn(); resampler->SetTransform(_pTransform); resampler->SetInterpolator(nn_interpolator); resampler->Update(); // Convert back to mitk mitk::Image::Pointer result = mitk::Image::New(); result->InitializeByItk(resampler->GetOutput()); GrabItkImageMemory( resampler->GetOutput() , result ); return result; } static std::vector &split(const std::string &s, char delim, std::vector &elems) { std::stringstream ss(s); std::string item; while (std::getline(ss, item, delim)) { elems.push_back(item); } return elems; } static std::vector split(const std::string &s, char delim) { std::vector < std::string > elems; return split(s, delim, elems); } static mitk::Image::Pointer ResampleBySpacing(mitk::Image *input, float *spacing, bool useLinInt = true, bool useNN = false) { if (!useNN) { InputImageType::Pointer itkImage = InputImageType::New(); CastToItkImage(input,itkImage); /** * 1) Resampling * */ // Identity transform. // We don't want any transform on our image except rescaling which is not // specified by a transform but by the input/output spacing as we will see // later. // So no transform will be specified. typedef itk::IdentityTransform T_Transform; // The resampler type itself. typedef itk::ResampleImageFilter T_ResampleFilter; // Prepare the resampler. // Instantiate the transform and specify it should be the id transform. T_Transform::Pointer _pTransform = T_Transform::New(); _pTransform->SetIdentity(); // Instantiate the resampler. Wire in the transform and the interpolator. T_ResampleFilter::Pointer _pResizeFilter = T_ResampleFilter::New(); // Specify the input. _pResizeFilter->SetInput(itkImage); _pResizeFilter->SetTransform(_pTransform); // Set the output origin. _pResizeFilter->SetOutputOrigin(itkImage->GetOrigin()); // Compute the size of the output. // The size (# of pixels) in the output is recomputed using // the ratio of the input and output sizes. InputImageType::SpacingType inputSpacing = itkImage->GetSpacing(); InputImageType::SpacingType outputSpacing; const InputImageType::RegionType& inputSize = itkImage->GetLargestPossibleRegion(); InputImageType::SizeType outputSize; typedef InputImageType::SizeType::SizeValueType SizeValueType; // Set the output spacing. outputSpacing[0] = spacing[0]; outputSpacing[1] = spacing[1]; outputSpacing[2] = spacing[2]; outputSize[0] = static_cast(inputSize.GetSize()[0] * inputSpacing[0] / outputSpacing[0] + .5); outputSize[1] = static_cast(inputSize.GetSize()[1] * inputSpacing[1] / outputSpacing[1] + .5); outputSize[2] = static_cast(inputSize.GetSize()[2] * inputSpacing[2] / outputSpacing[2] + .5); _pResizeFilter->SetOutputSpacing(outputSpacing); _pResizeFilter->SetSize(outputSize); typedef itk::LinearInterpolateImageFunction< InputImageType > LinearInterpolatorType; LinearInterpolatorType::Pointer lin_interpolator = LinearInterpolatorType::New(); typedef itk::WindowedSincInterpolateImageFunction< InputImageType, 4> WindowedSincInterpolatorType; WindowedSincInterpolatorType::Pointer sinc_interpolator = WindowedSincInterpolatorType::New(); if (useLinInt) _pResizeFilter->SetInterpolator(lin_interpolator); else _pResizeFilter->SetInterpolator(sinc_interpolator); _pResizeFilter->Update(); mitk::Image::Pointer image = mitk::Image::New(); image->InitializeByItk(_pResizeFilter->GetOutput()); mitk::GrabItkImageMemory( _pResizeFilter->GetOutput(), image); return image; } BinaryImageType::Pointer itkImage = BinaryImageType::New(); CastToItkImage(input,itkImage); /** * 1) Resampling * */ // Identity transform. // We don't want any transform on our image except rescaling which is not // specified by a transform but by the input/output spacing as we will see // later. // So no transform will be specified. typedef itk::IdentityTransform T_Transform; // The resampler type itself. typedef itk::ResampleImageFilter T_ResampleFilter; // Prepare the resampler. // Instantiate the transform and specify it should be the id transform. T_Transform::Pointer _pTransform = T_Transform::New(); _pTransform->SetIdentity(); // Instantiate the resampler. Wire in the transform and the interpolator. T_ResampleFilter::Pointer _pResizeFilter = T_ResampleFilter::New(); // Specify the input. _pResizeFilter->SetInput(itkImage); _pResizeFilter->SetTransform(_pTransform); // Set the output origin. _pResizeFilter->SetOutputOrigin(itkImage->GetOrigin()); // Compute the size of the output. // The size (# of pixels) in the output is recomputed using // the ratio of the input and output sizes. BinaryImageType::SpacingType inputSpacing = itkImage->GetSpacing(); BinaryImageType::SpacingType outputSpacing; const BinaryImageType::RegionType& inputSize = itkImage->GetLargestPossibleRegion(); BinaryImageType::SizeType outputSize; typedef BinaryImageType::SizeType::SizeValueType SizeValueType; // Set the output spacing. outputSpacing[0] = spacing[0]; outputSpacing[1] = spacing[1]; outputSpacing[2] = spacing[2]; outputSize[0] = static_cast(inputSize.GetSize()[0] * inputSpacing[0] / outputSpacing[0] + .5); outputSize[1] = static_cast(inputSize.GetSize()[1] * inputSpacing[1] / outputSpacing[1] + .5); outputSize[2] = static_cast(inputSize.GetSize()[2] * inputSpacing[2] / outputSpacing[2] + .5); _pResizeFilter->SetOutputSpacing(outputSpacing); _pResizeFilter->SetSize(outputSize); typedef itk::NearestNeighborInterpolateImageFunction< BinaryImageType> NearestNeighborInterpolateImageType; NearestNeighborInterpolateImageType::Pointer nn_interpolator = NearestNeighborInterpolateImageType::New(); _pResizeFilter->SetInterpolator(nn_interpolator); _pResizeFilter->Update(); mitk::Image::Pointer image = mitk::Image::New(); image->InitializeByItk(_pResizeFilter->GetOutput()); mitk::GrabItkImageMemory( _pResizeFilter->GetOutput(), image); return image; } static mitk::Image::Pointer ResampleDWIbySpacing(mitk::Image::Pointer input, float* spacing) { itk::Vector spacingVector; spacingVector[0] = spacing[0]; spacingVector[1] = spacing[1]; spacingVector[2] = spacing[2]; typedef itk::ResampleDwiImageFilter ResampleFilterType; mitk::DiffusionPropertyHelper::ImageType::Pointer itkVectorImagePointer = mitk::DiffusionPropertyHelper::ImageType::New(); mitk::CastToItkImage(input, itkVectorImagePointer); ResampleFilterType::Pointer resampler = ResampleFilterType::New(); resampler->SetInput( itkVectorImagePointer ); resampler->SetInterpolation(ResampleFilterType::Interpolate_Linear); resampler->SetNewSpacing(spacingVector); resampler->Update(); mitk::Image::Pointer output = mitk::GrabItkImageMemory( resampler->GetOutput() ); - output->SetProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( mitk::DiffusionPropertyHelper::GetGradientContainer(input) ) ); - output->SetProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( mitk::DiffusionPropertyHelper::GetReferenceBValue(input) ) ); + output->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( mitk::DiffusionPropertyHelper::GetGradientContainer(input) ) ); + output->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( mitk::DiffusionPropertyHelper::GetReferenceBValue(input) ) ); mitk::DiffusionPropertyHelper propertyHelper( output ); propertyHelper.InitializeImage(); return output; } int main( int argc, char* argv[] ) { mitkCommandLineParser parser; parser.setArgumentPrefix("--","-"); parser.setTitle("Image Resampler"); parser.setCategory("Preprocessing Tools"); parser.setContributor("MIC"); parser.setDescription("Resample an image to eigther a specific spacing or to a reference image."); // Add command line argument names parser.addArgument("help", "h",mitkCommandLineParser::Bool, "Show this help text"); parser.addArgument("input", "i", mitkCommandLineParser::InputImage, "Input:", "Input file",us::Any(),false); parser.addArgument("output", "o", mitkCommandLineParser::OutputFile, "Output:", "Output file",us::Any(),false); parser.addArgument("spacing", "s", mitkCommandLineParser::String, "Spacing:", "Resample provide x,y,z spacing in mm (e.g. -r 1,1,3), is not applied to tensor data",us::Any()); parser.addArgument("reference", "r", mitkCommandLineParser::InputImage, "Reference:", "Resample using supplied reference image. Also cuts image to same dimensions",us::Any()); parser.addArgument("win-sinc", "w", mitkCommandLineParser::Bool, "Windowed-sinc interpolation:", "Use windowed-sinc interpolation (3) instead of linear interpolation ",us::Any()); parser.addArgument("nearest-neigh", "n", mitkCommandLineParser::Bool, "Nearest Neighbor:", "Use Nearest Neighbor interpolation instead of linear interpolation ",us::Any()); map parsedArgs = parser.parseArguments(argc, argv); // Handle special arguments bool useSpacing = false; bool useLinearInterpol = true; bool useNN= false; { if (parsedArgs.size() == 0) { return EXIT_FAILURE; } if (parsedArgs.count("sinc-int")) useLinearInterpol = false; if (parsedArgs.count("nearest-neigh")) useNN = true; // Show a help message if ( parsedArgs.count("help") || parsedArgs.count("h")) { std::cout << parser.helpText(); return EXIT_SUCCESS; } } std::string outputFile = us::any_cast(parsedArgs["output"]); std::string inputFile = us::any_cast(parsedArgs["input"]); std::vector spacings; float spacing[] = { 0.0f, 0.0f, 0.0f }; if (parsedArgs.count("spacing")) { std::string arg = us::any_cast(parsedArgs["spacing"]); if (arg != "") { spacings = split(arg ,','); spacing[0] = atoi(spacings.at(0).c_str()); spacing[1] = atoi(spacings.at(1).c_str()); spacing[2] = atoi(spacings.at(2).c_str()); useSpacing = true; } } std::string refImageFile = ""; if (parsedArgs.count("reference")) { refImageFile = us::any_cast(parsedArgs["reference"]); } if (refImageFile =="" && useSpacing == false) { MITK_ERROR << "No information how to resample is supplied. Use eigther --spacing or --reference !"; return EXIT_FAILURE; } mitk::Image::Pointer refImage; if (!useSpacing) refImage = dynamic_cast(mitk::IOUtil::Load(refImageFile)[0].GetPointer()); mitk::Image::Pointer inputDWI = dynamic_cast(mitk::IOUtil::Load(inputFile)[0].GetPointer()); if ( mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage(inputDWI.GetPointer())) { mitk::Image::Pointer outputImage; if (useSpacing) outputImage = ResampleDWIbySpacing(inputDWI, spacing); else { MITK_WARN << "Not supported yet, to resample a DWI please set a new spacing."; return EXIT_FAILURE; } mitk::IOUtil::Save(outputImage, outputFile.c_str()); return EXIT_SUCCESS; } mitk::Image::Pointer inputImage = dynamic_cast(mitk::IOUtil::Load(inputFile)[0].GetPointer()); mitk::Image::Pointer resultImage; if (useSpacing) resultImage = ResampleBySpacing(inputImage,spacing,useLinearInterpol,useNN); else resultImage = TransformToReference(refImage,inputImage,useLinearInterpol,useNN); mitk::IOUtil::Save(resultImage, outputFile); return EXIT_SUCCESS; } diff --git a/Modules/DiffusionImaging/DiffusionCore/cmdapps/ResampleGradients.cpp b/Modules/DiffusionImaging/DiffusionCore/cmdapps/ResampleGradients.cpp index 4069c25218..46d17bdaef 100644 --- a/Modules/DiffusionImaging/DiffusionCore/cmdapps/ResampleGradients.cpp +++ b/Modules/DiffusionImaging/DiffusionCore/cmdapps/ResampleGradients.cpp @@ -1,252 +1,243 @@ /*=================================================================== The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center, Division of Medical and Biological Informatics. All rights reserved. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See LICENSE.txt or http://www.mitk.org for details. ===================================================================*/ #include #include #include #include #include #include #include #include #include #include #include #include "mitkCommandLineParser.h" #include #include #include #include #include #include // itk includes #include // mitk includes #include #include "itkDWIVoxelFunctor.h" #include typedef short DiffusionPixelType; typedef itk::VectorImage< short, 3 > ItkDwiType; // itk includes #include "itkTimeProbe.h" #include "itkB0ImageExtractionImageFilter.h" #include "itkB0ImageExtractionToSeparateImageFilter.h" #include "itkBrainMaskExtractionImageFilter.h" #include "itkCastImageFilter.h" #include "itkVectorContainer.h" #include #include #include #include #include #include // Multishell includes #include // Multishell Functors #include #include #include #include // mitk includes #include "mitkProgressBar.h" #include "mitkStatusBar.h" #include "mitkNodePredicateDataType.h" #include "mitkProperties.h" #include "mitkVtkResliceInterpolationProperty.h" #include "mitkLookupTable.h" #include "mitkLookupTableProperty.h" #include "mitkTransferFunction.h" #include "mitkTransferFunctionProperty.h" //#include "mitkDataNodeObject.h" #include "mitkOdfNormalizationMethodProperty.h" #include "mitkOdfScaleByProperty.h" #include #include #include #include #include //#include //#include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include "mitkPreferenceListReaderOptionsFunctor.h" mitk::Image::Pointer DoReduceGradientDirections(mitk::Image::Pointer image, double BValue, unsigned int numOfGradientsToKeep) { bool isDiffusionImage( mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage(image) ); if ( !isDiffusionImage ) { std::cout << "Image is not a Diffusion Weighted Image" << std::endl; //return; } typedef itk::ElectrostaticRepulsionDiffusionGradientReductionFilter FilterType; typedef mitk::BValueMapProperty::BValueMap BValueMap; BValueMap shellSlectionMap; BValueMap originalShellMap = static_cast (image->GetProperty(mitk::DiffusionPropertyHelper::BVALUEMAPPROPERTYNAME.c_str()).GetPointer() ) ->GetBValueMap(); std::vector newNumGradientDirections; //Keeps 1 b0 gradient double B0Value = 0; shellSlectionMap[B0Value] = originalShellMap[B0Value]; unsigned int num = 1; newNumGradientDirections.push_back(num); //BValue = 1000; shellSlectionMap[BValue] = originalShellMap[BValue]; //numOfGradientsToKeep = 32; newNumGradientDirections.push_back(numOfGradientsToKeep); if (newNumGradientDirections.empty()) { std::cout << "newNumGradientDirections is empty" << std::endl; //return; } itk::DwiGradientLengthCorrectionFilter::GradientDirectionContainerType::Pointer gradientContainer = static_cast ( image->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() ) ->GetGradientDirectionsContainer(); ItkDwiType::Pointer itkVectorImagePointer = ItkDwiType::New(); mitk::CastToItkImage(image, itkVectorImagePointer); std::cout << "1" << std::endl; FilterType::Pointer filter = FilterType::New(); filter->SetInput( itkVectorImagePointer ); filter->SetOriginalGradientDirections(gradientContainer); filter->SetNumGradientDirections(newNumGradientDirections); filter->SetOriginalBValueMap(originalShellMap); filter->SetShellSelectionBValueMap(shellSlectionMap); filter->Update(); std::cout << "2" << std::endl; if( filter->GetOutput() == nullptr) { std::cout << "filter get output is nullptr" << std::endl; } mitk::Image::Pointer newImage = mitk::GrabItkImageMemory( filter->GetOutput() ); + mitk::DiffusionPropertyHelper::CopyProperties(image, newImage, true); - newImage->SetProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), + newImage->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( filter->GetGradientDirections() ) ); - newImage->SetProperty( mitk::DiffusionPropertyHelper::MEASUREMENTFRAMEPROPERTYNAME.c_str(), - mitk::MeasurementFrameProperty::New( static_cast - (image->GetProperty(mitk::DiffusionPropertyHelper::MEASUREMENTFRAMEPROPERTYNAME.c_str()).GetPointer() ) - ->GetMeasurementFrame() ) ); - - newImage->SetProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), - mitk::FloatProperty::New( static_cast - (image->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() ) - ->GetValue() ) ); - mitk::DiffusionPropertyHelper propertyHelper( newImage ); propertyHelper.InitializeImage(); //needed? return newImage; } /*! \brief Resample gradients of input DWI image. */ int main(int argc, char* argv[]) { mitkCommandLineParser parser; parser.setTitle("Resample Gradients"); parser.setCategory("Preprocessing Tools"); parser.setDescription("Resample gradients of input DWI image. You can select one b-value shell and the number of gradients within this shell you want to have. It will also keep one b0 image."); parser.setContributor("MIC"); parser.setArgumentPrefix("--", "-"); parser.addArgument("input", "i", mitkCommandLineParser::String, "Input:", "input image", us::Any(), false); parser.addArgument("output", "o", mitkCommandLineParser::String, "Output:", "output image", us::Any(), false); parser.addArgument("bValue", "b", mitkCommandLineParser::Float, "b-value:", "float", 1000, false); parser.addArgument("nrOfGradients", "n", mitkCommandLineParser::Int, "Nr of gradients:", "integer", 32, false); std::map parsedArgs = parser.parseArguments(argc, argv); if (parsedArgs.size()==0) return EXIT_FAILURE; - std::string inFileName = us::any_cast(parsedArgs["input"]); + std::string inFileName = us::any_cast(parsedArgs["input"]); std::string outFileName = us::any_cast(parsedArgs["output"]); double bValue = us::any_cast(parsedArgs["bValue"]); unsigned int nrOfGradients = us::any_cast(parsedArgs["nrOfGradients"]); try { mitk::PreferenceListReaderOptionsFunctor functor = mitk::PreferenceListReaderOptionsFunctor({ "Diffusion Weighted Images" }, {}); mitk::Image::Pointer mitkImage = dynamic_cast(mitk::IOUtil::LoadImage(inFileName, &functor).GetPointer()); mitk::Image::Pointer newImage = DoReduceGradientDirections(mitkImage, bValue, nrOfGradients); //mitk::IOUtil::Save(newImage, outFileName); //save as dwi image mitk::IOUtil::Save(newImage, "application/vnd.mitk.nii.gz", outFileName); //save as nifti image } catch (itk::ExceptionObject e) { std::cout << e; return EXIT_FAILURE; } catch (std::exception e) { std::cout << e.what(); return EXIT_FAILURE; } catch (...) { std::cout << "ERROR!?!"; return EXIT_FAILURE; } return EXIT_SUCCESS; } diff --git a/Modules/DiffusionImaging/DiffusionCore/src/Algorithms/Registration/mitkDWIHeadMotionCorrectionFilter.cpp b/Modules/DiffusionImaging/DiffusionCore/src/Algorithms/Registration/mitkDWIHeadMotionCorrectionFilter.cpp index 6bd55b4240..e011bdb11c 100644 --- a/Modules/DiffusionImaging/DiffusionCore/src/Algorithms/Registration/mitkDWIHeadMotionCorrectionFilter.cpp +++ b/Modules/DiffusionImaging/DiffusionCore/src/Algorithms/Registration/mitkDWIHeadMotionCorrectionFilter.cpp @@ -1,317 +1,317 @@ /*=================================================================== The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center, Division of Medical and Biological Informatics. All rights reserved. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See LICENSE.txt or http://www.mitk.org for details. ===================================================================*/ #ifndef MITKDWIHEADMOTIONCORRECTIONFILTER_CPP #define MITKDWIHEADMOTIONCORRECTIONFILTER_CPP #include "mitkDWIHeadMotionCorrectionFilter.h" #include "itkSplitDWImageFilter.h" #include "itkB0ImageExtractionToSeparateImageFilter.h" #include "mitkImageTimeSelector.h" #include "mitkPyramidImageRegistrationMethod.h" //#include "mitkRegistrationMethodITK4.h" #include #include "mitkDiffusionImageCorrectionFilter.h" #include #include #include #include "mitkIOUtil.h" #include mitk::DWIHeadMotionCorrectionFilter::DWIHeadMotionCorrectionFilter() : m_CurrentStep(0), m_Steps(100), m_IsInValidState(true), m_AbortRegistration(false), m_AverageUnweighted(true) { } void mitk::DWIHeadMotionCorrectionFilter::GenerateData() { typedef itk::SplitDWImageFilter< DiffusionPixelType, DiffusionPixelType> SplitFilterType; InputImageType* input = const_cast(this->GetInput(0)); ITKDiffusionImageType::Pointer itkVectorImagePointer = ITKDiffusionImageType::New(); mitk::CastToItkImage(input, itkVectorImagePointer); typedef mitk::PyramidImageRegistrationMethod RegistrationMethod; // typedef mitk::RegistrationMethodITKV4 RegistrationMethod unsigned int numberOfSteps = itkVectorImagePointer->GetNumberOfComponentsPerPixel () ; m_Steps = numberOfSteps; // // (1) Extract the b-zero images to a 3d+t image, register them by NCorr metric and // rigid registration : they will then be used are reference image for registering // the gradient images // typedef itk::B0ImageExtractionToSeparateImageFilter< DiffusionPixelType, DiffusionPixelType> B0ExtractorType; B0ExtractorType::Pointer b0_extractor = B0ExtractorType::New(); b0_extractor->SetInput( itkVectorImagePointer ); b0_extractor->SetDirections( static_cast( input->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer() ); b0_extractor->Update(); mitk::Image::Pointer b0Image = mitk::Image::New(); b0Image->InitializeByItk( b0_extractor->GetOutput() ); b0Image->SetImportChannel( b0_extractor->GetOutput()->GetBufferPointer(), mitk::Image::CopyMemory ); // (2.1) Use the extractor to access the extracted b0 volumes mitk::ImageTimeSelector::Pointer t_selector = mitk::ImageTimeSelector::New(); t_selector->SetInput( b0Image ); t_selector->SetTimeNr(0); t_selector->Update(); // first unweighted image as reference space for the registration mitk::Image::Pointer b0referenceImage = t_selector->GetOutput(); const unsigned int numberOfb0Images = b0Image->GetTimeSteps(); // register b-zeros only if the flag to average is set, use the first one otherwise if( m_AverageUnweighted && numberOfb0Images > 1) { RegistrationMethod::Pointer registrationMethod = RegistrationMethod::New(); registrationMethod->SetFixedImage( b0referenceImage ); registrationMethod->SetTransformToRigid(); // the unweighted images are of same modality registrationMethod->SetCrossModalityOff(); // use the advanced (windowed sinc) interpolation registrationMethod->SetUseAdvancedInterpolation(true); // Initialize the temporary output image mitk::Image::Pointer registeredB0Image = b0Image->Clone(); mitk::ImageTimeSelector::Pointer t_selector2 = mitk::ImageTimeSelector::New(); t_selector2->SetInput( b0Image ); for( unsigned int i=1; iSetTimeNr(i); t_selector2->Update(); registrationMethod->SetMovingImage( t_selector2->GetOutput() ); try { MITK_INFO << " === (" << i <<"/"<< numberOfb0Images-1 << ") :: Starting registration"; registrationMethod->Update(); } catch( const itk::ExceptionObject& e) { m_IsInValidState = false; mitkThrow() << "Failed to register the b0 images, the PyramidRegistration threw an exception: \n" << e.what(); } // import volume to the inter-results mitk::ImageWriteAccessor imac(registrationMethod->GetResampledMovingImage()); registeredB0Image->SetImportVolume( imac.GetData(), i, 0, mitk::Image::ReferenceMemory ); } // use the accumulateImageFilter as provided by the ItkAccumulateFilter method in the header file AccessFixedDimensionByItk_1(registeredB0Image, ItkAccumulateFilter, (4), b0referenceImage ); } // // (2) Split the diffusion image into a 3d+t regular image, extract only the weighted images // SplitFilterType::Pointer split_filter = SplitFilterType::New(); split_filter->SetInput (itkVectorImagePointer ); split_filter->SetExtractAllAboveThreshold(8, static_cast(input->GetProperty(mitk::DiffusionPropertyHelper::BVALUEMAPPROPERTYNAME.c_str()).GetPointer() )->GetBValueMap() ); try { split_filter->Update(); } catch( const itk::ExceptionObject &e) { m_IsInValidState = false; mitkThrow() << " Caught exception from SplitImageFilter : " << e.what(); } mitk::Image::Pointer splittedImage = mitk::Image::New(); splittedImage->InitializeByItk( split_filter->GetOutput() ); splittedImage->SetImportChannel( split_filter->GetOutput()->GetBufferPointer(), mitk::Image::CopyMemory ); // // (3) Use again the time-selector to access the components separately in order // to perform the registration of Image -> unweighted reference // RegistrationMethod::Pointer weightedRegistrationMethod = RegistrationMethod::New(); weightedRegistrationMethod->SetTransformToAffine(); weightedRegistrationMethod->SetCrossModalityOn(); // // - (3.1) Set the reference image // - a single b0 image // - average over the registered b0 images if multiple present // weightedRegistrationMethod->SetFixedImage( b0referenceImage ); // use the advanced (windowed sinc) interpolation weightedRegistrationMethod->SetUseAdvancedInterpolation(true); weightedRegistrationMethod->SetVerboseOn(); // // - (3.2) Register all timesteps in the splitted image onto the first reference // unsigned int maxImageIdx = splittedImage->GetTimeSteps(); mitk::TimeGeometry* tsg = splittedImage->GetTimeGeometry(); mitk::ProportionalTimeGeometry* ptg = dynamic_cast(tsg); ptg->Expand(maxImageIdx+1); ptg->SetTimeStepGeometry( ptg->GetGeometryForTimeStep(0), maxImageIdx ); mitk::Image::Pointer registeredWeighted = mitk::Image::New(); registeredWeighted->Initialize( splittedImage->GetPixelType(0), *tsg ); // insert the first unweighted reference as the first volume // in own scope to release the accessor asap after copy { mitk::ImageWriteAccessor imac(b0referenceImage); registeredWeighted->SetImportVolume( imac.GetData(), 0,0, mitk::Image::CopyMemory ); } // mitk::Image::Pointer registeredWeighted = splittedImage->Clone(); // this time start at 0, we have only gradient images in the 3d+t file // the reference image comes form an other image mitk::ImageTimeSelector::Pointer t_selector_w = mitk::ImageTimeSelector::New(); t_selector_w->SetInput( splittedImage ); // store the rotation parts of the transformations in a vector typedef RegistrationMethod::TransformMatrixType MatrixType; std::vector< MatrixType > estimated_transforms; for( unsigned int i=0; iSetTimeNr(i); t_selector_w->Update(); weightedRegistrationMethod->SetMovingImage( t_selector_w->GetOutput() ); try { MITK_INFO << " === (" << i+1 <<"/"<< maxImageIdx << ") :: Starting registration"; weightedRegistrationMethod->Update(); } catch( const itk::ExceptionObject& e) { m_IsInValidState = false; mitkThrow() << "Failed to register the b0 images, the PyramidRegistration threw an exception: \n" << e.what(); } // allow expansion mitk::ImageWriteAccessor imac(weightedRegistrationMethod->GetResampledMovingImage()); registeredWeighted->SetImportVolume( imac.GetData(), i+1, 0, mitk::Image::CopyMemory); estimated_transforms.push_back( weightedRegistrationMethod->GetLastRotationMatrix() ); } // // (4) Cast the resulting image back to an diffusion weighted image // mitk::DiffusionPropertyHelper::GradientDirectionsContainerType *gradients = static_cast( input->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer(); mitk::DiffusionPropertyHelper::GradientDirectionsContainerType::Pointer gradients_new = mitk::DiffusionPropertyHelper::GradientDirectionsContainerType::New(); mitk::DiffusionPropertyHelper::GradientDirectionType bzero_vector; bzero_vector.fill(0); // compose the direction vector // - no direction for the first image // - correct ordering of the directions based on the index list gradients_new->push_back( bzero_vector ); SplitFilterType::IndexListType index_list = split_filter->GetIndexList(); SplitFilterType::IndexListType::const_iterator lIter = index_list.begin(); while( lIter != index_list.end() ) { gradients_new->push_back( gradients->at( *lIter ) ); ++lIter; } - registeredWeighted->SetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( gradients_new.GetPointer() )); - registeredWeighted->SetProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( static_cast(input->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue() ) ); + registeredWeighted->GetPropertyList()->ReplaceProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( gradients_new.GetPointer() )); + registeredWeighted->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( static_cast(input->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue() ) ); // // (5) Adapt the gradient directions according to the estimated transforms // typedef mitk::DiffusionImageCorrectionFilter CorrectionFilterType; CorrectionFilterType::Pointer corrector = CorrectionFilterType::New(); mitk::Image::Pointer output = registeredWeighted; corrector->SetImage( output ); corrector->CorrectDirections( estimated_transforms ); // // (6) Pass the corrected image to the filters output port // m_CurrentStep += 1; this->GetOutput()->Initialize( output ); mitk::DiffusionPropertyHelper::CopyProperties(output, this->GetOutput(), true); this->GetOutput()->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( static_cast( output->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer() ) ); this->GetOutput()->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::MEASUREMENTFRAMEPROPERTYNAME.c_str(), mitk::MeasurementFrameProperty::New( static_cast( output->GetProperty(mitk::DiffusionPropertyHelper::MEASUREMENTFRAMEPROPERTYNAME.c_str()).GetPointer() )->GetMeasurementFrame() ) ); this->GetOutput()->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( static_cast(output->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue() ) ); mitk::DiffusionPropertyHelper propertyHelper( this->GetOutput() ); propertyHelper.InitializeImage(); this->GetOutput()->Modified(); } #endif // MITKDWIHEADMOTIONCORRECTIONFILTER_CPP diff --git a/Modules/DiffusionImaging/DiffusionCore/src/DicomImport/mitkDiffusionDICOMFileReader.cpp b/Modules/DiffusionImaging/DiffusionCore/src/DicomImport/mitkDiffusionDICOMFileReader.cpp index 8c6b25a9e0..410070c006 100644 --- a/Modules/DiffusionImaging/DiffusionCore/src/DicomImport/mitkDiffusionDICOMFileReader.cpp +++ b/Modules/DiffusionImaging/DiffusionCore/src/DicomImport/mitkDiffusionDICOMFileReader.cpp @@ -1,347 +1,347 @@ /*=================================================================== The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center, Division of Medical and Biological Informatics. All rights reserved. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See LICENSE.txt or http://www.mitk.org for details. ===================================================================*/ #include "mitkDiffusionDICOMFileReader.h" #include "mitkDiffusionDICOMFileReaderHelper.h" #include "mitkDiffusionHeaderSiemensDICOMFileReader.h" #include "mitkDiffusionHeaderSiemensMosaicDICOMFileReader.h" #include "mitkDiffusionHeaderGEDICOMFileReader.h" #include "mitkDiffusionHeaderPhilipsDICOMFileReader.h" #include #include #include "mitkStringProperty.h" #include static void PerformHeaderAnalysis( mitk::DiffusionHeaderDICOMFileReader::DICOMHeaderListType headers ) { unsigned int images = headers.size(); unsigned int unweighted_images = 0; unsigned int weighted_images = 0; mitk::DiffusionHeaderDICOMFileReader::DICOMHeaderListType::const_iterator c_iter = headers.begin(); while( c_iter != headers.end() ) { const mitk::DiffusionImageDICOMHeaderInformation h = *c_iter; if( h.baseline ) unweighted_images++; if( h.b_value > 0 ) weighted_images++; ++c_iter; } MITK_INFO << " :: Analyzed volumes " << images << "\n" << " :: \t"<< unweighted_images << " b = 0" << "\n" << " :: \t"<< weighted_images << " b > 0"; } mitk::DiffusionDICOMFileReader::DiffusionDICOMFileReader() { } mitk::DiffusionDICOMFileReader::~DiffusionDICOMFileReader() { } bool mitk::DiffusionDICOMFileReader ::LoadImages() { unsigned int numberOfOutputs = this->GetNumberOfOutputs(); bool success = true; for(unsigned int o = 0; o < numberOfOutputs; ++o) { success &= this->LoadSingleOutputImage( this->m_OutputHeaderContainer.at(o), this->InternalGetOutput(o), this->m_IsMosaicData.at(o) ); } return success; } bool mitk::DiffusionDICOMFileReader ::LoadSingleOutputImage( DiffusionHeaderDICOMFileReader::DICOMHeaderListType retrievedHeader, DICOMImageBlockDescriptor& block, bool is_mosaic) { // prepare data reading DiffusionDICOMFileReaderHelper helper; DiffusionDICOMFileReaderHelper::VolumeFileNamesContainer filenames; const DICOMImageFrameList& frames = block.GetImageFrameList(); int numberOfDWImages = block.GetIntProperty("timesteps", 1); int numberOfFramesPerDWImage = frames.size() / numberOfDWImages; assert( int( double((double) frames.size() / (double) numberOfDWImages)) == numberOfFramesPerDWImage ); for( int idx = 0; idx < numberOfDWImages; idx++ ) { std::vector< std::string > FileNamesPerVolume; auto timeStepStart = frames.begin() + idx * numberOfFramesPerDWImage; auto timeStepEnd = frames.begin() + (idx+1) * numberOfFramesPerDWImage; for (auto frameIter = timeStepStart; frameIter != timeStepEnd; ++frameIter) { FileNamesPerVolume.push_back( (*frameIter)->Filename ); } filenames.push_back( FileNamesPerVolume ); } // TODO : only prototyping to test loading of diffusion images // we need some solution for the different types mitk::Image::Pointer output_image = mitk::Image::New(); mitk::DiffusionPropertyHelper::GradientDirectionsContainerType::Pointer directions = mitk::DiffusionPropertyHelper::GradientDirectionsContainerType::New(); double max_bvalue = 0; for( int idx = 0; idx < numberOfDWImages; idx++ ) { DiffusionImageDICOMHeaderInformation header = retrievedHeader.at(idx); if( max_bvalue < header.b_value ) max_bvalue = header.b_value; } // normalize the retrieved gradient directions according to the set b-value (maximal one) for( int idx = 0; idx < numberOfDWImages; idx++ ) { DiffusionImageDICOMHeaderInformation header = retrievedHeader.at(idx); mitk::DiffusionPropertyHelper::GradientDirectionType grad = header.g_vector; grad.normalize(); grad *= sqrt( header.b_value / max_bvalue ); directions->push_back( grad ); } // initialize the output image - output_image->SetProperty( mitk::DiffusionPropertyHelper::ORIGINALGRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( directions ) ); - output_image->SetProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( max_bvalue ) ); + output_image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::ORIGINALGRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( directions ) ); + output_image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( max_bvalue ) ); if( is_mosaic && this->m_ResolveMosaic ) { mitk::DiffusionHeaderSiemensMosaicDICOMFileReader::Pointer mosaic_reader = mitk::DiffusionHeaderSiemensMosaicDICOMFileReader::New(); // retrieve the remaining meta-information needed for mosaic reconstruction // it suffices to get it exemplatory from the first file in the file list mosaic_reader->RetrieveMosaicInformation( filenames.at(0).at(0) ); mitk::MosaicDescriptor mdesc = mosaic_reader->GetMosaicDescriptor(); mitk::CastToMitkImage( helper.LoadMosaicToVector( filenames, mdesc ), output_image ); } else { mitk::CastToMitkImage( helper.LoadToVector( filenames ), output_image ); } mitk::DiffusionPropertyHelper propertyHelper( output_image ); propertyHelper.InitializeImage(); output_image->SetProperty("diffusion.dicom.importname", mitk::StringProperty::New( helper.GetOutputName(filenames) ) ); block.SetMitkImage( (mitk::Image::Pointer) output_image ); return block.GetMitkImage().IsNotNull(); } void mitk::DiffusionDICOMFileReader ::AnalyzeInputFiles() { this->SetGroup3DandT(true); Superclass::AnalyzeInputFiles(); // collect output from superclass size_t number_of_outputs = this->GetNumberOfOutputs(); if(number_of_outputs == 0) { MITK_ERROR << "Failed to parse input, retrieved 0 outputs from SeriesGDCMReader "; } MITK_INFO("diffusion.dicomreader") << "Retrieved " << number_of_outputs << " outputs."; std::vector< bool > valid_input_list; for( unsigned int outputidx = 0; outputidx < this->GetNumberOfOutputs(); outputidx++ ) { DICOMImageBlockDescriptor block_0 = this->GetOutput(outputidx); // collect vendor ID from the first output, first image StringList inputFilename; DICOMImageFrameInfo::Pointer frame_0 = block_0.GetImageFrameList().at(0); inputFilename.push_back( frame_0->Filename ); mitk::DiffusionHeaderDICOMFileReader::Pointer headerReader; bool isMosaic = false; gdcm::Scanner gdcmScanner; gdcm::Tag t_vendor(0x008, 0x0070); gdcm::Tag t_imagetype(0x008, 0x008); // add DICOM Tag for vendor gdcmScanner.AddTag( t_vendor ); // add DICOM Tag for image type gdcmScanner.AddTag( t_imagetype ); if( gdcmScanner.Scan( inputFilename ) ) { // retrieve both vendor and image type const char* ch_vendor = gdcmScanner.GetValue( frame_0->Filename.c_str(), t_vendor ); const char* ch_image_type = gdcmScanner.GetValue( frame_0->Filename.c_str(), t_imagetype ); if( ch_vendor == nullptr || ch_image_type == nullptr ) { MITK_WARN << "Unable to retrieve vendor/image information from " << frame_0->Filename.c_str() << "\n" << "Output " << outputidx+1 << " is not valid, skipping analysis."; valid_input_list.push_back(false); continue; } std::string vendor = std::string( ch_vendor ); std::string image_type = std::string( ch_image_type ); MITK_INFO("diffusion.dicomreader") << "Output " << outputidx+1 << " Got vendor: " << vendor << " image type " << image_type; // parse vendor tag if( vendor.find("SIEMENS") != std::string::npos ) //&& image_type.find("DIFFUSION") != std::string::npos ) { if( image_type.find("MOSAIC") != std::string::npos ) { headerReader = mitk::DiffusionHeaderSiemensMosaicDICOMFileReader::New(); isMosaic = true; } else { headerReader = mitk::DiffusionHeaderSiemensDICOMFileReader::New(); } } else if( vendor.find("GE") != std::string::npos ) { headerReader = mitk::DiffusionHeaderGEDICOMFileReader::New(); } else if( vendor.find("Philips") != std::string::npos ) { headerReader = mitk::DiffusionHeaderPhilipsDICOMFileReader::New(); } else { // unknown vendor } if( headerReader.IsNull() ) { MITK_ERROR << "No header reader for given vendor. "; valid_input_list.push_back(false); continue; } } else { valid_input_list.push_back(false); continue; } bool canread = false; // iterate over the threeD+t block int numberOfTimesteps = block_0.GetIntProperty("timesteps", 1); int framesPerTimestep = block_0.GetImageFrameList().size() / numberOfTimesteps; for( int idx = 0; idx < numberOfTimesteps; idx++ ) { int access_idx = idx * framesPerTimestep; DICOMImageFrameInfo::Pointer frame = this->GetOutput( outputidx ).GetImageFrameList().at( access_idx ); canread = headerReader->ReadDiffusionHeader( frame->Filename ); } if( canread ) { // collect the information mitk::DiffusionHeaderDICOMFileReader::DICOMHeaderListType retrievedHeader = headerReader->GetHeaderInformation(); m_IsMosaicData.push_back(isMosaic); m_OutputHeaderContainer.push_back( retrievedHeader ); m_OutputReaderContainer.push_back( headerReader ); valid_input_list.push_back(true); } } // check status of the outputs and remove the non-valid std::vector< DICOMImageBlockDescriptor > valid_outputs; for ( unsigned int outputidx = 0; outputidx < this->GetNumberOfOutputs(); ++outputidx ) { if( valid_input_list.at(outputidx) ) { valid_outputs.push_back( this->InternalGetOutput( outputidx ) ); } } // clear complete list this->ClearOutputs(); this->SetNumberOfOutputs( valid_outputs.size() ); // insert only the valid ones for ( unsigned int outputidx = 0; valid_outputs.size(); ++outputidx ) { this->SetOutput( outputidx, valid_outputs.at( outputidx ) ); } for( unsigned int outputidx = 0; outputidx < this->GetNumberOfOutputs(); outputidx++ ) { // TODO : Analyze outputs + header information, i.e. for the loading confidence MITK_INFO("diffusion.dicomreader") << "---- DICOM Analysis Report ---- :: Output " << outputidx+1 << " of " << this->GetNumberOfOutputs(); try{ PerformHeaderAnalysis( this->m_OutputHeaderContainer.at( outputidx) ); } catch( const std::exception& se) { MITK_ERROR << "STD Exception " << se.what(); } MITK_INFO("diffusion.dicomreader") << "==========================================="; } } bool mitk::DiffusionDICOMFileReader ::CanHandleFile(const std::string & /* filename */) { //FIXME : return true; } diff --git a/Modules/DiffusionImaging/DiffusionCore/src/IODataStructures/DiffusionWeightedImages/mitkDiffusionImageCorrectionFilter.cpp b/Modules/DiffusionImaging/DiffusionCore/src/IODataStructures/DiffusionWeightedImages/mitkDiffusionImageCorrectionFilter.cpp index e876e0d632..7b0f9cc7ab 100644 --- a/Modules/DiffusionImaging/DiffusionCore/src/IODataStructures/DiffusionWeightedImages/mitkDiffusionImageCorrectionFilter.cpp +++ b/Modules/DiffusionImaging/DiffusionCore/src/IODataStructures/DiffusionWeightedImages/mitkDiffusionImageCorrectionFilter.cpp @@ -1,117 +1,117 @@ /*=================================================================== The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center, Division of Medical and Biological Informatics. All rights reserved. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See LICENSE.txt or http://www.mitk.org for details. ===================================================================*/ #ifndef MITKDIFFUSIONIMAGECORRECTIONFILTER_CPP #define MITKDIFFUSIONIMAGECORRECTIONFILTER_CPP #include "mitkDiffusionImageCorrectionFilter.h" #include #include #include mitk::DiffusionImageCorrectionFilter::DiffusionImageCorrectionFilter() { } mitk::DiffusionImageCorrectionFilter::TransformMatrixType mitk::DiffusionImageCorrectionFilter ::GetRotationComponent(const TransformMatrixType &A) { TransformMatrixType B; B = A * A.transpose(); // get the eigenvalues and eigenvectors typedef double MType; vnl_vector< MType > eigvals; vnl_matrix< MType > eigvecs; vnl_symmetric_eigensystem_compute< MType > ( B, eigvecs, eigvals ); vnl_matrix_fixed< MType, 3, 3 > eigvecs_fixed; eigvecs_fixed.set_columns(0, eigvecs ); TransformMatrixType C; C.set_identity(); vnl_vector_fixed< MType, 3 > eigvals_sqrt; for(unsigned int i=0; i<3; i++) { C(i,i) = std::sqrt( eigvals[i] ); } TransformMatrixType S = vnl_inverse( eigvecs_fixed * C * vnl_inverse( eigvecs_fixed )) * A; return S; } void mitk::DiffusionImageCorrectionFilter ::CorrectDirections( const TransformsVectorType& transformations) { if( m_SourceImage.IsNull() ) { mitkThrow() << " No diffusion image given! "; } GradientDirectionContainerPointerType directions = static_cast( m_SourceImage->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer(); GradientDirectionContainerPointerType corrected_directions = GradientDirectionContainerType::New(); unsigned int transformed = 0; for(size_t i=0; i< directions->Size(); i++ ) { // skip b-zero images if( directions->ElementAt(i).one_norm() <= 0.0 ) { corrected_directions->push_back( directions->ElementAt(i) ); continue; } GradientDirectionType corrected = GetRotationComponent( transformations.at(transformed)) * directions->ElementAt(i); // store the corrected direction corrected_directions->push_back( corrected ); transformed++; } // replace the old directions with the corrected ones - m_SourceImage->SetProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( corrected_directions ) ); + m_SourceImage->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( corrected_directions ) ); } void mitk::DiffusionImageCorrectionFilter ::CorrectDirections( const TransformMatrixType& transformation) { if( m_SourceImage.IsNull() ) { mitkThrow() << " No diffusion image given! "; } TransformsVectorType transfVec; for (unsigned int i=0; i< static_cast( m_SourceImage->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer()->Size();i++) { transfVec.push_back(transformation); } this->CorrectDirections(transfVec); } #endif diff --git a/Modules/DiffusionImaging/DiffusionCore/src/IODataStructures/DiffusionWeightedImages/mitkDiffusionImageCreationFilter.cpp b/Modules/DiffusionImaging/DiffusionCore/src/IODataStructures/DiffusionWeightedImages/mitkDiffusionImageCreationFilter.cpp index ce2f1160ef..b215b97821 100644 --- a/Modules/DiffusionImaging/DiffusionCore/src/IODataStructures/DiffusionWeightedImages/mitkDiffusionImageCreationFilter.cpp +++ b/Modules/DiffusionImaging/DiffusionCore/src/IODataStructures/DiffusionWeightedImages/mitkDiffusionImageCreationFilter.cpp @@ -1,221 +1,221 @@ /*=================================================================== The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center, Division of Medical and Biological Informatics. All rights reserved. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See LICENSE.txt or http://www.mitk.org for details. ===================================================================*/ #include "mitkDiffusionImageCreationFilter.h" #include "mitkProperties.h" #include "mitkImageTimeSelector.h" #include "mitkImageCast.h" #include "mitkImageToItk.h" #include "mitkImageAccessByItk.h" #include "mitkITKImageImport.h" #include "mitkIOUtil.h" #include #include /** * @brief RemapIntoVectorImage Take a 3d+t image and reinterpret it as vector image * @return vectoriamge */ mitk::DiffusionImageCreationFilter::VectorImageType::Pointer mitk::DiffusionImageCreationFilter::RemapIntoVectorImage( mitk::Image::Pointer input) { typedef itk::Image ImageVolumeType; typedef itk::ComposeImageFilter< ImageVolumeType > ComposeFilterType; ComposeFilterType::Pointer vec_composer = ComposeFilterType::New(); mitk::ImageTimeSelector::Pointer t_selector = mitk::ImageTimeSelector::New(); t_selector->SetInput( input ); for( unsigned int i=0; i< input->GetTimeSteps(); i++) { t_selector->SetTimeNr(i); t_selector->Update(); ImageVolumeType::Pointer singleImageItk; mitk::CastToItkImage( t_selector->GetOutput(), singleImageItk ); vec_composer->SetInput( i, singleImageItk ); } try { vec_composer->Update(); } catch( const itk::ExceptionObject& e) { MITK_ERROR << "Caught exception while updating compose filter: " << e.what(); } mitk::DiffusionImageCreationFilter::VectorImageType::Pointer vector_image = vec_composer->GetOutput(); vector_image->GetPixelContainer()->ContainerManageMemoryOff(); return vector_image; } mitk::DiffusionImageCreationFilter::DiffusionImageCreationFilter() : m_ReferenceImage( nullptr ) { m_HeaderDescriptorSet = false; this->SetNumberOfRequiredInputs(1); this->SetNumberOfRequiredOutputs(1); } mitk::DiffusionImageCreationFilter::~DiffusionImageCreationFilter() { } void mitk::DiffusionImageCreationFilter::SetReferenceImage( mitk::Image::Pointer reference_image ) { if( reference_image.IsNull() ) { mitkThrow() << "Null-pointer image provided as reference. "; } if( ! DPH::IsDiffusionWeightedImage(reference_image) ) { mitkThrow() << "The image provided as reference is not a diffusion-weighted image. Cannot proceed. "; } this->m_ReferenceImage = reference_image; } void mitk::DiffusionImageCreationFilter::GenerateData() { const mitk::Image::Pointer input_image = this->GetInput(0); if( input_image.IsNull() ) { mitkThrow() << "No input specified. Cannot proceed "; } if( !( m_HeaderDescriptorSet ^ m_ReferenceImage.IsNotNull() ) ) { mitkThrow() << "Either a header descriptor or a reference diffusion-weighted image have to be provided. Terminating."; } mitk::Image::Pointer outputForCache = this->GetOutput(); if( input_image->GetTimeSteps() > 1 ) { mitk::Image::Pointer mitkvectorimage = mitk::GrabItkImageMemory( RemapIntoVectorImage( input_image )); outputForCache->Initialize( mitkvectorimage ); } // no need to remap, we expect to have a vector image directly else { outputForCache->Initialize( input_image ); } // header information GradientDirectionContainerType::Pointer DiffusionVectors = this->InternalGetGradientDirections( ); MeasurementFrameType MeasurementFrame = this->InternalGetMeasurementFrame(); float BValue = this->InternalGetBValue(); // create BValueMap mitk::BValueMapProperty::BValueMap BValueMap = mitk::BValueMapProperty::CreateBValueMap( DiffusionVectors, BValue ); - outputForCache->SetProperty( DPH::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( DiffusionVectors ) ); - outputForCache->SetProperty( DPH::MEASUREMENTFRAMEPROPERTYNAME.c_str(), mitk::MeasurementFrameProperty::New( MeasurementFrame ) ); - outputForCache->SetProperty( DPH::BVALUEMAPPROPERTYNAME.c_str(), mitk::BValueMapProperty::New( BValueMap ) ); - outputForCache->SetProperty( DPH::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( BValue ) ); + outputForCache->GetPropertyList()->ReplaceProperty( DPH::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( DiffusionVectors ) ); + outputForCache->GetPropertyList()->ReplaceProperty( DPH::MEASUREMENTFRAMEPROPERTYNAME.c_str(), mitk::MeasurementFrameProperty::New( MeasurementFrame ) ); + outputForCache->GetPropertyList()->ReplaceProperty( DPH::BVALUEMAPPROPERTYNAME.c_str(), mitk::BValueMapProperty::New( BValueMap ) ); + outputForCache->GetPropertyList()->ReplaceProperty( DPH::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( BValue ) ); outputForCache->Modified(); } void mitk::DiffusionImageCreationFilter::SetHeaderDescriptor(DiffusionImageHeaderDescriptor header_descriptor) { this->m_HeaderDescriptor = header_descriptor; this->m_HeaderDescriptorSet = true; } mitk::DiffusionImageCreationFilter::MeasurementFrameType mitk::DiffusionImageCreationFilter::InternalGetMeasurementFrame() { MeasurementFrameType MeasurementFrame; if( m_ReferenceImage.IsNotNull() ) { MeasurementFrame = DPH::GetMeasurementFrame( m_ReferenceImage ); } else if ( m_HeaderDescriptorSet ) { MeasurementFrame = m_HeaderDescriptor.m_MeasurementFrame; } else { MeasurementFrame(0,0) = 1; MeasurementFrame(0,1) = 0; MeasurementFrame(0,2) = 0; MeasurementFrame(1,0) = 0; MeasurementFrame(1,1) = 1; MeasurementFrame(1,2) = 0; MeasurementFrame(2,0) = 0; MeasurementFrame(2,1) = 0; MeasurementFrame(2,2) = 1; MITK_WARN << "Created default measurement frame as non provided ( no reference image or header information provided)"; } return MeasurementFrame; } mitk::DiffusionImageCreationFilter::GradientDirectionContainerType::Pointer mitk::DiffusionImageCreationFilter::InternalGetGradientDirections() { GradientDirectionContainerType::Pointer DiffusionVectors = GradientDirectionContainerType::New(); if( this->m_ReferenceImage ) { DiffusionVectors = DPH::GetGradientContainer( this->m_ReferenceImage ); } else if ( m_HeaderDescriptorSet ) { DiffusionVectors = m_HeaderDescriptor.m_GradientDirections; } return DiffusionVectors; } float mitk::DiffusionImageCreationFilter::InternalGetBValue() { float bvalue = -1; if( m_ReferenceImage.IsNotNull() ) { bvalue = DPH::GetReferenceBValue( m_ReferenceImage ); } else if ( m_HeaderDescriptorSet ) { bvalue = m_HeaderDescriptor.m_BValue; } else { MITK_ERROR << "No reference image and no header descriptor provided."; } return bvalue; } diff --git a/Modules/DiffusionImaging/DiffusionCore/src/IODataStructures/Properties/mitkDiffusionPropertyHelper.cpp b/Modules/DiffusionImaging/DiffusionCore/src/IODataStructures/Properties/mitkDiffusionPropertyHelper.cpp index 20f45ad109..c64608bbeb 100644 --- a/Modules/DiffusionImaging/DiffusionCore/src/IODataStructures/Properties/mitkDiffusionPropertyHelper.cpp +++ b/Modules/DiffusionImaging/DiffusionCore/src/IODataStructures/Properties/mitkDiffusionPropertyHelper.cpp @@ -1,568 +1,568 @@ /*=================================================================== The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center, Division of Medical and Biological Informatics. All rights reserved. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See LICENSE.txt or http://www.mitk.org for details. ===================================================================*/ #include "mitkDiffusionPropertyHelper.h" #include #include #include #include #include const std::string mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME = "DWMRI.GradientDirections"; const std::string mitk::DiffusionPropertyHelper::ORIGINALGRADIENTCONTAINERPROPERTYNAME = "DWMRI.OriginalGradientDirections"; const std::string mitk::DiffusionPropertyHelper::MEASUREMENTFRAMEPROPERTYNAME = "DWMRI.MeasurementFrame"; const std::string mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME = "DWMRI.ReferenceBValue"; const std::string mitk::DiffusionPropertyHelper::BVALUEMAPPROPERTYNAME = "DWMRI.BValueMap"; const std::string mitk::DiffusionPropertyHelper::MODALITY = "DWMRI.Modality"; const std::string mitk::DiffusionPropertyHelper::KEEP_ORIGINAL_DIRECTIONS = "DWMRI.KeepOriginalDirections"; mitk::DiffusionPropertyHelper::DiffusionPropertyHelper() { } mitk::DiffusionPropertyHelper::DiffusionPropertyHelper( mitk::Image* inputImage) : m_Image( inputImage ) { // Update props } mitk::DiffusionPropertyHelper::~DiffusionPropertyHelper() { } mitk::DiffusionPropertyHelper::ImageType::Pointer mitk::DiffusionPropertyHelper::GetItkVectorImage(mitk::Image* image) { ImageType::Pointer vectorImage = ImageType::New(); mitk::CastToItkImage(image, vectorImage); return vectorImage; } mitk::DiffusionPropertyHelper::GradientDirectionsContainerType::Pointer mitk::DiffusionPropertyHelper::CalcAveragedDirectionSet(double precision, GradientDirectionsContainerType::Pointer directions) { // save old and construct new direction container GradientDirectionsContainerType::Pointer newDirections = GradientDirectionsContainerType::New(); // fill new direction container for(GradientDirectionsContainerType::ConstIterator gdcitOld = directions->Begin(); gdcitOld != directions->End(); ++gdcitOld) { // already exists? bool found = false; for(GradientDirectionsContainerType::ConstIterator gdcitNew = newDirections->Begin(); gdcitNew != newDirections->End(); ++gdcitNew) { if(AreAlike(gdcitNew.Value(), gdcitOld.Value(), precision)) { found = true; break; } } // if not found, add it to new container if(!found) { newDirections->push_back(gdcitOld.Value()); } } return newDirections; } void mitk::DiffusionPropertyHelper::AverageRedundantGradients(double precision) { mitk::GradientDirectionsProperty* DirectionsProperty = static_cast( m_Image->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() ); GradientDirectionsContainerType::Pointer oldDirs = DirectionsProperty->GetGradientDirectionsContainer(); GradientDirectionsContainerType::Pointer newDirs = CalcAveragedDirectionSet(precision, oldDirs); // if sizes equal, we do not need to do anything in this function if(oldDirs->size() == newDirs->size()) return; // new image ImageType::Pointer oldImage = ImageType::New(); mitk::CastToItkImage( m_Image, oldImage); ImageType::Pointer newITKImage = ImageType::New(); newITKImage->SetSpacing( oldImage->GetSpacing() ); // Set the image spacing newITKImage->SetOrigin( oldImage->GetOrigin() ); // Set the image origin newITKImage->SetDirection( oldImage->GetDirection() ); // Set the image direction newITKImage->SetLargestPossibleRegion( oldImage->GetLargestPossibleRegion() ); newITKImage->SetVectorLength( newDirs->size() ); newITKImage->SetBufferedRegion( oldImage->GetLargestPossibleRegion() ); newITKImage->Allocate(); // average image data that corresponds to identical directions itk::ImageRegionIterator< ImageType > newIt(newITKImage, newITKImage->GetLargestPossibleRegion()); newIt.GoToBegin(); itk::ImageRegionIterator< ImageType > oldIt(oldImage, oldImage->GetLargestPossibleRegion()); oldIt.GoToBegin(); // initial new value of voxel ImageType::PixelType newVec; newVec.SetSize(newDirs->size()); newVec.AllocateElements(newDirs->size()); // find which gradients should be averaged GradientDirectionsContainerType::Pointer oldDirections = oldDirs; std::vector > dirIndices; for(GradientDirectionsContainerType::ConstIterator gdcitNew = newDirs->Begin(); gdcitNew != newDirs->End(); ++gdcitNew) { dirIndices.push_back(std::vector(0)); for(GradientDirectionsContainerType::ConstIterator gdcitOld = oldDirs->Begin(); gdcitOld != oldDirections->End(); ++gdcitOld) { if(AreAlike(gdcitNew.Value(), gdcitOld.Value(), precision)) { //MITK_INFO << gdcitNew.Value() << " " << gdcitOld.Value(); dirIndices[gdcitNew.Index()].push_back(gdcitOld.Index()); } } } //int ind1 = -1; while(!newIt.IsAtEnd()) { // progress //typename ImageType::IndexType ind = newIt.GetIndex(); //ind1 = ind.m_Index[2]; // init new vector with zeros newVec.Fill(0.0); // the old voxel value with duplicates ImageType::PixelType oldVec = oldIt.Get(); for(unsigned int i=0; iSetProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( newDirs ) ); - m_Image->SetProperty( mitk::DiffusionPropertyHelper::ORIGINALGRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( newDirs ) ); + m_Image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( newDirs ) ); + m_Image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::ORIGINALGRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( newDirs ) ); ApplyMeasurementFrameAndRotationMatrix(); UpdateBValueMap(); std::cout << std::endl; } void mitk::DiffusionPropertyHelper::ApplyMeasurementFrameAndRotationMatrix() { if( m_Image->GetProperty(mitk::DiffusionPropertyHelper::ORIGINALGRADIENTCONTAINERPROPERTYNAME.c_str()).IsNull() ) { return; } GradientDirectionsContainerType::Pointer originalDirections = static_cast( m_Image->GetProperty(mitk::DiffusionPropertyHelper::ORIGINALGRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer())->GetGradientDirectionsContainer(); MeasurementFrameType measurementFrame = GetMeasurementFrame(m_Image); mitk::Vector3D s = m_Image->GetGeometry()->GetSpacing(); mitk::VnlVector c0 = m_Image->GetGeometry()->GetMatrixColumn(0)/s[0]; mitk::VnlVector c1 = m_Image->GetGeometry()->GetMatrixColumn(1)/s[1]; mitk::VnlVector c2 = m_Image->GetGeometry()->GetMatrixColumn(2)/s[2]; MeasurementFrameType imageRotationMatrix; imageRotationMatrix[0][0] = c0[0]; imageRotationMatrix[1][0] = c0[1]; imageRotationMatrix[2][0] = c0[2]; imageRotationMatrix[0][1] = c1[0]; imageRotationMatrix[1][1] = c1[1]; imageRotationMatrix[2][1] = c1[2]; imageRotationMatrix[0][2] = c2[0]; imageRotationMatrix[1][2] = c2[1]; imageRotationMatrix[2][2] = c2[2]; GradientDirectionsContainerType::Pointer directions = GradientDirectionsContainerType::New(); if( originalDirections.IsNull() || ( originalDirections->size() == 0 ) ) { // original direction container was not set return; } bool keep_originals = false; m_Image->GetPropertyList()->GetBoolProperty(mitk::DiffusionPropertyHelper::KEEP_ORIGINAL_DIRECTIONS.c_str(), keep_originals); if (!keep_originals) { MITK_INFO << "Applying measurement frame to diffusion-gradient directions:"; std::cout << measurementFrame << std::endl; MITK_INFO << "Applying image totation to diffusion-gradient directions:"; std::cout << imageRotationMatrix << std::endl; } int c = 0; for(GradientDirectionsContainerType::ConstIterator gdcit = originalDirections->Begin(); gdcit != originalDirections->End(); ++gdcit) { vnl_vector vec = gdcit.Value(); if (!keep_originals) { vec = vec.pre_multiply(measurementFrame); vec = vec.pre_multiply(imageRotationMatrix); } directions->InsertElement(c, vec); c++; } - m_Image->SetProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( directions ) ); + m_Image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( directions ) ); } void mitk::DiffusionPropertyHelper::UnApplyMeasurementFrameAndRotationMatrix() { if( m_Image->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).IsNull() ) { return; } GradientDirectionsContainerType::Pointer modifiedDirections = static_cast( m_Image->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer())->GetGradientDirectionsContainer(); MeasurementFrameType measurementFrame = GetMeasurementFrame(m_Image); measurementFrame = vnl_matrix_inverse(measurementFrame).pinverse(); mitk::Vector3D s = m_Image->GetGeometry()->GetSpacing(); mitk::VnlVector c0 = m_Image->GetGeometry()->GetMatrixColumn(0)/s[0]; mitk::VnlVector c1 = m_Image->GetGeometry()->GetMatrixColumn(1)/s[1]; mitk::VnlVector c2 = m_Image->GetGeometry()->GetMatrixColumn(2)/s[2]; MeasurementFrameType imageRotationMatrix; imageRotationMatrix[0][0] = c0[0]; imageRotationMatrix[1][0] = c0[1]; imageRotationMatrix[2][0] = c0[2]; imageRotationMatrix[0][1] = c1[0]; imageRotationMatrix[1][1] = c1[1]; imageRotationMatrix[2][1] = c1[2]; imageRotationMatrix[0][2] = c2[0]; imageRotationMatrix[1][2] = c2[1]; imageRotationMatrix[2][2] = c2[2]; imageRotationMatrix = vnl_matrix_inverse(imageRotationMatrix).pinverse(); GradientDirectionsContainerType::Pointer directions = GradientDirectionsContainerType::New(); if( modifiedDirections.IsNull() || ( modifiedDirections->size() == 0 ) ) { // original direction container was not set return; } bool keep_originals = false; m_Image->GetPropertyList()->GetBoolProperty(mitk::DiffusionPropertyHelper::KEEP_ORIGINAL_DIRECTIONS.c_str(), keep_originals); if (!keep_originals) { MITK_INFO << "Reverting image totation to diffusion-gradient directions:"; std::cout << imageRotationMatrix << std::endl; MITK_INFO << "Reverting measurement frame to diffusion-gradient directions:"; std::cout << measurementFrame << std::endl; } int c = 0; for(GradientDirectionsContainerType::ConstIterator gdcit = modifiedDirections->Begin(); gdcit != modifiedDirections->End(); ++gdcit) { vnl_vector vec = gdcit.Value(); if (!keep_originals) { vec = vec.pre_multiply(imageRotationMatrix); vec = vec.pre_multiply(measurementFrame); } directions->InsertElement(c, vec); c++; } - m_Image->SetProperty( mitk::DiffusionPropertyHelper::ORIGINALGRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( directions ) ); + m_Image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::ORIGINALGRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( directions ) ); } void mitk::DiffusionPropertyHelper::ClearMeasurementFrameAndRotationMatrixFromGradients(mitk::Image* image) { if( image->GetProperty(mitk::DiffusionPropertyHelper::ORIGINALGRADIENTCONTAINERPROPERTYNAME.c_str()).IsNull() ) { return; } GradientDirectionsContainerType::Pointer originalDirections = static_cast( image->GetProperty(mitk::DiffusionPropertyHelper::ORIGINALGRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer())->GetGradientDirectionsContainer(); GradientDirectionsContainerType::Pointer directions = GradientDirectionsContainerType::New(); if( originalDirections.IsNull() || ( originalDirections->size() == 0 ) ) { // original direction container was not set return; } int c = 0; for(GradientDirectionsContainerType::ConstIterator gdcit = originalDirections->Begin(); gdcit != originalDirections->End(); ++gdcit) { vnl_vector vec = gdcit.Value(); directions->InsertElement(c, vec); c++; } image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::KEEP_ORIGINAL_DIRECTIONS.c_str(), mitk::BoolProperty::New(true) ); image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( directions ) ); } void mitk::DiffusionPropertyHelper::UpdateBValueMap() { BValueMapType b_ValueMap; if(m_Image->GetProperty(mitk::DiffusionPropertyHelper::BVALUEMAPPROPERTYNAME.c_str()).IsNull()) { } else { b_ValueMap = static_cast(m_Image->GetProperty(mitk::DiffusionPropertyHelper::BVALUEMAPPROPERTYNAME.c_str()).GetPointer() )->GetBValueMap(); } if(!b_ValueMap.empty()) { b_ValueMap.clear(); } if( m_Image->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).IsNotNull() ) { GradientDirectionsContainerType::Pointer directions = static_cast( m_Image->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer(); GradientDirectionsContainerType::ConstIterator gdcit; for( gdcit = directions->Begin(); gdcit != directions->End(); ++gdcit) { b_ValueMap[GetB_Value(gdcit.Index())].push_back(gdcit.Index()); } } - m_Image->SetProperty( mitk::DiffusionPropertyHelper::BVALUEMAPPROPERTYNAME.c_str(), mitk::BValueMapProperty::New( b_ValueMap ) ); + m_Image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::BVALUEMAPPROPERTYNAME.c_str(), mitk::BValueMapProperty::New( b_ValueMap ) ); } bool mitk::DiffusionPropertyHelper::AreAlike(GradientDirectionType g1, GradientDirectionType g2, double precision) { GradientDirectionType diff = g1 - g2; GradientDirectionType diff2 = g1 + g2; return diff.two_norm() < precision || diff2.two_norm() < precision; } float mitk::DiffusionPropertyHelper::GetB_Value(unsigned int i) { GradientDirectionsContainerType::Pointer directions = static_cast( m_Image->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer(); float b_value = static_cast(m_Image->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue(); if(i > directions->Size()-1) return -1; if(directions->ElementAt(i).one_norm() <= 0.0) { return 0; } else { double twonorm = directions->ElementAt(i).two_norm(); double bval = b_value*twonorm*twonorm; if (bval<0) bval = ceil(bval - 0.5); else bval = floor(bval + 0.5); return bval; } } void mitk::DiffusionPropertyHelper::CopyProperties(mitk::Image* source, mitk::Image* target, bool ignore_original_gradients) { mitk::PropertyList::Pointer props = source->GetPropertyList()->Clone(); if (ignore_original_gradients) props->RemoveProperty(mitk::DiffusionPropertyHelper::ORIGINALGRADIENTCONTAINERPROPERTYNAME); target->SetPropertyList(props); } void mitk::DiffusionPropertyHelper::InitializeImage() { if ( m_Image->GetProperty(mitk::DiffusionPropertyHelper::KEEP_ORIGINAL_DIRECTIONS.c_str()).IsNull() ) m_Image->SetProperty( mitk::DiffusionPropertyHelper::KEEP_ORIGINAL_DIRECTIONS.c_str(), mitk::BoolProperty::New(false) ); if( m_Image->GetProperty(mitk::DiffusionPropertyHelper::ORIGINALGRADIENTCONTAINERPROPERTYNAME.c_str()).IsNull() ) { // we don't have the original gradient directions. Therefore use the modified directions and roatate them back. this->UnApplyMeasurementFrameAndRotationMatrix(); } else this->ApplyMeasurementFrameAndRotationMatrix(); this->UpdateBValueMap(); // initialize missing properties mitk::MeasurementFrameProperty::Pointer mf = dynamic_cast( m_Image->GetProperty(MEASUREMENTFRAMEPROPERTYNAME.c_str()).GetPointer()); if( mf.IsNull() ) { //no measurement frame present, identity is assumed MeasurementFrameType identity; identity.set_identity(); - m_Image->SetProperty( mitk::DiffusionPropertyHelper::MEASUREMENTFRAMEPROPERTYNAME.c_str(), mitk::MeasurementFrameProperty::New( identity )); + m_Image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::MEASUREMENTFRAMEPROPERTYNAME.c_str(), mitk::MeasurementFrameProperty::New( identity )); } } bool mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage(const mitk::DataNode* node) { if ( node==nullptr ) return false; if ( node->GetData()==nullptr ) return false; return IsDiffusionWeightedImage(dynamic_cast(node->GetData())); } bool mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage(const mitk::Image * image) { bool isDiffusionWeightedImage( true ); if( image == nullptr ) { isDiffusionWeightedImage = false; } if( isDiffusionWeightedImage ) { mitk::FloatProperty::Pointer referenceBValue = dynamic_cast(image->GetProperty(REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer()); if( referenceBValue.IsNull() ) { isDiffusionWeightedImage = false; } } unsigned int gradientDirections( 0 ); if( isDiffusionWeightedImage ) { mitk::GradientDirectionsProperty::Pointer gradientDirectionsProperty = dynamic_cast(image->GetProperty(GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer()); if( gradientDirectionsProperty.IsNull() ) { isDiffusionWeightedImage = false; } else { gradientDirections = gradientDirectionsProperty->GetGradientDirectionsContainer()->size(); } } if( isDiffusionWeightedImage ) { unsigned int components = image->GetPixelType().GetNumberOfComponents(); if( components != gradientDirections ) { isDiffusionWeightedImage = false; } } return isDiffusionWeightedImage; } const mitk::DiffusionPropertyHelper::BValueMapType & mitk::DiffusionPropertyHelper::GetBValueMap(const mitk::Image *image) { return dynamic_cast(image->GetProperty(BVALUEMAPPROPERTYNAME.c_str()).GetPointer())->GetBValueMap(); } float mitk::DiffusionPropertyHelper::GetReferenceBValue(const mitk::Image *image) { return dynamic_cast(image->GetProperty(REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer())->GetValue(); } const mitk::DiffusionPropertyHelper::MeasurementFrameType & mitk::DiffusionPropertyHelper::GetMeasurementFrame(const mitk::Image *image) { mitk::MeasurementFrameProperty::Pointer mf = dynamic_cast( image->GetProperty(MEASUREMENTFRAMEPROPERTYNAME.c_str()).GetPointer()); if( mf.IsNull() ) { //no measurement frame present, identity is assumed MeasurementFrameType identity; identity.set_identity(); mf = mitk::MeasurementFrameProperty::New( identity ); } return mf->GetMeasurementFrame(); } mitk::DiffusionPropertyHelper::GradientDirectionsContainerType::Pointer mitk::DiffusionPropertyHelper::GetOriginalGradientContainer(const mitk::Image *image) { return dynamic_cast(image->GetProperty(ORIGINALGRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer())->GetGradientDirectionsContainer(); } mitk::DiffusionPropertyHelper::GradientDirectionsContainerType::Pointer mitk::DiffusionPropertyHelper::GetGradientContainer(const mitk::Image *image) { return dynamic_cast(image->GetProperty(GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer())->GetGradientDirectionsContainer(); } bool mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage() const { return IsDiffusionWeightedImage(m_Image); } const mitk::DiffusionPropertyHelper::BValueMapType &mitk::DiffusionPropertyHelper::GetBValueMap() const { return GetBValueMap(m_Image); } float mitk::DiffusionPropertyHelper::GetReferenceBValue() const { return GetReferenceBValue(m_Image); } const mitk::DiffusionPropertyHelper::MeasurementFrameType & mitk::DiffusionPropertyHelper::GetMeasurementFrame() const { return GetMeasurementFrame(m_Image); } mitk::DiffusionPropertyHelper::GradientDirectionsContainerType::Pointer mitk::DiffusionPropertyHelper::GetOriginalGradientContainer() const { return GetOriginalGradientContainer(m_Image); } mitk::DiffusionPropertyHelper::GradientDirectionsContainerType::Pointer mitk::DiffusionPropertyHelper::GetGradientContainer() const { return GetGradientContainer(m_Image); } diff --git a/Modules/DiffusionImaging/FiberTracking/Testing/mitkFiberfoxSignalGenerationTest.cpp b/Modules/DiffusionImaging/FiberTracking/Testing/mitkFiberfoxSignalGenerationTest.cpp index 6ab0f2dc20..a8f78de973 100644 --- a/Modules/DiffusionImaging/FiberTracking/Testing/mitkFiberfoxSignalGenerationTest.cpp +++ b/Modules/DiffusionImaging/FiberTracking/Testing/mitkFiberfoxSignalGenerationTest.cpp @@ -1,259 +1,259 @@ /*=================================================================== The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center, Division of Medical and Biological Informatics. All rights reserved. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See LICENSE.txt or http://www.mitk.org for details. ===================================================================*/ #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include "mitkTestFixture.h" class mitkFiberfoxSignalGenerationTestSuite : public mitk::TestFixture { CPPUNIT_TEST_SUITE(mitkFiberfoxSignalGenerationTestSuite); //MITK_TEST(Test0); //MITK_TEST(Test1); MITK_TEST(Test2); MITK_TEST(Test3); MITK_TEST(Test4); MITK_TEST(Test5); //MITK_TEST(Test6); MITK_TEST(Test7); MITK_TEST(Test8); CPPUNIT_TEST_SUITE_END(); typedef itk::VectorImage< short, 3> ItkDwiType; private: public: /** Members used inside the different (sub-)tests. All members are initialized via setUp().*/ FiberBundle::Pointer m_FiberBundle; std::vector< FiberfoxParameters > m_Parameters; std::vector< mitk::Image::Pointer > m_RefImages; void setUp() override { m_FiberBundle = dynamic_cast(mitk::IOUtil::Load(GetTestDataFilePath("DiffusionImaging/Fiberfox/Signalgen.fib"))[0].GetPointer()); { FiberfoxParameters parameters; parameters.LoadParameters(GetTestDataFilePath("DiffusionImaging/Fiberfox/params/param1.ffp")); m_Parameters.push_back(parameters); m_RefImages.push_back(dynamic_cast(mitk::IOUtil::Load(GetTestDataFilePath("DiffusionImaging/Fiberfox/params/param1.dwi"))[0].GetPointer())); } { FiberfoxParameters parameters; parameters.LoadParameters(GetTestDataFilePath("DiffusionImaging/Fiberfox/params/param2.ffp")); m_Parameters.push_back(parameters); m_RefImages.push_back(dynamic_cast(mitk::IOUtil::Load(GetTestDataFilePath("DiffusionImaging/Fiberfox/params/param2.dwi"))[0].GetPointer())); } { FiberfoxParameters parameters; parameters.LoadParameters(GetTestDataFilePath("DiffusionImaging/Fiberfox/params/param3.ffp")); m_Parameters.push_back(parameters); m_RefImages.push_back(dynamic_cast(mitk::IOUtil::Load(GetTestDataFilePath("DiffusionImaging/Fiberfox/params/param3.dwi"))[0].GetPointer())); } { FiberfoxParameters parameters; parameters.LoadParameters(GetTestDataFilePath("DiffusionImaging/Fiberfox/params/param4.ffp")); m_Parameters.push_back(parameters); m_RefImages.push_back(dynamic_cast(mitk::IOUtil::Load(GetTestDataFilePath("DiffusionImaging/Fiberfox/params/param4.dwi"))[0].GetPointer())); } { FiberfoxParameters parameters; parameters.LoadParameters(GetTestDataFilePath("DiffusionImaging/Fiberfox/params/param5.ffp")); m_Parameters.push_back(parameters); m_RefImages.push_back(dynamic_cast(mitk::IOUtil::Load(GetTestDataFilePath("DiffusionImaging/Fiberfox/params/param5.dwi"))[0].GetPointer())); } { FiberfoxParameters parameters; parameters.LoadParameters(GetTestDataFilePath("DiffusionImaging/Fiberfox/params/param6.ffp")); m_Parameters.push_back(parameters); m_RefImages.push_back(dynamic_cast(mitk::IOUtil::Load(GetTestDataFilePath("DiffusionImaging/Fiberfox/params/param6.dwi"))[0].GetPointer())); } { FiberfoxParameters parameters; parameters.LoadParameters(GetTestDataFilePath("DiffusionImaging/Fiberfox/params/param7.ffp")); m_Parameters.push_back(parameters); m_RefImages.push_back(dynamic_cast(mitk::IOUtil::Load(GetTestDataFilePath("DiffusionImaging/Fiberfox/params/param7.dwi"))[0].GetPointer())); } { FiberfoxParameters parameters; parameters.LoadParameters(GetTestDataFilePath("DiffusionImaging/Fiberfox/params/param8.ffp")); m_Parameters.push_back(parameters); m_RefImages.push_back(dynamic_cast(mitk::IOUtil::Load(GetTestDataFilePath("DiffusionImaging/Fiberfox/params/param8.dwi"))[0].GetPointer())); } { FiberfoxParameters parameters; parameters.LoadParameters(GetTestDataFilePath("DiffusionImaging/Fiberfox/params/param9.ffp")); m_Parameters.push_back(parameters); m_RefImages.push_back(dynamic_cast(mitk::IOUtil::Load(GetTestDataFilePath("DiffusionImaging/Fiberfox/params/param9.dwi"))[0].GetPointer())); } } void tearDown() override { } bool CompareDwi(itk::VectorImage< short, 3 >* dwi1, itk::VectorImage< short, 3 >* dwi2) { bool out = true; typedef itk::VectorImage< short, 3 > DwiImageType; try{ itk::ImageRegionIterator< DwiImageType > it1(dwi1, dwi1->GetLargestPossibleRegion()); itk::ImageRegionIterator< DwiImageType > it2(dwi2, dwi2->GetLargestPossibleRegion()); int count = 0; while(!it1.IsAtEnd()) { if (it1.Get()!=it2.Get()) { if (count<10) { MITK_INFO << "**************************************"; MITK_INFO << "Test value: " << it1.GetIndex() << ":" << it1.Get(); MITK_INFO << "Ref. value: " << it2.GetIndex() << ":" << it2.Get(); } out = false; count++; } ++it1; ++it2; } if (count>=10) MITK_INFO << "Skipping errors."; MITK_INFO << "Errors detected: " << count; } catch(...) { return false; } return out; } void StartSimulation(FiberfoxParameters parameters, mitk::Image::Pointer refImage, string out) { itk::TractsToDWIImageFilter< short >::Pointer tractsToDwiFilter = itk::TractsToDWIImageFilter< short >::New(); tractsToDwiFilter->SetUseConstantRandSeed(true); tractsToDwiFilter->SetParameters(parameters); tractsToDwiFilter->SetFiberBundle(m_FiberBundle); tractsToDwiFilter->Update(); mitk::Image::Pointer testImage = mitk::GrabItkImageMemory( tractsToDwiFilter->GetOutput() ); - testImage->SetProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( parameters.m_SignalGen.GetGradientDirections() ) ); + testImage->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( parameters.m_SignalGen.GetGradientDirections() ) ); testImage->SetProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( parameters.m_SignalGen.m_Bvalue ) ); mitk::DiffusionPropertyHelper propertyHelper( testImage ); propertyHelper.InitializeImage(); if (refImage.IsNotNull()) { if( static_cast( refImage->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer().IsNotNull() ) { ItkDwiType::Pointer itkTestImagePointer = ItkDwiType::New(); mitk::CastToItkImage(testImage, itkTestImagePointer); ItkDwiType::Pointer itkRefImagePointer = ItkDwiType::New(); mitk::CastToItkImage(refImage, itkRefImagePointer); bool cond = CompareDwi(itkTestImagePointer, itkRefImagePointer); if (!cond) { MITK_INFO << "Saving test image to " << mitk::IOUtil::GetTempPath(); mitk::IOUtil::Save(testImage, mitk::IOUtil::GetTempPath()+out); } CPPUNIT_ASSERT_MESSAGE("Simulated images should be equal", cond); } } } void Test0() { StartSimulation(m_Parameters.at(0), m_RefImages.at(0), "param1.dwi"); } void Test1() { StartSimulation(m_Parameters.at(1), m_RefImages.at(1), "param2.dwi"); } void Test2() { StartSimulation(m_Parameters.at(2), m_RefImages.at(2), "param3.dwi"); } void Test3() { StartSimulation(m_Parameters.at(3), m_RefImages.at(3), "param4.dwi"); } void Test4() { StartSimulation(m_Parameters.at(4), m_RefImages.at(4), "param5.dwi"); } void Test5() { StartSimulation(m_Parameters.at(5), m_RefImages.at(5), "param6.dwi"); } void Test6() { StartSimulation(m_Parameters.at(6), m_RefImages.at(6), "param7.dwi"); } void Test7() { StartSimulation(m_Parameters.at(7), m_RefImages.at(7), "param8.dwi"); } void Test8() { StartSimulation(m_Parameters.at(8), m_RefImages.at(8), "param9.dwi"); } }; MITK_TEST_SUITE_REGISTRATION(mitkFiberfoxSignalGeneration) diff --git a/Modules/DiffusionImaging/FiberTracking/cmdapps/Fiberfox/Fiberfox.cpp b/Modules/DiffusionImaging/FiberTracking/cmdapps/Fiberfox/Fiberfox.cpp index 644de8bf95..77d6388a9c 100755 --- a/Modules/DiffusionImaging/FiberTracking/cmdapps/Fiberfox/Fiberfox.cpp +++ b/Modules/DiffusionImaging/FiberTracking/cmdapps/Fiberfox/Fiberfox.cpp @@ -1,214 +1,214 @@ /*=================================================================== The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center, Division of Medical and Biological Informatics. All rights reserved. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See LICENSE.txt or http://www.mitk.org for details. ===================================================================*/ #include #include #include #include #include #include #include #include "mitkCommandLineParser.h" #include #include #include #include using namespace mitk; /*! * \brief Command line interface to Fiberfox. * Simulate a diffusion-weighted image from a tractogram using the specified parameter file. */ int main(int argc, char* argv[]) { mitkCommandLineParser parser; parser.setTitle("Fiberfox"); parser.setCategory("Diffusion Simulation Tools"); parser.setContributor("MIC"); parser.setDescription("Command line interface to Fiberfox." " Simulate a diffusion-weighted image from a tractogram using the specified parameter file."); parser.setArgumentPrefix("--", "-"); parser.addArgument("out", "o", mitkCommandLineParser::OutputFile, "Output root:", "output root", us::Any(), false); parser.addArgument("parameters", "p", mitkCommandLineParser::InputFile, "Parameter file:", "fiberfox parameter file (.ffp)", us::Any(), false); parser.addArgument("input", "i", mitkCommandLineParser::String, "Input:", "Input tractogram or diffusion-weighted image.", us::Any(), false); parser.addArgument("verbose", "v", mitkCommandLineParser::Bool, "Output additional images:", "output volume fraction images etc.", us::Any()); map parsedArgs = parser.parseArguments(argc, argv); if (parsedArgs.size()==0) { return EXIT_FAILURE; } string outName = us::any_cast(parsedArgs["out"]); string paramName = us::any_cast(parsedArgs["parameters"]); string input=""; if (parsedArgs.count("input")) { input = us::any_cast(parsedArgs["input"]); } bool verbose = false; if (parsedArgs.count("verbose")) { verbose = us::any_cast(parsedArgs["verbose"]); } FiberfoxParameters parameters; parameters.LoadParameters(paramName); // Test if /path/dir is an existing directory: string file_extension = ""; if( itksys::SystemTools::FileIsDirectory( outName ) ) { while( *(--(outName.cend())) == '/') { outName.pop_back(); } outName = outName + '/'; parameters.m_Misc.m_OutputPath = outName; outName = outName + parameters.m_Misc.m_OutputPrefix; // using default m_OutputPrefix as initialized. } else { // outName is NOT an existing directory, so we need to remove all trailing slashes: while( *(--(outName.cend())) == '/') { outName.pop_back(); } // now split up the given outName into directory and (prefix of) filename: if( ! itksys::SystemTools::GetFilenamePath( outName ).empty() && itksys::SystemTools::FileIsDirectory(itksys::SystemTools::GetFilenamePath( outName ) ) ) { parameters.m_Misc.m_OutputPath = itksys::SystemTools::GetFilenamePath( outName ) + '/'; } else { parameters.m_Misc.m_OutputPath = itksys::SystemTools::GetCurrentWorkingDirectory() + '/'; } file_extension = itksys::SystemTools::GetFilenameExtension(outName); if( ! itksys::SystemTools::GetFilenameWithoutExtension( outName ).empty() ) { parameters.m_Misc.m_OutputPrefix = itksys::SystemTools::GetFilenameWithoutExtension( outName ); } else { parameters.m_Misc.m_OutputPrefix = "fiberfox"; } outName = parameters.m_Misc.m_OutputPath + parameters.m_Misc.m_OutputPrefix; } // check if log file already exists and avoid overwriting existing files: std::string NameTest = outName; int c = 0; while( itksys::SystemTools::FileExists( outName + ".log" ) && c <= std::numeric_limits::max() ) { outName = NameTest + "_" + boost::lexical_cast(c); ++c; } if (verbose) { MITK_DEBUG << outName << ".ffp"; parameters.SaveParameters(outName+".ffp"); } mitk::PreferenceListReaderOptionsFunctor functor = mitk::PreferenceListReaderOptionsFunctor({"Diffusion Weighted Images", "Fiberbundles"}, {}); mitk::BaseData::Pointer inputData = mitk::IOUtil::Load(input, &functor)[0]; itk::TractsToDWIImageFilter< short >::Pointer tractsToDwiFilter = itk::TractsToDWIImageFilter< short >::New(); if ( dynamic_cast(inputData.GetPointer()) ) // simulate dataset from fibers { tractsToDwiFilter->SetFiberBundle(dynamic_cast(inputData.GetPointer())); } else if ( dynamic_cast(inputData.GetPointer()) ) // add artifacts to existing image { typedef itk::VectorImage< short, 3 > ItkDwiType; mitk::Image::Pointer diffImg = dynamic_cast(inputData.GetPointer()); ItkDwiType::Pointer itkVectorImagePointer = ItkDwiType::New(); mitk::CastToItkImage(diffImg, itkVectorImagePointer); parameters.m_SignalGen.m_SignalScale = 1; parameters.m_SignalGen.m_ImageRegion = itkVectorImagePointer->GetLargestPossibleRegion(); parameters.m_SignalGen.m_ImageSpacing = itkVectorImagePointer->GetSpacing(); parameters.m_SignalGen.m_ImageOrigin = itkVectorImagePointer->GetOrigin(); parameters.m_SignalGen.m_ImageDirection = itkVectorImagePointer->GetDirection(); parameters.m_SignalGen.m_Bvalue = static_cast (diffImg->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() ) ->GetValue(); parameters.m_SignalGen.SetGradienDirections( static_cast ( diffImg->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() ) ->GetGradientDirectionsContainer() ); tractsToDwiFilter->SetInputImage(itkVectorImagePointer); } tractsToDwiFilter->SetParameters(parameters); tractsToDwiFilter->Update(); mitk::Image::Pointer image = mitk::GrabItkImageMemory( tractsToDwiFilter->GetOutput() ); - image->SetProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), + image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( parameters.m_SignalGen.GetGradientDirections() ) ); - image->SetProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), + image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( parameters.m_SignalGen.m_Bvalue ) ); mitk::DiffusionPropertyHelper propertyHelper( image ); propertyHelper.InitializeImage(); if (file_extension=="") mitk::IOUtil::Save(image, "application/vnd.mitk.nii.gz", outName+".nii.gz"); else if (file_extension==".nii" || file_extension==".nii.gz") mitk::IOUtil::Save(image, "application/vnd.mitk.nii.gz", outName+file_extension); else mitk::IOUtil::Save(image, outName+file_extension); if (verbose) { std::vector< itk::TractsToDWIImageFilter< short >::ItkDoubleImgType::Pointer > volumeFractions = tractsToDwiFilter->GetVolumeFractions(); for (unsigned int k=0; kInitializeByItk(volumeFractions.at(k).GetPointer()); image->SetVolume(volumeFractions.at(k)->GetBufferPointer()); mitk::IOUtil::Save(image, outName+"_Compartment"+boost::lexical_cast(k+1)+".nrrd"); } if (tractsToDwiFilter->GetPhaseImage().IsNotNull()) { mitk::Image::Pointer image = mitk::Image::New(); itk::TractsToDWIImageFilter< short >::DoubleDwiType::Pointer itkPhase = tractsToDwiFilter->GetPhaseImage(); image = mitk::GrabItkImageMemory( itkPhase.GetPointer() ); mitk::IOUtil::Save(image, outName+"_Phase.nrrd"); } if (tractsToDwiFilter->GetKspaceImage().IsNotNull()) { mitk::Image::Pointer image = mitk::Image::New(); itk::TractsToDWIImageFilter< short >::DoubleDwiType::Pointer itkImage = tractsToDwiFilter->GetKspaceImage(); image = mitk::GrabItkImageMemory( itkImage.GetPointer() ); mitk::IOUtil::Save(image, outName+"_kSpace.nrrd"); } } return EXIT_SUCCESS; } diff --git a/Modules/DiffusionImaging/Quantification/cmdapps/MultishellMethods.cpp b/Modules/DiffusionImaging/Quantification/cmdapps/MultishellMethods.cpp index b23d1d10c0..09feeb0568 100644 --- a/Modules/DiffusionImaging/Quantification/cmdapps/MultishellMethods.cpp +++ b/Modules/DiffusionImaging/Quantification/cmdapps/MultishellMethods.cpp @@ -1,219 +1,219 @@ /*=================================================================== The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center, Division of Medical and Biological Informatics. All rights reserved. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See LICENSE.txt or http://www.mitk.org for details. ===================================================================*/ #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include "mitkCommandLineParser.h" #include #include #include #include #include #include #include #include #include #include #include #include using namespace std; int main(int argc, char* argv[]) { mitkCommandLineParser parser; parser.setTitle("Multishell Methods"); parser.setCategory("Preprocessing Tools"); parser.setDescription(""); parser.setContributor("MIC"); parser.setArgumentPrefix("--", "-"); parser.addArgument("in", "i", mitkCommandLineParser::InputFile, "Input:", "input file", us::Any(), false); parser.addArgument("out", "o", mitkCommandLineParser::OutputFile, "Output:", "output file", us::Any(), false); parser.addArgument("adc", "D", mitkCommandLineParser::Bool, "ADC:", "ADC Average", us::Any(), false); parser.addArgument("akc", "K", mitkCommandLineParser::Bool, "Kurtosis fit:", "Kurtosis Fit", us::Any(), false); parser.addArgument("biexp", "B", mitkCommandLineParser::Bool, "BiExp fit:", "BiExp fit", us::Any(), false); parser.addArgument("targetbvalue", "b", mitkCommandLineParser::String, "b Value:", "target bValue (mean, min, max)", us::Any(), false); map parsedArgs = parser.parseArguments(argc, argv); if (parsedArgs.size()==0) return EXIT_FAILURE; // mandatory arguments string inName = us::any_cast(parsedArgs["in"]); string outName = us::any_cast(parsedArgs["out"]); bool applyADC = us::any_cast(parsedArgs["adc"]); bool applyAKC = us::any_cast(parsedArgs["akc"]); bool applyBiExp = us::any_cast(parsedArgs["biexp"]); string targetType = us::any_cast(parsedArgs["targetbvalue"]); try { std::cout << "Loading " << inName; mitk::PreferenceListReaderOptionsFunctor functor = mitk::PreferenceListReaderOptionsFunctor({"Diffusion Weighted Images"}, {}); mitk::Image::Pointer dwi = mitk::IOUtil::LoadImage(inName, &functor); if ( mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( dwi ) ) { typedef itk::RadialMultishellToSingleshellImageFilter FilterType; typedef itk::DwiGradientLengthCorrectionFilter CorrectionFilterType; CorrectionFilterType::Pointer roundfilter = CorrectionFilterType::New(); roundfilter->SetRoundingValue( 1000 ); roundfilter->SetReferenceBValue(mitk::DiffusionPropertyHelper::GetReferenceBValue( dwi )); roundfilter->SetReferenceGradientDirectionContainer(mitk::DiffusionPropertyHelper::GetGradientContainer(dwi)); roundfilter->Update(); dwi->SetProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( roundfilter->GetNewBValue() ) ); - dwi->SetProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( roundfilter->GetOutputGradientDirectionContainer() ) ); + dwi->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( roundfilter->GetOutputGradientDirectionContainer() ) ); // filter input parameter const mitk::DiffusionPropertyHelper::BValueMapType &originalShellMap = mitk::DiffusionPropertyHelper::GetBValueMap(dwi); mitk::DiffusionPropertyHelper::ImageType::Pointer vectorImage = mitk::DiffusionPropertyHelper::ImageType::New(); mitk::CastToItkImage(dwi, vectorImage); const mitk::DiffusionPropertyHelper::GradientDirectionsContainerType::Pointer gradientContainer = mitk::DiffusionPropertyHelper::GetGradientContainer(dwi); const unsigned int &bValue = mitk::DiffusionPropertyHelper::GetReferenceBValue( dwi ); // filter call vnl_vector bValueList(originalShellMap.size()-1); double targetBValue = bValueList.mean(); mitk::DiffusionPropertyHelper::BValueMapType::const_iterator it = originalShellMap.begin(); ++it; int i = 0 ; for(; it != originalShellMap.end(); ++it) bValueList.put(i++,it->first); if( targetType == "mean" ) targetBValue = bValueList.mean(); else if( targetType == "min" ) targetBValue = bValueList.min_value(); else if( targetType == "max" ) targetBValue = bValueList.max_value(); if(applyADC) { FilterType::Pointer filter = FilterType::New(); filter->SetInput(vectorImage); filter->SetOriginalGradientDirections(gradientContainer); filter->SetOriginalBValueMap(originalShellMap); filter->SetOriginalBValue(bValue); itk::ADCAverageFunctor::Pointer functor = itk::ADCAverageFunctor::New(); functor->setListOfBValues(bValueList); functor->setTargetBValue(targetBValue); filter->SetFunctor(functor); filter->Update(); // create new DWI image mitk::Image::Pointer outImage = mitk::GrabItkImageMemory( filter->GetOutput() ); outImage->SetProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( targetBValue ) ); - outImage->SetProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( filter->GetTargetGradientDirections() ) ); + outImage->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( filter->GetTargetGradientDirections() ) ); mitk::DiffusionPropertyHelper propertyHelper( outImage ); propertyHelper.InitializeImage(); mitk::IOUtil::Save(outImage, (outName + "_ADC.dwi").c_str()); } if(applyAKC) { FilterType::Pointer filter = FilterType::New(); filter->SetInput(vectorImage); filter->SetOriginalGradientDirections(gradientContainer); filter->SetOriginalBValueMap(originalShellMap); filter->SetOriginalBValue(bValue); itk::KurtosisFitFunctor::Pointer functor = itk::KurtosisFitFunctor::New(); functor->setListOfBValues(bValueList); functor->setTargetBValue(targetBValue); filter->SetFunctor(functor); filter->Update(); // create new DWI image mitk::Image::Pointer outImage = mitk::GrabItkImageMemory( filter->GetOutput() ); outImage->SetProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( targetBValue ) ); - outImage->SetProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( filter->GetTargetGradientDirections() ) ); + outImage->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( filter->GetTargetGradientDirections() ) ); mitk::DiffusionPropertyHelper propertyHelper( outImage ); propertyHelper.InitializeImage(); mitk::IOUtil::Save(outImage, (string(outName) + "_AKC.dwi").c_str()); } if(applyBiExp) { FilterType::Pointer filter = FilterType::New(); filter->SetInput(vectorImage); filter->SetOriginalGradientDirections(gradientContainer); filter->SetOriginalBValueMap(originalShellMap); filter->SetOriginalBValue(bValue); itk::BiExpFitFunctor::Pointer functor = itk::BiExpFitFunctor::New(); functor->setListOfBValues(bValueList); functor->setTargetBValue(targetBValue); filter->SetFunctor(functor); filter->Update(); // create new DWI image mitk::Image::Pointer outImage = mitk::GrabItkImageMemory( filter->GetOutput() ); outImage->SetProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( targetBValue ) ); - outImage->SetProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( filter->GetTargetGradientDirections() ) ); + outImage->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( filter->GetTargetGradientDirections() ) ); mitk::DiffusionPropertyHelper propertyHelper( outImage ); propertyHelper.InitializeImage(); mitk::IOUtil::Save(outImage, (string(outName) + "_BiExp.dwi").c_str()); } } } catch (itk::ExceptionObject e) { std::cout << e; return EXIT_FAILURE; } catch (std::exception e) { std::cout << e.what(); return EXIT_FAILURE; } catch (...) { std::cout << "ERROR!?!"; return EXIT_FAILURE; } return EXIT_SUCCESS; } diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.denoising/src/internal/QmitkDenoisingView.cpp b/Plugins/org.mitk.gui.qt.diffusionimaging.denoising/src/internal/QmitkDenoisingView.cpp index 0eef600b71..4fbeeac5be 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.denoising/src/internal/QmitkDenoisingView.cpp +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.denoising/src/internal/QmitkDenoisingView.cpp @@ -1,524 +1,524 @@ /*=================================================================== The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center, Division of Medical and Biological Informatics. All rights reserved. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See LICENSE.txt or http://www.mitk.org for details. ===================================================================*/ // Blueberry #include #include // Qmitk #include "QmitkDenoisingView.h" #include #include #include #include QmitkDenoisingWorker::QmitkDenoisingWorker(QmitkDenoisingView *view) : m_View(view) { } void QmitkDenoisingWorker::run() { if (m_View->m_ImageNode.IsNotNull()) { switch (m_View->m_SelectedFilter) { case QmitkDenoisingView::NOFILTERSELECTED: case QmitkDenoisingView::GAUSS: { break; } case QmitkDenoisingView::NLM: { try { m_View->m_CompletedCalculation = true; m_View->m_NonLocalMeansFilter->Update(); } catch (itk::ExceptionObject& e) { m_View->m_CompletedCalculation = false; MITK_ERROR << e.what(); } break; } } m_View->m_DenoisingThread.quit(); } } const std::string QmitkDenoisingView::VIEW_ID = "org.mitk.views.denoisingview"; QmitkDenoisingView::QmitkDenoisingView() : QmitkAbstractView() , m_Controls( 0 ) , m_ImageNode(nullptr) , m_BrainMaskNode(nullptr) , m_DenoisingWorker(this) , m_ThreadIsRunning(false) , m_NonLocalMeansFilter(nullptr) , m_InputImage(nullptr) , m_LastProgressCount(0) , m_MaxProgressCount(0) , m_SelectedFilter(NOFILTERSELECTED) { m_DenoisingWorker.moveToThread(&m_DenoisingThread); connect(&m_DenoisingThread, SIGNAL(started()), this, SLOT(BeforeThread())); connect(&m_DenoisingThread, SIGNAL(started()), &m_DenoisingWorker, SLOT(run())); connect(&m_DenoisingThread, SIGNAL(finished()), this, SLOT(AfterThread())); connect(&m_DenoisingThread, SIGNAL(terminated()), this, SLOT(AfterThread())); m_DenoisingTimer = new QTimer(this); } QmitkDenoisingView::~QmitkDenoisingView() { delete m_DenoisingTimer; } void QmitkDenoisingView::CreateQtPartControl( QWidget *parent ) { // build up qt view, unless already done if ( !m_Controls ) { // create GUI widgets from the Qt Designer's .ui file m_Controls = new Ui::QmitkDenoisingViewControls; m_Controls->setupUi( parent ); m_Controls->m_SelectFilterComboBox->clear(); m_Controls->m_SelectFilterComboBox->insertItem(NOFILTERSELECTED, "Please select a filter"); m_Controls->m_SelectFilterComboBox->insertItem(NLM, "Non-local means filter"); m_Controls->m_SelectFilterComboBox->insertItem(GAUSS, "Discrete gaussian filter"); CreateConnections(); ResetParameterPanel(); } } void QmitkDenoisingView::CreateConnections() { if ( m_Controls ) { connect( (QObject*)(m_Controls->m_ApplyButton), SIGNAL(clicked()), this, SLOT(StartDenoising())); connect( (QObject*)(m_Controls->m_SelectFilterComboBox), SIGNAL(activated(int)), this, SLOT(SelectFilter(int))); connect( m_DenoisingTimer, SIGNAL(timeout()), this, SLOT(UpdateProgress())); } } void QmitkDenoisingView::SetFocus() { m_Controls->m_SelectFilterComboBox->setFocus(); } void QmitkDenoisingView::OnSelectionChanged(berry::IWorkbenchPart::Pointer /*part*/, const QList& nodes) { if (m_ThreadIsRunning) return; if (m_SelectedFilter != NOFILTERSELECTED) { m_Controls->m_InputImageLabel->setText("mandatory"); } else { m_Controls->m_InputImageLabel->setText("mandatory"); } m_Controls->m_InputBrainMaskLabel->setText("optional"); m_Controls->m_ApplyButton->setEnabled(false); m_ImageNode = nullptr; m_BrainMaskNode = nullptr; // iterate selection for (mitk::DataNode::Pointer node: nodes) { bool isDiffusionImage(false); if(node.IsNotNull()) { isDiffusionImage = mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( dynamic_cast(node->GetData())); } if( node.IsNotNull() && isDiffusionImage) { m_Controls->m_InputImageLabel->setText(node->GetName().c_str()); m_ImageNode = node; } bool isBinary = false; node->GetBoolProperty("binary", isBinary); // look for a brainmask in selection if( node.IsNotNull() && static_cast(node->GetData()) && isBinary) { m_Controls->m_InputBrainMaskLabel->setText(node->GetName().c_str()); m_BrainMaskNode = node; } } // Preparation of GUI to start denoising if a filter is selected if (m_ImageNode.IsNotNull() && m_SelectedFilter != NOFILTERSELECTED) { m_Controls->m_ApplyButton->setEnabled(true); } } void QmitkDenoisingView::StartDenoising() { if (!m_ThreadIsRunning) { if (m_ImageNode.IsNotNull()) { m_LastProgressCount = 0; switch (m_SelectedFilter) { case NOFILTERSELECTED: { break; } case NLM: { // initialize NLM m_InputImage = dynamic_cast (m_ImageNode->GetData()); m_NonLocalMeansFilter = NonLocalMeansDenoisingFilterType::New(); if (m_BrainMaskNode.IsNotNull()) { // use brainmask if set m_ImageMask = dynamic_cast(m_BrainMaskNode->GetData()); itk::Image::Pointer itkMask; mitk::CastToItkImage(m_ImageMask, itkMask); m_NonLocalMeansFilter->SetInputMask(itkMask); itk::ImageRegionIterator< itk::Image > mit(itkMask, itkMask->GetLargestPossibleRegion()); mit.GoToBegin(); itk::Image::IndexType minIndex; itk::Image::IndexType maxIndex; minIndex.Fill(10000); maxIndex.Fill(0); while (!mit.IsAtEnd()) { if (mit.Get()) { // calculation of the start & end index of the smallest masked region minIndex[0] = minIndex[0] < mit.GetIndex()[0] ? minIndex[0] : mit.GetIndex()[0]; minIndex[1] = minIndex[1] < mit.GetIndex()[1] ? minIndex[1] : mit.GetIndex()[1]; minIndex[2] = minIndex[2] < mit.GetIndex()[2] ? minIndex[2] : mit.GetIndex()[2]; maxIndex[0] = maxIndex[0] > mit.GetIndex()[0] ? maxIndex[0] : mit.GetIndex()[0]; maxIndex[1] = maxIndex[1] > mit.GetIndex()[1] ? maxIndex[1] : mit.GetIndex()[1]; maxIndex[2] = maxIndex[2] > mit.GetIndex()[2] ? maxIndex[2] : mit.GetIndex()[2]; } ++mit; } itk::Image::SizeType size; size[0] = maxIndex[0] - minIndex[0] + 1; size[1] = maxIndex[1] - minIndex[1] + 1; size[2] = maxIndex[2] - minIndex[2] + 1; m_MaxProgressCount = size[0] * size[1] * size[2]; } else { // initialize the progressbar m_MaxProgressCount = m_InputImage->GetDimension(0) * m_InputImage->GetDimension(1) * m_InputImage->GetDimension(2); } mitk::ProgressBar::GetInstance()->AddStepsToDo(m_MaxProgressCount); ITKDiffusionImageType::Pointer itkVectorImagePointer = ITKDiffusionImageType::New(); mitk::CastToItkImage(m_InputImage, itkVectorImagePointer); m_NonLocalMeansFilter->SetInputImage( itkVectorImagePointer ); m_NonLocalMeansFilter->SetUseRicianAdaption(m_Controls->m_RicianCheckbox->isChecked()); m_NonLocalMeansFilter->SetUseJointInformation(m_Controls->m_JointInformationCheckbox->isChecked()); m_NonLocalMeansFilter->SetSearchRadius(m_Controls->m_SpinBoxParameter1->value()); m_NonLocalMeansFilter->SetComparisonRadius(m_Controls->m_SpinBoxParameter2->value()); m_NonLocalMeansFilter->SetVariance(m_Controls->m_DoubleSpinBoxParameter3->value()); // start denoising in detached thread m_DenoisingThread.start(QThread::HighestPriority); break; } case GAUSS: { // initialize GAUSS and run m_InputImage = dynamic_cast (m_ImageNode->GetData()); ITKDiffusionImageType::Pointer itkVectorImagePointer = ITKDiffusionImageType::New(); mitk::CastToItkImage(m_InputImage, itkVectorImagePointer); ExtractFilterType::Pointer extractor = ExtractFilterType::New(); extractor->SetInput( itkVectorImagePointer ); ComposeFilterType::Pointer composer = ComposeFilterType::New(); for (unsigned int i = 0; i < itkVectorImagePointer->GetVectorLength(); ++i) { extractor->SetIndex(i); extractor->Update(); m_GaussianFilter = GaussianFilterType::New(); m_GaussianFilter->SetVariance(m_Controls->m_SpinBoxParameter1->value()); if (m_BrainMaskNode.IsNotNull()) { m_ImageMask = dynamic_cast(m_BrainMaskNode->GetData()); itk::Image::Pointer itkMask = itk::Image::New(); mitk::CastToItkImage(m_ImageMask, itkMask); itk::MaskImageFilter , itk::Image >::Pointer maskImageFilter = itk::MaskImageFilter , itk::Image >::New(); maskImageFilter->SetInput(extractor->GetOutput()); maskImageFilter->SetMaskImage(itkMask); maskImageFilter->Update(); m_GaussianFilter->SetInput(maskImageFilter->GetOutput()); } else { m_GaussianFilter->SetInput(extractor->GetOutput()); } m_GaussianFilter->Update(); composer->SetInput(i, m_GaussianFilter->GetOutput()); } composer->Update(); mitk::Image::Pointer image = mitk::GrabItkImageMemory(composer->GetOutput()); - image->SetProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( static_cast( m_InputImage->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer() ) ); + image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( static_cast( m_InputImage->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer() ) ); image->SetProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( static_cast(m_InputImage->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue() ) ); mitk::DiffusionPropertyHelper propertyHelper( image ); propertyHelper.InitializeImage(); mitk::DataNode::Pointer imageNode = mitk::DataNode::New(); imageNode->SetData( image ); QString name = m_ImageNode->GetName().c_str(); imageNode->SetName((name+"_gauss_"+QString::number(m_Controls->m_SpinBoxParameter1->value())).toStdString().c_str()); GetDataStorage()->Add(imageNode); break; } } } } else { m_NonLocalMeansFilter->AbortGenerateDataOn(); m_CompletedCalculation = false; } } void QmitkDenoisingView::ResetParameterPanel() { m_Controls->m_DwiLabel->setEnabled(false); m_Controls->m_InputImageLabel->setEnabled(false); m_Controls->m_BrainMaskLabel->setEnabled(false); m_Controls->m_InputBrainMaskLabel->setEnabled(false); m_Controls->m_ParameterBox->hide(); m_Controls->m_LabelParameter_1->hide(); m_Controls->m_LabelParameter_2->hide(); m_Controls->m_LabelParameter_3->hide(); m_Controls->m_SpinBoxParameter1->hide(); m_Controls->m_SpinBoxParameter2->hide(); m_Controls->m_DoubleSpinBoxParameter3->hide(); m_Controls->m_RicianLabel->hide(); m_Controls->m_RicianCheckbox->hide(); m_Controls->m_JointInformationLabel->hide(); m_Controls->m_JointInformationCheckbox->hide(); m_Controls->m_ApplyButton->setEnabled(false); } void QmitkDenoisingView::SelectFilter(int filter) { if (m_ThreadIsRunning) return; //Prepare GUI this->ResetParameterPanel(); switch (filter) { case 0: { m_SelectedFilter = NOFILTERSELECTED; break; } case 1: { m_SelectedFilter = NLM; m_Controls->m_DwiLabel->setEnabled(true); m_Controls->m_InputImageLabel->setEnabled(true); m_Controls->m_BrainMaskLabel->setEnabled(true); m_Controls->m_InputBrainMaskLabel->setEnabled(true); m_Controls->m_ParameterBox->show(); m_Controls->m_LabelParameter_1->show(); m_Controls->m_LabelParameter_1->setText("Search Radius:"); m_Controls->m_LabelParameter_2->show(); m_Controls->m_LabelParameter_2->setText("Comparision Radius:"); m_Controls->m_LabelParameter_3->show(); m_Controls->m_LabelParameter_3->setText("Noise variance:"); m_Controls->m_SpinBoxParameter1->show(); m_Controls->m_SpinBoxParameter1->setValue(4); m_Controls->m_SpinBoxParameter2->show(); m_Controls->m_SpinBoxParameter2->setValue(1); m_Controls->m_DoubleSpinBoxParameter3->show(); m_Controls->m_DoubleSpinBoxParameter3->setValue(1.0); m_Controls->m_RicianLabel->show(); m_Controls->m_RicianCheckbox->show(); m_Controls->m_RicianCheckbox->setChecked(true); m_Controls->m_JointInformationLabel->show(); m_Controls->m_JointInformationCheckbox->show(); m_Controls->m_JointInformationCheckbox->setChecked(false); break; } case 2: { m_SelectedFilter = GAUSS; m_Controls->m_DwiLabel->setEnabled(true); m_Controls->m_InputImageLabel->setEnabled(true); m_Controls->m_BrainMaskLabel->setEnabled(true); m_Controls->m_InputBrainMaskLabel->setEnabled(true); m_Controls->m_ParameterBox->show(); m_Controls->m_LabelParameter_1->show(); m_Controls->m_LabelParameter_1->setText("Variance:"); m_Controls->m_SpinBoxParameter1->show(); m_Controls->m_SpinBoxParameter1->setValue(2); break; } } if (m_ImageNode.IsNull()) { if (m_SelectedFilter != NOFILTERSELECTED) m_Controls->m_InputImageLabel->setText("mandatory"); else m_Controls->m_InputImageLabel->setText("mandatory"); } if (m_ImageNode.IsNotNull()) { m_Controls->m_ApplyButton->setEnabled(false); switch(filter) { case NOFILTERSELECTED: { break; } case NLM: case GAUSS: { m_Controls->m_ApplyButton->setEnabled(true); break; } } } } void QmitkDenoisingView::BeforeThread() { m_ThreadIsRunning = true; // initialize timer to update the progressbar at each timestep m_DenoisingTimer->start(500); m_Controls->m_ParameterBox->setEnabled(false); m_Controls->m_ApplyButton->setText("Abort"); } void QmitkDenoisingView::AfterThread() { m_ThreadIsRunning = false; // stop timer to stop updates of progressbar m_DenoisingTimer->stop(); // make sure progressbar is finished mitk::ProgressBar::GetInstance()->Progress(m_MaxProgressCount); if (m_CompletedCalculation) { switch (m_SelectedFilter) { case NOFILTERSELECTED: case GAUSS: { break; } case NLM: { mitk::Image::Pointer image = mitk::GrabItkImageMemory( m_NonLocalMeansFilter->GetOutput() ); - image->SetProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( static_cast( m_InputImage->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer() ) ); + image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( static_cast( m_InputImage->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer() ) ); image->SetProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( static_cast(m_InputImage->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue() ) ); mitk::DiffusionPropertyHelper propertyHelper( image ); propertyHelper.InitializeImage(); mitk::DataNode::Pointer imageNode = mitk::DataNode::New(); imageNode->SetData( image ); QString name = m_ImageNode->GetName().c_str(); //TODO: Rician adaption & joint information in name if (m_Controls->m_RicianCheckbox->isChecked() && !m_Controls->m_JointInformationCheckbox->isChecked()) { imageNode->SetName((name+"_NLMr_"+QString::number(m_Controls->m_SpinBoxParameter1->value())+"-"+QString::number(m_Controls->m_SpinBoxParameter2->value())).toStdString().c_str()); } else if(!m_Controls->m_RicianCheckbox->isChecked() && m_Controls->m_JointInformationCheckbox->isChecked()) { imageNode->SetName((name+"_NLMv_"+QString::number(m_Controls->m_SpinBoxParameter1->value())+"-"+QString::number(m_Controls->m_SpinBoxParameter2->value())).toStdString().c_str()); } else if(m_Controls->m_RicianCheckbox->isChecked() && m_Controls->m_JointInformationCheckbox->isChecked()) { imageNode->SetName((name+"_NLMvr_"+QString::number(m_Controls->m_SpinBoxParameter1->value())+"-"+QString::number(m_Controls->m_SpinBoxParameter2->value())).toStdString().c_str()); } else { imageNode->SetName((name+"_NLM_"+QString::number(m_Controls->m_SpinBoxParameter1->value())+"-"+QString::number(m_Controls->m_SpinBoxParameter2->value())).toStdString().c_str()); } GetDataStorage()->Add(imageNode); break; } } } m_Controls->m_ParameterBox->setEnabled(true); m_Controls->m_ApplyButton->setText("Apply"); } void QmitkDenoisingView::UpdateProgress() { switch (m_SelectedFilter) { case NOFILTERSELECTED: case GAUSS: { break; } case NLM: { unsigned int currentProgressCount = m_NonLocalMeansFilter->GetCurrentVoxelCount(); mitk::ProgressBar::GetInstance()->Progress(currentProgressCount-m_LastProgressCount); m_LastProgressCount = currentProgressCount; break; } } } diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/internal/QmitkFiberfoxView.cpp b/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/internal/QmitkFiberfoxView.cpp index deffca76e6..30fe8adbad 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/internal/QmitkFiberfoxView.cpp +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/internal/QmitkFiberfoxView.cpp @@ -1,2903 +1,2903 @@ /*=================================================================== The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center, Division of Medical and Biological Informatics. All rights reserved. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See LICENSE.txt or http://www.mitk.org for details. ===================================================================*/ //misc #define _USE_MATH_DEFINES #include // Blueberry #include #include // Qmitk #include "QmitkFiberfoxView.h" // MITK #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #define RAPIDXML_NO_EXCEPTIONS #include #include #include #include #include "usModuleRegistry.h" #include #include #include #include #include #include #include #include #include #include "mitkNodePredicateDataType.h" #include #include #include #include #define _USE_MATH_DEFINES #include QmitkFiberfoxWorker::QmitkFiberfoxWorker(QmitkFiberfoxView* view) : m_View(view) { } void QmitkFiberfoxWorker::run() { try{ m_View->m_TractsToDwiFilter->Update(); } catch( ... ) { } m_View->m_Thread.quit(); } const std::string QmitkFiberfoxView::VIEW_ID = "org.mitk.views.fiberfoxview"; QmitkFiberfoxView::QmitkFiberfoxView() : QmitkAbstractView() , m_Controls( 0 ) , m_SelectedImageNode( nullptr ) , m_Worker(this) , m_ThreadIsRunning(false) { m_Worker.moveToThread(&m_Thread); connect(&m_Thread, SIGNAL(started()), this, SLOT(BeforeThread())); connect(&m_Thread, SIGNAL(started()), &m_Worker, SLOT(run())); connect(&m_Thread, SIGNAL(finished()), this, SLOT(AfterThread())); // connect(&m_Thread, SIGNAL(terminated()), this, SLOT(AfterThread())); m_SimulationTimer = new QTimer(this); } void QmitkFiberfoxView::KillThread() { MITK_INFO << "Aborting DWI simulation."; m_TractsToDwiFilter->SetAbortGenerateData(true); m_Controls->m_AbortSimulationButton->setEnabled(false); m_Controls->m_AbortSimulationButton->setText("Aborting simulation ..."); } void QmitkFiberfoxView::BeforeThread() { m_SimulationTime = QTime::currentTime(); m_SimulationTimer->start(100); m_Controls->m_AbortSimulationButton->setVisible(true); m_Controls->m_GenerateImageButton->setVisible(false); m_Controls->m_SimulationStatusText->setVisible(true); m_ThreadIsRunning = true; } void QmitkFiberfoxView::AfterThread() { UpdateSimulationStatus(); m_SimulationTimer->stop(); m_Controls->m_AbortSimulationButton->setVisible(false); m_Controls->m_AbortSimulationButton->setEnabled(true); m_Controls->m_AbortSimulationButton->setText("Abort simulation"); m_Controls->m_GenerateImageButton->setVisible(true); m_ThreadIsRunning = false; QString statusText; FiberfoxParameters parameters; mitk::Image::Pointer mitkImage = mitk::Image::New(); statusText = QString(m_TractsToDwiFilter->GetStatusText().c_str()); if (m_TractsToDwiFilter->GetAbortGenerateData()) { MITK_INFO << "Simulation aborted."; return; } parameters = m_TractsToDwiFilter->GetParameters(); mitkImage = mitk::GrabItkImageMemory( m_TractsToDwiFilter->GetOutput() ); - mitkImage->SetProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), + mitkImage->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( parameters.m_SignalGen.GetGradientDirections() )); mitkImage->SetProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( parameters.m_SignalGen.m_Bvalue )); mitk::DiffusionPropertyHelper propertyHelper( mitkImage ); propertyHelper.InitializeImage(); parameters.m_Misc.m_ResultNode->SetData( mitkImage ); GetDataStorage()->Add(parameters.m_Misc.m_ResultNode, parameters.m_Misc.m_ParentNode); parameters.m_Misc.m_ResultNode->SetProperty( "levelwindow", mitk::LevelWindowProperty::New(m_TractsToDwiFilter->GetLevelWindow()) ); if (m_Controls->m_VolumeFractionsBox->isChecked()) { std::vector< itk::TractsToDWIImageFilter< short >::ItkDoubleImgType::Pointer > volumeFractions = m_TractsToDwiFilter->GetVolumeFractions(); for (unsigned int k=0; kInitializeByItk(volumeFractions.at(k).GetPointer()); image->SetVolume(volumeFractions.at(k)->GetBufferPointer()); mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData( image ); node->SetName("CompartmentVolume-"+QString::number(k).toStdString()); GetDataStorage()->Add(node, parameters.m_Misc.m_ResultNode); } if (m_TractsToDwiFilter->GetPhaseImage().IsNotNull()) { mitk::Image::Pointer phaseImage = mitk::Image::New(); itk::TractsToDWIImageFilter< short >::DoubleDwiType::Pointer itkPhase = m_TractsToDwiFilter->GetPhaseImage(); phaseImage = mitk::GrabItkImageMemory( itkPhase.GetPointer() ); mitk::DataNode::Pointer phaseNode = mitk::DataNode::New(); phaseNode->SetData( phaseImage ); phaseNode->SetName("Phase Image"); GetDataStorage()->Add(phaseNode, parameters.m_Misc.m_ResultNode); } if (m_TractsToDwiFilter->GetKspaceImage().IsNotNull()) { mitk::Image::Pointer image = mitk::Image::New(); itk::TractsToDWIImageFilter< short >::DoubleDwiType::Pointer itkImage = m_TractsToDwiFilter->GetKspaceImage(); image = mitk::GrabItkImageMemory( itkImage.GetPointer() ); mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData( image ); node->SetName("k-Space"); GetDataStorage()->Add(node, parameters.m_Misc.m_ResultNode); } { mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData(m_TractsToDwiFilter->GetCoilPointset()); node->SetName("Coil Positions"); node->SetProperty("pointsize", mitk::FloatProperty::New(parameters.m_SignalGen.m_ImageSpacing[0]/4)); node->SetProperty("color", mitk::ColorProperty::New(0, 1, 0)); GetDataStorage()->Add(node, parameters.m_Misc.m_ResultNode); } } m_TractsToDwiFilter = nullptr; if (parameters.m_Misc.m_AfterSimulationMessage.size()>0) QMessageBox::information( nullptr, "Warning", parameters.m_Misc.m_AfterSimulationMessage.c_str()); mitk::BaseData::Pointer basedata = parameters.m_Misc.m_ResultNode->GetData(); if (basedata.IsNotNull()) { mitk::RenderingManager::GetInstance()->InitializeViews( basedata->GetTimeGeometry(), mitk::RenderingManager::REQUEST_UPDATE_ALL, true ); mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } if (!parameters.m_Misc.m_OutputPath.empty()) { try{ QString outputFileName(parameters.m_Misc.m_OutputPath.c_str()); outputFileName += parameters.m_Misc.m_ResultNode->GetName().c_str(); outputFileName.replace(QString("."), QString("_")); SaveParameters(outputFileName+".ffp"); outputFileName += ".dwi"; QString status("Saving output image to "); status += outputFileName; m_Controls->m_SimulationStatusText->append(status); mitk::IOUtil::Save(mitkImage, outputFileName.toStdString()); m_Controls->m_SimulationStatusText->append("File saved successfully."); } catch (itk::ExceptionObject &e) { QString status("Exception during DWI writing: "); status += e.GetDescription(); m_Controls->m_SimulationStatusText->append(status); } catch (...) { m_Controls->m_SimulationStatusText->append("Unknown exception during DWI writing!"); } } parameters.m_SignalGen.m_FrequencyMap = nullptr; } void QmitkFiberfoxView::UpdateSimulationStatus() { QString statusText = QString(m_TractsToDwiFilter->GetStatusText().c_str()); if (QString::compare(m_SimulationStatusText,statusText)!=0) { m_Controls->m_SimulationStatusText->clear(); m_Controls->m_SimulationStatusText->setText(statusText); QScrollBar *vScrollBar = m_Controls->m_SimulationStatusText->verticalScrollBar(); vScrollBar->triggerAction(QScrollBar::SliderToMaximum); } } // Destructor QmitkFiberfoxView::~QmitkFiberfoxView() { delete m_SimulationTimer; } void QmitkFiberfoxView::CreateQtPartControl( QWidget *parent ) { // build up qt view, unless already done if ( !m_Controls ) { // create GUI widgets from the Qt Designer's .ui file m_Controls = new Ui::QmitkFiberfoxViewControls; m_Controls->setupUi( parent ); m_Controls->m_StickWidget1->setVisible(true); m_Controls->m_StickWidget2->setVisible(false); m_Controls->m_ZeppelinWidget1->setVisible(false); m_Controls->m_ZeppelinWidget2->setVisible(false); m_Controls->m_TensorWidget1->setVisible(false); m_Controls->m_TensorWidget2->setVisible(false); m_Controls->m_BallWidget1->setVisible(true); m_Controls->m_BallWidget2->setVisible(false); m_Controls->m_BallWidget2->SetT1(4500); m_Controls->m_AstrosticksWidget1->setVisible(false); m_Controls->m_AstrosticksWidget2->setVisible(false); m_Controls->m_AstrosticksWidget2->SetT1(4500); m_Controls->m_DotWidget1->setVisible(false); m_Controls->m_DotWidget2->setVisible(false); m_Controls->m_DotWidget2->SetT1(4500); m_Controls->m_PrototypeWidget1->setVisible(false); m_Controls->m_PrototypeWidget2->setVisible(false); m_Controls->m_PrototypeWidget3->setVisible(false); m_Controls->m_PrototypeWidget4->setVisible(false); m_Controls->m_PrototypeWidget3->SetMinFa(0.0); m_Controls->m_PrototypeWidget3->SetMaxFa(0.15); m_Controls->m_PrototypeWidget4->SetMinFa(0.0); m_Controls->m_PrototypeWidget4->SetMaxFa(0.15); m_Controls->m_PrototypeWidget3->SetMinAdc(0.0); m_Controls->m_PrototypeWidget3->SetMaxAdc(0.001); m_Controls->m_PrototypeWidget4->SetMinAdc(0.003); m_Controls->m_PrototypeWidget4->SetMaxAdc(0.004); m_Controls->m_Comp2FractionFrame->setVisible(false); m_Controls->m_Comp4FractionFrame->setVisible(false); m_Controls->m_DiffusionPropsMessage->setVisible(false); m_Controls->m_GeometryMessage->setVisible(false); m_Controls->m_AdvancedSignalOptionsFrame->setVisible(false); m_Controls->m_AdvancedFiberOptionsFrame->setVisible(false); m_Controls->m_VarianceBox->setVisible(false); m_Controls->m_NoiseFrame->setVisible(false); m_Controls->m_GhostFrame->setVisible(false); m_Controls->m_DistortionsFrame->setVisible(false); m_Controls->m_EddyFrame->setVisible(false); m_Controls->m_SpikeFrame->setVisible(false); m_Controls->m_AliasingFrame->setVisible(false); m_Controls->m_MotionArtifactFrame->setVisible(false); m_ParameterFile = QDir::currentPath()+"/param.ffp"; m_Controls->m_AbortSimulationButton->setVisible(false); m_Controls->m_SimulationStatusText->setVisible(false); m_Controls->m_FrequencyMapBox->SetDataStorage(this->GetDataStorage()); m_Controls->m_Comp1VolumeFraction->SetDataStorage(this->GetDataStorage()); m_Controls->m_Comp2VolumeFraction->SetDataStorage(this->GetDataStorage()); m_Controls->m_Comp3VolumeFraction->SetDataStorage(this->GetDataStorage()); m_Controls->m_Comp4VolumeFraction->SetDataStorage(this->GetDataStorage()); m_Controls->m_MaskComboBox->SetDataStorage(this->GetDataStorage()); m_Controls->m_TemplateComboBox->SetDataStorage(this->GetDataStorage()); m_Controls->m_FiberBundleComboBox->SetDataStorage(this->GetDataStorage()); mitk::TNodePredicateDataType::Pointer isFiberBundle = mitk::TNodePredicateDataType::New(); mitk::TNodePredicateDataType::Pointer isMitkImage = mitk::TNodePredicateDataType::New(); mitk::NodePredicateIsDWI::Pointer isDwi = mitk::NodePredicateIsDWI::New( ); mitk::NodePredicateDataType::Pointer isDti = mitk::NodePredicateDataType::New("TensorImage"); mitk::NodePredicateDataType::Pointer isQbi = mitk::NodePredicateDataType::New("QBallImage"); mitk::NodePredicateOr::Pointer isDiffusionImage = mitk::NodePredicateOr::New(isDwi, isDti); isDiffusionImage = mitk::NodePredicateOr::New(isDiffusionImage, isQbi); mitk::NodePredicateNot::Pointer noDiffusionImage = mitk::NodePredicateNot::New(isDiffusionImage); mitk::NodePredicateAnd::Pointer isNonDiffMitkImage = mitk::NodePredicateAnd::New(isMitkImage, noDiffusionImage); mitk::NodePredicateProperty::Pointer isBinaryPredicate = mitk::NodePredicateProperty::New("binary", mitk::BoolProperty::New(true)); mitk::NodePredicateAnd::Pointer isBinaryMitkImage = mitk::NodePredicateAnd::New( isNonDiffMitkImage, isBinaryPredicate ); m_Controls->m_FrequencyMapBox->SetPredicate(isNonDiffMitkImage); m_Controls->m_Comp1VolumeFraction->SetPredicate(isNonDiffMitkImage); m_Controls->m_Comp1VolumeFraction->SetZeroEntryText("--"); m_Controls->m_Comp2VolumeFraction->SetPredicate(isNonDiffMitkImage); m_Controls->m_Comp2VolumeFraction->SetZeroEntryText("--"); m_Controls->m_Comp3VolumeFraction->SetPredicate(isNonDiffMitkImage); m_Controls->m_Comp3VolumeFraction->SetZeroEntryText("--"); m_Controls->m_Comp4VolumeFraction->SetPredicate(isNonDiffMitkImage); m_Controls->m_Comp4VolumeFraction->SetZeroEntryText("--"); m_Controls->m_MaskComboBox->SetPredicate(isBinaryMitkImage); m_Controls->m_MaskComboBox->SetZeroEntryText("--"); m_Controls->m_TemplateComboBox->SetPredicate(isMitkImage); m_Controls->m_TemplateComboBox->SetZeroEntryText("--"); m_Controls->m_FiberBundleComboBox->SetPredicate(isFiberBundle); m_Controls->m_FiberBundleComboBox->SetZeroEntryText("--"); QFont font; font.setFamily("Courier"); font.setStyleHint(QFont::Monospace); font.setFixedPitch(true); font.setPointSize(8); m_Controls->m_SimulationStatusText->setFont(font); connect( m_SimulationTimer, SIGNAL(timeout()), this, SLOT(UpdateSimulationStatus()) ); connect((QObject*) m_Controls->m_AbortSimulationButton, SIGNAL(clicked()), (QObject*) this, SLOT(KillThread())); connect((QObject*) m_Controls->m_GenerateImageButton, SIGNAL(clicked()), (QObject*) this, SLOT(GenerateImage())); connect((QObject*) m_Controls->m_GenerateFibersButton, SIGNAL(clicked()), (QObject*) this, SLOT(GenerateFibers())); connect((QObject*) m_Controls->m_CircleButton, SIGNAL(clicked()), (QObject*) this, SLOT(OnDrawROI())); connect((QObject*) m_Controls->m_FlipButton, SIGNAL(clicked()), (QObject*) this, SLOT(OnFlipButton())); connect((QObject*) m_Controls->m_JoinBundlesButton, SIGNAL(clicked()), (QObject*) this, SLOT(JoinBundles())); connect((QObject*) m_Controls->m_VarianceBox, SIGNAL(valueChanged(double)), (QObject*) this, SLOT(OnVarianceChanged(double))); connect((QObject*) m_Controls->m_DistributionBox, SIGNAL(currentIndexChanged(int)), (QObject*) this, SLOT(OnDistributionChanged(int))); connect((QObject*) m_Controls->m_FiberDensityBox, SIGNAL(valueChanged(int)), (QObject*) this, SLOT(OnFiberDensityChanged(int))); connect((QObject*) m_Controls->m_FiberSamplingBox, SIGNAL(valueChanged(double)), (QObject*) this, SLOT(OnFiberSamplingChanged(double))); connect((QObject*) m_Controls->m_TensionBox, SIGNAL(valueChanged(double)), (QObject*) this, SLOT(OnTensionChanged(double))); connect((QObject*) m_Controls->m_ContinuityBox, SIGNAL(valueChanged(double)), (QObject*) this, SLOT(OnContinuityChanged(double))); connect((QObject*) m_Controls->m_BiasBox, SIGNAL(valueChanged(double)), (QObject*) this, SLOT(OnBiasChanged(double))); connect((QObject*) m_Controls->m_AddNoise, SIGNAL(stateChanged(int)), (QObject*) this, SLOT(OnAddNoise(int))); connect((QObject*) m_Controls->m_AddGhosts, SIGNAL(stateChanged(int)), (QObject*) this, SLOT(OnAddGhosts(int))); connect((QObject*) m_Controls->m_AddDistortions, SIGNAL(stateChanged(int)), (QObject*) this, SLOT(OnAddDistortions(int))); connect((QObject*) m_Controls->m_AddEddy, SIGNAL(stateChanged(int)), (QObject*) this, SLOT(OnAddEddy(int))); connect((QObject*) m_Controls->m_AddSpikes, SIGNAL(stateChanged(int)), (QObject*) this, SLOT(OnAddSpikes(int))); connect((QObject*) m_Controls->m_AddAliasing, SIGNAL(stateChanged(int)), (QObject*) this, SLOT(OnAddAliasing(int))); connect((QObject*) m_Controls->m_AddMotion, SIGNAL(stateChanged(int)), (QObject*) this, SLOT(OnAddMotion(int))); connect((QObject*) m_Controls->m_ConstantRadiusBox, SIGNAL(stateChanged(int)), (QObject*) this, SLOT(OnConstantRadius(int))); connect((QObject*) m_Controls->m_CopyBundlesButton, SIGNAL(clicked()), (QObject*) this, SLOT(CopyBundles())); connect((QObject*) m_Controls->m_TransformBundlesButton, SIGNAL(clicked()), (QObject*) this, SLOT(ApplyTransform())); connect((QObject*) m_Controls->m_AlignOnGrid, SIGNAL(clicked()), (QObject*) this, SLOT(AlignOnGrid())); connect((QObject*) m_Controls->m_Compartment1Box, SIGNAL(currentIndexChanged(int)), (QObject*) this, SLOT(Comp1ModelFrameVisibility(int))); connect((QObject*) m_Controls->m_Compartment2Box, SIGNAL(currentIndexChanged(int)), (QObject*) this, SLOT(Comp2ModelFrameVisibility(int))); connect((QObject*) m_Controls->m_Compartment3Box, SIGNAL(currentIndexChanged(int)), (QObject*) this, SLOT(Comp3ModelFrameVisibility(int))); connect((QObject*) m_Controls->m_Compartment4Box, SIGNAL(currentIndexChanged(int)), (QObject*) this, SLOT(Comp4ModelFrameVisibility(int))); connect((QObject*) m_Controls->m_AdvancedOptionsBox, SIGNAL( stateChanged(int)), (QObject*) this, SLOT(ShowAdvancedOptions(int))); connect((QObject*) m_Controls->m_AdvancedOptionsBox_2, SIGNAL( stateChanged(int)), (QObject*) this, SLOT(ShowAdvancedOptions(int))); connect((QObject*) m_Controls->m_SaveParametersButton, SIGNAL(clicked()), (QObject*) this, SLOT(SaveParameters())); connect((QObject*) m_Controls->m_LoadParametersButton, SIGNAL(clicked()), (QObject*) this, SLOT(LoadParameters())); connect((QObject*) m_Controls->m_OutputPathButton, SIGNAL(clicked()), (QObject*) this, SLOT(SetOutputPath())); connect((QObject*) m_Controls->m_MaskComboBox, SIGNAL(currentIndexChanged(int)), (QObject*) this, SLOT(OnMaskSelected(int))); connect((QObject*) m_Controls->m_TemplateComboBox, SIGNAL(currentIndexChanged(int)), (QObject*) this, SLOT(OnTemplateSelected(int))); connect((QObject*) m_Controls->m_FiberBundleComboBox, SIGNAL(currentIndexChanged(int)), (QObject*) this, SLOT(OnFibSelected(int))); } } void QmitkFiberfoxView::OnMaskSelected(int ) { UpdateGui(); } void QmitkFiberfoxView::OnTemplateSelected(int ) { UpdateGui(); } void QmitkFiberfoxView::OnFibSelected(int ) { UpdateGui(); } template< class ScalarType > FiberfoxParameters< ScalarType > QmitkFiberfoxView::UpdateImageParameters(bool all, bool save) { FiberfoxParameters< ScalarType > parameters; parameters.m_Misc.m_OutputPath = ""; parameters.m_Misc.m_CheckAdvancedFiberOptionsBox = m_Controls->m_AdvancedOptionsBox->isChecked(); parameters.m_Misc.m_CheckAdvancedSignalOptionsBox = m_Controls->m_AdvancedOptionsBox_2->isChecked(); parameters.m_Misc.m_CheckOutputVolumeFractionsBox = m_Controls->m_VolumeFractionsBox->isChecked(); parameters.m_Misc.m_AfterSimulationMessage = ""; string outputPath = m_Controls->m_SavePathEdit->text().toStdString(); if (outputPath.compare("-")!=0) { parameters.m_Misc.m_OutputPath = outputPath; parameters.m_Misc.m_OutputPath += "/"; } switch(m_Controls->m_DistributionBox->currentIndex()) { case 0: parameters.m_FiberGen.m_Distribution = FiberGenerationParameters::DISTRIBUTE_UNIFORM; break; case 1: parameters.m_FiberGen.m_Distribution = FiberGenerationParameters::DISTRIBUTE_GAUSSIAN; break; default: parameters.m_FiberGen.m_Distribution = FiberGenerationParameters::DISTRIBUTE_UNIFORM; } parameters.m_FiberGen.m_Variance = m_Controls->m_VarianceBox->value(); parameters.m_FiberGen.m_Density = m_Controls->m_FiberDensityBox->value(); parameters.m_FiberGen.m_Sampling = m_Controls->m_FiberSamplingBox->value(); parameters.m_FiberGen.m_Tension = m_Controls->m_TensionBox->value(); parameters.m_FiberGen.m_Continuity = m_Controls->m_ContinuityBox->value(); parameters.m_FiberGen.m_Bias = m_Controls->m_BiasBox->value(); parameters.m_FiberGen.m_Rotation[0] = m_Controls->m_XrotBox->value(); parameters.m_FiberGen.m_Rotation[1] = m_Controls->m_YrotBox->value(); parameters.m_FiberGen.m_Rotation[2] = m_Controls->m_ZrotBox->value(); parameters.m_FiberGen.m_Translation[0] = m_Controls->m_XtransBox->value(); parameters.m_FiberGen.m_Translation[1] = m_Controls->m_YtransBox->value(); parameters.m_FiberGen.m_Translation[2] = m_Controls->m_ZtransBox->value(); parameters.m_FiberGen.m_Scale[0] = m_Controls->m_XscaleBox->value(); parameters.m_FiberGen.m_Scale[1] = m_Controls->m_YscaleBox->value(); parameters.m_FiberGen.m_Scale[2] = m_Controls->m_ZscaleBox->value(); if (!all) return parameters; if (m_Controls->m_MaskComboBox->GetSelectedNode().IsNotNull()) { mitk::Image::Pointer mitkMaskImage = dynamic_cast(m_Controls->m_MaskComboBox->GetSelectedNode()->GetData()); mitk::CastToItkImage(mitkMaskImage, parameters.m_SignalGen.m_MaskImage); itk::ImageDuplicator::Pointer duplicator = itk::ImageDuplicator::New(); duplicator->SetInputImage(parameters.m_SignalGen.m_MaskImage); duplicator->Update(); parameters.m_SignalGen.m_MaskImage = duplicator->GetOutput(); } if (m_Controls->m_TemplateComboBox->GetSelectedNode().IsNotNull() && mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( m_Controls->m_TemplateComboBox->GetSelectedNode())) // use parameters of selected DWI { mitk::Image::Pointer dwi = dynamic_cast(m_Controls->m_TemplateComboBox->GetSelectedNode()->GetData()); ItkDwiType::Pointer itkVectorImagePointer = ItkDwiType::New(); mitk::CastToItkImage(dwi, itkVectorImagePointer); parameters.m_SignalGen.m_ImageRegion = itkVectorImagePointer->GetLargestPossibleRegion(); parameters.m_SignalGen.m_ImageSpacing = itkVectorImagePointer->GetSpacing(); parameters.m_SignalGen.m_ImageOrigin = itkVectorImagePointer->GetOrigin(); parameters.m_SignalGen.m_ImageDirection = itkVectorImagePointer->GetDirection(); parameters.m_SignalGen.m_Bvalue = static_cast(dwi->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue(); parameters.m_SignalGen.SetGradienDirections(static_cast( dwi->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer()); } else if (m_Controls->m_TemplateComboBox->GetSelectedNode().IsNotNull()) // use geometry of selected image { mitk::Image::Pointer img = dynamic_cast(m_Controls->m_TemplateComboBox->GetSelectedNode()->GetData()); itk::Image< float, 3 >::Pointer itkImg = itk::Image< float, 3 >::New(); CastToItkImage< itk::Image< float, 3 > >(img, itkImg); parameters.m_SignalGen.m_ImageRegion = itkImg->GetLargestPossibleRegion(); parameters.m_SignalGen.m_ImageSpacing = itkImg->GetSpacing(); parameters.m_SignalGen.m_ImageOrigin = itkImg->GetOrigin(); parameters.m_SignalGen.m_ImageDirection = itkImg->GetDirection(); parameters.m_SignalGen.SetNumWeightedVolumes(m_Controls->m_NumGradientsBox->value()); parameters.m_SignalGen.m_Bvalue = m_Controls->m_BvalueBox->value(); } else if (parameters.m_SignalGen.m_MaskImage.IsNotNull()) // use geometry of mask image { ItkUcharImgType::Pointer itkImg = parameters.m_SignalGen.m_MaskImage; parameters.m_SignalGen.m_ImageRegion = itkImg->GetLargestPossibleRegion(); parameters.m_SignalGen.m_ImageSpacing = itkImg->GetSpacing(); parameters.m_SignalGen.m_ImageOrigin = itkImg->GetOrigin(); parameters.m_SignalGen.m_ImageDirection = itkImg->GetDirection(); parameters.m_SignalGen.SetNumWeightedVolumes(m_Controls->m_NumGradientsBox->value()); parameters.m_SignalGen.m_Bvalue = m_Controls->m_BvalueBox->value(); } else // use GUI parameters { parameters.m_SignalGen.m_ImageRegion.SetSize(0, m_Controls->m_SizeX->value()); parameters.m_SignalGen.m_ImageRegion.SetSize(1, m_Controls->m_SizeY->value()); parameters.m_SignalGen.m_ImageRegion.SetSize(2, m_Controls->m_SizeZ->value()); parameters.m_SignalGen.m_ImageSpacing[0] = m_Controls->m_SpacingX->value(); parameters.m_SignalGen.m_ImageSpacing[1] = m_Controls->m_SpacingY->value(); parameters.m_SignalGen.m_ImageSpacing[2] = m_Controls->m_SpacingZ->value(); parameters.m_SignalGen.m_ImageOrigin[0] = parameters.m_SignalGen.m_ImageSpacing[0]/2; parameters.m_SignalGen.m_ImageOrigin[1] = parameters.m_SignalGen.m_ImageSpacing[1]/2; parameters.m_SignalGen.m_ImageOrigin[2] = parameters.m_SignalGen.m_ImageSpacing[2]/2; parameters.m_SignalGen.m_ImageDirection.SetIdentity(); parameters.m_SignalGen.SetNumWeightedVolumes(m_Controls->m_NumGradientsBox->value()); parameters.m_SignalGen.m_Bvalue = m_Controls->m_BvalueBox->value(); parameters.m_SignalGen.GenerateGradientHalfShell(); } // signal relaxation parameters.m_SignalGen.m_DoSimulateRelaxation = false; if (m_Controls->m_RelaxationBox->isChecked() && (m_Controls->m_FiberBundleComboBox->GetSelectedNode().IsNotNull() || save) ) { parameters.m_SignalGen.m_DoSimulateRelaxation = true; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Relaxation", BoolProperty::New(true)); parameters.m_Misc.m_ArtifactModelString += "_RELAX"; } parameters.m_SignalGen.m_SimulateKspaceAcquisition = parameters.m_SignalGen.m_DoSimulateRelaxation; // N/2 ghosts parameters.m_Misc.m_CheckAddGhostsBox = m_Controls->m_AddGhosts->isChecked(); if (m_Controls->m_AddGhosts->isChecked()) { parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; parameters.m_Misc.m_ArtifactModelString += "_GHOST"; parameters.m_SignalGen.m_KspaceLineOffset = m_Controls->m_kOffsetBox->value(); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Ghost", DoubleProperty::New(parameters.m_SignalGen.m_KspaceLineOffset)); } else parameters.m_SignalGen.m_KspaceLineOffset = 0; // Aliasing parameters.m_Misc.m_CheckAddAliasingBox = m_Controls->m_AddAliasing->isChecked(); if (m_Controls->m_AddAliasing->isChecked()) { parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; parameters.m_Misc.m_ArtifactModelString += "_ALIASING"; parameters.m_SignalGen.m_CroppingFactor = (100-m_Controls->m_WrapBox->value())/100; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Aliasing", DoubleProperty::New(m_Controls->m_WrapBox->value())); } // Spikes parameters.m_Misc.m_CheckAddSpikesBox = m_Controls->m_AddSpikes->isChecked(); if (m_Controls->m_AddSpikes->isChecked()) { parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; parameters.m_SignalGen.m_Spikes = m_Controls->m_SpikeNumBox->value(); parameters.m_SignalGen.m_SpikeAmplitude = m_Controls->m_SpikeScaleBox->value(); parameters.m_Misc.m_ArtifactModelString += "_SPIKES"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Spikes.Number", IntProperty::New(parameters.m_SignalGen.m_Spikes)); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Spikes.Amplitude", DoubleProperty::New(parameters.m_SignalGen.m_SpikeAmplitude)); } // gibbs ringing parameters.m_SignalGen.m_DoAddGibbsRinging = m_Controls->m_AddGibbsRinging->isChecked(); if (m_Controls->m_AddGibbsRinging->isChecked()) { parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Ringing", BoolProperty::New(true)); parameters.m_Misc.m_ArtifactModelString += "_RINGING"; } // add distortions parameters.m_Misc.m_CheckAddDistortionsBox = m_Controls->m_AddDistortions->isChecked(); if (m_Controls->m_AddDistortions->isChecked() && m_Controls->m_FrequencyMapBox->GetSelectedNode().IsNotNull()) { mitk::DataNode::Pointer fMapNode = m_Controls->m_FrequencyMapBox->GetSelectedNode(); mitk::Image* img = dynamic_cast(fMapNode->GetData()); ItkDoubleImgType::Pointer itkImg = ItkDoubleImgType::New(); CastToItkImage< ItkDoubleImgType >(img, itkImg); if (m_Controls->m_TemplateComboBox->GetSelectedNode().IsNull()) // use geometry of frequency map { parameters.m_SignalGen.m_ImageRegion = itkImg->GetLargestPossibleRegion(); parameters.m_SignalGen.m_ImageSpacing = itkImg->GetSpacing(); parameters.m_SignalGen.m_ImageOrigin = itkImg->GetOrigin(); parameters.m_SignalGen.m_ImageDirection = itkImg->GetDirection(); } if (parameters.m_SignalGen.m_ImageRegion.GetSize(0)==itkImg->GetLargestPossibleRegion().GetSize(0) && parameters.m_SignalGen.m_ImageRegion.GetSize(1)==itkImg->GetLargestPossibleRegion().GetSize(1) && parameters.m_SignalGen.m_ImageRegion.GetSize(2)==itkImg->GetLargestPossibleRegion().GetSize(2)) { parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; itk::ImageDuplicator::Pointer duplicator = itk::ImageDuplicator::New(); duplicator->SetInputImage(itkImg); duplicator->Update(); parameters.m_SignalGen.m_FrequencyMap = duplicator->GetOutput(); parameters.m_Misc.m_ArtifactModelString += "_DISTORTED"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Distortions", BoolProperty::New(true)); } } parameters.m_SignalGen.m_EddyStrength = 0; parameters.m_Misc.m_CheckAddEddyCurrentsBox = m_Controls->m_AddEddy->isChecked(); if (m_Controls->m_AddEddy->isChecked()) { parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; parameters.m_SignalGen.m_EddyStrength = m_Controls->m_EddyGradientStrength->value(); parameters.m_Misc.m_ArtifactModelString += "_EDDY"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Eddy-strength", DoubleProperty::New(parameters.m_SignalGen.m_EddyStrength)); } // Motion parameters.m_SignalGen.m_DoAddMotion = false; parameters.m_SignalGen.m_DoRandomizeMotion = m_Controls->m_RandomMotion->isChecked(); parameters.m_SignalGen.m_Translation[0] = m_Controls->m_MaxTranslationBoxX->value(); parameters.m_SignalGen.m_Translation[1] = m_Controls->m_MaxTranslationBoxY->value(); parameters.m_SignalGen.m_Translation[2] = m_Controls->m_MaxTranslationBoxZ->value(); parameters.m_SignalGen.m_Rotation[0] = m_Controls->m_MaxRotationBoxX->value(); parameters.m_SignalGen.m_Rotation[1] = m_Controls->m_MaxRotationBoxY->value(); parameters.m_SignalGen.m_Rotation[2] = m_Controls->m_MaxRotationBoxZ->value(); parameters.m_SignalGen.m_MotionVolumes.clear(); parameters.m_Misc.m_MotionVolumesBox = m_Controls->m_MotionVolumesBox->text().toStdString(); if ( m_Controls->m_AddMotion->isChecked() && (m_Controls->m_FiberBundleComboBox->GetSelectedNode().IsNotNull() || save) ) { parameters.m_SignalGen.m_DoAddMotion = true; parameters.m_Misc.m_ArtifactModelString += "_MOTION"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Motion.Random", BoolProperty::New(parameters.m_SignalGen.m_DoRandomizeMotion)); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Motion.Translation-x", DoubleProperty::New(parameters.m_SignalGen.m_Translation[0])); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Motion.Translation-y", DoubleProperty::New(parameters.m_SignalGen.m_Translation[1])); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Motion.Translation-z", DoubleProperty::New(parameters.m_SignalGen.m_Translation[2])); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Motion.Rotation-x", DoubleProperty::New(parameters.m_SignalGen.m_Rotation[0])); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Motion.Rotation-y", DoubleProperty::New(parameters.m_SignalGen.m_Rotation[1])); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Motion.Rotation-z", DoubleProperty::New(parameters.m_SignalGen.m_Rotation[2])); if ( parameters.m_Misc.m_MotionVolumesBox == "random" ) { for ( size_t i=0; i < parameters.m_SignalGen.GetNumVolumes(); ++i ) { parameters.m_SignalGen.m_MotionVolumes.push_back( bool( rand()%2 ) ); } MITK_DEBUG << "QmitkFiberfoxView.cpp: Case m_Misc.m_MotionVolumesBox == \"random\"."; } else if ( ! parameters.m_Misc.m_MotionVolumesBox.empty() ) { stringstream stream( parameters.m_Misc.m_MotionVolumesBox ); std::vector numbers; int number = std::numeric_limits::max(); while( stream >> number ) { if( number < std::numeric_limits::max() ) { numbers.push_back( number ); } } // If a list of negative numbers is given: if( *(std::min_element( numbers.begin(), numbers.end() )) < 0 && *(std::max_element( numbers.begin(), numbers.end() )) <= 0 ) // cave: -0 == +0 { for ( size_t i=0; i < parameters.m_SignalGen.GetNumVolumes(); ++i ) { parameters.m_SignalGen.m_MotionVolumes.push_back( true ); } // set all true except those given. for( auto iter = std::begin( numbers ); iter != std::end( numbers ); ++iter ) { if ( -(*iter) < (int)parameters.m_SignalGen.GetNumVolumes() && -(*iter) >= 0 ) { parameters.m_SignalGen.m_MotionVolumes.at( -(*iter) ) = false; } } MITK_DEBUG << "QmitkFiberfoxView.cpp: Case list of negative numbers."; } // If a list of positive numbers is given: else if( *(std::min_element( numbers.begin(), numbers.end() )) >= 0 && *(std::max_element( numbers.begin(), numbers.end() )) >= 0 ) { for ( size_t i=0; i < parameters.m_SignalGen.GetNumVolumes(); ++i ) { parameters.m_SignalGen.m_MotionVolumes.push_back( false ); } // set all false except those given. for( auto iter = std::begin( numbers ); iter != std::end( numbers ); ++iter ) { if ( *iter < (int)parameters.m_SignalGen.GetNumVolumes() && *iter >= 0 ) { parameters.m_SignalGen.m_MotionVolumes.at( *iter ) = true; } } MITK_DEBUG << "QmitkFiberfoxView.cpp: Case list of positive numbers."; } else { MITK_ERROR << "QmitkFiberfoxView.cpp: Inconsistent list of numbers in m_MotionVolumesBox."; } } else { MITK_WARN << "QmitkFiberfoxView.cpp: Unrecognised parameters.m_Misc.m_MotionVolumesBox: " << parameters.m_Misc.m_MotionVolumesBox; parameters.m_Misc.m_MotionVolumesBox = "random"; // set default. for (unsigned int i=0; im_AcquisitionTypeBox->currentIndex(); parameters.m_SignalGen.m_CoilSensitivityProfile = (SignalGenerationParameters::CoilSensitivityProfile)m_Controls->m_CoilSensBox->currentIndex(); parameters.m_SignalGen.m_NumberOfCoils = m_Controls->m_NumCoilsBox->value(); parameters.m_SignalGen.m_PartialFourier = m_Controls->m_PartialFourier->value(); parameters.m_SignalGen.m_ReversePhase = m_Controls->m_ReversePhaseBox->isChecked(); parameters.m_SignalGen.m_tLine = m_Controls->m_LineReadoutTimeBox->value(); parameters.m_SignalGen.m_tInhom = m_Controls->m_T2starBox->value(); parameters.m_SignalGen.m_tEcho = m_Controls->m_TEbox->value(); parameters.m_SignalGen.m_tRep = m_Controls->m_TRbox->value(); parameters.m_SignalGen.m_DoDisablePartialVolume = m_Controls->m_EnforcePureFiberVoxelsBox->isChecked(); parameters.m_SignalGen.m_AxonRadius = m_Controls->m_FiberRadius->value(); parameters.m_SignalGen.m_SignalScale = m_Controls->m_SignalScaleBox->value(); double voxelVolume = parameters.m_SignalGen.m_ImageSpacing[0] * parameters.m_SignalGen.m_ImageSpacing[1] * parameters.m_SignalGen.m_ImageSpacing[2]; if ( parameters.m_SignalGen.m_SignalScale*voxelVolume > itk::NumericTraits::max()*0.75 ) { parameters.m_SignalGen.m_SignalScale = itk::NumericTraits::max()*0.75/voxelVolume; m_Controls->m_SignalScaleBox->setValue(parameters.m_SignalGen.m_SignalScale); QMessageBox::information( nullptr, "Warning", "Maximum signal exceeding data type limits. Automatically adjusted to " + QString::number(parameters.m_SignalGen.m_SignalScale) + " to obtain a maximum signal of 75% of the data type maximum." " Relaxation and other effects that affect the signal intensities are not accounted for."); } // Noise parameters.m_Misc.m_CheckAddNoiseBox = m_Controls->m_AddNoise->isChecked(); parameters.m_SignalGen.m_NoiseVariance = 0; if (m_Controls->m_AddNoise->isChecked()) { double noiseVariance = m_Controls->m_NoiseLevel->value(); switch (m_Controls->m_NoiseDistributionBox->currentIndex()) { case 0: { if (noiseVariance>0) { parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; parameters.m_Misc.m_ArtifactModelString += "_COMPLEX-GAUSSIAN-"; parameters.m_SignalGen.m_NoiseVariance = m_Controls->m_NoiseLevel->value(); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Noise-Distribution", StringProperty::New("Complex Gaussian")); } break; } case 1: { if (noiseVariance>0) { parameters.m_NoiseModel = std::make_shared< mitk::RicianNoiseModel >(); parameters.m_Misc.m_ArtifactModelString += "_RICIAN-"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Noise-Distribution", StringProperty::New("Rician")); parameters.m_NoiseModel->SetNoiseVariance(noiseVariance); } break; } case 2: { if (noiseVariance>0) { parameters.m_NoiseModel = std::make_shared< mitk::ChiSquareNoiseModel >(); parameters.m_Misc.m_ArtifactModelString += "_CHISQUARED-"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Noise-Distribution", StringProperty::New("Chi-squared")); parameters.m_NoiseModel->SetNoiseVariance(noiseVariance); } break; } default: { if (noiseVariance>0) { parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; parameters.m_Misc.m_ArtifactModelString += "_COMPLEX-GAUSSIAN-"; parameters.m_SignalGen.m_NoiseVariance = m_Controls->m_NoiseLevel->value(); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Noise-Distribution", StringProperty::New("Complex Gaussian")); } break; } } if (noiseVariance>0) { parameters.m_Misc.m_ArtifactModelString += QString::number(noiseVariance).toStdString(); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Noise-Variance", DoubleProperty::New(noiseVariance)); } } // signal models { // compartment 1 switch (m_Controls->m_Compartment1Box->currentIndex()) { case 0: { mitk::StickModel* model = new mitk::StickModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(parameters.m_SignalGen.m_Bvalue); model->SetDiffusivity(m_Controls->m_StickWidget1->GetD()); model->SetT2(m_Controls->m_StickWidget1->GetT2()); model->SetT1(m_Controls->m_StickWidget1->GetT1()); model->m_CompartmentId = 1; parameters.m_FiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Stick"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Description", StringProperty::New("Intra-axonal compartment") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Model", StringProperty::New("Stick") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.D", DoubleProperty::New(m_Controls->m_StickWidget1->GetD()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.T2", DoubleProperty::New(model->GetT2()) ); break; } case 1: { mitk::TensorModel* model = new mitk::TensorModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(parameters.m_SignalGen.m_Bvalue); model->SetDiffusivity1(m_Controls->m_ZeppelinWidget1->GetD1()); model->SetDiffusivity2(m_Controls->m_ZeppelinWidget1->GetD2()); model->SetDiffusivity3(m_Controls->m_ZeppelinWidget1->GetD2()); model->SetT2(m_Controls->m_ZeppelinWidget1->GetT2()); model->SetT1(m_Controls->m_ZeppelinWidget1->GetT1()); model->m_CompartmentId = 1; parameters.m_FiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Zeppelin"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Description", StringProperty::New("Intra-axonal compartment") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Model", StringProperty::New("Zeppelin") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.D1", DoubleProperty::New(m_Controls->m_ZeppelinWidget1->GetD1()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.D2", DoubleProperty::New(m_Controls->m_ZeppelinWidget1->GetD2()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.T2", DoubleProperty::New(model->GetT2()) ); break; } case 2: { mitk::TensorModel* model = new mitk::TensorModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(parameters.m_SignalGen.m_Bvalue); model->SetDiffusivity1(m_Controls->m_TensorWidget1->GetD1()); model->SetDiffusivity2(m_Controls->m_TensorWidget1->GetD2()); model->SetDiffusivity3(m_Controls->m_TensorWidget1->GetD3()); model->SetT2(m_Controls->m_TensorWidget1->GetT2()); model->SetT1(m_Controls->m_TensorWidget1->GetT1()); model->m_CompartmentId = 1; parameters.m_FiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Tensor"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Description", StringProperty::New("Intra-axonal compartment") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Model", StringProperty::New("Tensor") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.D1", DoubleProperty::New(m_Controls->m_TensorWidget1->GetD1()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.D2", DoubleProperty::New(m_Controls->m_TensorWidget1->GetD2()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.D3", DoubleProperty::New(m_Controls->m_TensorWidget1->GetD3()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.T2", DoubleProperty::New(model->GetT2()) ); break; } case 3: { mitk::RawShModel* model = new mitk::RawShModel(); parameters.m_SignalGen.m_DoSimulateRelaxation = false; model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetMaxNumKernels(m_Controls->m_PrototypeWidget1->GetNumberOfSamples()); model->SetFaRange(m_Controls->m_PrototypeWidget1->GetMinFa(), m_Controls->m_PrototypeWidget1->GetMaxFa()); model->SetAdcRange(m_Controls->m_PrototypeWidget1->GetMinAdc(), m_Controls->m_PrototypeWidget1->GetMaxAdc()); model->m_CompartmentId = 1; parameters.m_FiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Prototype"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Description", StringProperty::New("Intra-axonal compartment") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Model", StringProperty::New("Prototype") ); break; } } if (m_Controls->m_Comp1VolumeFraction->GetSelectedNode().IsNotNull()) { mitk::DataNode::Pointer volumeNode = m_Controls->m_Comp1VolumeFraction->GetSelectedNode(); ItkDoubleImgType::Pointer comp1VolumeImage = ItkDoubleImgType::New(); mitk::Image* img = dynamic_cast(volumeNode->GetData()); CastToItkImage< ItkDoubleImgType >(img, comp1VolumeImage); parameters.m_FiberModelList.back()->SetVolumeFractionImage(comp1VolumeImage); } // compartment 2 switch (m_Controls->m_Compartment2Box->currentIndex()) { case 0: break; case 1: { mitk::StickModel* model = new mitk::StickModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(parameters.m_SignalGen.m_Bvalue); model->SetDiffusivity(m_Controls->m_StickWidget2->GetD()); model->SetT2(m_Controls->m_StickWidget2->GetT2()); model->SetT1(m_Controls->m_StickWidget2->GetT1()); model->m_CompartmentId = 2; parameters.m_FiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Stick"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.Description", StringProperty::New("Inter-axonal compartment") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.Model", StringProperty::New("Stick") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.D", DoubleProperty::New(m_Controls->m_StickWidget2->GetD()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.T2", DoubleProperty::New(model->GetT2()) ); break; } case 2: { mitk::TensorModel* model = new mitk::TensorModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(parameters.m_SignalGen.m_Bvalue); model->SetDiffusivity1(m_Controls->m_ZeppelinWidget2->GetD1()); model->SetDiffusivity2(m_Controls->m_ZeppelinWidget2->GetD2()); model->SetDiffusivity3(m_Controls->m_ZeppelinWidget2->GetD2()); model->SetT2(m_Controls->m_ZeppelinWidget2->GetT2()); model->SetT1(m_Controls->m_ZeppelinWidget2->GetT1()); model->m_CompartmentId = 2; parameters.m_FiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Zeppelin"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.Description", StringProperty::New("Inter-axonal compartment") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.Model", StringProperty::New("Zeppelin") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.D1", DoubleProperty::New(m_Controls->m_ZeppelinWidget2->GetD1()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.D2", DoubleProperty::New(m_Controls->m_ZeppelinWidget2->GetD2()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.T2", DoubleProperty::New(model->GetT2()) ); break; } case 3: { mitk::TensorModel* model = new mitk::TensorModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(parameters.m_SignalGen.m_Bvalue); model->SetDiffusivity1(m_Controls->m_TensorWidget2->GetD1()); model->SetDiffusivity2(m_Controls->m_TensorWidget2->GetD2()); model->SetDiffusivity3(m_Controls->m_TensorWidget2->GetD3()); model->SetT2(m_Controls->m_TensorWidget2->GetT2()); model->SetT1(m_Controls->m_TensorWidget2->GetT1()); model->m_CompartmentId = 2; parameters.m_FiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Tensor"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.Description", StringProperty::New("Inter-axonal compartment") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.Model", StringProperty::New("Tensor") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.D1", DoubleProperty::New(m_Controls->m_TensorWidget2->GetD1()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.D2", DoubleProperty::New(m_Controls->m_TensorWidget2->GetD2()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.D3", DoubleProperty::New(m_Controls->m_TensorWidget2->GetD3()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.T2", DoubleProperty::New(model->GetT2()) ); break; } } if (m_Controls->m_Comp2VolumeFraction->GetSelectedNode().IsNotNull() && parameters.m_FiberModelList.size()==2) { mitk::DataNode::Pointer volumeNode = m_Controls->m_Comp2VolumeFraction->GetSelectedNode(); ItkDoubleImgType::Pointer comp1VolumeImage = ItkDoubleImgType::New(); mitk::Image* img = dynamic_cast(volumeNode->GetData()); CastToItkImage< ItkDoubleImgType >(img, comp1VolumeImage); parameters.m_FiberModelList.back()->SetVolumeFractionImage(comp1VolumeImage); } // compartment 3 switch (m_Controls->m_Compartment3Box->currentIndex()) { case 0: { mitk::BallModel* model = new mitk::BallModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(parameters.m_SignalGen.m_Bvalue); model->SetDiffusivity(m_Controls->m_BallWidget1->GetD()); model->SetT2(m_Controls->m_BallWidget1->GetT2()); model->SetT1(m_Controls->m_BallWidget1->GetT1()); model->m_CompartmentId = 3; parameters.m_NonFiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Ball"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Description", StringProperty::New("Extra-axonal compartment 1") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Model", StringProperty::New("Ball") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.D", DoubleProperty::New(m_Controls->m_BallWidget1->GetD()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.T2", DoubleProperty::New(model->GetT2()) ); break; } case 1: { mitk::AstroStickModel* model = new mitk::AstroStickModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(parameters.m_SignalGen.m_Bvalue); model->SetDiffusivity(m_Controls->m_AstrosticksWidget1->GetD()); model->SetT2(m_Controls->m_AstrosticksWidget1->GetT2()); model->SetT1(m_Controls->m_AstrosticksWidget1->GetT1()); model->SetRandomizeSticks(m_Controls->m_AstrosticksWidget1->GetRandomizeSticks()); model->m_CompartmentId = 3; parameters.m_NonFiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Astrosticks"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Description", StringProperty::New("Extra-axonal compartment 1") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Model", StringProperty::New("Astrosticks") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.D", DoubleProperty::New(m_Controls->m_AstrosticksWidget1->GetD()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.T2", DoubleProperty::New(model->GetT2()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.RandomSticks", BoolProperty::New(m_Controls->m_AstrosticksWidget1->GetRandomizeSticks()) ); break; } case 2: { mitk::DotModel* model = new mitk::DotModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetT2(m_Controls->m_DotWidget1->GetT2()); model->SetT1(m_Controls->m_DotWidget1->GetT1()); model->m_CompartmentId = 3; parameters.m_NonFiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Dot"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Description", StringProperty::New("Extra-axonal compartment 1") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Model", StringProperty::New("Dot") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.T2", DoubleProperty::New(model->GetT2()) ); break; } case 3: { mitk::RawShModel* model = new mitk::RawShModel(); parameters.m_SignalGen.m_DoSimulateRelaxation = false; model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetMaxNumKernels(m_Controls->m_PrototypeWidget3->GetNumberOfSamples()); model->SetFaRange(m_Controls->m_PrototypeWidget3->GetMinFa(), m_Controls->m_PrototypeWidget3->GetMaxFa()); model->SetAdcRange(m_Controls->m_PrototypeWidget3->GetMinAdc(), m_Controls->m_PrototypeWidget3->GetMaxAdc()); model->m_CompartmentId = 3; parameters.m_NonFiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Prototype"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Description", StringProperty::New("Extra-axonal compartment 1") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Model", StringProperty::New("Prototype") ); break; } } if (m_Controls->m_Comp3VolumeFraction->GetSelectedNode().IsNotNull()) { mitk::DataNode::Pointer volumeNode = m_Controls->m_Comp3VolumeFraction->GetSelectedNode(); ItkDoubleImgType::Pointer comp1VolumeImage = ItkDoubleImgType::New(); mitk::Image* img = dynamic_cast(volumeNode->GetData()); CastToItkImage< ItkDoubleImgType >(img, comp1VolumeImage); parameters.m_NonFiberModelList.back()->SetVolumeFractionImage(comp1VolumeImage); } switch (m_Controls->m_Compartment4Box->currentIndex()) { case 0: break; case 1: { mitk::BallModel* model = new mitk::BallModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(parameters.m_SignalGen.m_Bvalue); model->SetDiffusivity(m_Controls->m_BallWidget2->GetD()); model->SetT2(m_Controls->m_BallWidget2->GetT2()); model->SetT1(m_Controls->m_BallWidget2->GetT1()); model->m_CompartmentId = 4; parameters.m_NonFiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Ball"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Description", StringProperty::New("Extra-axonal compartment 2") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Model", StringProperty::New("Ball") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.D", DoubleProperty::New(m_Controls->m_BallWidget2->GetD()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.T2", DoubleProperty::New(model->GetT2()) ); break; } case 2: { mitk::AstroStickModel* model = new mitk::AstroStickModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(parameters.m_SignalGen.m_Bvalue); model->SetDiffusivity(m_Controls->m_AstrosticksWidget2->GetD()); model->SetT2(m_Controls->m_AstrosticksWidget2->GetT2()); model->SetT1(m_Controls->m_AstrosticksWidget2->GetT1()); model->SetRandomizeSticks(m_Controls->m_AstrosticksWidget2->GetRandomizeSticks()); model->m_CompartmentId = 4; parameters.m_NonFiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Astrosticks"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Description", StringProperty::New("Extra-axonal compartment 2") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Model", StringProperty::New("Astrosticks") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.D", DoubleProperty::New(m_Controls->m_AstrosticksWidget2->GetD()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.T2", DoubleProperty::New(model->GetT2()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.RandomSticks", BoolProperty::New(m_Controls->m_AstrosticksWidget2->GetRandomizeSticks()) ); break; } case 3: { mitk::DotModel* model = new mitk::DotModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetT2(m_Controls->m_DotWidget2->GetT2()); model->SetT1(m_Controls->m_DotWidget2->GetT1()); model->m_CompartmentId = 4; parameters.m_NonFiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Dot"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Description", StringProperty::New("Extra-axonal compartment 2") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Model", StringProperty::New("Dot") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.T2", DoubleProperty::New(model->GetT2()) ); break; } case 4: { mitk::RawShModel* model = new mitk::RawShModel(); parameters.m_SignalGen.m_DoSimulateRelaxation = false; model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetMaxNumKernels(m_Controls->m_PrototypeWidget4->GetNumberOfSamples()); model->SetFaRange(m_Controls->m_PrototypeWidget4->GetMinFa(), m_Controls->m_PrototypeWidget4->GetMaxFa()); model->SetAdcRange(m_Controls->m_PrototypeWidget4->GetMinAdc(), m_Controls->m_PrototypeWidget4->GetMaxAdc()); model->m_CompartmentId = 4; parameters.m_NonFiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Prototype"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Description", StringProperty::New("Extra-axonal compartment 2") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Model", StringProperty::New("Prototype") ); break; } } if (m_Controls->m_Comp4VolumeFraction->GetSelectedNode().IsNotNull() && parameters.m_NonFiberModelList.size()==2) { mitk::DataNode::Pointer volumeNode = m_Controls->m_Comp4VolumeFraction->GetSelectedNode(); ItkDoubleImgType::Pointer compVolumeImage = ItkDoubleImgType::New(); mitk::Image* img = dynamic_cast(volumeNode->GetData()); CastToItkImage< ItkDoubleImgType >(img, compVolumeImage); parameters.m_NonFiberModelList.back()->SetVolumeFractionImage(compVolumeImage); } } parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.SignalScale", IntProperty::New(parameters.m_SignalGen.m_SignalScale)); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.FiberRadius", IntProperty::New(parameters.m_SignalGen.m_AxonRadius)); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Tinhom", DoubleProperty::New(parameters.m_SignalGen.m_tInhom)); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Tline", DoubleProperty::New(parameters.m_SignalGen.m_tLine)); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.TE", DoubleProperty::New(parameters.m_SignalGen.m_tEcho)); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.b-value", DoubleProperty::New(parameters.m_SignalGen.m_Bvalue)); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.NoPartialVolume", BoolProperty::New(parameters.m_SignalGen.m_DoDisablePartialVolume)); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Relaxation", BoolProperty::New(parameters.m_SignalGen.m_DoSimulateRelaxation)); parameters.m_Misc.m_ResultNode->AddProperty("binary", BoolProperty::New(false)); parameters.m_Misc.m_CheckRealTimeFibersBox = m_Controls->m_RealTimeFibers->isChecked(); parameters.m_Misc.m_CheckAdvancedFiberOptionsBox = m_Controls->m_AdvancedOptionsBox->isChecked(); parameters.m_Misc.m_CheckIncludeFiducialsBox = m_Controls->m_IncludeFiducials->isChecked(); parameters.m_Misc.m_CheckConstantRadiusBox = m_Controls->m_ConstantRadiusBox->isChecked(); return parameters; } void QmitkFiberfoxView::SaveParameters(QString filename) { FiberfoxParameters<> ffParamaters = UpdateImageParameters(true, true); std::vector< int > bVals = ffParamaters.m_SignalGen.GetBvalues(); std::cout << "b-values: "; for (auto v : bVals) std::cout << v << " "; std::cout << std::endl; bool ok = true; bool first = true; bool dosampling = false; mitk::Image::Pointer diffImg = nullptr; itk::Image< itk::DiffusionTensor3D< double >, 3 >::Pointer tensorImage = nullptr; const int shOrder = 2; typedef itk::AnalyticalDiffusionQballReconstructionImageFilter QballFilterType; QballFilterType::CoefficientImageType::Pointer itkFeatureImage = nullptr; ItkDoubleImgType::Pointer adcImage = nullptr; for (unsigned int i=0; i* model = nullptr; if (i* >(ffParamaters.m_FiberModelList.at(i)); } else { model = dynamic_cast< mitk::RawShModel<>* >(ffParamaters.m_NonFiberModelList.at(i-ffParamaters.m_FiberModelList.size())); } if ( model!=nullptr && model->GetNumberOfKernels() <= 0 ) { if (first==true) { if ( QMessageBox::question(nullptr, "Prototype signal sampling", "Do you want to sample prototype signals from the selected diffusion-weighted imag and save them?", QMessageBox::Yes, QMessageBox::No) == QMessageBox::Yes ) dosampling = true; first = false; if ( dosampling && (m_Controls->m_TemplateComboBox->GetSelectedNode().IsNull() || !mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( dynamic_cast(m_Controls->m_TemplateComboBox->GetSelectedNode()->GetData()) ) ) ) { QMessageBox::information(nullptr, "Parameter file not saved", "No diffusion-weighted image selected to sample signal from."); return; } else if (dosampling) { diffImg = dynamic_cast(m_Controls->m_TemplateComboBox->GetSelectedNode()->GetData()); typedef itk::DiffusionTensor3DReconstructionImageFilter< short, short, double > TensorReconstructionImageFilterType; TensorReconstructionImageFilterType::Pointer filter = TensorReconstructionImageFilterType::New(); ItkDwiType::Pointer itkVectorImagePointer = ItkDwiType::New(); mitk::CastToItkImage(diffImg, itkVectorImagePointer); filter->SetBValue( static_cast ( diffImg->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str() ).GetPointer() ) ->GetValue() ); filter->SetGradientImage( static_cast ( diffImg->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() ) ->GetGradientDirectionsContainer(), itkVectorImagePointer ); filter->Update(); tensorImage = filter->GetOutput(); QballFilterType::Pointer qballfilter = QballFilterType::New(); qballfilter->SetBValue( static_cast ( diffImg->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() ) ->GetValue() ); qballfilter->SetGradientImage( static_cast ( diffImg->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() ) ->GetGradientDirectionsContainer(), itkVectorImagePointer ); qballfilter->SetLambda(0.006); qballfilter->SetNormalizationMethod(QballFilterType::QBAR_RAW_SIGNAL); qballfilter->Update(); itkFeatureImage = qballfilter->GetCoefficientImage(); itk::AdcImageFilter< short, double >::Pointer adcFilter = itk::AdcImageFilter< short, double >::New(); adcFilter->SetInput( itkVectorImagePointer ); adcFilter->SetGradientDirections( static_cast ( diffImg->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() ) ->GetGradientDirectionsContainer() ); adcFilter->SetB_value( static_cast (diffImg->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() ) ->GetValue() ); adcFilter->Update(); adcImage = adcFilter->GetOutput(); } } typedef itk::DiffusionTensor3DReconstructionImageFilter< short, short, double > TensorReconstructionImageFilterType; TensorReconstructionImageFilterType::Pointer filter = TensorReconstructionImageFilterType::New(); ItkDwiType::Pointer itkVectorImagePointer = ItkDwiType::New(); mitk::CastToItkImage(diffImg, itkVectorImagePointer); filter->SetBValue( static_cast (diffImg->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() ) ->GetValue() ); filter->SetGradientImage( static_cast ( diffImg->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() ) ->GetGradientDirectionsContainer(), itkVectorImagePointer ); filter->Update(); tensorImage = filter->GetOutput(); QballFilterType::Pointer qballfilter = QballFilterType::New(); qballfilter->SetBValue( static_cast (diffImg->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() ) ->GetValue() ); qballfilter->SetGradientImage( static_cast ( diffImg->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() ) ->GetGradientDirectionsContainer(), itkVectorImagePointer ); qballfilter->SetLambda(0.006); qballfilter->SetNormalizationMethod(QballFilterType::QBAR_RAW_SIGNAL); qballfilter->Update(); itkFeatureImage = qballfilter->GetCoefficientImage(); itk::AdcImageFilter< short, double >::Pointer adcFilter = itk::AdcImageFilter< short, double >::New(); adcFilter->SetInput( itkVectorImagePointer ); adcFilter->SetGradientDirections( static_cast ( diffImg->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() ) ->GetGradientDirectionsContainer() ); adcFilter->SetB_value( static_cast (diffImg->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() ) ->GetValue() ); adcFilter->Update(); adcImage = adcFilter->GetOutput(); if (dosampling && diffImg.IsNotNull()) { ok = model->SampleKernels(diffImg, ffParamaters.m_SignalGen.m_MaskImage, tensorImage, itkFeatureImage, adcImage); if (!ok) { QMessageBox::information( nullptr, "Parameter file not saved", "No valid prototype signals could be sampled."); return; } } } } ffParamaters.SaveParameters(filename.toStdString()); m_ParameterFile = filename; } void QmitkFiberfoxView::SaveParameters() { QString filename = QFileDialog::getSaveFileName( 0, tr("Save Parameters"), m_ParameterFile, tr("Fiberfox Parameters (*.ffp)") ); SaveParameters(filename); } void QmitkFiberfoxView::LoadParameters() { QString filename = QFileDialog::getOpenFileName(0, tr("Load Parameters"), QString(itksys::SystemTools::GetFilenamePath(m_ParameterFile.toStdString()).c_str()), tr("Fiberfox Parameters (*.ffp)") ); if(filename.isEmpty() || filename.isNull()) return; m_ParameterFile = filename; FiberfoxParameters<> parameters = UpdateImageParameters(); parameters.LoadParameters(filename.toStdString()); if (parameters.m_MissingTags.size()>0) { QString missing("Parameter file might be corrupted. The following parameters could not be read: "); missing += QString(parameters.m_MissingTags.c_str()); missing += "\nDefault values have been assigned to the missing parameters."; QMessageBox::information( nullptr, "Warning!", missing); } m_Controls->m_RealTimeFibers->setChecked(parameters.m_Misc.m_CheckRealTimeFibersBox); m_Controls->m_AdvancedOptionsBox->setChecked(parameters.m_Misc.m_CheckAdvancedFiberOptionsBox); m_Controls->m_IncludeFiducials->setChecked(parameters.m_Misc.m_CheckIncludeFiducialsBox); m_Controls->m_ConstantRadiusBox->setChecked(parameters.m_Misc.m_CheckConstantRadiusBox); m_Controls->m_DistributionBox->setCurrentIndex(parameters.m_FiberGen.m_Distribution); m_Controls->m_VarianceBox->setValue(parameters.m_FiberGen.m_Variance); m_Controls->m_FiberDensityBox->setValue(parameters.m_FiberGen.m_Density); m_Controls->m_FiberSamplingBox->setValue(parameters.m_FiberGen.m_Sampling); m_Controls->m_TensionBox->setValue(parameters.m_FiberGen.m_Tension); m_Controls->m_ContinuityBox->setValue(parameters.m_FiberGen.m_Continuity); m_Controls->m_BiasBox->setValue(parameters.m_FiberGen.m_Bias); m_Controls->m_XrotBox->setValue(parameters.m_FiberGen.m_Rotation[0]); m_Controls->m_YrotBox->setValue(parameters.m_FiberGen.m_Rotation[1]); m_Controls->m_ZrotBox->setValue(parameters.m_FiberGen.m_Rotation[2]); m_Controls->m_XtransBox->setValue(parameters.m_FiberGen.m_Translation[0]); m_Controls->m_YtransBox->setValue(parameters.m_FiberGen.m_Translation[1]); m_Controls->m_ZtransBox->setValue(parameters.m_FiberGen.m_Translation[2]); m_Controls->m_XscaleBox->setValue(parameters.m_FiberGen.m_Scale[0]); m_Controls->m_YscaleBox->setValue(parameters.m_FiberGen.m_Scale[1]); m_Controls->m_ZscaleBox->setValue(parameters.m_FiberGen.m_Scale[2]); // image generation parameters m_Controls->m_SizeX->setValue(parameters.m_SignalGen.m_ImageRegion.GetSize(0)); m_Controls->m_SizeY->setValue(parameters.m_SignalGen.m_ImageRegion.GetSize(1)); m_Controls->m_SizeZ->setValue(parameters.m_SignalGen.m_ImageRegion.GetSize(2)); m_Controls->m_SpacingX->setValue(parameters.m_SignalGen.m_ImageSpacing[0]); m_Controls->m_SpacingY->setValue(parameters.m_SignalGen.m_ImageSpacing[1]); m_Controls->m_SpacingZ->setValue(parameters.m_SignalGen.m_ImageSpacing[2]); m_Controls->m_NumGradientsBox->setValue(parameters.m_SignalGen.GetNumWeightedVolumes()); m_Controls->m_BvalueBox->setValue(parameters.m_SignalGen.m_Bvalue); m_Controls->m_SignalScaleBox->setValue(parameters.m_SignalGen.m_SignalScale); m_Controls->m_TEbox->setValue(parameters.m_SignalGen.m_tEcho); m_Controls->m_LineReadoutTimeBox->setValue(parameters.m_SignalGen.m_tLine); m_Controls->m_T2starBox->setValue(parameters.m_SignalGen.m_tInhom); m_Controls->m_FiberRadius->setValue(parameters.m_SignalGen.m_AxonRadius); m_Controls->m_RelaxationBox->setChecked(parameters.m_SignalGen.m_DoSimulateRelaxation); m_Controls->m_EnforcePureFiberVoxelsBox->setChecked(parameters.m_SignalGen.m_DoDisablePartialVolume); m_Controls->m_ReversePhaseBox->setChecked(parameters.m_SignalGen.m_ReversePhase); m_Controls->m_PartialFourier->setValue(parameters.m_SignalGen.m_PartialFourier); m_Controls->m_TRbox->setValue(parameters.m_SignalGen.m_tRep); m_Controls->m_NumCoilsBox->setValue(parameters.m_SignalGen.m_NumberOfCoils); m_Controls->m_CoilSensBox->setCurrentIndex(parameters.m_SignalGen.m_CoilSensitivityProfile); m_Controls->m_AcquisitionTypeBox->setCurrentIndex(parameters.m_SignalGen.m_AcquisitionType); if (parameters.m_NoiseModel!=nullptr) { m_Controls->m_AddNoise->setChecked(parameters.m_Misc.m_CheckAddNoiseBox); if (dynamic_cast*>(parameters.m_NoiseModel.get())) { m_Controls->m_NoiseDistributionBox->setCurrentIndex(0); } else if (dynamic_cast*>(parameters.m_NoiseModel.get())) { m_Controls->m_NoiseDistributionBox->setCurrentIndex(1); } m_Controls->m_NoiseLevel->setValue(parameters.m_NoiseModel->GetNoiseVariance()); } else { m_Controls->m_AddNoise->setChecked(parameters.m_Misc.m_CheckAddNoiseBox); m_Controls->m_NoiseLevel->setValue(parameters.m_SignalGen.m_NoiseVariance); } m_Controls->m_VolumeFractionsBox->setChecked(parameters.m_Misc.m_CheckOutputVolumeFractionsBox); m_Controls->m_AdvancedOptionsBox_2->setChecked(parameters.m_Misc.m_CheckAdvancedSignalOptionsBox); m_Controls->m_AddGhosts->setChecked(parameters.m_Misc.m_CheckAddGhostsBox); m_Controls->m_AddAliasing->setChecked(parameters.m_Misc.m_CheckAddAliasingBox); m_Controls->m_AddDistortions->setChecked(parameters.m_Misc.m_CheckAddDistortionsBox); m_Controls->m_AddSpikes->setChecked(parameters.m_Misc.m_CheckAddSpikesBox); m_Controls->m_AddEddy->setChecked(parameters.m_Misc.m_CheckAddEddyCurrentsBox); m_Controls->m_kOffsetBox->setValue(parameters.m_SignalGen.m_KspaceLineOffset); m_Controls->m_WrapBox->setValue(100*(1-parameters.m_SignalGen.m_CroppingFactor)); m_Controls->m_SpikeNumBox->setValue(parameters.m_SignalGen.m_Spikes); m_Controls->m_SpikeScaleBox->setValue(parameters.m_SignalGen.m_SpikeAmplitude); m_Controls->m_EddyGradientStrength->setValue(parameters.m_SignalGen.m_EddyStrength); m_Controls->m_AddGibbsRinging->setChecked(parameters.m_SignalGen.m_DoAddGibbsRinging); m_Controls->m_AddMotion->setChecked(parameters.m_SignalGen.m_DoAddMotion); m_Controls->m_RandomMotion->setChecked(parameters.m_SignalGen.m_DoRandomizeMotion); m_Controls->m_MotionVolumesBox->setText(QString(parameters.m_Misc.m_MotionVolumesBox.c_str())); m_Controls->m_MaxTranslationBoxX->setValue(parameters.m_SignalGen.m_Translation[0]); m_Controls->m_MaxTranslationBoxY->setValue(parameters.m_SignalGen.m_Translation[1]); m_Controls->m_MaxTranslationBoxZ->setValue(parameters.m_SignalGen.m_Translation[2]); m_Controls->m_MaxRotationBoxX->setValue(parameters.m_SignalGen.m_Rotation[0]); m_Controls->m_MaxRotationBoxY->setValue(parameters.m_SignalGen.m_Rotation[1]); m_Controls->m_MaxRotationBoxZ->setValue(parameters.m_SignalGen.m_Rotation[2]); m_Controls->m_Compartment1Box->setCurrentIndex(0); m_Controls->m_Compartment2Box->setCurrentIndex(0); m_Controls->m_Compartment3Box->setCurrentIndex(0); m_Controls->m_Compartment4Box->setCurrentIndex(0); for (unsigned int i=0; i* signalModel = nullptr; if (iGetVolumeFractionImage().IsNotNull() ) { compVolNode = mitk::DataNode::New(); mitk::Image::Pointer image = mitk::Image::New(); image->InitializeByItk(signalModel->GetVolumeFractionImage().GetPointer()); image->SetVolume(signalModel->GetVolumeFractionImage()->GetBufferPointer()); compVolNode->SetData( image ); compVolNode->SetName("Compartment volume "+QString::number(signalModel->m_CompartmentId).toStdString()); GetDataStorage()->Add(compVolNode); } switch (signalModel->m_CompartmentId) { case 1: { if (compVolNode.IsNotNull()) m_Controls->m_Comp1VolumeFraction->SetSelectedNode(compVolNode); if (dynamic_cast*>(signalModel)) { mitk::StickModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_StickWidget1->SetT2(model->GetT2()); m_Controls->m_StickWidget1->SetT1(model->GetT1()); m_Controls->m_StickWidget1->SetD(model->GetDiffusivity()); m_Controls->m_Compartment1Box->setCurrentIndex(0); break; } else if (dynamic_cast*>(signalModel)) { mitk::TensorModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_TensorWidget1->SetT2(model->GetT2()); m_Controls->m_TensorWidget1->SetT1(model->GetT1()); m_Controls->m_TensorWidget1->SetD1(model->GetDiffusivity1()); m_Controls->m_TensorWidget1->SetD2(model->GetDiffusivity2()); m_Controls->m_TensorWidget1->SetD3(model->GetDiffusivity3()); m_Controls->m_Compartment1Box->setCurrentIndex(2); break; } else if (dynamic_cast*>(signalModel)) { mitk::RawShModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_PrototypeWidget1->SetNumberOfSamples(model->GetMaxNumKernels()); m_Controls->m_PrototypeWidget1->SetMinFa(model->GetFaRange().first); m_Controls->m_PrototypeWidget1->SetMaxFa(model->GetFaRange().second); m_Controls->m_PrototypeWidget1->SetMinAdc(model->GetAdcRange().first); m_Controls->m_PrototypeWidget1->SetMaxAdc(model->GetAdcRange().second); m_Controls->m_Compartment1Box->setCurrentIndex(3); break; } break; } case 2: { if (compVolNode.IsNotNull()) m_Controls->m_Comp2VolumeFraction->SetSelectedNode(compVolNode); if (dynamic_cast*>(signalModel)) { mitk::StickModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_StickWidget2->SetT2(model->GetT2()); m_Controls->m_StickWidget2->SetT1(model->GetT1()); m_Controls->m_StickWidget2->SetD(model->GetDiffusivity()); m_Controls->m_Compartment2Box->setCurrentIndex(1); break; } else if (dynamic_cast*>(signalModel)) { mitk::TensorModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_TensorWidget2->SetT2(model->GetT2()); m_Controls->m_TensorWidget2->SetT1(model->GetT1()); m_Controls->m_TensorWidget2->SetD1(model->GetDiffusivity1()); m_Controls->m_TensorWidget2->SetD2(model->GetDiffusivity2()); m_Controls->m_TensorWidget2->SetD3(model->GetDiffusivity3()); m_Controls->m_Compartment2Box->setCurrentIndex(3); break; } break; } case 3: { if (compVolNode.IsNotNull()) m_Controls->m_Comp3VolumeFraction->SetSelectedNode(compVolNode); if (dynamic_cast*>(signalModel)) { mitk::BallModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_BallWidget1->SetT2(model->GetT2()); m_Controls->m_BallWidget1->SetT1(model->GetT1()); m_Controls->m_BallWidget1->SetD(model->GetDiffusivity()); m_Controls->m_Compartment3Box->setCurrentIndex(0); break; } else if (dynamic_cast*>(signalModel)) { mitk::AstroStickModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_AstrosticksWidget1->SetT2(model->GetT2()); m_Controls->m_AstrosticksWidget1->SetT1(model->GetT1()); m_Controls->m_AstrosticksWidget1->SetD(model->GetDiffusivity()); m_Controls->m_AstrosticksWidget1->SetRandomizeSticks(model->GetRandomizeSticks()); m_Controls->m_Compartment3Box->setCurrentIndex(1); break; } else if (dynamic_cast*>(signalModel)) { mitk::DotModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_DotWidget1->SetT2(model->GetT2()); m_Controls->m_DotWidget1->SetT1(model->GetT1()); m_Controls->m_Compartment3Box->setCurrentIndex(2); break; } else if (dynamic_cast*>(signalModel)) { mitk::RawShModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_PrototypeWidget3->SetNumberOfSamples(model->GetMaxNumKernels()); m_Controls->m_PrototypeWidget3->SetMinFa(model->GetFaRange().first); m_Controls->m_PrototypeWidget3->SetMaxFa(model->GetFaRange().second); m_Controls->m_PrototypeWidget3->SetMinAdc(model->GetAdcRange().first); m_Controls->m_PrototypeWidget3->SetMaxAdc(model->GetAdcRange().second); m_Controls->m_Compartment3Box->setCurrentIndex(3); break; } break; } case 4: { if (compVolNode.IsNotNull()) m_Controls->m_Comp4VolumeFraction->SetSelectedNode(compVolNode); if (dynamic_cast*>(signalModel)) { mitk::BallModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_BallWidget2->SetT2(model->GetT2()); m_Controls->m_BallWidget2->SetT1(model->GetT1()); m_Controls->m_BallWidget2->SetD(model->GetDiffusivity()); m_Controls->m_Compartment4Box->setCurrentIndex(1); break; } else if (dynamic_cast*>(signalModel)) { mitk::AstroStickModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_AstrosticksWidget2->SetT2(model->GetT2()); m_Controls->m_AstrosticksWidget2->SetT1(model->GetT1()); m_Controls->m_AstrosticksWidget2->SetD(model->GetDiffusivity()); m_Controls->m_AstrosticksWidget2->SetRandomizeSticks(model->GetRandomizeSticks()); m_Controls->m_Compartment4Box->setCurrentIndex(2); break; } else if (dynamic_cast*>(signalModel)) { mitk::DotModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_DotWidget2->SetT2(model->GetT2()); m_Controls->m_DotWidget2->SetT1(model->GetT1()); m_Controls->m_Compartment4Box->setCurrentIndex(3); break; } else if (dynamic_cast*>(signalModel)) { mitk::RawShModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_PrototypeWidget4->SetNumberOfSamples(model->GetMaxNumKernels()); m_Controls->m_PrototypeWidget4->SetMinFa(model->GetFaRange().first); m_Controls->m_PrototypeWidget4->SetMaxFa(model->GetFaRange().second); m_Controls->m_PrototypeWidget4->SetMinAdc(model->GetAdcRange().first); m_Controls->m_PrototypeWidget4->SetMaxAdc(model->GetAdcRange().second); m_Controls->m_Compartment4Box->setCurrentIndex(4); break; } break; } } } if ( parameters.m_SignalGen.m_MaskImage ) { mitk::Image::Pointer image = mitk::Image::New(); image->InitializeByItk(parameters.m_SignalGen.m_MaskImage.GetPointer()); image->SetVolume(parameters.m_SignalGen.m_MaskImage->GetBufferPointer()); mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData( image ); node->SetName("Tissue mask"); GetDataStorage()->Add(node); m_Controls->m_MaskComboBox->SetSelectedNode(node); } if ( parameters.m_SignalGen.m_FrequencyMap ) { mitk::Image::Pointer image = mitk::Image::New(); image->InitializeByItk(parameters.m_SignalGen.m_FrequencyMap.GetPointer()); image->SetVolume(parameters.m_SignalGen.m_FrequencyMap->GetBufferPointer()); mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData( image ); node->SetName("Frequency map"); GetDataStorage()->Add(node); m_Controls->m_FrequencyMapBox->SetSelectedNode(node); } } void QmitkFiberfoxView::ShowAdvancedOptions(int state) { if (state) { m_Controls->m_AdvancedFiberOptionsFrame->setVisible(true); m_Controls->m_AdvancedSignalOptionsFrame->setVisible(true); m_Controls->m_AdvancedOptionsBox->setChecked(true); m_Controls->m_AdvancedOptionsBox_2->setChecked(true); } else { m_Controls->m_AdvancedFiberOptionsFrame->setVisible(false); m_Controls->m_AdvancedSignalOptionsFrame->setVisible(false); m_Controls->m_AdvancedOptionsBox->setChecked(false); m_Controls->m_AdvancedOptionsBox_2->setChecked(false); } } void QmitkFiberfoxView::Comp1ModelFrameVisibility(int index) { m_Controls->m_StickWidget1->setVisible(false); m_Controls->m_ZeppelinWidget1->setVisible(false); m_Controls->m_TensorWidget1->setVisible(false); m_Controls->m_PrototypeWidget1->setVisible(false); switch (index) { case 0: m_Controls->m_StickWidget1->setVisible(true); break; case 1: m_Controls->m_ZeppelinWidget1->setVisible(true); break; case 2: m_Controls->m_TensorWidget1->setVisible(true); break; case 3: m_Controls->m_PrototypeWidget1->setVisible(true); break; } } void QmitkFiberfoxView::Comp2ModelFrameVisibility(int index) { m_Controls->m_StickWidget2->setVisible(false); m_Controls->m_ZeppelinWidget2->setVisible(false); m_Controls->m_TensorWidget2->setVisible(false); m_Controls->m_Comp2FractionFrame->setVisible(false); switch (index) { case 0: break; case 1: m_Controls->m_StickWidget2->setVisible(true); m_Controls->m_Comp2FractionFrame->setVisible(true); break; case 2: m_Controls->m_ZeppelinWidget2->setVisible(true); m_Controls->m_Comp2FractionFrame->setVisible(true); break; case 3: m_Controls->m_TensorWidget2->setVisible(true); m_Controls->m_Comp2FractionFrame->setVisible(true); break; } } void QmitkFiberfoxView::Comp3ModelFrameVisibility(int index) { m_Controls->m_BallWidget1->setVisible(false); m_Controls->m_AstrosticksWidget1->setVisible(false); m_Controls->m_DotWidget1->setVisible(false); m_Controls->m_PrototypeWidget3->setVisible(false); switch (index) { case 0: m_Controls->m_BallWidget1->setVisible(true); break; case 1: m_Controls->m_AstrosticksWidget1->setVisible(true); break; case 2: m_Controls->m_DotWidget1->setVisible(true); break; case 3: m_Controls->m_PrototypeWidget3->setVisible(true); break; } } void QmitkFiberfoxView::Comp4ModelFrameVisibility(int index) { m_Controls->m_BallWidget2->setVisible(false); m_Controls->m_AstrosticksWidget2->setVisible(false); m_Controls->m_DotWidget2->setVisible(false); m_Controls->m_PrototypeWidget4->setVisible(false); m_Controls->m_Comp4FractionFrame->setVisible(false); switch (index) { case 0: break; case 1: m_Controls->m_BallWidget2->setVisible(true); m_Controls->m_Comp4FractionFrame->setVisible(true); break; case 2: m_Controls->m_AstrosticksWidget2->setVisible(true); m_Controls->m_Comp4FractionFrame->setVisible(true); break; case 3: m_Controls->m_DotWidget2->setVisible(true); m_Controls->m_Comp4FractionFrame->setVisible(true); break; case 4: m_Controls->m_PrototypeWidget4->setVisible(true); m_Controls->m_Comp4FractionFrame->setVisible(true); break; } } void QmitkFiberfoxView::OnConstantRadius(int value) { if (value>0 && m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::OnAddMotion(int value) { if (value>0) m_Controls->m_MotionArtifactFrame->setVisible(true); else m_Controls->m_MotionArtifactFrame->setVisible(false); } void QmitkFiberfoxView::OnAddAliasing(int value) { if (value>0) m_Controls->m_AliasingFrame->setVisible(true); else m_Controls->m_AliasingFrame->setVisible(false); } void QmitkFiberfoxView::OnAddSpikes(int value) { if (value>0) m_Controls->m_SpikeFrame->setVisible(true); else m_Controls->m_SpikeFrame->setVisible(false); } void QmitkFiberfoxView::OnAddEddy(int value) { if (value>0) m_Controls->m_EddyFrame->setVisible(true); else m_Controls->m_EddyFrame->setVisible(false); } void QmitkFiberfoxView::OnAddDistortions(int value) { if (value>0) m_Controls->m_DistortionsFrame->setVisible(true); else m_Controls->m_DistortionsFrame->setVisible(false); } void QmitkFiberfoxView::OnAddGhosts(int value) { if (value>0) m_Controls->m_GhostFrame->setVisible(true); else m_Controls->m_GhostFrame->setVisible(false); } void QmitkFiberfoxView::OnAddNoise(int value) { if (value>0) m_Controls->m_NoiseFrame->setVisible(true); else m_Controls->m_NoiseFrame->setVisible(false); } void QmitkFiberfoxView::OnDistributionChanged(int value) { if (value==1) m_Controls->m_VarianceBox->setVisible(true); else m_Controls->m_VarianceBox->setVisible(false); if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::OnVarianceChanged(double) { if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::OnFiberDensityChanged(int) { if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::OnFiberSamplingChanged(double) { if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::OnTensionChanged(double) { if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::OnContinuityChanged(double) { if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::OnBiasChanged(double) { if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::AlignOnGrid() { for (unsigned int i=0; i(m_SelectedFiducials.at(i)->GetData()); mitk::Point3D wc0 = pe->GetWorldControlPoint(0); mitk::DataStorage::SetOfObjects::ConstPointer parentFibs = GetDataStorage()->GetSources(m_SelectedFiducials.at(i)); for( mitk::DataStorage::SetOfObjects::const_iterator it = parentFibs->begin(); it != parentFibs->end(); ++it ) { mitk::DataNode::Pointer pFibNode = *it; if ( pFibNode.IsNotNull() && dynamic_cast(pFibNode->GetData()) ) { mitk::DataStorage::SetOfObjects::ConstPointer parentImgs = GetDataStorage()->GetSources(pFibNode); for( mitk::DataStorage::SetOfObjects::const_iterator it2 = parentImgs->begin(); it2 != parentImgs->end(); ++it2 ) { mitk::DataNode::Pointer pImgNode = *it2; if ( pImgNode.IsNotNull() && dynamic_cast(pImgNode->GetData()) ) { mitk::Image::Pointer img = dynamic_cast(pImgNode->GetData()); mitk::BaseGeometry::Pointer geom = img->GetGeometry(); itk::Index<3> idx; geom->WorldToIndex(wc0, idx); mitk::Point3D cIdx; cIdx[0]=idx[0]; cIdx[1]=idx[1]; cIdx[2]=idx[2]; mitk::Point3D world; geom->IndexToWorld(cIdx,world); mitk::Vector3D trans = world - wc0; pe->GetGeometry()->Translate(trans); break; } } break; } } } for(unsigned int i=0; iGetSources(fibNode); for( mitk::DataStorage::SetOfObjects::const_iterator it = sources->begin(); it != sources->end(); ++it ) { mitk::DataNode::Pointer imgNode = *it; if ( imgNode.IsNotNull() && dynamic_cast(imgNode->GetData()) ) { mitk::DataStorage::SetOfObjects::ConstPointer derivations = GetDataStorage()->GetDerivations(fibNode); for( mitk::DataStorage::SetOfObjects::const_iterator it2 = derivations->begin(); it2 != derivations->end(); ++it2 ) { mitk::DataNode::Pointer fiducialNode = *it2; if ( fiducialNode.IsNotNull() && dynamic_cast(fiducialNode->GetData()) ) { mitk::PlanarEllipse::Pointer pe = dynamic_cast(fiducialNode->GetData()); mitk::Point3D wc0 = pe->GetWorldControlPoint(0); mitk::Image::Pointer img = dynamic_cast(imgNode->GetData()); mitk::BaseGeometry::Pointer geom = img->GetGeometry(); itk::Index<3> idx; geom->WorldToIndex(wc0, idx); mitk::Point3D cIdx; cIdx[0]=idx[0]; cIdx[1]=idx[1]; cIdx[2]=idx[2]; mitk::Point3D world; geom->IndexToWorld(cIdx,world); mitk::Vector3D trans = world - wc0; pe->GetGeometry()->Translate(trans); } } break; } } } for(unsigned int i=0; i(m_SelectedImages.at(i)->GetData()); mitk::DataStorage::SetOfObjects::ConstPointer derivations = GetDataStorage()->GetDerivations(m_SelectedImages.at(i)); for( mitk::DataStorage::SetOfObjects::const_iterator it = derivations->begin(); it != derivations->end(); ++it ) { mitk::DataNode::Pointer fibNode = *it; if ( fibNode.IsNotNull() && dynamic_cast(fibNode->GetData()) ) { mitk::DataStorage::SetOfObjects::ConstPointer derivations2 = GetDataStorage()->GetDerivations(fibNode); for( mitk::DataStorage::SetOfObjects::const_iterator it2 = derivations2->begin(); it2 != derivations2->end(); ++it2 ) { mitk::DataNode::Pointer fiducialNode = *it2; if ( fiducialNode.IsNotNull() && dynamic_cast(fiducialNode->GetData()) ) { mitk::PlanarEllipse::Pointer pe = dynamic_cast(fiducialNode->GetData()); mitk::Point3D wc0 = pe->GetWorldControlPoint(0); mitk::BaseGeometry::Pointer geom = img->GetGeometry(); itk::Index<3> idx; geom->WorldToIndex(wc0, idx); mitk::Point3D cIdx; cIdx[0]=idx[0]; cIdx[1]=idx[1]; cIdx[2]=idx[2]; mitk::Point3D world; geom->IndexToWorld(cIdx,world); mitk::Vector3D trans = world - wc0; pe->GetGeometry()->Translate(trans); } } } } } mitk::RenderingManager::GetInstance()->RequestUpdateAll(); if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::OnFlipButton() { if (m_SelectedFiducial.IsNull()) return; std::map::iterator it = m_DataNodeToPlanarFigureData.find(m_SelectedFiducial.GetPointer()); if( it != m_DataNodeToPlanarFigureData.end() ) { QmitkPlanarFigureData& data = it->second; data.m_Flipped += 1; data.m_Flipped %= 2; } if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } QmitkFiberfoxView::GradientListType QmitkFiberfoxView::GenerateHalfShell(int NPoints) { NPoints *= 2; GradientListType pointshell; int numB0 = NPoints/20; if (numB0==0) numB0=1; GradientType g; g.Fill(0.0); for (int i=0; i theta; theta.set_size(NPoints); vnl_vector phi; phi.set_size(NPoints); double C = sqrt(4*M_PI); phi(0) = 0.0; phi(NPoints-1) = 0.0; for(int i=0; i0 && i std::vector > QmitkFiberfoxView::MakeGradientList() { std::vector > retval; vnl_matrix_fixed* U = itk::PointShell >::DistributePointShell(); // Add 0 vector for B0 int numB0 = ndirs/10; if (numB0==0) numB0=1; itk::Vector v; v.Fill(0.0); for (int i=0; i v; v[0] = U->get(0,i); v[1] = U->get(1,i); v[2] = U->get(2,i); retval.push_back(v); } return retval; } void QmitkFiberfoxView::OnAddBundle() { if (m_SelectedImageNode.IsNull()) return; mitk::DataStorage::SetOfObjects::ConstPointer children = GetDataStorage()->GetDerivations(m_SelectedImageNode); mitk::FiberBundle::Pointer bundle = mitk::FiberBundle::New(); mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData( bundle ); QString name = QString("Bundle_%1").arg(children->size()); node->SetName(name.toStdString()); m_SelectedBundles.push_back(node); UpdateGui(); GetDataStorage()->Add(node, m_SelectedImageNode); } void QmitkFiberfoxView::OnDrawROI() { if (m_SelectedBundles.empty()) OnAddBundle(); if (m_SelectedBundles.empty()) return; mitk::DataStorage::SetOfObjects::ConstPointer children = GetDataStorage()->GetDerivations(m_SelectedBundles.at(0)); mitk::PlanarEllipse::Pointer figure = mitk::PlanarEllipse::New(); mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData( figure ); node->SetBoolProperty("planarfigure.3drendering", true); node->SetBoolProperty("planarfigure.3drendering.fill", true); QList nodes = this->GetDataManagerSelection(); for( int i=0; iSetSelected(false); m_SelectedFiducial = node; QString name = QString("Fiducial_%1").arg(children->size()); node->SetName(name.toStdString()); node->SetSelected(true); this->DisableCrosshairNavigation(); mitk::PlanarFigureInteractor::Pointer figureInteractor = dynamic_cast(node->GetDataInteractor().GetPointer()); if(figureInteractor.IsNull()) { figureInteractor = mitk::PlanarFigureInteractor::New(); us::Module* planarFigureModule = us::ModuleRegistry::GetModule( "MitkPlanarFigure" ); figureInteractor->LoadStateMachine("PlanarFigureInteraction.xml", planarFigureModule ); figureInteractor->SetEventConfig( "PlanarFigureConfig.xml", planarFigureModule ); figureInteractor->SetDataNode( node ); } UpdateGui(); GetDataStorage()->Add(node, m_SelectedBundles.at(0)); } bool CompareLayer(mitk::DataNode::Pointer i,mitk::DataNode::Pointer j) { int li = -1; i->GetPropertyValue("layer", li); int lj = -1; j->GetPropertyValue("layer", lj); return liGetSources(m_SelectedFiducial); for( mitk::DataStorage::SetOfObjects::const_iterator it = parents->begin(); it != parents->end(); ++it ) if(dynamic_cast((*it)->GetData())) m_SelectedBundles.push_back(*it); if (m_SelectedBundles.empty()) return; } FiberfoxParameters parameters = UpdateImageParameters(false); for (unsigned int i=0; iGetDerivations(m_SelectedBundles.at(i)); std::vector< mitk::DataNode::Pointer > childVector; for( mitk::DataStorage::SetOfObjects::const_iterator it = children->begin(); it != children->end(); ++it ) childVector.push_back(*it); sort(childVector.begin(), childVector.end(), CompareLayer); vector< mitk::PlanarEllipse::Pointer > fib; vector< unsigned int > flip; float radius = 1; int count = 0; for( std::vector< mitk::DataNode::Pointer >::const_iterator it = childVector.begin(); it != childVector.end(); ++it ) { mitk::DataNode::Pointer node = *it; if ( node.IsNotNull() && dynamic_cast(node->GetData()) ) { mitk::PlanarEllipse* ellipse = dynamic_cast(node->GetData()); if (m_Controls->m_ConstantRadiusBox->isChecked()) { ellipse->SetTreatAsCircle(true); mitk::Point2D c = ellipse->GetControlPoint(0); mitk::Point2D p = ellipse->GetControlPoint(1); mitk::Vector2D v = p-c; if (count==0) { radius = v.GetVnlVector().magnitude(); ellipse->SetControlPoint(1, p); ellipse->Modified(); } else { v.Normalize(); v *= radius; ellipse->SetControlPoint(1, c+v); ellipse->Modified(); } } fib.push_back(ellipse); std::map::iterator it = m_DataNodeToPlanarFigureData.find(node.GetPointer()); if( it != m_DataNodeToPlanarFigureData.end() ) { QmitkPlanarFigureData& data = it->second; flip.push_back(data.m_Flipped); } else flip.push_back(0); } count++; } if (fib.size()>1) { parameters.m_FiberGen.m_Fiducials.push_back(fib); parameters.m_FiberGen.m_FlipList.push_back(flip); } else if (fib.size()>0) m_SelectedBundles.at(i)->SetData( mitk::FiberBundle::New() ); mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } itk::FibersFromPlanarFiguresFilter::Pointer filter = itk::FibersFromPlanarFiguresFilter::New(); filter->SetParameters(parameters.m_FiberGen); filter->Update(); vector< mitk::FiberBundle::Pointer > fiberBundles = filter->GetFiberBundles(); for (unsigned int i=0; iSetData( fiberBundles.at(i) ); if (fiberBundles.at(i)->GetNumFibers()>50000) m_SelectedBundles.at(i)->SetVisibility(false); } mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } void QmitkFiberfoxView::GenerateImage() { if (m_Controls->m_FiberBundleComboBox->GetSelectedNode().IsNull() && !mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( m_Controls->m_TemplateComboBox->GetSelectedNode())) { mitk::Image::Pointer image = mitk::ImageGenerator::GenerateGradientImage( m_Controls->m_SizeX->value(), m_Controls->m_SizeY->value(), m_Controls->m_SizeZ->value(), m_Controls->m_SpacingX->value(), m_Controls->m_SpacingY->value(), m_Controls->m_SpacingZ->value()); mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData( image ); node->SetName("Dummy"); unsigned int window = m_Controls->m_SizeX->value()*m_Controls->m_SizeY->value()*m_Controls->m_SizeZ->value(); unsigned int level = window/2; mitk::LevelWindow lw; lw.SetLevelWindow(level, window); node->SetProperty( "levelwindow", mitk::LevelWindowProperty::New( lw ) ); GetDataStorage()->Add(node); m_SelectedImageNode = node; mitk::BaseData::Pointer basedata = node->GetData(); if (basedata.IsNotNull()) { mitk::RenderingManager::GetInstance()->InitializeViews( basedata->GetTimeGeometry(), mitk::RenderingManager::REQUEST_UPDATE_ALL, true ); mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } UpdateGui(); QMessageBox::information(nullptr, "Template image generated", "You have selected no fiber bundle or diffusion-weighted image, which can be used to simulate a new diffusion-weighted image. A template image with the specified geometry has been generated that can be used to draw artificial fibers (see tab 'Fiber Definition')."); } else if (m_Controls->m_FiberBundleComboBox->GetSelectedNode().IsNotNull()) SimulateImageFromFibers(m_Controls->m_FiberBundleComboBox->GetSelectedNode()); else if ( mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( m_Controls->m_TemplateComboBox->GetSelectedNode()) ) SimulateForExistingDwi(m_Controls->m_TemplateComboBox->GetSelectedNode()); else QMessageBox::information(nullptr, "No image generated", "You have selected no fiber bundle or diffusion-weighted image, which can be used to simulate a new diffusion-weighted image."); } void QmitkFiberfoxView::SimulateForExistingDwi(mitk::DataNode* imageNode) { bool isDiffusionImage( mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( dynamic_cast(imageNode->GetData())) ); if ( !isDiffusionImage ) { return; } FiberfoxParameters parameters = UpdateImageParameters(); mitk::Image::Pointer diffImg = dynamic_cast(imageNode->GetData()); ItkDwiType::Pointer itkVectorImagePointer = ItkDwiType::New(); mitk::CastToItkImage(diffImg, itkVectorImagePointer); m_TractsToDwiFilter = itk::TractsToDWIImageFilter< short >::New(); parameters.m_Misc.m_ParentNode = imageNode; parameters.m_SignalGen.m_SignalScale = 1; parameters.m_Misc.m_ResultNode->SetName(parameters.m_Misc.m_ParentNode->GetName() +"_D"+QString::number(parameters.m_SignalGen.m_ImageRegion.GetSize(0)).toStdString() +"-"+QString::number(parameters.m_SignalGen.m_ImageRegion.GetSize(1)).toStdString() +"-"+QString::number(parameters.m_SignalGen.m_ImageRegion.GetSize(2)).toStdString() +"_S"+QString::number(parameters.m_SignalGen.m_ImageSpacing[0]).toStdString() +"-"+QString::number(parameters.m_SignalGen.m_ImageSpacing[1]).toStdString() +"-"+QString::number(parameters.m_SignalGen.m_ImageSpacing[2]).toStdString() +"_b"+QString::number(parameters.m_SignalGen.m_Bvalue).toStdString() +"_"+parameters.m_Misc.m_SignalModelString +parameters.m_Misc.m_ArtifactModelString); m_TractsToDwiFilter->SetParameters(parameters); m_TractsToDwiFilter->SetInputImage(itkVectorImagePointer); m_Thread.start(QThread::LowestPriority); } void QmitkFiberfoxView::SimulateImageFromFibers(mitk::DataNode* fiberNode) { mitk::FiberBundle::Pointer fiberBundle = dynamic_cast(fiberNode->GetData()); if (fiberBundle->GetNumFibers()<=0) { return; } FiberfoxParameters parameters = UpdateImageParameters(); m_TractsToDwiFilter = itk::TractsToDWIImageFilter< short >::New(); parameters.m_Misc.m_ParentNode = fiberNode; parameters.m_Misc.m_ResultNode->SetName(parameters.m_Misc.m_ParentNode->GetName() +"_D"+QString::number(parameters.m_SignalGen.m_ImageRegion.GetSize(0)).toStdString() +"-"+QString::number(parameters.m_SignalGen.m_ImageRegion.GetSize(1)).toStdString() +"-"+QString::number(parameters.m_SignalGen.m_ImageRegion.GetSize(2)).toStdString() +"_S"+QString::number(parameters.m_SignalGen.m_ImageSpacing[0]).toStdString() +"-"+QString::number(parameters.m_SignalGen.m_ImageSpacing[1]).toStdString() +"-"+QString::number(parameters.m_SignalGen.m_ImageSpacing[2]).toStdString() +"_b"+QString::number(parameters.m_SignalGen.m_Bvalue).toStdString() +"_"+parameters.m_Misc.m_SignalModelString +parameters.m_Misc.m_ArtifactModelString); if ( m_Controls->m_TemplateComboBox->GetSelectedNode().IsNotNull() && mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( dynamic_cast (m_Controls->m_TemplateComboBox->GetSelectedNode()->GetData()) ) ) { bool first = true; bool ok = true; mitk::Image::Pointer diffImg = dynamic_cast(m_Controls->m_TemplateComboBox->GetSelectedNode()->GetData()); itk::Image< itk::DiffusionTensor3D< double >, 3 >::Pointer tensorImage = nullptr; const int shOrder = 2; typedef itk::AnalyticalDiffusionQballReconstructionImageFilter QballFilterType; QballFilterType::CoefficientImageType::Pointer itkFeatureImage = nullptr; ItkDoubleImgType::Pointer adcImage = nullptr; for (unsigned int i=0; i* model = nullptr; if (i* >(parameters.m_FiberModelList.at(i)); else model = dynamic_cast< mitk::RawShModel<>* >(parameters.m_NonFiberModelList.at(i-parameters.m_FiberModelList.size())); if (model!=0 && model->GetNumberOfKernels()<=0) { if (first==true) { ItkDwiType::Pointer itkVectorImagePointer = ItkDwiType::New(); mitk::CastToItkImage(diffImg, itkVectorImagePointer); typedef itk::DiffusionTensor3DReconstructionImageFilter< short, short, double > TensorReconstructionImageFilterType; TensorReconstructionImageFilterType::Pointer filter = TensorReconstructionImageFilterType::New(); filter->SetBValue( static_cast (diffImg->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() ) ->GetValue() ); filter->SetGradientImage( static_cast ( diffImg->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() ) ->GetGradientDirectionsContainer(), itkVectorImagePointer ); filter->Update(); tensorImage = filter->GetOutput(); QballFilterType::Pointer qballfilter = QballFilterType::New(); qballfilter->SetGradientImage( static_cast ( diffImg->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() ) ->GetGradientDirectionsContainer(), itkVectorImagePointer ); qballfilter->SetBValue( static_cast (diffImg->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() ) ->GetValue() ); qballfilter->SetLambda(0.006); qballfilter->SetNormalizationMethod(QballFilterType::QBAR_RAW_SIGNAL); qballfilter->Update(); itkFeatureImage = qballfilter->GetCoefficientImage(); itk::AdcImageFilter< short, double >::Pointer adcFilter = itk::AdcImageFilter< short, double >::New(); adcFilter->SetInput( itkVectorImagePointer ); adcFilter->SetGradientDirections( static_cast ( diffImg->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() ) ->GetGradientDirectionsContainer() ); adcFilter->SetB_value( static_cast (diffImg->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() ) ->GetValue() ); adcFilter->Update(); adcImage = adcFilter->GetOutput(); } ok = model->SampleKernels(diffImg, parameters.m_SignalGen.m_MaskImage, tensorImage, itkFeatureImage, adcImage); if (!ok) break; } } if (!ok) { QMessageBox::information( nullptr, "Simulation cancelled", "No valid prototype signals could be sampled."); return; } } else if ( m_Controls->m_Compartment1Box->currentIndex()==3 || m_Controls->m_Compartment3Box->currentIndex()==3 || m_Controls->m_Compartment4Box->currentIndex()==4 ) { QMessageBox::information( nullptr, "Simulation cancelled", "Prototype signal but no diffusion-weighted image selected to sample signal from."); return; } m_TractsToDwiFilter->SetParameters(parameters); m_TractsToDwiFilter->SetFiberBundle(fiberBundle); m_Thread.start(QThread::LowestPriority); } void QmitkFiberfoxView::ApplyTransform() { vector< mitk::DataNode::Pointer > selectedBundles; for(unsigned int i=0; iGetDerivations(m_SelectedImages.at(i)); for( mitk::DataStorage::SetOfObjects::const_iterator it = derivations->begin(); it != derivations->end(); ++it ) { mitk::DataNode::Pointer fibNode = *it; if ( fibNode.IsNotNull() && dynamic_cast(fibNode->GetData()) ) selectedBundles.push_back(fibNode); } } if (selectedBundles.empty()) selectedBundles = m_SelectedBundles2; if (!selectedBundles.empty()) { for (std::vector::const_iterator it = selectedBundles.begin(); it!=selectedBundles.end(); ++it) { mitk::FiberBundle::Pointer fib = dynamic_cast((*it)->GetData()); fib->RotateAroundAxis(m_Controls->m_XrotBox->value(), m_Controls->m_YrotBox->value(), m_Controls->m_ZrotBox->value()); fib->TranslateFibers(m_Controls->m_XtransBox->value(), m_Controls->m_YtransBox->value(), m_Controls->m_ZtransBox->value()); fib->ScaleFibers(m_Controls->m_XscaleBox->value(), m_Controls->m_YscaleBox->value(), m_Controls->m_ZscaleBox->value()); // handle child fiducials if (m_Controls->m_IncludeFiducials->isChecked()) { mitk::DataStorage::SetOfObjects::ConstPointer derivations = GetDataStorage()->GetDerivations(*it); for( mitk::DataStorage::SetOfObjects::const_iterator it2 = derivations->begin(); it2 != derivations->end(); ++it2 ) { mitk::DataNode::Pointer fiducialNode = *it2; if ( fiducialNode.IsNotNull() && dynamic_cast(fiducialNode->GetData()) ) { mitk::PlanarEllipse* pe = dynamic_cast(fiducialNode->GetData()); mitk::BaseGeometry* geom = pe->GetGeometry(); // translate mitk::Vector3D world; world[0] = m_Controls->m_XtransBox->value(); world[1] = m_Controls->m_YtransBox->value(); world[2] = m_Controls->m_ZtransBox->value(); geom->Translate(world); // calculate rotation matrix double x = m_Controls->m_XrotBox->value()*M_PI/180; double y = m_Controls->m_YrotBox->value()*M_PI/180; double z = m_Controls->m_ZrotBox->value()*M_PI/180; itk::Matrix< double, 3, 3 > rotX; rotX.SetIdentity(); rotX[1][1] = cos(x); rotX[2][2] = rotX[1][1]; rotX[1][2] = -sin(x); rotX[2][1] = -rotX[1][2]; itk::Matrix< double, 3, 3 > rotY; rotY.SetIdentity(); rotY[0][0] = cos(y); rotY[2][2] = rotY[0][0]; rotY[0][2] = sin(y); rotY[2][0] = -rotY[0][2]; itk::Matrix< double, 3, 3 > rotZ; rotZ.SetIdentity(); rotZ[0][0] = cos(z); rotZ[1][1] = rotZ[0][0]; rotZ[0][1] = -sin(z); rotZ[1][0] = -rotZ[0][1]; itk::Matrix< double, 3, 3 > rot = rotZ*rotY*rotX; // transform control point coordinate into geometry translation geom->SetOrigin(pe->GetWorldControlPoint(0)); mitk::Point2D cp; cp.Fill(0.0); pe->SetControlPoint(0, cp); // rotate fiducial geom->GetIndexToWorldTransform()->SetMatrix(rot*geom->GetIndexToWorldTransform()->GetMatrix()); // implicit translation mitk::Vector3D trans; trans[0] = geom->GetOrigin()[0]-fib->GetGeometry()->GetCenter()[0]; trans[1] = geom->GetOrigin()[1]-fib->GetGeometry()->GetCenter()[1]; trans[2] = geom->GetOrigin()[2]-fib->GetGeometry()->GetCenter()[2]; mitk::Vector3D newWc = rot*trans; newWc = newWc-trans; geom->Translate(newWc); pe->Modified(); } } } } } else { for (unsigned int i=0; i(m_SelectedFiducials.at(i)->GetData()); mitk::BaseGeometry* geom = pe->GetGeometry(); // translate mitk::Vector3D world; world[0] = m_Controls->m_XtransBox->value(); world[1] = m_Controls->m_YtransBox->value(); world[2] = m_Controls->m_ZtransBox->value(); geom->Translate(world); // calculate rotation matrix double x = m_Controls->m_XrotBox->value()*M_PI/180; double y = m_Controls->m_YrotBox->value()*M_PI/180; double z = m_Controls->m_ZrotBox->value()*M_PI/180; itk::Matrix< double, 3, 3 > rotX; rotX.SetIdentity(); rotX[1][1] = cos(x); rotX[2][2] = rotX[1][1]; rotX[1][2] = -sin(x); rotX[2][1] = -rotX[1][2]; itk::Matrix< double, 3, 3 > rotY; rotY.SetIdentity(); rotY[0][0] = cos(y); rotY[2][2] = rotY[0][0]; rotY[0][2] = sin(y); rotY[2][0] = -rotY[0][2]; itk::Matrix< double, 3, 3 > rotZ; rotZ.SetIdentity(); rotZ[0][0] = cos(z); rotZ[1][1] = rotZ[0][0]; rotZ[0][1] = -sin(z); rotZ[1][0] = -rotZ[0][1]; itk::Matrix< double, 3, 3 > rot = rotZ*rotY*rotX; // transform control point coordinate into geometry translation geom->SetOrigin(pe->GetWorldControlPoint(0)); mitk::Point2D cp; cp.Fill(0.0); pe->SetControlPoint(0, cp); // rotate fiducial geom->GetIndexToWorldTransform()->SetMatrix(rot*geom->GetIndexToWorldTransform()->GetMatrix()); pe->Modified(); } if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } void QmitkFiberfoxView::CopyBundles() { if ( m_SelectedBundles.size()<1 ){ QMessageBox::information( nullptr, "Warning", "Select at least one fiber bundle!"); MITK_WARN("QmitkFiberFoxView") << "Select at least one fiber bundle!"; return; } for (std::vector::const_iterator it = m_SelectedBundles.begin(); it!=m_SelectedBundles.end(); ++it) { // find parent image mitk::DataNode::Pointer parentNode; mitk::DataStorage::SetOfObjects::ConstPointer parentImgs = GetDataStorage()->GetSources(*it); for( mitk::DataStorage::SetOfObjects::const_iterator it2 = parentImgs->begin(); it2 != parentImgs->end(); ++it2 ) { mitk::DataNode::Pointer pImgNode = *it2; if ( pImgNode.IsNotNull() && dynamic_cast(pImgNode->GetData()) ) { parentNode = pImgNode; break; } } mitk::FiberBundle::Pointer fib = dynamic_cast((*it)->GetData()); mitk::FiberBundle::Pointer newBundle = fib->GetDeepCopy(); QString name((*it)->GetName().c_str()); name += "_copy"; mitk::DataNode::Pointer fbNode = mitk::DataNode::New(); fbNode->SetData(newBundle); fbNode->SetName(name.toStdString()); fbNode->SetVisibility(true); if (parentNode.IsNotNull()) GetDataStorage()->Add(fbNode, parentNode); else GetDataStorage()->Add(fbNode); // copy child fiducials if (m_Controls->m_IncludeFiducials->isChecked()) { mitk::DataStorage::SetOfObjects::ConstPointer derivations = GetDataStorage()->GetDerivations(*it); for( mitk::DataStorage::SetOfObjects::const_iterator it2 = derivations->begin(); it2 != derivations->end(); ++it2 ) { mitk::DataNode::Pointer fiducialNode = *it2; if ( fiducialNode.IsNotNull() && dynamic_cast(fiducialNode->GetData()) ) { mitk::PlanarEllipse::Pointer pe = dynamic_cast(fiducialNode->GetData())->Clone(); mitk::DataNode::Pointer newNode = mitk::DataNode::New(); newNode->SetData(pe); newNode->SetName(fiducialNode->GetName()); newNode->SetBoolProperty("planarfigure.3drendering", true); GetDataStorage()->Add(newNode, fbNode); } } } } mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } void QmitkFiberfoxView::JoinBundles() { if ( m_SelectedBundles.size()<2 ){ QMessageBox::information( nullptr, "Warning", "Select at least two fiber bundles!"); MITK_WARN("QmitkFiberFoxView") << "Select at least two fiber bundles!"; return; } std::vector::const_iterator it = m_SelectedBundles.begin(); mitk::FiberBundle::Pointer newBundle = dynamic_cast((*it)->GetData()); QString name(""); name += QString((*it)->GetName().c_str()); ++it; for (; it!=m_SelectedBundles.end(); ++it) { newBundle = newBundle->AddBundle(dynamic_cast((*it)->GetData())); name += "+"+QString((*it)->GetName().c_str()); } mitk::DataNode::Pointer fbNode = mitk::DataNode::New(); fbNode->SetData(newBundle); fbNode->SetName(name.toStdString()); fbNode->SetVisibility(true); GetDataStorage()->Add(fbNode); mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } void QmitkFiberfoxView::UpdateGui() { m_Controls->m_GeometryFrame->setEnabled(true); m_Controls->m_GeometryMessage->setVisible(false); m_Controls->m_DiffusionPropsMessage->setVisible(false); m_Controls->m_FiberGenMessage->setVisible(true); m_Controls->m_TransformBundlesButton->setEnabled(false); m_Controls->m_CopyBundlesButton->setEnabled(false); m_Controls->m_GenerateFibersButton->setEnabled(false); m_Controls->m_FlipButton->setEnabled(false); m_Controls->m_CircleButton->setEnabled(false); m_Controls->m_BvalueBox->setEnabled(true); m_Controls->m_NumGradientsBox->setEnabled(true); m_Controls->m_JoinBundlesButton->setEnabled(false); m_Controls->m_AlignOnGrid->setEnabled(false); // Fiber generation gui if (m_SelectedFiducial.IsNotNull()) { m_Controls->m_TransformBundlesButton->setEnabled(true); m_Controls->m_FlipButton->setEnabled(true); m_Controls->m_AlignOnGrid->setEnabled(true); } if (m_SelectedImageNode.IsNotNull() || !m_SelectedBundles.empty()) { m_Controls->m_CircleButton->setEnabled(true); m_Controls->m_FiberGenMessage->setVisible(false); } if (m_SelectedImageNode.IsNotNull() && !m_SelectedBundles.empty()) m_Controls->m_AlignOnGrid->setEnabled(true); if (!m_SelectedBundles.empty()) { m_Controls->m_TransformBundlesButton->setEnabled(true); m_Controls->m_CopyBundlesButton->setEnabled(true); m_Controls->m_GenerateFibersButton->setEnabled(true); if (m_SelectedBundles.size()>1) m_Controls->m_JoinBundlesButton->setEnabled(true); } // Signal generation gui if (m_Controls->m_MaskComboBox->GetSelectedNode().IsNotNull() || m_Controls->m_TemplateComboBox->GetSelectedNode().IsNotNull()) { m_Controls->m_GeometryMessage->setVisible(true); m_Controls->m_GeometryFrame->setEnabled(false); } if ( m_Controls->m_TemplateComboBox->GetSelectedNode().IsNotNull() && mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( dynamic_cast(m_Controls->m_TemplateComboBox->GetSelectedNode()->GetData()) ) ) { m_Controls->m_DiffusionPropsMessage->setVisible(true); m_Controls->m_BvalueBox->setEnabled(false); m_Controls->m_NumGradientsBox->setEnabled(false); m_Controls->m_GeometryMessage->setVisible(true); m_Controls->m_GeometryFrame->setEnabled(false); } } void QmitkFiberfoxView::OnSelectionChanged(berry::IWorkbenchPart::Pointer, const QList& nodes) { m_SelectedBundles2.clear(); m_SelectedImages.clear(); m_SelectedFiducials.clear(); m_SelectedFiducial = nullptr; m_SelectedBundles.clear(); m_SelectedImageNode = nullptr; // iterate all selected objects, adjust warning visibility for( int i=0; i(node->GetData()) ) { m_SelectedImages.push_back(node); m_SelectedImageNode = node; } else if ( node.IsNotNull() && dynamic_cast(node->GetData()) ) { m_SelectedBundles2.push_back(node); if (m_Controls->m_RealTimeFibers->isChecked()) { m_SelectedBundles.push_back(node); mitk::FiberBundle::Pointer newFib = dynamic_cast(node->GetData()); if (newFib->GetNumFibers()!=m_Controls->m_FiberDensityBox->value()) GenerateFibers(); } else m_SelectedBundles.push_back(node); } else if ( node.IsNotNull() && dynamic_cast(node->GetData()) ) { m_SelectedFiducials.push_back(node); m_SelectedFiducial = node; m_SelectedBundles.clear(); mitk::DataStorage::SetOfObjects::ConstPointer parents = GetDataStorage()->GetSources(node); for( mitk::DataStorage::SetOfObjects::const_iterator it = parents->begin(); it != parents->end(); ++it ) { mitk::DataNode::Pointer pNode = *it; if ( pNode.IsNotNull() && dynamic_cast(pNode->GetData()) ) m_SelectedBundles.push_back(pNode); } } } UpdateGui(); } void QmitkFiberfoxView::EnableCrosshairNavigation() { if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::DisableCrosshairNavigation() { } void QmitkFiberfoxView::NodeRemoved(const mitk::DataNode* node) { mitk::DataNode* nonConstNode = const_cast(node); std::map::iterator it = m_DataNodeToPlanarFigureData.find(nonConstNode); if (dynamic_cast(node->GetData())) { m_SelectedBundles.clear(); m_SelectedBundles2.clear(); } else if (dynamic_cast(node->GetData())) m_SelectedImages.clear(); if( it != m_DataNodeToPlanarFigureData.end() ) { QmitkPlanarFigureData& data = it->second; // remove observers data.m_Figure->RemoveObserver( data.m_EndPlacementObserverTag ); data.m_Figure->RemoveObserver( data.m_SelectObserverTag ); data.m_Figure->RemoveObserver( data.m_StartInteractionObserverTag ); data.m_Figure->RemoveObserver( data.m_EndInteractionObserverTag ); m_DataNodeToPlanarFigureData.erase( it ); } } void QmitkFiberfoxView::NodeAdded( const mitk::DataNode* node ) { // add observer for selection in renderwindow mitk::PlanarFigure* figure = dynamic_cast(node->GetData()); bool isPositionMarker (false); node->GetBoolProperty("isContourMarker", isPositionMarker); if( figure && !isPositionMarker ) { MITK_DEBUG << "figure added. will add interactor if needed."; mitk::PlanarFigureInteractor::Pointer figureInteractor = dynamic_cast(node->GetDataInteractor().GetPointer()); mitk::DataNode* nonConstNode = const_cast( node ); if(figureInteractor.IsNull()) { figureInteractor = mitk::PlanarFigureInteractor::New(); us::Module* planarFigureModule = us::ModuleRegistry::GetModule( "MitkPlanarFigure" ); figureInteractor->LoadStateMachine("PlanarFigureInteraction.xml", planarFigureModule ); figureInteractor->SetEventConfig( "PlanarFigureConfig.xml", planarFigureModule ); figureInteractor->SetDataNode( nonConstNode ); } MITK_DEBUG << "will now add observers for planarfigure"; QmitkPlanarFigureData data; data.m_Figure = figure; // // add observer for event when figure has been placed typedef itk::SimpleMemberCommand< QmitkFiberfoxView > SimpleCommandType; // SimpleCommandType::Pointer initializationCommand = SimpleCommandType::New(); // initializationCommand->SetCallbackFunction( this, &QmitkFiberfoxView::PlanarFigureInitialized ); // data.m_EndPlacementObserverTag = figure->AddObserver( mitk::EndPlacementPlanarFigureEvent(), initializationCommand ); // add observer for event when figure is picked (selected) typedef itk::MemberCommand< QmitkFiberfoxView > MemberCommandType; MemberCommandType::Pointer selectCommand = MemberCommandType::New(); selectCommand->SetCallbackFunction( this, &QmitkFiberfoxView::PlanarFigureSelected ); data.m_SelectObserverTag = figure->AddObserver( mitk::SelectPlanarFigureEvent(), selectCommand ); // add observer for event when interaction with figure starts SimpleCommandType::Pointer startInteractionCommand = SimpleCommandType::New(); startInteractionCommand->SetCallbackFunction( this, &QmitkFiberfoxView::DisableCrosshairNavigation); data.m_StartInteractionObserverTag = figure->AddObserver( mitk::StartInteractionPlanarFigureEvent(), startInteractionCommand ); // add observer for event when interaction with figure starts SimpleCommandType::Pointer endInteractionCommand = SimpleCommandType::New(); endInteractionCommand->SetCallbackFunction( this, &QmitkFiberfoxView::EnableCrosshairNavigation); data.m_EndInteractionObserverTag = figure->AddObserver( mitk::EndInteractionPlanarFigureEvent(), endInteractionCommand ); m_DataNodeToPlanarFigureData[nonConstNode] = data; } } void QmitkFiberfoxView::PlanarFigureSelected( itk::Object* object, const itk::EventObject& ) { mitk::TNodePredicateDataType::Pointer isPf = mitk::TNodePredicateDataType::New(); mitk::DataStorage::SetOfObjects::ConstPointer allPfs = this->GetDataStorage()->GetSubset( isPf ); for ( mitk::DataStorage::SetOfObjects::const_iterator it = allPfs->begin(); it!=allPfs->end(); ++it) { mitk::DataNode* node = *it; if( node->GetData() == object ) { node->SetSelected(true); m_SelectedFiducial = node; } else node->SetSelected(false); } UpdateGui(); this->RequestRenderWindowUpdate(); } void QmitkFiberfoxView::SetFocus() { m_Controls->m_CircleButton->setFocus(); } void QmitkFiberfoxView::SetOutputPath() { // SELECT FOLDER DIALOG string outputPath = QFileDialog::getExistingDirectory(nullptr, "Save images to...", QString(outputPath.c_str())).toStdString(); if (outputPath.empty()) m_Controls->m_SavePathEdit->setText("-"); else { outputPath += "/"; m_Controls->m_SavePathEdit->setText(QString(outputPath.c_str())); } } diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkDiffusionQuantificationView.cpp b/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkDiffusionQuantificationView.cpp index 9993bb4e8a..20155ec4c9 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkDiffusionQuantificationView.cpp +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkDiffusionQuantificationView.cpp @@ -1,760 +1,760 @@ /*=================================================================== The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center, Division of Medical and Biological Informatics. All rights reserved. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See LICENSE.txt or http://www.mitk.org for details. ===================================================================*/ #include "QmitkDiffusionQuantificationView.h" #include "mitkDiffusionImagingConfigure.h" #include "itkTimeProbe.h" #include "itkImage.h" #include "mitkNodePredicateDataType.h" #include "mitkDataNodeObject.h" #include "mitkQBallImage.h" #include #include "mitkImageCast.h" #include "mitkStatusBar.h" #include "itkDiffusionQballGeneralizedFaImageFilter.h" #include "itkShiftScaleImageFilter.h" #include "itkTensorFractionalAnisotropyImageFilter.h" #include "itkTensorRelativeAnisotropyImageFilter.h" #include "itkTensorDerivedMeasurementsFilter.h" #include "QmitkDataStorageComboBox.h" #include #include "berryIWorkbenchWindow.h" #include "berryISelectionService.h" #include #include #include #include #include #include #include #include const std::string QmitkDiffusionQuantificationView::VIEW_ID = "org.mitk.views.diffusionquantification"; QmitkDiffusionQuantificationView::QmitkDiffusionQuantificationView() : QmitkAbstractView(), m_Controls(nullptr) { m_QBallImages = mitk::DataStorage::SetOfObjects::New(); m_TensorImages = mitk::DataStorage::SetOfObjects::New(); m_DwImages = mitk::DataStorage::SetOfObjects::New(); } QmitkDiffusionQuantificationView::~QmitkDiffusionQuantificationView() { } void QmitkDiffusionQuantificationView::CreateQtPartControl(QWidget *parent) { if (!m_Controls) { // create GUI widgets m_Controls = new Ui::QmitkDiffusionQuantificationViewControls; m_Controls->setupUi(parent); this->CreateConnections(); GFACheckboxClicked(); #ifndef DIFFUSION_IMAGING_EXTENDED m_Controls->m_StandardGFACheckbox->setVisible(false); m_Controls->frame_3->setVisible(false); m_Controls->m_CurvatureButton->setVisible(false); #endif m_Controls->m_BallStickButton->setVisible(false); m_Controls->m_MultiTensorButton->setVisible(false); } } void QmitkDiffusionQuantificationView::CreateConnections() { if ( m_Controls ) { connect( (QObject*)(m_Controls->m_StandardGFACheckbox), SIGNAL(clicked()), this, SLOT(GFACheckboxClicked()) ); connect( (QObject*)(m_Controls->m_GFAButton), SIGNAL(clicked()), this, SLOT(GFA()) ); connect( (QObject*)(m_Controls->m_CurvatureButton), SIGNAL(clicked()), this, SLOT(Curvature()) ); connect( (QObject*)(m_Controls->m_FAButton), SIGNAL(clicked()), this, SLOT(FA()) ); connect( (QObject*)(m_Controls->m_RAButton), SIGNAL(clicked()), this, SLOT(RA()) ); connect( (QObject*)(m_Controls->m_ADButton), SIGNAL(clicked()), this, SLOT(AD()) ); connect( (QObject*)(m_Controls->m_RDButton), SIGNAL(clicked()), this, SLOT(RD()) ); connect( (QObject*)(m_Controls->m_MDButton), SIGNAL(clicked()), this, SLOT(MD()) ); connect( (QObject*)(m_Controls->m_MdDwiButton), SIGNAL(clicked()), this, SLOT(MD_DWI()) ); connect( (QObject*)(m_Controls->m_AdcDwiButton), SIGNAL(clicked()), this, SLOT(ADC_DWI()) ); connect( (QObject*)(m_Controls->m_ClusteringAnisotropy), SIGNAL(clicked()), this, SLOT(ClusterAnisotropy()) ); connect( (QObject*)(m_Controls->m_BallStickButton), SIGNAL(clicked()), this, SLOT(DoBallStickCalculation()) ); connect( (QObject*)(m_Controls->m_MultiTensorButton), SIGNAL(clicked()), this, SLOT(DoMultiTensorCalculation()) ); } } void QmitkDiffusionQuantificationView::SetFocus() { m_Controls->m_ScaleImageValuesBox->setFocus(); } void QmitkDiffusionQuantificationView::OnSelectionChanged(berry::IWorkbenchPart::Pointer /*part*/, const QList& nodes) { m_QBallImages = mitk::DataStorage::SetOfObjects::New(); m_TensorImages = mitk::DataStorage::SetOfObjects::New(); m_DwImages = mitk::DataStorage::SetOfObjects::New(); bool foundQBIVolume = false; bool foundTensorVolume = false; bool foundDwVolume = false; mitk::DataNode::Pointer selNode = nullptr; int c=0; for (mitk::DataNode::Pointer node: nodes) { if( node.IsNotNull() && dynamic_cast(node->GetData()) ) { foundQBIVolume = true; m_QBallImages->push_back(node); selNode = node; c++; } else if( node.IsNotNull() && dynamic_cast(node->GetData()) ) { foundTensorVolume = true; m_TensorImages->push_back(node); selNode = node; c++; } else if( node.IsNotNull() && dynamic_cast(node->GetData()) && mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage(dynamic_cast(node->GetData())) ) { foundDwVolume = true; m_DwImages->push_back(node); selNode = node; c++; } } m_Controls->m_GFAButton->setEnabled(foundQBIVolume); m_Controls->m_CurvatureButton->setEnabled(foundQBIVolume); if (c>0) { m_Controls->m_InputData->setTitle("Input Data"); m_Controls->m_InputImageLabel->setText(selNode->GetName().c_str()); } else { m_Controls->m_InputData->setTitle("Please Select Input Data"); m_Controls->m_InputImageLabel->setText("mandatory"); } m_Controls->m_FAButton->setEnabled(foundTensorVolume); m_Controls->m_RAButton->setEnabled(foundTensorVolume); m_Controls->m_ADButton->setEnabled(foundTensorVolume); m_Controls->m_RDButton->setEnabled(foundTensorVolume); m_Controls->m_MDButton->setEnabled(foundTensorVolume); m_Controls->m_ClusteringAnisotropy->setEnabled(foundTensorVolume); m_Controls->m_AdcDwiButton->setEnabled(foundDwVolume); m_Controls->m_MdDwiButton->setEnabled(foundDwVolume); m_Controls->m_BallStickButton->setEnabled(foundDwVolume); m_Controls->m_MultiTensorButton->setEnabled(foundDwVolume); } void QmitkDiffusionQuantificationView::ADC_DWI() { DoAdcCalculation(true); } void QmitkDiffusionQuantificationView::MD_DWI() { DoAdcCalculation(false); } void QmitkDiffusionQuantificationView::DoBallStickCalculation() { mitk::DataStorage::SetOfObjects::const_iterator itemiterend( m_DwImages->end() ); mitk::DataStorage::SetOfObjects::const_iterator itemiter( m_DwImages->begin() ); while ( itemiter != itemiterend ) // for all items { mitk::DataNode* node = *itemiter; mitk::Image::Pointer image = dynamic_cast(node->GetData()); typedef itk::BallAndSticksImageFilter< short, double > FilterType; ItkDwiType::Pointer itkVectorImagePointer = ItkDwiType::New(); mitk::CastToItkImage(image, itkVectorImagePointer); FilterType::Pointer filter = FilterType::New(); filter->SetInput( itkVectorImagePointer ); filter->SetGradientDirections( static_cast ( image->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() ) ->GetGradientDirectionsContainer() ); filter->SetB_value( static_cast (image->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() ) ->GetValue() ); filter->Update(); mitk::Image::Pointer newImage = mitk::Image::New(); newImage->InitializeByItk( filter->GetOutput() ); newImage->SetVolume( filter->GetOutput()->GetBufferPointer() ); mitk::DataNode::Pointer imageNode = mitk::DataNode::New(); imageNode->SetData( newImage ); QString name = node->GetName().c_str(); imageNode->SetName((name+"_f").toStdString().c_str()); GetDataStorage()->Add(imageNode, node); { FilterType::PeakImageType::Pointer itkImg = filter->GetPeakImage(); mitk::Image::Pointer newImage = mitk::Image::New(); CastToMitkImage(itkImg, newImage); mitk::DataNode::Pointer imageNode = mitk::DataNode::New(); imageNode->SetData( newImage ); QString name = node->GetName().c_str(); imageNode->SetName((name+"_Sticks").toStdString().c_str()); GetDataStorage()->Add(imageNode, node); } { mitk::Image::Pointer dOut = mitk::GrabItkImageMemory( filter->GetOutDwi().GetPointer() ); - dOut->SetProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), image->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() ); + dOut->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), image->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() ); dOut->SetProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), image->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() ); mitk::DiffusionPropertyHelper propertyHelper( dOut ); propertyHelper.InitializeImage(); mitk::DataNode::Pointer imageNode = mitk::DataNode::New(); imageNode->SetData( dOut ); QString name = node->GetName().c_str(); imageNode->SetName((name+"_Estimated-DWI").toStdString().c_str()); GetDataStorage()->Add(imageNode, node); } ++itemiter; } } void QmitkDiffusionQuantificationView::DoMultiTensorCalculation() { mitk::DataStorage::SetOfObjects::const_iterator itemiterend( m_DwImages->end() ); mitk::DataStorage::SetOfObjects::const_iterator itemiter( m_DwImages->begin() ); while ( itemiter != itemiterend ) // for all items { mitk::DataNode* node = *itemiter; mitk::Image::Pointer image = dynamic_cast(node->GetData()); typedef itk::MultiTensorImageFilter< short, double > FilterType; ItkDwiType::Pointer itkVectorImagePointer = ItkDwiType::New(); mitk::CastToItkImage(image, itkVectorImagePointer); FilterType::Pointer filter = FilterType::New(); filter->SetInput( itkVectorImagePointer ); filter->SetGradientDirections( static_cast ( image->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() ) ->GetGradientDirectionsContainer() ); filter->SetB_value( static_cast (image->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() ) ->GetValue() ); filter->Update(); typedef itk::Image, 3> TensorImageType; for (int i=0; iGetTensorImages().at(i); mitk::TensorImage::Pointer image = mitk::TensorImage::New(); image->InitializeByItk( tensorImage.GetPointer() ); image->SetVolume( tensorImage->GetBufferPointer() ); mitk::DataNode::Pointer imageNode = mitk::DataNode::New(); imageNode->SetData( image ); QString name = node->GetName().c_str(); name.append("_Tensor"); name.append(boost::lexical_cast(i).c_str()); imageNode->SetName(name.toStdString().c_str()); GetDataStorage()->Add(imageNode, node); } ++itemiter; } } void QmitkDiffusionQuantificationView::DoAdcCalculation(bool fit) { mitk::DataStorage::SetOfObjects::const_iterator itemiterend( m_DwImages->end() ); mitk::DataStorage::SetOfObjects::const_iterator itemiter( m_DwImages->begin() ); while ( itemiter != itemiterend ) // for all items { mitk::DataNode* node = *itemiter; mitk::Image::Pointer image = dynamic_cast(node->GetData()); typedef itk::AdcImageFilter< short, double > FilterType; ItkDwiType::Pointer itkVectorImagePointer = ItkDwiType::New(); mitk::CastToItkImage(image, itkVectorImagePointer); FilterType::Pointer filter = FilterType::New(); filter->SetInput( itkVectorImagePointer ); filter->SetGradientDirections( static_cast ( image->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() ) ->GetGradientDirectionsContainer() ); filter->SetB_value( static_cast (image->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() ) ->GetValue() ); filter->SetFitSignal(fit); filter->Update(); typedef itk::ShiftScaleImageFilter::OutputImageType, itk::AdcImageFilter< short, double >::OutputImageType> ShiftScaleFilterType; ShiftScaleFilterType::Pointer multi = ShiftScaleFilterType::New(); multi->SetShift(0.0); multi->SetScale(m_Controls->m_ScaleImageValuesBox->value()); multi->SetInput(filter->GetOutput()); multi->Update(); mitk::Image::Pointer newImage = mitk::Image::New(); newImage->InitializeByItk( multi->GetOutput() ); newImage->SetVolume( multi->GetOutput()->GetBufferPointer() ); mitk::DataNode::Pointer imageNode = mitk::DataNode::New(); imageNode->SetData( newImage ); QString name = node->GetName().c_str(); mitk::LookupTable::Pointer lut = mitk::LookupTable::New(); lut->SetType( mitk::LookupTable::JET_TRANSPARENT ); mitk::LookupTableProperty::Pointer lut_prop = mitk::LookupTableProperty::New(); lut_prop->SetLookupTable( lut ); imageNode->SetProperty("LookupTable", lut_prop ); if (fit) imageNode->SetName((name+"_ADC").toStdString().c_str()); else imageNode->SetName((name+"_MD").toStdString().c_str()); GetDataStorage()->Add(imageNode, node); ++itemiter; } } void QmitkDiffusionQuantificationView::GFACheckboxClicked() { m_Controls->frame_2->setVisible(m_Controls->m_StandardGFACheckbox->isChecked()); } void QmitkDiffusionQuantificationView::GFA() { if(m_Controls->m_StandardGFACheckbox->isChecked()) { QBIQuantify(13); } else { QBIQuantify(0); } } void QmitkDiffusionQuantificationView::Curvature() { QBIQuantify(12); } void QmitkDiffusionQuantificationView::FA() { TensorQuantify(0); } void QmitkDiffusionQuantificationView::RA() { TensorQuantify(1); } void QmitkDiffusionQuantificationView::AD() { TensorQuantify(2); } void QmitkDiffusionQuantificationView::RD() { TensorQuantify(3); } void QmitkDiffusionQuantificationView::ClusterAnisotropy() { TensorQuantify(4); } void QmitkDiffusionQuantificationView::MD() { TensorQuantify(5); } void QmitkDiffusionQuantificationView::QBIQuantify(int method) { QBIQuantification(m_QBallImages, method); } void QmitkDiffusionQuantificationView::TensorQuantify(int method) { TensorQuantification(m_TensorImages, method); } void QmitkDiffusionQuantificationView::QBIQuantification( mitk::DataStorage::SetOfObjects::Pointer inImages, int method) { itk::TimeProbe clock; QString status; int nrFiles = inImages->size(); if (!nrFiles) return; mitk::DataStorage::SetOfObjects::const_iterator itemiter( inImages->begin() ); mitk::DataStorage::SetOfObjects::const_iterator itemiterend( inImages->end() ); std::vector nodes; while ( itemiter != itemiterend ) // for all items { typedef float TOdfPixelType; const int odfsize = QBALL_ODFSIZE; typedef itk::Vector OdfVectorType; typedef itk::Image OdfVectorImgType; mitk::Image* vol = static_cast((*itemiter)->GetData()); OdfVectorImgType::Pointer itkvol = OdfVectorImgType::New(); mitk::CastToItkImage(vol, itkvol); std::string nodename; (*itemiter)->GetStringProperty("name", nodename); float p1 = m_Controls->m_ParamKEdit->text().toFloat(); float p2 = m_Controls->m_ParamPEdit->text().toFloat(); // COMPUTE RA clock.Start(); MBI_INFO << "Computing GFA "; mitk::StatusBar::GetInstance()->DisplayText(status.sprintf( "Computing GFA for %s", nodename.c_str()).toLatin1()); typedef OdfVectorType::ValueType RealValueType; typedef itk::Image< RealValueType, 3 > RAImageType; typedef itk::DiffusionQballGeneralizedFaImageFilter GfaFilterType; GfaFilterType::Pointer gfaFilter = GfaFilterType::New(); gfaFilter->SetInput(itkvol); std::string newname; newname.append(nodename); switch(method) { case 0: { gfaFilter->SetComputationMethod(GfaFilterType::GFA_STANDARD); newname.append("GFA"); break; } case 1: { gfaFilter->SetComputationMethod(GfaFilterType::GFA_QUANTILES_HIGH_LOW); newname.append("01"); break; } case 2: { gfaFilter->SetComputationMethod(GfaFilterType::GFA_QUANTILE_HIGH); newname.append("02"); break; } case 3: { gfaFilter->SetComputationMethod(GfaFilterType::GFA_MAX_ODF_VALUE); newname.append("03"); break; } case 4: { gfaFilter->SetComputationMethod(GfaFilterType::GFA_DECONVOLUTION_COEFFS); newname.append("04"); break; } case 5: { gfaFilter->SetComputationMethod(GfaFilterType::GFA_MIN_MAX_NORMALIZED_STANDARD); newname.append("05"); break; } case 6: { gfaFilter->SetComputationMethod(GfaFilterType::GFA_NORMALIZED_ENTROPY); newname.append("06"); break; } case 7: { gfaFilter->SetComputationMethod(GfaFilterType::GFA_NEMATIC_ORDER_PARAMETER); newname.append("07"); break; } case 8: { gfaFilter->SetComputationMethod(GfaFilterType::GFA_QUANTILES_LOW_HIGH); newname.append("08"); break; } case 9: { gfaFilter->SetComputationMethod(GfaFilterType::GFA_QUANTILE_LOW); newname.append("09"); break; } case 10: { gfaFilter->SetComputationMethod(GfaFilterType::GFA_MIN_ODF_VALUE); newname.append("10"); break; } case 11: { gfaFilter->SetComputationMethod(GfaFilterType::GFA_STD_BY_MAX); newname.append("11"); break; } case 12: { p1 = m_Controls->MinAngle->text().toFloat(); p2 = m_Controls->MaxAngle->text().toFloat(); gfaFilter->SetComputationMethod(GfaFilterType::GFA_PRINCIPLE_CURVATURE); QString paramString; paramString = paramString.append("PC%1-%2").arg(p1).arg(p2); newname.append(paramString.toLatin1()); gfaFilter->SetParam1(p1); gfaFilter->SetParam2(p2); break; } case 13: { gfaFilter->SetComputationMethod(GfaFilterType::GFA_GENERALIZED_GFA); QString paramString; paramString = paramString.append("GFAK%1P%2").arg(p1).arg(p2); newname.append(paramString.toLatin1()); gfaFilter->SetParam1(p1); gfaFilter->SetParam2(p2); break; } default: { newname.append("0"); gfaFilter->SetComputationMethod(GfaFilterType::GFA_STANDARD); } } gfaFilter->Update(); clock.Stop(); typedef itk::Image ImgType; ImgType::Pointer img = ImgType::New(); img->SetSpacing( gfaFilter->GetOutput()->GetSpacing() ); // Set the image spacing img->SetOrigin( gfaFilter->GetOutput()->GetOrigin() ); // Set the image origin img->SetDirection( gfaFilter->GetOutput()->GetDirection() ); // Set the image direction img->SetLargestPossibleRegion( gfaFilter->GetOutput()->GetLargestPossibleRegion()); img->SetBufferedRegion( gfaFilter->GetOutput()->GetLargestPossibleRegion() ); img->Allocate(); itk::ImageRegionIterator ot (img, img->GetLargestPossibleRegion() ); ot.GoToBegin(); itk::ImageRegionConstIterator it (gfaFilter->GetOutput(), gfaFilter->GetOutput()->GetLargestPossibleRegion() ); for (it.GoToBegin(); !it.IsAtEnd(); ++it) { GfaFilterType::OutputImageType::PixelType val = it.Get(); ot.Set(val * m_Controls->m_ScaleImageValuesBox->value()); ++ot; } // GFA TO DATATREE mitk::Image::Pointer image = mitk::Image::New(); image->InitializeByItk( img.GetPointer() ); image->SetVolume( img->GetBufferPointer() ); mitk::DataNode::Pointer node=mitk::DataNode::New(); node->SetData( image ); node->SetProperty( "name", mitk::StringProperty::New(newname) ); mitk::LookupTable::Pointer lut = mitk::LookupTable::New(); lut->SetType( mitk::LookupTable::JET_TRANSPARENT ); mitk::LookupTableProperty::Pointer lut_prop = mitk::LookupTableProperty::New(); lut_prop->SetLookupTable( lut ); node->SetProperty("LookupTable", lut_prop ); GetDataStorage()->Add(node, *itemiter); mitk::StatusBar::GetInstance()->DisplayText("Computation complete."); ++itemiter; } this->GetRenderWindowPart()->RequestUpdate(); } void QmitkDiffusionQuantificationView::TensorQuantification( mitk::DataStorage::SetOfObjects::Pointer inImages, int method) { itk::TimeProbe clock; QString status; int nrFiles = inImages->size(); if (!nrFiles) return; mitk::DataStorage::SetOfObjects::const_iterator itemiter( inImages->begin() ); mitk::DataStorage::SetOfObjects::const_iterator itemiterend( inImages->end() ); std::vector nodes; while ( itemiter != itemiterend ) // for all items { typedef float TTensorPixelType; typedef itk::DiffusionTensor3D< TTensorPixelType > TensorPixelType; typedef itk::Image< TensorPixelType, 3 > TensorImageType; mitk::Image* vol = static_cast((*itemiter)->GetData()); TensorImageType::Pointer itkvol = TensorImageType::New(); mitk::CastToItkImage(vol, itkvol); std::string nodename; (*itemiter)->GetStringProperty("name", nodename); // COMPUTE FA clock.Start(); MBI_INFO << "Computing FA "; mitk::StatusBar::GetInstance()->DisplayText(status.sprintf( "Computing FA for %s", nodename.c_str()).toLatin1()); typedef itk::Image< TTensorPixelType, 3 > FAImageType; typedef itk::ShiftScaleImageFilter ShiftScaleFilterType; ShiftScaleFilterType::Pointer multi = ShiftScaleFilterType::New(); multi->SetShift(0.0); multi->SetScale(m_Controls->m_ScaleImageValuesBox->value()); typedef itk::TensorDerivedMeasurementsFilter MeasurementsType; if(method == 0) //FA { /* typedef itk::TensorFractionalAnisotropyImageFilter< TensorImageType, FAImageType > FilterType; FilterType::Pointer anisotropyFilter = FilterType::New(); anisotropyFilter->SetInput( itkvol.GetPointer() ); anisotropyFilter->Update(); multi->SetInput(anisotropyFilter->GetOutput()); nodename = QString(nodename.c_str()).append("_FA").toStdString();*/ MeasurementsType::Pointer measurementsCalculator = MeasurementsType::New(); measurementsCalculator->SetInput(itkvol.GetPointer() ); measurementsCalculator->SetMeasure(MeasurementsType::FA); measurementsCalculator->Update(); multi->SetInput(measurementsCalculator->GetOutput()); nodename = QString(nodename.c_str()).append("_FA").toStdString(); } else if(method == 1) //RA { /*typedef itk::TensorRelativeAnisotropyImageFilter< TensorImageType, FAImageType > FilterType; FilterType::Pointer anisotropyFilter = FilterType::New(); anisotropyFilter->SetInput( itkvol.GetPointer() ); anisotropyFilter->Update(); multi->SetInput(anisotropyFilter->GetOutput()); nodename = QString(nodename.c_str()).append("_RA").toStdString();*/ MeasurementsType::Pointer measurementsCalculator = MeasurementsType::New(); measurementsCalculator->SetInput(itkvol.GetPointer() ); measurementsCalculator->SetMeasure(MeasurementsType::RA); measurementsCalculator->Update(); multi->SetInput(measurementsCalculator->GetOutput()); nodename = QString(nodename.c_str()).append("_RA").toStdString(); } else if(method == 2) // AD (Axial diffusivity) { MeasurementsType::Pointer measurementsCalculator = MeasurementsType::New(); measurementsCalculator->SetInput(itkvol.GetPointer() ); measurementsCalculator->SetMeasure(MeasurementsType::AD); measurementsCalculator->Update(); multi->SetInput(measurementsCalculator->GetOutput()); nodename = QString(nodename.c_str()).append("_AD").toStdString(); } else if(method == 3) // RD (Radial diffusivity, (Lambda2+Lambda3)/2 { MeasurementsType::Pointer measurementsCalculator = MeasurementsType::New(); measurementsCalculator->SetInput(itkvol.GetPointer() ); measurementsCalculator->SetMeasure(MeasurementsType::RD); measurementsCalculator->Update(); multi->SetInput(measurementsCalculator->GetOutput()); nodename = QString(nodename.c_str()).append("_RD").toStdString(); } else if(method == 4) // 1-(Lambda2+Lambda3)/(2*Lambda1) { MeasurementsType::Pointer measurementsCalculator = MeasurementsType::New(); measurementsCalculator->SetInput(itkvol.GetPointer() ); measurementsCalculator->SetMeasure(MeasurementsType::CA); measurementsCalculator->Update(); multi->SetInput(measurementsCalculator->GetOutput()); nodename = QString(nodename.c_str()).append("_CA").toStdString(); } else if(method == 5) // MD (Mean Diffusivity, (Lambda1+Lambda2+Lambda3)/3 ) { MeasurementsType::Pointer measurementsCalculator = MeasurementsType::New(); measurementsCalculator->SetInput(itkvol.GetPointer() ); measurementsCalculator->SetMeasure(MeasurementsType::MD); measurementsCalculator->Update(); multi->SetInput(measurementsCalculator->GetOutput()); nodename = QString(nodename.c_str()).append("_MD").toStdString(); } multi->Update(); clock.Stop(); // FA TO DATATREE mitk::Image::Pointer image = mitk::Image::New(); image->InitializeByItk( multi->GetOutput() ); image->SetVolume( multi->GetOutput()->GetBufferPointer() ); mitk::DataNode::Pointer node=mitk::DataNode::New(); node->SetData( image ); node->SetProperty( "name", mitk::StringProperty::New(nodename) ); mitk::LookupTable::Pointer lut = mitk::LookupTable::New(); lut->SetType( mitk::LookupTable::JET_TRANSPARENT ); mitk::LookupTableProperty::Pointer lut_prop = mitk::LookupTableProperty::New(); lut_prop->SetLookupTable( lut ); node->SetProperty("LookupTable", lut_prop ); GetDataStorage()->Add(node, *itemiter); ++itemiter; mitk::StatusBar::GetInstance()->DisplayText("Computation complete."); } this->GetRenderWindowPart()->RequestUpdate(); } diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkTensorReconstructionView.cpp b/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkTensorReconstructionView.cpp index 9579acd42f..1a263ae87f 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkTensorReconstructionView.cpp +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkTensorReconstructionView.cpp @@ -1,1063 +1,1063 @@ /*=================================================================== The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center, Division of Medical and Biological Informatics. All rights reserved. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See LICENSE.txt or http://www.mitk.org for details. ===================================================================*/ #include "QmitkTensorReconstructionView.h" #include "mitkDiffusionImagingConfigure.h" // qt includes #include #include #include #include #include // itk includes #include "itkTimeProbe.h" //#include "itkTensor.h" // mitk includes #include "mitkProgressBar.h" #include "mitkStatusBar.h" #include "mitkNodePredicateDataType.h" #include "QmitkDataStorageComboBox.h" #include "mitkTeemDiffusionTensor3DReconstructionImageFilter.h" #include "itkDiffusionTensor3DReconstructionImageFilter.h" #include "itkTensorImageToDiffusionImageFilter.h" #include "itkPointShell.h" #include "itkVector.h" #include "itkB0ImageExtractionImageFilter.h" #include "itkTensorReconstructionWithEigenvalueCorrectionFilter.h" #include "mitkImageCast.h" #include "mitkImageAccessByItk.h" #include #include #include "mitkProperties.h" #include "mitkDataNodeObject.h" #include "mitkOdfNormalizationMethodProperty.h" #include "mitkOdfScaleByProperty.h" #include "mitkLookupTableProperty.h" #include "mitkLookupTable.h" #include "mitkImageStatisticsHolder.h" #include #include #include #include #include #include const std::string QmitkTensorReconstructionView::VIEW_ID = "org.mitk.views.tensorreconstruction"; typedef float TTensorPixelType; typedef itk::DiffusionTensor3D< TTensorPixelType > TensorPixelType; typedef itk::Image< TensorPixelType, 3 > TensorImageType; using namespace berry; QmitkTensorReconstructionView::QmitkTensorReconstructionView() : QmitkAbstractView(), m_Controls(nullptr) { m_DiffusionImages = mitk::DataStorage::SetOfObjects::New(); m_TensorImages = mitk::DataStorage::SetOfObjects::New(); } QmitkTensorReconstructionView::~QmitkTensorReconstructionView() { } void QmitkTensorReconstructionView::CreateQtPartControl(QWidget *parent) { if (!m_Controls) { // create GUI widgets m_Controls = new Ui::QmitkTensorReconstructionViewControls; m_Controls->setupUi(parent); this->CreateConnections(); Advanced1CheckboxClicked(); } } void QmitkTensorReconstructionView::SetFocus() { m_Controls->m_Advanced1->setFocus(); } void QmitkTensorReconstructionView::CreateConnections() { if ( m_Controls ) { connect( (QObject*)(m_Controls->m_StartReconstruction), SIGNAL(clicked()), this, SLOT(Reconstruct()) ); connect( (QObject*)(m_Controls->m_Advanced1), SIGNAL(clicked()), this, SLOT(Advanced1CheckboxClicked()) ); connect( (QObject*)(m_Controls->m_TensorsToDWIButton), SIGNAL(clicked()), this, SLOT(TensorsToDWI()) ); connect( (QObject*)(m_Controls->m_TensorsToQbiButton), SIGNAL(clicked()), this, SLOT(TensorsToQbi()) ); connect( (QObject*)(m_Controls->m_ResidualButton), SIGNAL(clicked()), this, SLOT(ResidualCalculation()) ); connect( (QObject*)(m_Controls->m_PerSliceView), SIGNAL(pointSelected(int, int)), this, SLOT(ResidualClicked(int, int)) ); connect( (QObject*)(m_Controls->m_TensorReconstructionThreshold), SIGNAL(valueChanged(int)), this, SLOT(PreviewThreshold(int)) ); } } void QmitkTensorReconstructionView::ResidualClicked(int slice, int volume) { // Use image coord to reset crosshair // Find currently selected diffusion image // Update Label // to do: This position should be modified in order to skip B0 volumes that are not taken into account // when calculating residuals // Find the diffusion image mitk::Image* diffImage; mitk::DataNode::Pointer correctNode; mitk::BaseGeometry* geometry; bool isDiffusionImage(false); if (m_DiffusionImage.IsNotNull()) { isDiffusionImage = mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( dynamic_cast(m_DiffusionImage->GetData())) ; diffImage = static_cast(m_DiffusionImage->GetData()); geometry = m_DiffusionImage->GetData()->GetGeometry(); // Remember the node whose display index must be updated correctNode = mitk::DataNode::New(); correctNode = m_DiffusionImage; } if( isDiffusionImage ) { GradientDirectionContainerType::Pointer dirs = static_cast( diffImage->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer(); for(itk::SizeValueType i=0; iSize() && i<=(itk::SizeValueType)volume; i++) { GradientDirectionType grad = dirs->ElementAt(i); // check if image is b0 weighted if(fabs(grad[0]) < 0.001 && fabs(grad[1]) < 0.001 && fabs(grad[2]) < 0.001) { volume++; } } QString pos = "Volume: "; pos.append(QString::number(volume)); pos.append(", Slice: "); pos.append(QString::number(slice)); m_Controls->m_PositionLabel->setText(pos); if(correctNode) { int oldDisplayVal; correctNode->GetIntProperty("DisplayChannel", oldDisplayVal); QString oldVal = QString::number(oldDisplayVal); QString newVal = QString::number(volume); correctNode->SetIntProperty("DisplayChannel",volume); correctNode->SetSelected(true); this->FirePropertyChanged("DisplayChannel", oldVal, newVal); correctNode->UpdateOutputInformation(); mitk::Point3D p3 = this->GetRenderWindowPart()->GetSelectedPosition(); itk::Index<3> ix; geometry->WorldToIndex(p3, ix); // ix[2] = slice; mitk::Vector3D vec; vec[0] = ix[0]; vec[1] = ix[1]; vec[2] = slice; mitk::Vector3D v3New; geometry->IndexToWorld(vec, v3New); mitk::Point3D origin = geometry->GetOrigin(); mitk::Point3D p3New; p3New[0] = v3New[0] + origin[0]; p3New[1] = v3New[1] + origin[1]; p3New[2] = v3New[2] + origin[2]; this->GetRenderWindowPart()->SetSelectedPosition(p3New); this->GetRenderWindowPart()->RequestUpdate(); } } } void QmitkTensorReconstructionView::Advanced1CheckboxClicked() { bool check = m_Controls-> m_Advanced1->isChecked(); m_Controls->frame->setVisible(check); } void QmitkTensorReconstructionView::Activated() { } void QmitkTensorReconstructionView::Deactivated() { // Get all current nodes mitk::DataStorage::SetOfObjects::ConstPointer objects = this->GetDataStorage()->GetAll(); mitk::DataStorage::SetOfObjects::const_iterator itemiter( objects->begin() ); mitk::DataStorage::SetOfObjects::const_iterator itemiterend( objects->end() ); while ( itemiter != itemiterend ) // for all items { mitk::DataNode::Pointer node = *itemiter; if (node.IsNull()) continue; // only look at interesting types if( mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage(dynamic_cast(node->GetData()))) { if (this->GetDataStorage()->GetNamedDerivedNode("ThresholdOverlay", *itemiter)) { node = this->GetDataStorage()->GetNamedDerivedNode("ThresholdOverlay", *itemiter); this->GetDataStorage()->Remove(node); } } itemiter++; } mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } void QmitkTensorReconstructionView::Visible() { } void QmitkTensorReconstructionView::Hidden() { } void QmitkTensorReconstructionView::ResidualCalculation() { // Extract dwi and dti from current selection // In case of multiple selections, take the first one, since taking all combinations is not meaningful mitk::DataStorage::SetOfObjects::Pointer set = mitk::DataStorage::SetOfObjects::New(); mitk::Image::Pointer diffImage = mitk::Image::New(); TensorImageType::Pointer tensorImage; std::string nodename; if(m_DiffusionImage.IsNotNull()) { diffImage = static_cast(m_DiffusionImage->GetData()); } else return; if(m_TensorImage.IsNotNull()) { mitk::TensorImage* mitkVol; mitkVol = static_cast(m_TensorImage->GetData()); mitk::CastToItkImage(mitkVol, tensorImage); m_TensorImage->GetStringProperty("name", nodename); } else return; typedef itk::TensorImageToDiffusionImageFilter< TTensorPixelType, DiffusionPixelType > FilterType; GradientDirectionContainerType* gradients = static_cast( diffImage->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer(); // Find the min and the max values from a baseline image mitk::ImageStatisticsHolder *stats = diffImage->GetStatistics(); //Initialize filter that calculates the modeled diffusion weighted signals FilterType::Pointer filter = FilterType::New(); filter->SetInput( tensorImage ); filter->SetBValue( static_cast(diffImage->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue()); filter->SetGradientList(gradients); filter->SetMin(stats->GetScalarValueMin()); filter->SetMax(stats->GetScalarValueMax()); filter->Update(); // TENSORS TO DATATREE mitk::Image::Pointer image = mitk::GrabItkImageMemory( filter->GetOutput() ); mitk::DiffusionPropertyHelper::CopyProperties(diffImage, image, true); image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( gradients ) ); mitk::DiffusionPropertyHelper propertyHelper( image ); propertyHelper.InitializeImage(); mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData( image ); mitk::ImageVtkMapper2D::SetDefaultProperties(node); QString newname; newname = newname.append(nodename.c_str()); newname = newname.append("_Estimated DWI"); node->SetName(newname.toLatin1()); GetDataStorage()->Add(node, m_TensorImage); BValueMapType map = static_cast(image->GetProperty(mitk::DiffusionPropertyHelper::BVALUEMAPPROPERTYNAME.c_str()).GetPointer() )->GetBValueMap();; std::vector< unsigned int > b0Indices = map[0]; typedef itk::ResidualImageFilter ResidualImageFilterType; ITKDiffusionImageType::Pointer itkVectorImagePointer = ITKDiffusionImageType::New(); mitk::CastToItkImage(diffImage, itkVectorImagePointer); ITKDiffusionImageType::Pointer itkSecondVectorImagePointer = ITKDiffusionImageType::New(); mitk::CastToItkImage(image, itkSecondVectorImagePointer); ResidualImageFilterType::Pointer residualFilter = ResidualImageFilterType::New(); residualFilter->SetInput( itkVectorImagePointer ); residualFilter->SetSecondDiffusionImage( itkSecondVectorImagePointer ); residualFilter->SetGradients(gradients); residualFilter->SetB0Index(b0Indices[0]); residualFilter->SetB0Threshold(30); residualFilter->Update(); itk::Image::Pointer residualImage = itk::Image::New(); residualImage = residualFilter->GetOutput(); mitk::Image::Pointer mitkResImg = mitk::Image::New(); mitk::CastToMitkImage(residualImage, mitkResImg); stats = mitkResImg->GetStatistics(); float min = stats->GetScalarValueMin(); float max = stats->GetScalarValueMax(); mitk::LookupTableProperty::Pointer lutProp = mitk::LookupTableProperty::New(); mitk::LookupTable::Pointer lut = mitk::LookupTable::New(); vtkSmartPointer lookupTable = vtkSmartPointer::New(); lookupTable->SetTableRange(min, max); // If you don't want to use the whole color range, you can use // SetValueRange, SetHueRange, and SetSaturationRange lookupTable->Build(); vtkSmartPointer reversedlookupTable = vtkSmartPointer::New(); reversedlookupTable->SetTableRange(min+1, max); reversedlookupTable->Build(); for(int i=0; i<256; i++) { double* rgba = reversedlookupTable->GetTableValue(255-i); lookupTable->SetTableValue(i, rgba[0], rgba[1], rgba[2], rgba[3]); } lut->SetVtkLookupTable(lookupTable); lutProp->SetLookupTable(lut); // Create lookuptable mitk::DataNode::Pointer resNode=mitk::DataNode::New(); resNode->SetData( mitkResImg ); resNode->SetName("Residuals"); resNode->SetProperty("LookupTable", lutProp); bool b; resNode->GetBoolProperty("use color", b); resNode->SetBoolProperty("use color", false); GetDataStorage()->Add(resNode, m_TensorImage); this->GetRenderWindowPart()->RequestUpdate(); // Draw Graph std::vector means = residualFilter->GetMeans(); std::vector q1s = residualFilter->GetQ1(); std::vector q3s = residualFilter->GetQ3(); std::vector percentagesOfOUtliers = residualFilter->GetPercentagesOfOutliers(); m_Controls->m_ResidualAnalysis->SetMeans(means); m_Controls->m_ResidualAnalysis->SetQ1(q1s); m_Controls->m_ResidualAnalysis->SetQ3(q3s); m_Controls->m_ResidualAnalysis->SetPercentagesOfOutliers(percentagesOfOUtliers); if(m_Controls->m_PercentagesOfOutliers->isChecked()) { m_Controls->m_ResidualAnalysis->DrawPercentagesOfOutliers(); } else { m_Controls->m_ResidualAnalysis->DrawMeans(); } // Draw Graph for volumes per slice in the QGraphicsView std::vector< std::vector > outliersPerSlice = residualFilter->GetOutliersPerSlice(); int xSize = outliersPerSlice.size(); if(xSize == 0) { return; } int ySize = outliersPerSlice[0].size(); // Find maximum in outliersPerSlice double maxOutlier= 0.0; for(int i=0; imaxOutlier) { maxOutlier = outliersPerSlice[i][j]; } } } // Create some QImage QImage qImage(xSize, ySize, QImage::Format_RGB32); QImage legend(1, 256, QImage::Format_RGB32); QRgb value; vtkSmartPointer lookup = vtkSmartPointer::New(); lookup->SetTableRange(0.0, maxOutlier); lookup->Build(); reversedlookupTable->SetTableRange(0, maxOutlier); reversedlookupTable->Build(); for(int i=0; i<256; i++) { double* rgba = reversedlookupTable->GetTableValue(255-i); lookup->SetTableValue(i, rgba[0], rgba[1], rgba[2], rgba[3]); } // Fill qImage for(int i=0; iMapValue(out); int r, g, b; r = _rgba[0]; g = _rgba[1]; b = _rgba[2]; value = qRgb(r, g, b); qImage.setPixel(i,j,value); } } for(int i=0; i<256; i++) { double* rgba = lookup->GetTableValue(i); int r, g, b; r = rgba[0]*255; g = rgba[1]*255; b = rgba[2]*255; value = qRgb(r, g, b); legend.setPixel(0,255-i,value); } QString upper = QString::number(maxOutlier, 'g', 3); upper.append(" %"); QString lower = QString::number(0.0); lower.append(" %"); m_Controls->m_UpperLabel->setText(upper); m_Controls->m_LowerLabel->setText(lower); QPixmap pixmap(QPixmap::fromImage(qImage)); QGraphicsPixmapItem *item = new QGraphicsPixmapItem(pixmap); item->setTransform(QTransform::fromScale(10.0, 3.0), true); QPixmap pixmap2(QPixmap::fromImage(legend)); QGraphicsPixmapItem *item2 = new QGraphicsPixmapItem(pixmap2); item2->setTransform(QTransform::fromScale(20.0, 1.0), true); m_Controls->m_PerSliceView->SetResidualPixmapItem(item); QGraphicsScene* scene = new QGraphicsScene; QGraphicsScene* scene2 = new QGraphicsScene; scene->addItem(item); scene2->addItem(item2); m_Controls->m_PerSliceView->setScene(scene); m_Controls->m_LegendView->setScene(scene2); m_Controls->m_PerSliceView->show(); m_Controls->m_PerSliceView->repaint(); m_Controls->m_LegendView->setHorizontalScrollBarPolicy ( Qt::ScrollBarAlwaysOff ); m_Controls->m_LegendView->setVerticalScrollBarPolicy ( Qt::ScrollBarAlwaysOff ); m_Controls->m_LegendView->show(); m_Controls->m_LegendView->repaint(); } void QmitkTensorReconstructionView::Reconstruct() { int method = m_Controls->m_ReconctructionMethodBox->currentIndex(); switch (method) { case 0: ItkTensorReconstruction(m_DiffusionImages); break; case 1: TensorReconstructionWithCorr(m_DiffusionImages); break; default: ItkTensorReconstruction(m_DiffusionImages); } } void QmitkTensorReconstructionView::TensorReconstructionWithCorr (mitk::DataStorage::SetOfObjects::Pointer inImages) { try { int nrFiles = inImages->size(); if (!nrFiles) return; QString status; mitk::ProgressBar::GetInstance()->AddStepsToDo(nrFiles); mitk::DataStorage::SetOfObjects::const_iterator itemiter( inImages->begin() ); mitk::DataStorage::SetOfObjects::const_iterator itemiterend( inImages->end() ); while ( itemiter != itemiterend ) // for all items { mitk::Image* vols = static_cast((*itemiter)->GetData()); std::string nodename; (*itemiter)->GetStringProperty("name", nodename); // TENSOR RECONSTRUCTION MITK_INFO << "Tensor reconstruction with correction for negative eigenvalues"; mitk::StatusBar::GetInstance()->DisplayText(status.sprintf("Tensor reconstruction for %s", nodename.c_str()).toLatin1()); typedef itk::TensorReconstructionWithEigenvalueCorrectionFilter< DiffusionPixelType, TTensorPixelType > ReconstructionFilter; float b0Threshold = m_Controls->m_TensorReconstructionThreshold->value(); GradientDirectionContainerType::Pointer gradientContainerCopy = GradientDirectionContainerType::New(); for(GradientDirectionContainerType::ConstIterator it = static_cast( vols->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer()->Begin(); it != static_cast( vols->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer()->End(); it++) { gradientContainerCopy->push_back(it.Value()); } ITKDiffusionImageType::Pointer itkVectorImagePointer = ITKDiffusionImageType::New(); mitk::CastToItkImage(vols, itkVectorImagePointer); ReconstructionFilter::Pointer reconFilter = ReconstructionFilter::New(); reconFilter->SetBValue( static_cast(vols->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue() ); reconFilter->SetGradientImage( gradientContainerCopy, itkVectorImagePointer); reconFilter->SetB0Threshold(b0Threshold); reconFilter->Update(); typedef itk::Image, 3> TensorImageType; TensorImageType::Pointer outputTensorImg = reconFilter->GetOutput(); typedef itk::ImageRegionIterator TensorImageIteratorType; TensorImageIteratorType tensorIt(outputTensorImg, outputTensorImg->GetRequestedRegion()); tensorIt.GoToBegin(); int negatives = 0; while(!tensorIt.IsAtEnd()) { typedef itk::DiffusionTensor3D TensorType; TensorType tensor = tensorIt.Get(); TensorType::EigenValuesArrayType ev; tensor.ComputeEigenValues(ev); for(unsigned int i=0; iInitializeByItk( outputTensorImg.GetPointer() ); image->SetVolume( outputTensorImg->GetBufferPointer() ); mitk::DataNode::Pointer node=mitk::DataNode::New(); node->SetData( image ); SetDefaultNodeProperties(node, nodename+"_EigenvalueCorrected_DT"); GetDataStorage()->Add(node, *itemiter); mitk::ProgressBar::GetInstance()->Progress(); ++itemiter; } mitk::StatusBar::GetInstance()->DisplayText(status.sprintf("Finished Processing %d Files", nrFiles).toLatin1()); this->GetRenderWindowPart()->RequestUpdate(); } catch (itk::ExceptionObject &ex) { MITK_INFO << ex ; QMessageBox::information(0, "Reconstruction not possible:", ex.GetDescription()); } } void QmitkTensorReconstructionView::ItkTensorReconstruction(mitk::DataStorage::SetOfObjects::Pointer inImages) { try { itk::TimeProbe clock; int nrFiles = inImages->size(); if (!nrFiles) return; QString status; mitk::ProgressBar::GetInstance()->AddStepsToDo(nrFiles); mitk::DataStorage::SetOfObjects::const_iterator itemiter( inImages->begin() ); mitk::DataStorage::SetOfObjects::const_iterator itemiterend( inImages->end() ); while ( itemiter != itemiterend ) // for all items { mitk::Image* vols = static_cast( (*itemiter)->GetData()); std::string nodename; (*itemiter)->GetStringProperty("name", nodename); // TENSOR RECONSTRUCTION clock.Start(); MITK_DEBUG << "Tensor reconstruction "; mitk::StatusBar::GetInstance()->DisplayText(status.sprintf("Tensor reconstruction for %s", nodename.c_str()).toLatin1()); typedef itk::DiffusionTensor3DReconstructionImageFilter< DiffusionPixelType, DiffusionPixelType, TTensorPixelType > TensorReconstructionImageFilterType; TensorReconstructionImageFilterType::Pointer tensorReconstructionFilter = TensorReconstructionImageFilterType::New(); GradientDirectionContainerType::Pointer gradientContainerCopy = GradientDirectionContainerType::New(); for(GradientDirectionContainerType::ConstIterator it = static_cast( vols->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer()->Begin(); it != static_cast( vols->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer()->End(); it++) { gradientContainerCopy->push_back(it.Value()); } ITKDiffusionImageType::Pointer itkVectorImagePointer = ITKDiffusionImageType::New(); mitk::CastToItkImage(vols, itkVectorImagePointer); tensorReconstructionFilter->SetBValue( static_cast(vols->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue() ); tensorReconstructionFilter->SetGradientImage( gradientContainerCopy, itkVectorImagePointer ); tensorReconstructionFilter->SetThreshold( m_Controls->m_TensorReconstructionThreshold->value() ); tensorReconstructionFilter->Update(); clock.Stop(); MITK_DEBUG << "took " << clock.GetMean() << "s."; // TENSORS TO DATATREE mitk::TensorImage::Pointer image = mitk::TensorImage::New(); typedef itk::Image, 3> TensorImageType; TensorImageType::Pointer tensorImage; tensorImage = tensorReconstructionFilter->GetOutput(); // Check the tensor for negative eigenvalues if(m_Controls->m_CheckNegativeEigenvalues->isChecked()) { typedef itk::ImageRegionIterator TensorImageIteratorType; TensorImageIteratorType tensorIt(tensorImage, tensorImage->GetRequestedRegion()); tensorIt.GoToBegin(); while(!tensorIt.IsAtEnd()) { typedef itk::DiffusionTensor3D TensorType; //typedef itk::Tensor TensorType2; TensorType tensor = tensorIt.Get(); TensorType::EigenValuesArrayType ev; tensor.ComputeEigenValues(ev); for(unsigned int i=0; iSetDirection( itkVectorImagePointer->GetDirection() ); image->InitializeByItk( tensorImage.GetPointer() ); image->SetVolume( tensorReconstructionFilter->GetOutput()->GetBufferPointer() ); mitk::DataNode::Pointer node=mitk::DataNode::New(); node->SetData( image ); SetDefaultNodeProperties(node, nodename+"_LinearLeastSquares_DT"); GetDataStorage()->Add(node, *itemiter); mitk::ProgressBar::GetInstance()->Progress(); ++itemiter; } mitk::StatusBar::GetInstance()->DisplayText(status.sprintf("Finished Processing %d Files", nrFiles).toLatin1()); this->GetRenderWindowPart()->RequestUpdate(); } catch (itk::ExceptionObject &ex) { MITK_INFO << ex ; QMessageBox::information(0, "Reconstruction not possible:", ex.GetDescription()); return; } } void QmitkTensorReconstructionView::SetDefaultNodeProperties(mitk::DataNode::Pointer node, std::string name) { node->SetProperty( "ShowMaxNumber", mitk::IntProperty::New( 500 ) ); node->SetProperty( "Scaling", mitk::FloatProperty::New( 1.0 ) ); node->SetProperty( "Normalization", mitk::OdfNormalizationMethodProperty::New()); node->SetProperty( "ScaleBy", mitk::OdfScaleByProperty::New()); node->SetProperty( "IndexParam1", mitk::FloatProperty::New(2)); node->SetProperty( "IndexParam2", mitk::FloatProperty::New(1)); node->SetProperty( "visible", mitk::BoolProperty::New( true ) ); node->SetProperty( "VisibleOdfs", mitk::BoolProperty::New( false ) ); node->SetProperty ("layer", mitk::IntProperty::New(100)); node->SetProperty( "DoRefresh", mitk::BoolProperty::New( true ) ); node->SetProperty( "name", mitk::StringProperty::New(name) ); } void QmitkTensorReconstructionView::TensorsToDWI() { DoTensorsToDWI(m_TensorImages); } void QmitkTensorReconstructionView::TensorsToQbi() { for (unsigned int i=0; isize(); i++) { mitk::DataNode::Pointer tensorImageNode = m_TensorImages->at(i); MITK_INFO << "starting Q-Ball estimation"; typedef float TTensorPixelType; typedef itk::DiffusionTensor3D< TTensorPixelType > TensorPixelType; typedef itk::Image< TensorPixelType, 3 > TensorImageType; TensorImageType::Pointer itkvol = TensorImageType::New(); mitk::CastToItkImage(dynamic_cast(tensorImageNode->GetData()), itkvol); typedef itk::TensorImageToQBallImageFilter< TTensorPixelType, TTensorPixelType > FilterType; FilterType::Pointer filter = FilterType::New(); filter->SetInput( itkvol ); filter->Update(); typedef itk::Vector OutputPixelType; typedef itk::Image OutputImageType; mitk::QBallImage::Pointer image = mitk::QBallImage::New(); OutputImageType::Pointer outimg = filter->GetOutput(); image->InitializeByItk( outimg.GetPointer() ); image->SetVolume( outimg->GetBufferPointer() ); mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData( image ); node->SetName(tensorImageNode->GetName()+"_Qball"); GetDataStorage()->Add(node, tensorImageNode); } } void QmitkTensorReconstructionView::OnSelectionChanged(berry::IWorkbenchPart::Pointer /*part*/, const QList& nodes) { m_DiffusionImages = mitk::DataStorage::SetOfObjects::New(); m_TensorImages = mitk::DataStorage::SetOfObjects::New(); bool foundDwiVolume = false; bool foundTensorVolume = false; m_Controls->m_DiffusionImageLabel->setText("mandatory"); m_DiffusionImage = nullptr; m_TensorImage = nullptr; m_Controls->m_InputData->setTitle("Please Select Input Data"); // iterate selection for (mitk::DataNode::Pointer node: nodes) { if (node.IsNull()) continue; // only look at interesting types bool isDiffusionImage( mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( dynamic_cast(node->GetData())) ); if ( isDiffusionImage ) { foundDwiVolume = true; m_Controls->m_DiffusionImageLabel->setText(node->GetName().c_str()); m_DiffusionImages->push_back(node); m_DiffusionImage = node; } else if(dynamic_cast(node->GetData())) { foundTensorVolume = true; m_Controls->m_DiffusionImageLabel->setText(node->GetName().c_str()); m_TensorImages->push_back(node); m_TensorImage = node; } } m_Controls->m_StartReconstruction->setEnabled(foundDwiVolume); m_Controls->m_TensorsToDWIButton->setEnabled(foundTensorVolume); m_Controls->m_TensorsToQbiButton->setEnabled(foundTensorVolume); if (foundDwiVolume || foundTensorVolume) m_Controls->m_InputData->setTitle("Input Data"); m_Controls->m_ResidualButton->setEnabled(foundDwiVolume && foundTensorVolume); m_Controls->m_PercentagesOfOutliers->setEnabled(foundDwiVolume && foundTensorVolume); m_Controls->m_PerSliceView->setEnabled(foundDwiVolume && foundTensorVolume); } template itk::VectorContainer >::Pointer QmitkTensorReconstructionView::MakeGradientList() { itk::VectorContainer >::Pointer retval = itk::VectorContainer >::New(); vnl_matrix_fixed* U = itk::PointShell >::DistributePointShell(); for(int i=0; i v; v[0] = U->get(0,i); v[1] = U->get(1,i); v[2] = U->get(2,i); retval->push_back(v); } // Add 0 vector for B0 vnl_vector_fixed v; v.fill(0.0); retval->push_back(v); return retval; } void QmitkTensorReconstructionView::DoTensorsToDWI(mitk::DataStorage::SetOfObjects::Pointer inImages) { try { itk::TimeProbe clock; int nrFiles = inImages->size(); if (!nrFiles) return; QString status; mitk::ProgressBar::GetInstance()->AddStepsToDo(nrFiles); mitk::DataStorage::SetOfObjects::const_iterator itemiter( inImages->begin() ); mitk::DataStorage::SetOfObjects::const_iterator itemiterend( inImages->end() ); while ( itemiter != itemiterend ) // for all items { std::string nodename; (*itemiter)->GetStringProperty("name", nodename); mitk::TensorImage* vol = static_cast((*itemiter)->GetData()); typedef float TTensorPixelType; typedef itk::DiffusionTensor3D< TTensorPixelType > TensorPixelType; typedef itk::Image< TensorPixelType, 3 > TensorImageType; TensorImageType::Pointer itkvol = TensorImageType::New(); mitk::CastToItkImage(vol, itkvol); typedef itk::TensorImageToDiffusionImageFilter< TTensorPixelType, DiffusionPixelType > FilterType; FilterType::GradientListPointerType gradientList = FilterType::GradientListType::New(); switch(m_Controls->m_TensorsToDWINumDirsSelect->currentIndex()) { case 0: gradientList = MakeGradientList<12>(); break; case 1: gradientList = MakeGradientList<42>(); break; case 2: gradientList = MakeGradientList<92>(); break; case 3: gradientList = MakeGradientList<162>(); break; case 4: gradientList = MakeGradientList<252>(); break; case 5: gradientList = MakeGradientList<362>(); break; case 6: gradientList = MakeGradientList<492>(); break; case 7: gradientList = MakeGradientList<642>(); break; case 8: gradientList = MakeGradientList<812>(); break; case 9: gradientList = MakeGradientList<1002>(); break; default: gradientList = MakeGradientList<92>(); } double bVal = m_Controls->m_TensorsToDWIBValueEdit->text().toDouble(); // DWI ESTIMATION clock.Start(); MBI_INFO << "DWI Estimation "; mitk::StatusBar::GetInstance()->DisplayText(status.sprintf( "DWI Estimation for %s", nodename.c_str()).toLatin1()); FilterType::Pointer filter = FilterType::New(); filter->SetInput( itkvol ); filter->SetBValue(bVal); filter->SetGradientList(gradientList); //filter->SetNumberOfThreads(1); filter->Update(); clock.Stop(); MBI_DEBUG << "took " << clock.GetMean() << "s."; // TENSORS TO DATATREE mitk::Image::Pointer image = mitk::GrabItkImageMemory( filter->GetOutput() ); - image->SetProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( gradientList ) ); + image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( gradientList ) ); image->SetProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( bVal ) ); - image->SetProperty( mitk::DiffusionPropertyHelper::MEASUREMENTFRAMEPROPERTYNAME.c_str(), mitk::MeasurementFrameProperty::New() ); + image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::MEASUREMENTFRAMEPROPERTYNAME.c_str(), mitk::MeasurementFrameProperty::New() ); mitk::DiffusionPropertyHelper propertyHelper( image ); propertyHelper.InitializeImage(); mitk::DataNode::Pointer node=mitk::DataNode::New(); node->SetData( image ); mitk::ImageVtkMapper2D::SetDefaultProperties(node); node->SetName(nodename+"_DWI"); GetDataStorage()->Add(node, *itemiter); mitk::ProgressBar::GetInstance()->Progress(); ++itemiter; } mitk::StatusBar::GetInstance()->DisplayText(status.sprintf("Finished Processing %d Files", nrFiles).toLatin1()); this->GetRenderWindowPart()->RequestUpdate(); } catch (itk::ExceptionObject &ex) { MITK_INFO << ex ; QMessageBox::information(0, "DWI estimation failed:", ex.GetDescription()); return ; } } void QmitkTensorReconstructionView::PreviewThreshold(int threshold) { mitk::DataStorage::SetOfObjects::const_iterator itemiter( m_DiffusionImages->begin() ); mitk::DataStorage::SetOfObjects::const_iterator itemiterend( m_DiffusionImages->end() ); while ( itemiter != itemiterend ) // for all items { mitk::Image* vols = static_cast( (*itemiter)->GetData()); ITKDiffusionImageType::Pointer itkVectorImagePointer = ITKDiffusionImageType::New(); mitk::CastToItkImage(vols, itkVectorImagePointer); // Extract b0 image typedef itk::B0ImageExtractionImageFilter FilterType; FilterType::Pointer filterB0 = FilterType::New(); filterB0->SetInput(itkVectorImagePointer); filterB0->SetDirections(mitk::DiffusionPropertyHelper::GetGradientContainer(vols)); filterB0->Update(); mitk::Image::Pointer mitkImage = mitk::Image::New(); typedef itk::Image ImageType; typedef itk::Image SegmentationType; typedef itk::BinaryThresholdImageFilter ThresholdFilterType; // apply threshold ThresholdFilterType::Pointer filterThreshold = ThresholdFilterType::New(); filterThreshold->SetInput(filterB0->GetOutput()); filterThreshold->SetLowerThreshold(threshold); filterThreshold->SetInsideValue(0); filterThreshold->SetOutsideValue(1); // mark cut off values red filterThreshold->Update(); mitkImage->InitializeByItk( filterThreshold->GetOutput() ); mitkImage->SetVolume( filterThreshold->GetOutput()->GetBufferPointer() ); mitk::DataNode::Pointer node; if (this->GetDataStorage()->GetNamedDerivedNode("ThresholdOverlay", *itemiter)) { node = this->GetDataStorage()->GetNamedDerivedNode("ThresholdOverlay", *itemiter); } else { // create a new node, to show thresholded values node = mitk::DataNode::New(); GetDataStorage()->Add( node, *itemiter ); node->SetProperty( "name", mitk::StringProperty::New("ThresholdOverlay")); node->SetBoolProperty("helper object", true); } node->SetData( mitkImage ); itemiter++; mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } }