diff --git a/Modules/DiffusionImaging/DiffusionCmdApps/Fiberfox/Fiberfox.cpp b/Modules/DiffusionImaging/DiffusionCmdApps/Fiberfox/Fiberfox.cpp index 63015abb4f..01b3af6749 100755 --- a/Modules/DiffusionImaging/DiffusionCmdApps/Fiberfox/Fiberfox.cpp +++ b/Modules/DiffusionImaging/DiffusionCmdApps/Fiberfox/Fiberfox.cpp @@ -1,273 +1,263 @@ /*=================================================================== 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 #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("", "o", mitkCommandLineParser::OutputFile, "Output root:", "output root", us::Any(), false); parser.addArgument("", "i", mitkCommandLineParser::String, "Input:", "Input tractogram or diffusion-weighted image.", us::Any(), false); parser.addArgument("parameters", "p", mitkCommandLineParser::InputFile, "Parameter file:", "fiberfox parameter file (.ffp)", us::Any(), false); parser.addArgument("template", "t", mitkCommandLineParser::String, "Template image:", "Use parameters of the template diffusion-weighted image.", us::Any()); parser.addArgument("verbose", "v", mitkCommandLineParser::Bool, "Output additional images:", "output volume fraction images etc.", us::Any()); parser.addArgument("dont_apply_direction_matrix", "", mitkCommandLineParser::Bool, "Don't apply direction matrix:", "Don't rotate gradients by image direction matrix.", us::Any()); parser.addArgument("fix_seed", "", mitkCommandLineParser::Bool, "Use fix random seed:", "Always use same sequence of random numbers.", us::Any()); std::map parsedArgs = parser.parseArguments(argc, argv); if (parsedArgs.size()==0) { return EXIT_FAILURE; } std::string outName = us::any_cast(parsedArgs["o"]); std::string paramName = us::any_cast(parsedArgs["parameters"]); std::string input=""; if (parsedArgs.count("i")) input = us::any_cast(parsedArgs["i"]); bool fix_seed = false; if (parsedArgs.count("fix_seed")) fix_seed = us::any_cast(parsedArgs["fix_seed"]); bool verbose = false; if (parsedArgs.count("verbose")) verbose = us::any_cast(parsedArgs["verbose"]); bool apply_direction_matrix = true; if (parsedArgs.count("dont_apply_direction_matrix")) apply_direction_matrix = false; FiberfoxParameters parameters; parameters.LoadParameters(paramName, fix_seed); // Test if /path/dir is an existing directory: std::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; - } - 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())); if (parsedArgs.count("template")) { MITK_INFO << "Loading template image"; typedef itk::VectorImage< short, 3 > ItkDwiType; typedef itk::Image< short, 3 > ItkImageType; mitk::BaseData::Pointer templateData = mitk::IOUtil::Load(us::any_cast(parsedArgs["template"]), &functor)[0]; mitk::Image::Pointer template_image = dynamic_cast(templateData.GetPointer()); if (mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage(template_image)) { ItkDwiType::Pointer itkVectorImagePointer = mitk::DiffusionPropertyHelper::GetItkVectorImage(template_image); 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.SetBvalue(mitk::DiffusionPropertyHelper::GetReferenceBValue(template_image)); parameters.SetGradienDirections(mitk::DiffusionPropertyHelper::GetOriginalGradientContainer(template_image)); } else { ItkImageType::Pointer itkImagePointer = ItkImageType::New(); mitk::CastToItkImage(template_image, itkImagePointer); parameters.m_SignalGen.m_ImageRegion = itkImagePointer->GetLargestPossibleRegion(); parameters.m_SignalGen.m_ImageSpacing = itkImagePointer->GetSpacing(); parameters.m_SignalGen.m_ImageOrigin = itkImagePointer->GetOrigin(); parameters.m_SignalGen.m_ImageDirection = itkImagePointer->GetDirection(); } } } 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.SetBvalue(mitk::DiffusionPropertyHelper::GetReferenceBValue(diffImg)); parameters.SetGradienDirections(mitk::DiffusionPropertyHelper::GetOriginalGradientContainer(diffImg)); tractsToDwiFilter->SetInputImage(itkVectorImagePointer); } if (verbose) { MITK_DEBUG << outName << ".ffp"; parameters.SaveParameters(outName+".ffp"); } if (apply_direction_matrix) { MITK_INFO << "Applying direction matrix to gradient directions."; parameters.ApplyDirectionMatrix(); } tractsToDwiFilter->SetParameters(parameters); tractsToDwiFilter->SetUseConstantRandSeed(fix_seed); tractsToDwiFilter->Update(); mitk::Image::Pointer image = mitk::GrabItkImageMemory(tractsToDwiFilter->GetOutput()); if (apply_direction_matrix) mitk::DiffusionPropertyHelper::SetGradientContainer(image, parameters.m_SignalGen.GetItkGradientContainer()); else mitk::DiffusionPropertyHelper::SetOriginalGradientContainer(image, parameters.m_SignalGen.GetItkGradientContainer()); mitk::DiffusionPropertyHelper::SetReferenceBValue(image, parameters.m_SignalGen.GetBvalue()); mitk::DiffusionPropertyHelper::InitializeImage(image); if (file_extension=="") mitk::IOUtil::Save(image, "DWI_NIFTI", outName+".nii.gz"); else if (file_extension==".nii" || file_extension==".nii.gz") mitk::IOUtil::Save(image, "DWI_NIFTI", 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)+".nii.gz"); } 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.nii.gz"); } 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.nii.gz"); } int c = 1; std::vector< itk::TractsToDWIImageFilter< short >::DoubleDwiType::Pointer > output_real = tractsToDwiFilter->GetOutputImagesReal(); for (auto real : output_real) { mitk::Image::Pointer image = mitk::Image::New(); image->InitializeByItk(real.GetPointer()); image->SetVolume(real->GetBufferPointer()); mitk::IOUtil::Save(image, outName+"_Coil-"+boost::lexical_cast(c)+"-real.nii.gz"); ++c; } c = 1; std::vector< itk::TractsToDWIImageFilter< short >::DoubleDwiType::Pointer > output_imag = tractsToDwiFilter->GetOutputImagesImag(); for (auto imag : output_imag) { mitk::Image::Pointer image = mitk::Image::New(); image->InitializeByItk(imag.GetPointer()); image->SetVolume(imag->GetBufferPointer()); mitk::IOUtil::Save(image, outName+"_Coil-"+boost::lexical_cast(c)+"-imag.nii.gz"); ++c; } } return EXIT_SUCCESS; } diff --git a/Modules/DiffusionImaging/FiberTracking/Fiberfox/Sequences/mitkAcquisitionType.h b/Modules/DiffusionImaging/FiberTracking/Fiberfox/Sequences/mitkAcquisitionType.h index 24a7002828..91551e4a30 100644 --- a/Modules/DiffusionImaging/FiberTracking/Fiberfox/Sequences/mitkAcquisitionType.h +++ b/Modules/DiffusionImaging/FiberTracking/Fiberfox/Sequences/mitkAcquisitionType.h @@ -1,68 +1,67 @@ /*=================================================================== 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 _MITK_KspaceReadout_H #define _MITK_KspaceReadout_H #include #include namespace mitk { /** * \brief Abstract class for k-space acquisiton type (k-space trajectory and echo placement) * */ class AcquisitionType { public: AcquisitionType(FiberfoxParameters* parameters) { m_Parameters = parameters; kxMax = static_cast(m_Parameters->m_SignalGen.m_CroppedRegion.GetSize(0)); kyMax = static_cast(m_Parameters->m_SignalGen.m_CroppedRegion.GetSize(1)); } virtual ~AcquisitionType(){} - virtual float GetTimeFromMaxEcho(const itk::Index< 2 >& index) = 0; ///< Time from maximum echo intensity in milliseconds - virtual float GetRedoutTime(const itk::Index< 2 >& index) = 0; ///< Time passed since readout started in milliseconds - virtual float GetTimeFromRf(const itk::Index< 2 >& index) = 0; ///< Time passed since RF pulse was applied in milliseconds - virtual itk::Index< 2 > GetActualKspaceIndex(const itk::Index< 2 >& index) = 0; ///< Transfer simple image iterator index to desired k-space index (depends on k-space readout scheme) - virtual void AdjustEchoTime() = 0; ///< Depending on the k-space readout scheme and acquisition parameters the minimum TE varies. This has to be checked and adjusted in this method. + virtual float GetTimeFromMaxEcho(const int& tick) = 0; ///< Time from maximum echo intensity in milliseconds + virtual float GetTimeFromLastDiffusionGradient(const int& tick) = 0; ///< Time passed since readout started in milliseconds + virtual float GetTimeFromRf(const int& tick) = 0; ///< Time passed since RF pulse was applied in milliseconds + virtual itk::Index< 2 > GetActualKspaceIndex(const int& tick) = 0; ///< Transfer simple image iterator index to desired k-space index (depends on k-space readout scheme) + virtual void AdjustEchoTime() = 0; ///< Depending on the k-space readout scheme and acquisition parameters the minimum TE varies. This has to be checked and adjusted in this method. itk::Index< 2 > GetSymmetricIndex(const itk::Index< 2 >& index) { itk::Index< 2 > sym; - sym[0] = kxMax-index[0]-1; - sym[1] = kyMax-index[1]-1; + sym[0] = (kxMax-kxMax%2-index[0])%kxMax; + sym[1] = (kyMax-kyMax%2-index[1])%kyMax; return sym; } protected: - float m_NegTEhalf; ///< negative time to read half the k-space (needed to calculate the ms from the maximum echo); THIS IS NOT THE WELL KNOWN TE/2 SCANNER PARAMETER FiberfoxParameters* m_Parameters; itk::Size< 2 > m_Size; float dt; // time to read one k-space voxe int kxMax; int kyMax; }; } #endif diff --git a/Modules/DiffusionImaging/FiberTracking/Fiberfox/Sequences/mitkConventionalSpinEcho.h b/Modules/DiffusionImaging/FiberTracking/Fiberfox/Sequences/mitkConventionalSpinEcho.h index 2586dfd695..9655853a44 100644 --- a/Modules/DiffusionImaging/FiberTracking/Fiberfox/Sequences/mitkConventionalSpinEcho.h +++ b/Modules/DiffusionImaging/FiberTracking/Fiberfox/Sequences/mitkConventionalSpinEcho.h @@ -1,89 +1,90 @@ /*=================================================================== 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 _MITK_ConventionalSpinEcho_H #define _MITK_ConventionalSpinEcho_H #include namespace mitk { /** * \brief Conventional spin echo sequence. Cartesian readout. One echo and one excitation per k-space line. * */ class ConventionalSpinEcho : public AcquisitionType { public: + float half_read_time; ConventionalSpinEcho(FiberfoxParameters* parameters) : AcquisitionType(parameters) { dt = m_Parameters->m_SignalGen.m_tLine/kxMax; // time to read one k-space voxel - // maximum echo at center of each line - m_NegTEhalf = -dt*(kxMax-kxMax%2)/2; + half_read_time = kxMax * dt/2; } ~ConventionalSpinEcho() override {} // one echo per k-space line - float GetTimeFromMaxEcho(const itk::Index< 2 >& index) override + float GetTimeFromMaxEcho(const int& tick) override { - float t = 0; - t = m_NegTEhalf + static_cast(index[0])*dt; + float t = dt*(tick % kxMax + 0.5f) - half_read_time; return t; } - // time since current readout pulse started - float GetRedoutTime(const itk::Index< 2 >& index) override + float GetTimeFromLastDiffusionGradient(const int& tick) override { - return static_cast(index[0])*dt; + return (tick % kxMax)*dt; } // time from max-echo + TE - float GetTimeFromRf(const itk::Index< 2 >& index) override + float GetTimeFromRf(const int& tick) override { - return m_Parameters->m_SignalGen.m_tEcho + GetTimeFromMaxEcho(index); + return m_Parameters->m_SignalGen.m_tEcho + GetTimeFromMaxEcho(tick); } - itk::Index< 2 > GetActualKspaceIndex(const itk::Index< 2 >& index) override + itk::Index< 2 > GetActualKspaceIndex(const int& tick) override { - itk::Index< 2 > out_idx = index; + itk::Index< 2 > out_idx; + out_idx[0] = tick % kxMax; + out_idx[1] = tick / kxMax; + // reverse phase if (!m_Parameters->m_SignalGen.m_ReversePhase) out_idx[1] = kyMax-1-out_idx[1]; return out_idx; } void AdjustEchoTime() override { if ( m_Parameters->m_SignalGen.m_tEcho < m_Parameters->m_SignalGen.m_tLine ) { m_Parameters->m_SignalGen.m_tEcho = m_Parameters->m_SignalGen.m_tLine; MITK_WARN << "Echo time is too short! Time not sufficient to read slice. Automatically adjusted to " << m_Parameters->m_SignalGen.m_tEcho << " ms"; m_Parameters->m_Misc.m_AfterSimulationMessage += "Echo time was chosen too short! Time not sufficient to read slice. Internally adjusted to " + boost::lexical_cast(m_Parameters->m_SignalGen.m_tEcho) + " ms\n"; } } protected: }; } #endif diff --git a/Modules/DiffusionImaging/FiberTracking/Fiberfox/Sequences/mitkFastSpinEcho.h b/Modules/DiffusionImaging/FiberTracking/Fiberfox/Sequences/mitkFastSpinEcho.h index a70aa0ab01..399537366d 100644 --- a/Modules/DiffusionImaging/FiberTracking/Fiberfox/Sequences/mitkFastSpinEcho.h +++ b/Modules/DiffusionImaging/FiberTracking/Fiberfox/Sequences/mitkFastSpinEcho.h @@ -1,92 +1,94 @@ /*=================================================================== 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 _MITK_FastSpinEcho_H #define _MITK_FastSpinEcho_H #include namespace mitk { /** * \brief Fast spin echo sequence. Cartesian readout. * Echo spacing = TE */ class FastSpinEcho : public AcquisitionType { public: + unsigned int linesWithSameTime; + float half_read_time; FastSpinEcho(FiberfoxParameters* parameters) : AcquisitionType(parameters) { - m_LinesWithSameTime = static_cast(std::ceil(static_cast(kyMax)/m_Parameters->m_SignalGen.m_EchoTrainLength)); + linesWithSameTime = static_cast(std::ceil(static_cast(kyMax)/m_Parameters->m_SignalGen.m_EchoTrainLength)); dt = m_Parameters->m_SignalGen.m_tLine/kxMax; // time to read one k-space voxel - // maximum echo at center of each line - m_NegTEhalf = -dt*(kxMax-kxMax%2)/2; + half_read_time = kxMax * dt/2; } ~FastSpinEcho() override {} // one echo per k-space line - float GetTimeFromMaxEcho(const itk::Index< 2 >& index) override + float GetTimeFromMaxEcho(const int& tick) override { - return m_NegTEhalf + static_cast(index[0])*dt; + float t = dt*(tick % kxMax + 0.5f) - half_read_time; + return t; } - // time since current readout pulse started - float GetRedoutTime(const itk::Index< 2 >& index) override + float GetTimeFromLastDiffusionGradient(const int& tick) override { - return static_cast(index[0])*dt; + return (tick % kxMax)*dt; } // depends on ETL - float GetTimeFromRf(const itk::Index< 2 >& index) override + float GetTimeFromRf(const int& tick) override { - return m_Parameters->m_SignalGen.m_tEcho*std::ceil(static_cast(index[1]+1)/m_LinesWithSameTime) + GetTimeFromMaxEcho(index); + return m_Parameters->m_SignalGen.m_tEcho*std::ceil(static_cast(tick/kxMax+1)/linesWithSameTime) + GetTimeFromMaxEcho(tick); } - itk::Index< 2 > GetActualKspaceIndex(const itk::Index< 2 >& index) override + itk::Index< 2 > GetActualKspaceIndex(const int& tick) override { - itk::Index< 2 > out_idx = index; + itk::Index< 2 > out_idx; + out_idx[0] = tick % kxMax; + out_idx[1] = tick / kxMax; + // reverse phase if (!m_Parameters->m_SignalGen.m_ReversePhase) out_idx[1] = kyMax-1-out_idx[1]; - return index; + return out_idx; } void AdjustEchoTime() override { if ( m_Parameters->m_SignalGen.m_tEcho < m_Parameters->m_SignalGen.m_tLine ) { m_Parameters->m_SignalGen.m_tEcho = m_Parameters->m_SignalGen.m_tLine; MITK_WARN << "Echo time is too short! Time not sufficient to read slice. Automatically adjusted to " << m_Parameters->m_SignalGen.m_tEcho << " ms"; m_Parameters->m_Misc.m_AfterSimulationMessage += "Echo time was chosen too short! Time not sufficient to read slice. Internally adjusted to " + boost::lexical_cast(m_Parameters->m_SignalGen.m_tEcho) + " ms\n"; } } protected: - unsigned int m_LinesWithSameTime; - }; } #endif diff --git a/Modules/DiffusionImaging/FiberTracking/Fiberfox/Sequences/mitkSingleShotEpi.h b/Modules/DiffusionImaging/FiberTracking/Fiberfox/Sequences/mitkSingleShotEpi.h index bab5ef167a..7c33a381d0 100644 --- a/Modules/DiffusionImaging/FiberTracking/Fiberfox/Sequences/mitkSingleShotEpi.h +++ b/Modules/DiffusionImaging/FiberTracking/Fiberfox/Sequences/mitkSingleShotEpi.h @@ -1,100 +1,104 @@ /*=================================================================== 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 _MITK_SingleShotEpi_H #define _MITK_SingleShotEpi_H #include namespace mitk { /** * \brief Realizes EPI readout: one echo, maximum intensity in the k-space center, zig-zag trajectory * */ class SingleShotEpi : public AcquisitionType { public: + /* + TE + | dt | dt | dt | ... | + + Total read time: Nvox*dt = kxMax*kyMax*dt + + */ + float half_read_time; SingleShotEpi(FiberfoxParameters* parameters) : AcquisitionType(parameters) { dt = m_Parameters->m_SignalGen.m_tLine/kxMax; // time to read one k-space voxel - - // k-space center at maximum echo - if ( kyMax%2==0 ) - { - m_NegTEhalf = -m_Parameters->m_SignalGen.m_tLine*(kyMax-1)/2 + dt*(kxMax-kxMax%2)/2; - } - else - m_NegTEhalf = -m_Parameters->m_SignalGen.m_tLine*(kyMax-1)/2 - dt*(kxMax-kxMax%2)/2; + half_read_time = (kxMax*kyMax) * dt/2; } ~SingleShotEpi() override {} // one echo per slice - float GetTimeFromMaxEcho(const itk::Index< 2 >& index) override + float GetTimeFromMaxEcho(const int& tick) override { - float t = 0; - t = m_NegTEhalf + (static_cast(index[1])*kxMax+static_cast(index[0]))*dt; + float t = dt*(static_cast(tick) + 0.5f) - half_read_time; return t; } - float GetRedoutTime(const itk::Index< 2 >& index) override + // we simply assume that readout starts directly after the last diffusion gradient + float GetTimeFromLastDiffusionGradient(const int& tick) override { - float t = 0; - t = (static_cast(index[1])*kxMax+static_cast(index[0]))*dt; - return t; + return tick*dt + dt/2; } - float GetTimeFromRf(const itk::Index< 2 >& index) override + float GetTimeFromRf(const int& tick) override { - return m_Parameters->m_SignalGen.m_tEcho + GetTimeFromMaxEcho(index); + return m_Parameters->m_SignalGen.m_tEcho + GetTimeFromMaxEcho(tick); } - itk::Index< 2 > GetActualKspaceIndex(const itk::Index< 2 >& index) override + itk::Index< 2 > GetActualKspaceIndex(const int& tick) override { - itk::Index< 2 > out_idx = index; - // reverse phase + itk::Index< 2 > out_idx; + out_idx[0] = tick % kxMax; + out_idx[1] = tick / kxMax; + if (!m_Parameters->m_SignalGen.m_ReversePhase) - out_idx[1] = kyMax-1-out_idx[1]; + { + out_idx[1] = kyMax-1-out_idx[1]; // in the not reversed case we start at the maximum k-space line - // reverse readout direction - if (out_idx[1]%2 == 1) + if (out_idx[1]%2 == 1) // reverse frequency encoding direction + out_idx[0] = kxMax-out_idx[0]-1; + } + else if (out_idx[1]%2) // reverse frequency encoding direction out_idx[0] = kxMax-out_idx[0]-1; return out_idx; } void AdjustEchoTime() override { auto temp = m_Parameters->m_SignalGen.m_CroppedRegion.GetSize(1)*m_Parameters->m_SignalGen.m_PartialFourier - (m_Parameters->m_SignalGen.m_CroppedRegion.GetSize(1)+m_Parameters->m_SignalGen.m_CroppedRegion.GetSize(1)%2)/2; if ( m_Parameters->m_SignalGen.m_tEcho/2 < temp*m_Parameters->m_SignalGen.m_tLine ) { m_Parameters->m_SignalGen.m_tEcho = 2*temp*m_Parameters->m_SignalGen.m_tLine; MITK_WARN << "Echo time is too short! Time not sufficient to read slice. Automatically adjusted to " << m_Parameters->m_SignalGen.m_tEcho << " ms"; m_Parameters->m_Misc.m_AfterSimulationMessage += "Echo time was chosen too short! Time not sufficient to read slice. Internally adjusted to " + boost::lexical_cast(m_Parameters->m_SignalGen.m_tEcho) + " ms\n"; } } protected: }; } #endif diff --git a/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkDftImageFilter.cpp b/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkDftImageFilter.cpp index 030aa00204..bc98defebd 100644 --- a/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkDftImageFilter.cpp +++ b/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkDftImageFilter.cpp @@ -1,82 +1,94 @@ /*=================================================================== 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 __itkDftImageFilter_txx #define __itkDftImageFilter_txx #include #include #include #include "itkDftImageFilter.h" #include #include #include namespace itk { template< class TPixelType > DftImageFilter< TPixelType > ::DftImageFilter() { this->SetNumberOfRequiredInputs( 1 ); } template< class TPixelType > void DftImageFilter< TPixelType > ::BeforeThreadedGenerateData() { } template< class TPixelType > void DftImageFilter< TPixelType > ::ThreadedGenerateData(const OutputImageRegionType& outputRegionForThread, ThreadIdType) { typename OutputImageType::Pointer outputImage = static_cast< OutputImageType * >(this->ProcessObject::GetOutput(0)); ImageRegionIterator< OutputImageType > oit(outputImage, outputRegionForThread); typedef ImageRegionConstIterator< InputImageType > InputIteratorType; typename InputImageType::Pointer inputImage = static_cast< InputImageType * >( this->ProcessObject::GetInput(0) ); float szx = outputImage->GetLargestPossibleRegion().GetSize(0); float szy = outputImage->GetLargestPossibleRegion().GetSize(1); + float x_shift = 0; + float y_shift = 0; + if (static_cast(szx)%2==1) + x_shift = (szx-1)/2; + else + x_shift = szx/2; + if (static_cast(szy)%2==1) + y_shift = (szy-1)/2; + else + y_shift = szy/2; + while( !oit.IsAtEnd() ) { - float kx = oit.GetIndex()[0] - (szx-1)/2; - float ky = oit.GetIndex()[1] - (szy-1)/2; + float kx = oit.GetIndex()[0] - x_shift; + float ky = oit.GetIndex()[1] - y_shift; kx /= szx; ky /= szy; vcl_complex s(0,0); InputIteratorType it(inputImage, inputImage->GetLargestPossibleRegion() ); while( !it.IsAtEnd() ) { - float x = it.GetIndex()[0] - (szx-1)/2; - float y = it.GetIndex()[1] - (szy-1)/2; + float x = it.GetIndex()[0] - x_shift; + float y = it.GetIndex()[1] - y_shift; + s += it.Get() * exp( std::complex(0, -itk::Math::twopi * (kx*x + ky*y) ) ); ++it; } oit.Set(s); ++oit; } } } #endif diff --git a/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkKspaceImageFilter.cpp b/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkKspaceImageFilter.cpp index d821927958..ee1c3d3df1 100644 --- a/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkKspaceImageFilter.cpp +++ b/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkKspaceImageFilter.cpp @@ -1,446 +1,497 @@ /*=================================================================== 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 __itkKspaceImageFilter_txx #define __itkKspaceImageFilter_txx //#endif #include #include #include #include #include "itkKspaceImageFilter.h" #include #include #include #include #include #include #include +#include namespace itk { template< class ScalarType > KspaceImageFilter< ScalarType >::KspaceImageFilter() : m_Z(0) , m_RandSeed(-1) , m_SpikesPerSlice(0) , m_IsBaseline(true) { m_DiffusionGradientDirection.Fill(0.0); m_CoilPosition.Fill(0.0); } template< class ScalarType > void KspaceImageFilter< ScalarType > ::BeforeThreadedGenerateData() { m_Spike = vcl_complex(0,0); m_SpikeLog = ""; m_TransX = -m_Translation[0]; m_TransY = -m_Translation[1]; m_TransZ = -m_Translation[2]; kxMax = m_Parameters->m_SignalGen.m_CroppedRegion.GetSize(0); kyMax = m_Parameters->m_SignalGen.m_CroppedRegion.GetSize(1); xMax = m_CompartmentImages.at(0)->GetLargestPossibleRegion().GetSize(0); // scanner coverage in x-direction yMax = m_CompartmentImages.at(0)->GetLargestPossibleRegion().GetSize(1); // scanner coverage in y-direction yMaxFov = yMax; if (m_Parameters->m_Misc.m_DoAddAliasing) { - yMaxFov *= m_Parameters->m_SignalGen.m_CroppingFactor; // actual FOV in y-direction (in x-direction FOV=xMax) - yMaxFov = std::ceil(yMaxFov); + // actual FOV in y-direction (in x-direction FOV=xMax) + yMaxFov = static_cast(yMaxFov * m_Parameters->m_SignalGen.m_CroppingFactor); } yMaxFov_half = (yMaxFov-1)/2; numPix = kxMax*kyMax; float ringing_factor = static_cast(m_Parameters->m_SignalGen.m_ZeroRinging)/100.0; ringing_lines_x = static_cast(ceil(kxMax/2 * ringing_factor)); ringing_lines_y = static_cast(ceil(kyMax/2 * ringing_factor)); // Adjust noise variance since it is the intended variance in physical space and not in k-space: float noiseVar = m_Parameters->m_SignalGen.m_PartialFourier*m_Parameters->m_SignalGen.m_NoiseVariance/(kyMax*kxMax); m_RandGen = itk::Statistics::MersenneTwisterRandomVariateGenerator::New(); if (m_RandSeed>=0) // always generate the same random numbers? m_RandGen->SetSeed(m_RandSeed); else m_RandGen->SetSeed(); typename OutputImageType::Pointer outputImage = OutputImageType::New(); itk::ImageRegion<2> region; region.SetSize(0, m_Parameters->m_SignalGen.m_CroppedRegion.GetSize(0)); region.SetSize(1, m_Parameters->m_SignalGen.m_CroppedRegion.GetSize(1)); outputImage->SetLargestPossibleRegion( region ); outputImage->SetBufferedRegion( region ); outputImage->SetRequestedRegion( region ); outputImage->Allocate(); vcl_complex zero = vcl_complex(0, 0); outputImage->FillBuffer(zero); if (m_Parameters->m_SignalGen.m_NoiseVariance>0 && m_Parameters->m_Misc.m_DoAddNoise) { ImageRegionIterator< OutputImageType > oit(outputImage, outputImage->GetLargestPossibleRegion()); while( !oit.IsAtEnd() ) { oit.Set(vcl_complex(m_RandGen->GetNormalVariate(0, noiseVar), m_RandGen->GetNormalVariate(0, noiseVar))); ++oit; } } m_KSpaceImage = InputImageType::New(); m_KSpaceImage->SetLargestPossibleRegion( region ); m_KSpaceImage->SetBufferedRegion( region ); m_KSpaceImage->SetRequestedRegion( region ); m_KSpaceImage->Allocate(); m_KSpaceImage->FillBuffer(0.0); - m_Gamma = 42576000; // Gyromagnetic ratio in Hz/T (1.5T) +// m_TickImage = InputImageType::New(); +// m_TickImage->SetLargestPossibleRegion( region ); +// m_TickImage->SetBufferedRegion( region ); +// m_TickImage->SetRequestedRegion( region ); +// m_TickImage->Allocate(); +// m_TickImage->FillBuffer(-1.0); + + m_Gamma = 42576000*itk::Math::twopi; // Gyromagnetic ratio in Hz/T (1.5T) if ( m_Parameters->m_SignalGen.m_EddyStrength>0 && m_DiffusionGradientDirection.GetNorm()>0.001) { - m_DiffusionGradientDirection.Normalize(); m_DiffusionGradientDirection = m_DiffusionGradientDirection * m_Parameters->m_SignalGen.m_EddyStrength/1000 * m_Gamma; m_IsBaseline = false; } + else { + m_IsBaseline = true; + } this->SetNthOutput(0, outputImage); for (int i=0; i<3; i++) for (int j=0; j<3; j++) m_Transform[i][j] = m_Parameters->m_SignalGen.m_ImageDirection[i][j] * m_Parameters->m_SignalGen.m_ImageSpacing[j]/1000; float a = m_Parameters->m_SignalGen.m_ImageRegion.GetSize(0)*m_Parameters->m_SignalGen.m_ImageSpacing[0]; float b = m_Parameters->m_SignalGen.m_ImageRegion.GetSize(1)*m_Parameters->m_SignalGen.m_ImageSpacing[1]; float diagonal = sqrt(a*a+b*b)/1000; // image diagonal in m switch (m_Parameters->m_SignalGen.m_CoilSensitivityProfile) { case SignalGenerationParameters::COIL_CONSTANT: { m_CoilSensitivityFactor = 1; // same signal everywhere break; } case SignalGenerationParameters::COIL_LINEAR: { m_CoilSensitivityFactor = -1/diagonal; // about 50% of the signal in the image center remaining break; } case SignalGenerationParameters::COIL_EXPONENTIAL: { m_CoilSensitivityFactor = -log(0.1)/diagonal; // about 32% of the signal in the image center remaining break; } } switch (m_Parameters->m_SignalGen.m_AcquisitionType) { case SignalGenerationParameters::SingleShotEpi: m_ReadoutScheme = new mitk::SingleShotEpi(m_Parameters); break; case SignalGenerationParameters::ConventionalSpinEcho: m_ReadoutScheme = new mitk::ConventionalSpinEcho(m_Parameters); break; case SignalGenerationParameters::FastSpinEcho: m_ReadoutScheme = new mitk::FastSpinEcho(m_Parameters); break; default: m_ReadoutScheme = new mitk::SingleShotEpi(m_Parameters); } m_ReadoutScheme->AdjustEchoTime(); m_MovedFmap = nullptr; if (m_Parameters->m_Misc.m_DoAddDistortions && m_Parameters->m_SignalGen.m_FrequencyMap.IsNotNull() && m_Parameters->m_SignalGen.m_DoAddMotion) { // we have to account for the head motion since this also moves our frequency map itk::LinearInterpolateImageFunction< itk::Image< float, 3 >, float >::Pointer fmapInterpolator; fmapInterpolator = itk::LinearInterpolateImageFunction< itk::Image< float, 3 >, float >::New(); fmapInterpolator->SetInputImage(m_Parameters->m_SignalGen.m_FrequencyMap); m_MovedFmap = itk::Image< ScalarType, 2 >::New(); m_MovedFmap->SetLargestPossibleRegion( m_CompartmentImages.at(0)->GetLargestPossibleRegion() ); m_MovedFmap->SetBufferedRegion( m_CompartmentImages.at(0)->GetLargestPossibleRegion() ); m_MovedFmap->SetRequestedRegion( m_CompartmentImages.at(0)->GetLargestPossibleRegion() ); m_MovedFmap->Allocate(); m_MovedFmap->FillBuffer(0); ImageRegionIterator< InputImageType > it(m_MovedFmap, m_MovedFmap->GetLargestPossibleRegion() ); while( !it.IsAtEnd() ) { itk::Image::IndexType index; index[0] = it.GetIndex()[0]; index[1] = it.GetIndex()[1]; index[2] = m_Zidx; itk::Point point3D; m_Parameters->m_SignalGen.m_FrequencyMap->TransformIndexToPhysicalPoint(index, point3D); m_FiberBundle->TransformPoint( point3D, m_RotationMatrix, m_TransX, m_TransY, m_TransZ ); it.Set(mitk::imv::GetImageValue(point3D, true, fmapInterpolator)); ++it; } } // calculate T1 relaxation (independent of actual readout) m_T1Relax.clear(); if ( m_Parameters->m_SignalGen.m_DoSimulateRelaxation) for (unsigned int i=0; im_SignalGen.m_tRep/m_T1[i])); // account for inversion pulse and TI if (m_Parameters->m_SignalGen.m_tInv > 0) relaxation *= (1.0-std::exp(std::log(2) - m_Parameters->m_SignalGen.m_tInv/m_T1[i])); m_T1Relax.push_back(relaxation); } } template< class ScalarType > float KspaceImageFilter< ScalarType >::CoilSensitivity(VectorType& pos) { // ************************************************************************* // Coil ring is moving with excited slice (FIX THIS SOMETIME) m_CoilPosition[2] = pos[2]; // ************************************************************************* switch (m_Parameters->m_SignalGen.m_CoilSensitivityProfile) { case SignalGenerationParameters::COIL_CONSTANT: return 1; case SignalGenerationParameters::COIL_LINEAR: { VectorType diff = pos-m_CoilPosition; float sens = diff.GetNorm()*m_CoilSensitivityFactor + 1; if (sens<0) sens = 0; return sens; } case SignalGenerationParameters::COIL_EXPONENTIAL: { VectorType diff = pos-m_CoilPosition; float dist = static_cast(diff.GetNorm()); return std::exp(-dist*m_CoilSensitivityFactor); } default: return 1; } } template< class ScalarType > void KspaceImageFilter< ScalarType > ::ThreadedGenerateData(const OutputImageRegionType& outputRegionForThread, ThreadIdType ) { typename OutputImageType::Pointer outputImage = static_cast< OutputImageType * >(this->ProcessObject::GetOutput(0)); - ImageRegionIterator< OutputImageType > oit(outputImage, outputRegionForThread); - typedef ImageRegionConstIterator< InputImageType > InputIteratorType; + // precalculate shifts for DFT + float x_shift = 0; + float y_shift = 0; + if (static_cast(xMax)%2==1) + x_shift = (xMax-1)/2; + else + x_shift = xMax/2; + if (static_cast(yMax)%2==1) + y_shift = (yMax-1)/2; + else + y_shift = yMax/2; + + float kx_shift = 0; + float ky_shift = 0; + if (static_cast(kxMax)%2==1) + kx_shift = (kxMax-1)/2; + else + kx_shift = kxMax/2; + if (static_cast(kyMax)%2==1) + ky_shift = (kyMax-1)/2; + else + ky_shift = kyMax/2; + vcl_complex zero = vcl_complex(0, 0); while( !oit.IsAtEnd() ) { - typename OutputImageType::IndexType out_idx = oit.GetIndex(); + int tick = oit.GetIndex()[1] * kxMax + oit.GetIndex()[0]; // get current k-space index (depends on the chosen k-space readout scheme) - itk::Index< 2 > kIdx = m_ReadoutScheme->GetActualKspaceIndex(out_idx); + itk::Index< 2 > kIdx = m_ReadoutScheme->GetActualKspaceIndex(tick); + + // we have to adjust the ticks to obtain correct times since the DFT is not completely symmetric in the even number of lines case + if (static_cast(kyMax)%2 == 0 && !m_Parameters->m_SignalGen.m_ReversePhase) + { + tick += kxMax; + tick %= static_cast(numPix); + } // partial fourier // two cases because we always want to skip the "later" parts of k-space // in "normal" phase direction, the higher k-space indices are acquired first // in reversed phase direction, the higher k-space indices are acquired later + // if the image has an even number of lines, never skip line zero since it is missing on the other side (DFT not completely syymetric in even case) if ((m_Parameters->m_SignalGen.m_ReversePhase && kIdx[1]>std::ceil(kyMax*m_Parameters->m_SignalGen.m_PartialFourier)) || - (!m_Parameters->m_SignalGen.m_ReversePhase && kIdx[1]m_SignalGen.m_PartialFourier)))) + (!m_Parameters->m_SignalGen.m_ReversePhase && kIdx[1]m_SignalGen.m_PartialFourier)) && + (kIdx[1]>0 || static_cast(kyMax)%2 == 1))) { outputImage->SetPixel(kIdx, zero); ++oit; continue; } +// m_TickImage->SetPixel(kIdx, tick); // gibbs ringing by setting high frequencies to zero (alternative to using smaller k-space than input image space) if (m_Parameters->m_SignalGen.m_DoAddGibbsRinging && m_Parameters->m_SignalGen.m_ZeroRinging>0) { if (kIdx[0] < ringing_lines_x || kIdx[1] < ringing_lines_y || kIdx[0] >= kxMax - ringing_lines_x || kIdx[1] >= kyMax - ringing_lines_y) { outputImage->SetPixel(kIdx, zero); ++oit; continue; } } - // shift k for DFT: (0 -- N) --> (-N/2 -- N/2) - float kx = kIdx[0] - (kxMax-1)/2; - float ky = kIdx[1] - (kyMax-1)/2; - - // time from maximum echo - float t = m_ReadoutScheme->GetTimeFromMaxEcho(out_idx); - // time passes since application of the RF pulse - float tRf = m_ReadoutScheme->GetTimeFromRf(out_idx); + float tRf = m_ReadoutScheme->GetTimeFromRf(tick); // calculate eddy current decay factor - // (TODO: vielleicht umbauen dass hier die zeit vom letzten diffusionsgradienten an genommen wird. doku dann auch entsprechend anpassen.) float eddyDecay = 0; if ( m_Parameters->m_Misc.m_DoAddEddyCurrents && m_Parameters->m_SignalGen.m_EddyStrength>0 && !m_IsBaseline) { // time passed since k-space readout started - float tRead = m_ReadoutScheme->GetRedoutTime(out_idx); - eddyDecay = std::exp(-tRead/m_Parameters->m_SignalGen.m_Tau ); + float tRead = m_ReadoutScheme->GetTimeFromLastDiffusionGradient(tick); + eddyDecay = std::exp(-tRead/m_Parameters->m_SignalGen.m_Tau ) * tRead/1000; // time in seconds here } // calcualte signal relaxation factors std::vector< float > relaxFactor; if ( m_Parameters->m_SignalGen.m_DoSimulateRelaxation) + { + // time from maximum echo + float t = m_ReadoutScheme->GetTimeFromMaxEcho(tick); for (unsigned int i=0; im_SignalGen.m_tInhom)); } + } + + // shift k for DFT: (0 -- N) --> (-N/2 -- N/2) + float kx = kIdx[0] - kx_shift; + float ky = kIdx[1] - ky_shift; // add ghosting by adding gradient delay induced offset if (m_Parameters->m_Misc.m_DoAddGhosts) { if (kIdx[1]%2 == 1) kx -= m_Parameters->m_SignalGen.m_KspaceLineOffset; else kx += m_Parameters->m_SignalGen.m_KspaceLineOffset; } // pull stuff out of inner loop - t /= 1000; + tRf /= 1000; // time in seconds kx /= xMax; ky /= yMaxFov; // calculate signal s at k-space position (kx, ky) vcl_complex s(0,0); InputIteratorType it(m_CompartmentImages[0], m_CompartmentImages[0]->GetLargestPossibleRegion() ); while( !it.IsAtEnd() ) { typename InputImageType::IndexType input_idx = it.GetIndex(); // shift x,y for DFT: (0 -- N) --> (-N/2 -- N/2) - float x = input_idx[0] - (xMax-1)/2; - float y = input_idx[1] - (yMax-1)/2; + float x = input_idx[0] - x_shift; + float y = input_idx[1] - y_shift; // sum compartment signals and simulate relaxation ScalarType f_real = 0; for (unsigned int i=0; im_SignalGen.m_DoSimulateRelaxation) - f_real += m_CompartmentImages[i]->GetPixel(input_idx) * relaxFactor[i] * m_Parameters->m_SignalGen.m_SignalScale; + f_real += m_CompartmentImages[i]->GetPixel(input_idx) * relaxFactor[i]; else - f_real += m_CompartmentImages[i]->GetPixel(input_idx) * m_Parameters->m_SignalGen.m_SignalScale; + f_real += m_CompartmentImages[i]->GetPixel(input_idx); // vector from image center to current position (in meter) // only necessary for eddy currents and non-constant coil sensitivity VectorType pos; if ((m_Parameters->m_Misc.m_DoAddEddyCurrents && m_Parameters->m_SignalGen.m_EddyStrength>0 && !m_IsBaseline) || m_Parameters->m_SignalGen.m_CoilSensitivityProfile!=SignalGenerationParameters::COIL_CONSTANT) { pos[0] = x; pos[1] = y; pos[2] = m_Z; pos = m_Transform*pos; } if (m_Parameters->m_SignalGen.m_CoilSensitivityProfile!=SignalGenerationParameters::COIL_CONSTANT) f_real *= CoilSensitivity(pos); // simulate eddy currents and other distortions float omega = 0; // frequency offset if ( m_Parameters->m_Misc.m_DoAddEddyCurrents && m_Parameters->m_SignalGen.m_EddyStrength>0 && !m_IsBaseline) + { + // duration (tRead) already included in "eddyDecay" omega += (m_DiffusionGradientDirection[0]*pos[0]+m_DiffusionGradientDirection[1]*pos[1]+m_DiffusionGradientDirection[2]*pos[2]) * eddyDecay; + } // simulate distortions if (m_Parameters->m_Misc.m_DoAddDistortions) { if (m_MovedFmap.IsNotNull()) // if we have headmotion, use moved map - omega += m_MovedFmap->GetPixel(input_idx); + omega += m_MovedFmap->GetPixel(input_idx) * tRf; else if (m_Parameters->m_SignalGen.m_FrequencyMap.IsNotNull()) { itk::Image::IndexType index; index[0] = input_idx[0]; index[1] = input_idx[1]; index[2] = m_Zidx; - omega += m_Parameters->m_SignalGen.m_FrequencyMap->GetPixel(index); + omega += m_Parameters->m_SignalGen.m_FrequencyMap->GetPixel(index) * tRf; } } // if signal comes from outside FOV, mirror it back (wrap-around artifact - aliasing if (m_Parameters->m_Misc.m_DoAddAliasing) { if (y<-yMaxFov_half) y += yMaxFov; else if (y>yMaxFov_half) y -= yMaxFov; } // actual DFT term - vcl_complex f(f_real, 0); - s += f * std::exp( std::complex(0, itk::Math::twopi * (kx*x + ky*y + omega*t )) ); + vcl_complex f(f_real * m_Parameters->m_SignalGen.m_SignalScale, 0); + s += f * std::exp( std::complex(0, itk::Math::twopi * (kx*x + ky*y + omega )) ); ++it; } s /= numPix; if (m_SpikesPerSlice>0 && sqrt(s.imag()*s.imag()+s.real()*s.real()) > sqrt(m_Spike.imag()*m_Spike.imag()+m_Spike.real()*m_Spike.real()) ) m_Spike = s; s += outputImage->GetPixel(kIdx); // add precalculated noise outputImage->SetPixel(kIdx, s); m_KSpaceImage->SetPixel(kIdx, sqrt(s.imag()*s.imag()+s.real()*s.real()) ); ++oit; } } template< class ScalarType > void KspaceImageFilter< ScalarType > ::AfterThreadedGenerateData() { typename OutputImageType::Pointer outputImage = static_cast< OutputImageType * >(this->ProcessObject::GetOutput(0)); int kxMax = outputImage->GetLargestPossibleRegion().GetSize(0); // k-space size in x-direction int kyMax = outputImage->GetLargestPossibleRegion().GetSize(1); // k-space size in y-direction ImageRegionIterator< OutputImageType > oit(outputImage, outputImage->GetLargestPossibleRegion()); while( !oit.IsAtEnd() ) // use hermitian k-space symmetry to fill empty k-space parts resulting from partial fourier acquisition { - auto kIdx = m_ReadoutScheme->GetActualKspaceIndex(oit.GetIndex()); + int tick = oit.GetIndex()[1] * kxMax + oit.GetIndex()[0]; + auto kIdx = m_ReadoutScheme->GetActualKspaceIndex(tick); if ((m_Parameters->m_SignalGen.m_ReversePhase && kIdx[1]>std::ceil(kyMax*m_Parameters->m_SignalGen.m_PartialFourier)) || - (!m_Parameters->m_SignalGen.m_ReversePhase && kIdx[1]m_SignalGen.m_PartialFourier)))) + (!m_Parameters->m_SignalGen.m_ReversePhase && kIdx[1]m_SignalGen.m_PartialFourier)) && + (kIdx[1]>0 || static_cast(kyMax)%2 == 1))) { // calculate symmetric index auto sym = m_ReadoutScheme->GetSymmetricIndex(kIdx); // use complex conjugate of symmetric index value at current index vcl_complex s = outputImage->GetPixel(sym); s = vcl_complex(s.real(), -s.imag()); outputImage->SetPixel(kIdx, s); m_KSpaceImage->SetPixel(kIdx, sqrt(s.imag()*s.imag()+s.real()*s.real()) ); } ++oit; } m_Spike *= m_Parameters->m_SignalGen.m_SpikeAmplitude; itk::Index< 2 > spikeIdx; for (unsigned int i=0; iGetIntegerVariate()%kxMax; spikeIdx[1] = m_RandGen->GetIntegerVariate()%kyMax; outputImage->SetPixel(spikeIdx, m_Spike); m_SpikeLog += "[" + boost::lexical_cast(spikeIdx[0]) + "," + boost::lexical_cast(spikeIdx[1]) + "," + boost::lexical_cast(m_Zidx) + "] Magnitude: " + boost::lexical_cast(m_Spike.real()) + "+" + boost::lexical_cast(m_Spike.imag()) + "i\n"; } delete m_ReadoutScheme; + +// typename itk::ImageFileWriter< InputImageType >::Pointer wr = itk::ImageFileWriter< InputImageType >::New(); +// wr->SetInput(m_TickImage); +// wr->SetFileName("/home/neher/TimeFromRfImage.nii.gz"); +// wr->Update(); } } #endif diff --git a/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkKspaceImageFilter.h b/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkKspaceImageFilter.h index 889adb0f45..132d92b52f 100644 --- a/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkKspaceImageFilter.h +++ b/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkKspaceImageFilter.h @@ -1,157 +1,156 @@ /*=================================================================== 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. ===================================================================*/ /*=================================================================== This file is based heavily on a corresponding ITK filter. ===================================================================*/ #ifndef __itkKspaceImageFilter_h_ #define __itkKspaceImageFilter_h_ #include #include #include #include #include #include #include #include namespace itk{ /** * \brief Simulates k-space acquisition of one slice with a single shot EPI sequence. Enables the simulation of various effects occuring during real MR acquisitions: * - T2 signal relaxation * - Spikes * - N/2 Ghosts * - Aliasing (wrap around) * - Image distortions (off-frequency effects) * - Gibbs ringing * - Eddy current effects * Based on a discrete fourier transformation. * See "Fiberfox: Facilitating the creation of realistic white matter software phantoms" (DOI: 10.1002/mrm.25045) for details. */ template< class ScalarType > class KspaceImageFilter : public ImageSource< Image< vcl_complex< ScalarType >, 2 > > { public: typedef KspaceImageFilter Self; typedef SmartPointer Pointer; typedef SmartPointer ConstPointer; typedef ImageSource< Image< vcl_complex< ScalarType >, 2 > > Superclass; /** Method for creation through the object factory. */ itkFactorylessNewMacro(Self) itkCloneMacro(Self) /** Runtime information support. */ itkTypeMacro(KspaceImageFilter, ImageToImageFilter) typedef typename itk::Image< ScalarType, 2 > InputImageType; typedef typename InputImageType::Pointer InputImagePointerType; typedef typename Superclass::OutputImageType OutputImageType; typedef typename Superclass::OutputImageRegionType OutputImageRegionType; typedef itk::Matrix MatrixType; typedef itk::Point Point2D; typedef itk::Vector< float,3> VectorType; itkSetMacro( SpikesPerSlice, unsigned int ) ///< Number of spikes per slice. Corresponding parameter in fiberfox parameter object specifies the number of spikes for the whole image and can thus not be used here. itkSetMacro( Z, double ) ///< Slice position, necessary for eddy current simulation. itkSetMacro( RandSeed, int ) ///< Use constant seed for random generator for reproducible results. itkSetMacro( Translation, VectorType ) itkSetMacro( RotationMatrix, MatrixType ) itkSetMacro( Zidx, int ) itkSetMacro( FiberBundle, FiberBundle::Pointer ) itkSetMacro( CoilPosition, VectorType ) itkGetMacro( KSpaceImage, typename InputImageType::Pointer ) ///< k-space magnitude image itkGetMacro( SpikeLog, std::string ) void SetParameters( FiberfoxParameters* param ){ m_Parameters = param; } void SetCompartmentImages( std::vector< InputImagePointerType > cImgs ) { m_CompartmentImages=cImgs; } ///< One signal image per compartment. void SetT2( std::vector< float > t2Vector ) { m_T2=t2Vector; } ///< One T2 relaxation constant per compartment image. void SetT1( std::vector< float > t1Vector ) { m_T1=t1Vector; } ///< One T1 relaxation constant per compartment image. void SetDiffusionGradientDirection(itk::Vector g) { m_DiffusionGradientDirection=g; } ///< Gradient direction is needed for eddy current simulation. protected: KspaceImageFilter(); ~KspaceImageFilter() override {} float CoilSensitivity(VectorType& pos); void BeforeThreadedGenerateData() override; void ThreadedGenerateData( const OutputImageRegionType &outputRegionForThread, ThreadIdType threadID) override; void AfterThreadedGenerateData() override; VectorType m_CoilPosition; FiberfoxParameters* m_Parameters; std::vector< float > m_T2; std::vector< float > m_T1; std::vector< float > m_T1Relax; std::vector< InputImagePointerType > m_CompartmentImages; itk::Vector m_DiffusionGradientDirection; float m_Z; int m_Zidx; int m_RandSeed; itk::Statistics::MersenneTwisterRandomVariateGenerator::Pointer m_RandGen; unsigned int m_SpikesPerSlice; FiberBundle::Pointer m_FiberBundle; float m_Gamma; VectorType m_Translation; ///< used to find correct point in frequency map (head motion) MatrixType m_RotationMatrix; float m_TransX; float m_TransY; float m_TransZ; bool m_IsBaseline; vcl_complex m_Spike; MatrixType m_Transform; std::string m_SpikeLog; float m_CoilSensitivityFactor; typename InputImageType::Pointer m_KSpaceImage; - typename InputImageType::Pointer m_TimeFromEchoImage; - typename InputImageType::Pointer m_ReadoutTimeImage; + typename InputImageType::Pointer m_TickImage; AcquisitionType* m_ReadoutScheme; typename itk::Image< ScalarType, 2 >::Pointer m_MovedFmap; int ringing_lines_x; int ringing_lines_y; float kxMax; float kyMax; float xMax; float yMax; float yMaxFov; float yMaxFov_half; float numPix; private: }; } #ifndef ITK_MANUAL_INSTANTIATION #include "itkKspaceImageFilter.cpp" #endif #endif //__itkKspaceImageFilter_h_ diff --git a/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkTractsToDWIImageFilter.cpp b/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkTractsToDWIImageFilter.cpp index fb9b90c8ee..a4246ca1e1 100755 --- a/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkTractsToDWIImageFilter.cpp +++ b/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkTractsToDWIImageFilter.cpp @@ -1,1749 +1,1749 @@ /*=================================================================== 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 "itkTractsToDWIImageFilter.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 #include #include #include #include #include #include #include #include #include #include #include #include namespace itk { template< class PixelType > TractsToDWIImageFilter< PixelType >::TractsToDWIImageFilter() : m_StatusText("") , m_UseConstantRandSeed(false) , m_RandGen(itk::Statistics::MersenneTwisterRandomVariateGenerator::New()) { m_DoubleInterpolator = itk::LinearInterpolateImageFunction< ItkDoubleImgType, float >::New(); m_NullDir.Fill(0); } template< class PixelType > TractsToDWIImageFilter< PixelType >::~TractsToDWIImageFilter() { } template< class PixelType > TractsToDWIImageFilter< PixelType >::DoubleDwiType::Pointer TractsToDWIImageFilter< PixelType >:: SimulateKspaceAcquisition( std::vector< DoubleDwiType::Pointer >& compartment_images ) { unsigned int numFiberCompartments = m_Parameters.m_FiberModelList.size(); // create slice object ImageRegion<2> sliceRegion; sliceRegion.SetSize(0, m_WorkingImageRegion.GetSize()[0]); sliceRegion.SetSize(1, m_WorkingImageRegion.GetSize()[1]); Vector< double, 2 > sliceSpacing; sliceSpacing[0] = m_WorkingSpacing[0]; sliceSpacing[1] = m_WorkingSpacing[1]; DoubleDwiType::PixelType nullPix; nullPix.SetSize(compartment_images.at(0)->GetVectorLength()); nullPix.Fill(0.0); auto magnitudeDwiImage = DoubleDwiType::New(); magnitudeDwiImage->SetSpacing( m_Parameters.m_SignalGen.m_ImageSpacing ); magnitudeDwiImage->SetOrigin( m_Parameters.m_SignalGen.m_ImageOrigin ); magnitudeDwiImage->SetDirection( m_Parameters.m_SignalGen.m_ImageDirection ); magnitudeDwiImage->SetLargestPossibleRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); magnitudeDwiImage->SetBufferedRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); magnitudeDwiImage->SetRequestedRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); magnitudeDwiImage->SetVectorLength( compartment_images.at(0)->GetVectorLength() ); magnitudeDwiImage->Allocate(); magnitudeDwiImage->FillBuffer(nullPix); m_PhaseImage = DoubleDwiType::New(); m_PhaseImage->SetSpacing( m_Parameters.m_SignalGen.m_ImageSpacing ); m_PhaseImage->SetOrigin( m_Parameters.m_SignalGen.m_ImageOrigin ); m_PhaseImage->SetDirection( m_Parameters.m_SignalGen.m_ImageDirection ); m_PhaseImage->SetLargestPossibleRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); m_PhaseImage->SetBufferedRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); m_PhaseImage->SetRequestedRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); m_PhaseImage->SetVectorLength( compartment_images.at(0)->GetVectorLength() ); m_PhaseImage->Allocate(); m_PhaseImage->FillBuffer(nullPix); m_KspaceImage = DoubleDwiType::New(); m_KspaceImage->SetSpacing( m_Parameters.m_SignalGen.m_ImageSpacing ); m_KspaceImage->SetOrigin( m_Parameters.m_SignalGen.m_ImageOrigin ); m_KspaceImage->SetDirection( m_Parameters.m_SignalGen.m_ImageDirection ); m_KspaceImage->SetLargestPossibleRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); m_KspaceImage->SetBufferedRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); m_KspaceImage->SetRequestedRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); m_KspaceImage->SetVectorLength( m_Parameters.m_SignalGen.m_NumberOfCoils ); m_KspaceImage->Allocate(); m_KspaceImage->FillBuffer(nullPix); // calculate coil positions double a = m_Parameters.m_SignalGen.m_ImageRegion.GetSize(0)*m_Parameters.m_SignalGen.m_ImageSpacing[0]; double b = m_Parameters.m_SignalGen.m_ImageRegion.GetSize(1)*m_Parameters.m_SignalGen.m_ImageSpacing[1]; double c = m_Parameters.m_SignalGen.m_ImageRegion.GetSize(2)*m_Parameters.m_SignalGen.m_ImageSpacing[2]; double diagonal = sqrt(a*a+b*b)/1000; // image diagonal in m m_CoilPointset = mitk::PointSet::New(); std::vector< itk::Vector > coilPositions; itk::Vector pos; pos.Fill(0.0); pos[1] = -diagonal/2; itk::Vector center; center[0] = a/2-m_Parameters.m_SignalGen.m_ImageSpacing[0]/2; center[1] = b/2-m_Parameters.m_SignalGen.m_ImageSpacing[2]/2; center[2] = c/2-m_Parameters.m_SignalGen.m_ImageSpacing[1]/2; for (unsigned int c=0; cInsertPoint(c, pos*1000 + m_Parameters.m_SignalGen.m_ImageOrigin.GetVectorFromOrigin() + center ); double rz = 360.0/m_Parameters.m_SignalGen.m_NumberOfCoils * itk::Math::pi/180; vnl_matrix_fixed< double, 3, 3 > rotZ; rotZ.set_identity(); rotZ[0][0] = cos(rz); rotZ[1][1] = rotZ[0][0]; rotZ[0][1] = -sin(rz); rotZ[1][0] = -rotZ[0][1]; pos.SetVnlVector(rotZ*pos.GetVnlVector()); } auto num_slices = compartment_images.at(0)->GetLargestPossibleRegion().GetSize(2); auto num_gradient_volumes = static_cast(compartment_images.at(0)->GetVectorLength()); auto max_threads = omp_get_max_threads(); int out_threads = Math::ceil(std::sqrt(max_threads)); int in_threads = Math::floor(std::sqrt(max_threads)); if (out_threads > num_gradient_volumes) { out_threads = num_gradient_volumes; in_threads = Math::floor(static_cast(max_threads/out_threads)); } PrintToLog("Parallel volumes: " + boost::lexical_cast(out_threads), false, true, true); PrintToLog("Threads per slice: " + boost::lexical_cast(in_threads), false, true, true); std::list< std::tuple > spikes; if (m_Parameters.m_Misc.m_DoAddSpikes) for (unsigned int i=0; i( m_RandGen->GetIntegerVariate()%num_gradient_volumes, m_RandGen->GetIntegerVariate()%num_slices, m_RandGen->GetIntegerVariate()%m_Parameters.m_SignalGen.m_NumberOfCoils); spikes.push_back(spike); } PrintToLog("0% 10 20 30 40 50 60 70 80 90 100%", false, true, false); PrintToLog("|----|----|----|----|----|----|----|----|----|----|\n*", false, false, false); unsigned long lastTick = 0; boost::progress_display disp(static_cast(num_gradient_volumes)*compartment_images.at(0)->GetLargestPossibleRegion().GetSize(2)); #pragma omp parallel for num_threads(out_threads) for (int g=0; gGetAbortGenerateData()) continue; std::list< std::tuple > spikeSlice; #pragma omp critical { for (auto spike : spikes) if (std::get<0>(spike) == static_cast(g)) spikeSlice.push_back(std::tuple(std::get<1>(spike), std::get<2>(spike))); } for (unsigned int z=0; z compartment_slices; std::vector< float > t2Vector; std::vector< float > t1Vector; for (unsigned int i=0; i* signalModel; if (iSetLargestPossibleRegion( sliceRegion ); slice->SetBufferedRegion( sliceRegion ); slice->SetRequestedRegion( sliceRegion ); slice->SetSpacing(sliceSpacing); slice->Allocate(); slice->FillBuffer(0.0); // extract slice from channel g for (unsigned int y=0; yGetLargestPossibleRegion().GetSize(1); y++) for (unsigned int x=0; xGetLargestPossibleRegion().GetSize(0); x++) { Float2DImageType::IndexType index2D; index2D[0]=x; index2D[1]=y; DoubleDwiType::IndexType index3D; index3D[0]=x; index3D[1]=y; index3D[2]=z; slice->SetPixel(index2D, compartment_images.at(i)->GetPixel(index3D)[g]); } compartment_slices.push_back(slice); t2Vector.push_back(signalModel->GetT2()); t1Vector.push_back(signalModel->GetT1()); } if (this->GetAbortGenerateData()) continue; for (unsigned int c=0; c(ss) == z && std::get<1>(ss) == c) ++numSpikes; // create k-sapce (inverse fourier transform slices) auto idft = itk::KspaceImageFilter< Float2DImageType::PixelType >::New(); idft->SetCompartmentImages(compartment_slices); idft->SetT2(t2Vector); idft->SetT1(t1Vector); if (m_UseConstantRandSeed) { int linear_seed = g + num_gradient_volumes*z + num_gradient_volumes*compartment_images.at(0)->GetLargestPossibleRegion().GetSize(2)*c; idft->SetRandSeed(linear_seed); } idft->SetParameters(&m_Parameters); idft->SetZ((float)z-(float)( compartment_images.at(0)->GetLargestPossibleRegion().GetSize(2) -compartment_images.at(0)->GetLargestPossibleRegion().GetSize(2)%2 ) / 2.0); idft->SetZidx(z); idft->SetCoilPosition(coilPositions.at(c)); idft->SetFiberBundle(m_FiberBundle); idft->SetTranslation(m_Translations.at(g)); idft->SetRotationMatrix(m_RotationsInv.at(g)); - idft->SetDiffusionGradientDirection(m_Parameters.m_SignalGen.GetGradientDirection(g)); + idft->SetDiffusionGradientDirection(m_Parameters.m_SignalGen.GetGradientDirection(g)*m_Parameters.m_SignalGen.GetBvalue()/1000.0); idft->SetSpikesPerSlice(numSpikes); idft->SetNumberOfThreads(in_threads); idft->Update(); #pragma omp critical if (numSpikes>0) { m_SpikeLog += "Volume " + boost::lexical_cast(g) + " Coil " + boost::lexical_cast(c) + "\n"; m_SpikeLog += idft->GetSpikeLog(); } Complex2DImageType::Pointer fSlice; fSlice = idft->GetOutput(); // fourier transform slice Complex2DImageType::Pointer newSlice; auto dft = itk::DftImageFilter< Float2DImageType::PixelType >::New(); dft->SetInput(fSlice); dft->SetParameters(m_Parameters); dft->SetNumberOfThreads(in_threads); dft->Update(); newSlice = dft->GetOutput(); // put slice back into channel g for (unsigned int y=0; yGetLargestPossibleRegion().GetSize(1); y++) for (unsigned int x=0; xGetLargestPossibleRegion().GetSize(0); x++) { DoubleDwiType::IndexType index3D; index3D[0]=x; index3D[1]=y; index3D[2]=z; Complex2DImageType::IndexType index2D; index2D[0]=x; index2D[1]=y; Complex2DImageType::PixelType cPix = newSlice->GetPixel(index2D); double magn = sqrt(cPix.real()*cPix.real()+cPix.imag()*cPix.imag()); double phase = 0; if (cPix.real()!=0) phase = atan( cPix.imag()/cPix.real() ); DoubleDwiType::PixelType real_pix = m_OutputImagesReal.at(c)->GetPixel(index3D); real_pix[g] = cPix.real(); m_OutputImagesReal.at(c)->SetPixel(index3D, real_pix); DoubleDwiType::PixelType imag_pix = m_OutputImagesImag.at(c)->GetPixel(index3D); imag_pix[g] = cPix.imag(); m_OutputImagesImag.at(c)->SetPixel(index3D, imag_pix); DoubleDwiType::PixelType dwiPix = magnitudeDwiImage->GetPixel(index3D); DoubleDwiType::PixelType phasePix = m_PhaseImage->GetPixel(index3D); if (m_Parameters.m_SignalGen.m_NumberOfCoils>1) { dwiPix[g] += magn*magn; phasePix[g] += phase*phase; } else { dwiPix[g] = magn; phasePix[g] = phase; } //#pragma omp critical { magnitudeDwiImage->SetPixel(index3D, dwiPix); m_PhaseImage->SetPixel(index3D, phasePix); // k-space image if (g==0) { DoubleDwiType::PixelType kspacePix = m_KspaceImage->GetPixel(index3D); kspacePix[c] = idft->GetKSpaceImage()->GetPixel(index2D); m_KspaceImage->SetPixel(index3D, kspacePix); } } } } if (m_Parameters.m_SignalGen.m_NumberOfCoils>1) { for (int y=0; y(magnitudeDwiImage->GetLargestPossibleRegion().GetSize(1)); y++) for (int x=0; x(magnitudeDwiImage->GetLargestPossibleRegion().GetSize(0)); x++) { DoubleDwiType::IndexType index3D; index3D[0]=x; index3D[1]=y; index3D[2]=z; DoubleDwiType::PixelType magPix = magnitudeDwiImage->GetPixel(index3D); magPix[g] = sqrt(magPix[g]/m_Parameters.m_SignalGen.m_NumberOfCoils); DoubleDwiType::PixelType phasePix = m_PhaseImage->GetPixel(index3D); phasePix[g] = sqrt(phasePix[g]/m_Parameters.m_SignalGen.m_NumberOfCoils); //#pragma omp critical { magnitudeDwiImage->SetPixel(index3D, magPix); m_PhaseImage->SetPixel(index3D, phasePix); } } } ++disp; unsigned long newTick = 50*disp.count()/disp.expected_count(); for (unsigned long tick = 0; tick<(newTick-lastTick); tick++) PrintToLog("*", false, false, false); lastTick = newTick; } } PrintToLog("\n", false); return magnitudeDwiImage; } template< class PixelType > TractsToDWIImageFilter< PixelType >::ItkDoubleImgType::Pointer TractsToDWIImageFilter< PixelType >:: NormalizeInsideMask(ItkDoubleImgType::Pointer image) { double max = itk::NumericTraits< double >::min(); double min = itk::NumericTraits< double >::max(); itk::ImageRegionIterator< ItkDoubleImgType > it(image, image->GetLargestPossibleRegion()); while(!it.IsAtEnd()) { if (m_Parameters.m_SignalGen.m_MaskImage.IsNotNull() && m_Parameters.m_SignalGen.m_MaskImage->GetPixel(it.GetIndex())<=0) { it.Set(0.0); ++it; continue; } if (it.Get()>max) max = it.Get(); if (it.Get()::New(); scaler->SetInput(image); scaler->SetShift(-min); scaler->SetScale(1.0/(max-min)); scaler->Update(); return scaler->GetOutput(); } template< class PixelType > void TractsToDWIImageFilter< PixelType >::CheckVolumeFractionImages() { m_UseRelativeNonFiberVolumeFractions = false; // check for fiber volume fraction maps unsigned int fibVolImages = 0; for (std::size_t i=0; iGetVolumeFractionImage().IsNotNull()) { PrintToLog("Using volume fraction map for fiber compartment " + boost::lexical_cast(i+1), false); fibVolImages++; } } // check for non-fiber volume fraction maps unsigned int nonfibVolImages = 0; for (std::size_t i=0; iGetVolumeFractionImage().IsNotNull()) { PrintToLog("Using volume fraction map for non-fiber compartment " + boost::lexical_cast(i+1), false); nonfibVolImages++; } } // not all fiber compartments are using volume fraction maps // --> non-fiber volume fractions are assumed to be relative to the // non-fiber volume and not absolute voxel-volume fractions. // this means if two non-fiber compartments are used but only one of them // has an associated volume fraction map, the repesctive other volume fraction map // can be determined as inverse (1-val) of the present volume fraction map- if ( fibVolImages::New(); inverter->SetMaximum(1.0); if ( m_Parameters.m_NonFiberModelList[0]->GetVolumeFractionImage().IsNull() && m_Parameters.m_NonFiberModelList[1]->GetVolumeFractionImage().IsNotNull() ) { // m_Parameters.m_NonFiberModelList[1]->SetVolumeFractionImage( // NormalizeInsideMask( m_Parameters.m_NonFiberModelList[1]->GetVolumeFractionImage() ) ); inverter->SetInput( m_Parameters.m_NonFiberModelList[1]->GetVolumeFractionImage() ); inverter->Update(); m_Parameters.m_NonFiberModelList[0]->SetVolumeFractionImage(inverter->GetOutput()); } else if ( m_Parameters.m_NonFiberModelList[1]->GetVolumeFractionImage().IsNull() && m_Parameters.m_NonFiberModelList[0]->GetVolumeFractionImage().IsNotNull() ) { // m_Parameters.m_NonFiberModelList[0]->SetVolumeFractionImage( // NormalizeInsideMask( m_Parameters.m_NonFiberModelList[0]->GetVolumeFractionImage() ) ); inverter->SetInput( m_Parameters.m_NonFiberModelList[0]->GetVolumeFractionImage() ); inverter->Update(); m_Parameters.m_NonFiberModelList[1]->SetVolumeFractionImage(inverter->GetOutput()); } else { itkExceptionMacro("Something went wrong in automatically calculating the missing non-fiber volume fraction image!" " Did you use two non fiber compartments but only one volume fraction image?" " Then it should work and this error is really strange."); } m_UseRelativeNonFiberVolumeFractions = true; nonfibVolImages++; } // Up to two fiber compartments are allowed without volume fraction maps since the volume fractions can then be determined automatically if (m_Parameters.m_FiberModelList.size()>2 && fibVolImages!=m_Parameters.m_FiberModelList.size()) itkExceptionMacro("More than two fiber compartment selected but no corresponding volume fraction maps set!"); // One non-fiber compartment is allowed without volume fraction map since the volume fraction can then be determined automatically if (m_Parameters.m_NonFiberModelList.size()>1 && nonfibVolImages!=m_Parameters.m_NonFiberModelList.size()) itkExceptionMacro("More than one non-fiber compartment selected but no volume fraction maps set!"); if (fibVolImages0) { PrintToLog("Not all fiber compartments are using an associated volume fraction image.\n" "Assuming non-fiber volume fraction images to contain values relative to the" " remaining non-fiber volume, not absolute values.", false); m_UseRelativeNonFiberVolumeFractions = true; // mitk::LocaleSwitch localeSwitch("C"); // itk::ImageFileWriter::Pointer wr = itk::ImageFileWriter::New(); // wr->SetInput(m_Parameters.m_NonFiberModelList[1]->GetVolumeFractionImage()); // wr->SetFileName("/local/volumefraction.nrrd"); // wr->Update(); } // initialize the images that store the output volume fraction of each compartment m_VolumeFractions.clear(); for (std::size_t i=0; iSetSpacing( m_WorkingSpacing ); doubleImg->SetOrigin( m_WorkingOrigin ); doubleImg->SetDirection( m_Parameters.m_SignalGen.m_ImageDirection ); doubleImg->SetLargestPossibleRegion( m_WorkingImageRegion ); doubleImg->SetBufferedRegion( m_WorkingImageRegion ); doubleImg->SetRequestedRegion( m_WorkingImageRegion ); doubleImg->Allocate(); doubleImg->FillBuffer(0); m_VolumeFractions.push_back(doubleImg); } } template< class PixelType > void TractsToDWIImageFilter< PixelType >::InitializeData() { m_Rotations.clear(); m_Translations.clear(); m_MotionLog = ""; m_SpikeLog = ""; // initialize output dwi image m_Parameters.m_SignalGen.m_CroppedRegion = m_Parameters.m_SignalGen.m_ImageRegion; if (m_Parameters.m_Misc.m_DoAddAliasing) m_Parameters.m_SignalGen.m_CroppedRegion.SetSize( 1, m_Parameters.m_SignalGen.m_CroppedRegion.GetSize(1) *m_Parameters.m_SignalGen.m_CroppingFactor); itk::Point shiftedOrigin = m_Parameters.m_SignalGen.m_ImageOrigin; shiftedOrigin[1] += (m_Parameters.m_SignalGen.m_ImageRegion.GetSize(1) -m_Parameters.m_SignalGen.m_CroppedRegion.GetSize(1))*m_Parameters.m_SignalGen.m_ImageSpacing[1]/2; m_OutputImage = OutputImageType::New(); m_OutputImage->SetSpacing( m_Parameters.m_SignalGen.m_ImageSpacing ); m_OutputImage->SetOrigin( shiftedOrigin ); m_OutputImage->SetDirection( m_Parameters.m_SignalGen.m_ImageDirection ); m_OutputImage->SetLargestPossibleRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); m_OutputImage->SetBufferedRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); m_OutputImage->SetRequestedRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); m_OutputImage->SetVectorLength( m_Parameters.m_SignalGen.GetNumVolumes() ); m_OutputImage->Allocate(); typename OutputImageType::PixelType temp; temp.SetSize(m_Parameters.m_SignalGen.GetNumVolumes()); temp.Fill(0.0); m_OutputImage->FillBuffer(temp); PrintToLog("Output image spacing: [" + boost::lexical_cast(m_Parameters.m_SignalGen.m_ImageSpacing[0]) + "," + boost::lexical_cast(m_Parameters.m_SignalGen.m_ImageSpacing[1]) + "," + boost::lexical_cast(m_Parameters.m_SignalGen.m_ImageSpacing[2]) + "]", false); PrintToLog("Output image size: [" + boost::lexical_cast(m_Parameters.m_SignalGen.m_CroppedRegion.GetSize(0)) + "," + boost::lexical_cast(m_Parameters.m_SignalGen.m_CroppedRegion.GetSize(1)) + "," + boost::lexical_cast(m_Parameters.m_SignalGen.m_CroppedRegion.GetSize(2)) + "]", false); // images containing real and imaginary part of the dMRI signal for each coil m_OutputImagesReal.clear(); m_OutputImagesImag.clear(); for (unsigned int i=0; iSetSpacing( m_Parameters.m_SignalGen.m_ImageSpacing ); outputImageReal->SetOrigin( shiftedOrigin ); outputImageReal->SetDirection( m_Parameters.m_SignalGen.m_ImageDirection ); outputImageReal->SetLargestPossibleRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); outputImageReal->SetBufferedRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); outputImageReal->SetRequestedRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); outputImageReal->SetVectorLength( m_Parameters.m_SignalGen.GetNumVolumes() ); outputImageReal->Allocate(); outputImageReal->FillBuffer(temp); m_OutputImagesReal.push_back(outputImageReal); typename DoubleDwiType::Pointer outputImageImag = DoubleDwiType::New(); outputImageImag->SetSpacing( m_Parameters.m_SignalGen.m_ImageSpacing ); outputImageImag->SetOrigin( shiftedOrigin ); outputImageImag->SetDirection( m_Parameters.m_SignalGen.m_ImageDirection ); outputImageImag->SetLargestPossibleRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); outputImageImag->SetBufferedRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); outputImageImag->SetRequestedRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); outputImageImag->SetVectorLength( m_Parameters.m_SignalGen.GetNumVolumes() ); outputImageImag->Allocate(); outputImageImag->FillBuffer(temp); m_OutputImagesImag.push_back(outputImageImag); } // Apply in-plane upsampling for Gibbs ringing artifact double upsampling = 1; if (m_Parameters.m_SignalGen.m_DoAddGibbsRinging && m_Parameters.m_SignalGen.m_ZeroRinging==0) upsampling = 2; m_WorkingSpacing = m_Parameters.m_SignalGen.m_ImageSpacing; m_WorkingSpacing[0] /= upsampling; m_WorkingSpacing[1] /= upsampling; m_WorkingImageRegion = m_Parameters.m_SignalGen.m_ImageRegion; m_WorkingImageRegion.SetSize(0, m_Parameters.m_SignalGen.m_ImageRegion.GetSize()[0]*upsampling); m_WorkingImageRegion.SetSize(1, m_Parameters.m_SignalGen.m_ImageRegion.GetSize()[1]*upsampling); m_WorkingOrigin = m_Parameters.m_SignalGen.m_ImageOrigin; m_WorkingOrigin[0] -= m_Parameters.m_SignalGen.m_ImageSpacing[0]/2; m_WorkingOrigin[0] += m_WorkingSpacing[0]/2; m_WorkingOrigin[1] -= m_Parameters.m_SignalGen.m_ImageSpacing[1]/2; m_WorkingOrigin[1] += m_WorkingSpacing[1]/2; m_WorkingOrigin[2] -= m_Parameters.m_SignalGen.m_ImageSpacing[2]/2; m_WorkingOrigin[2] += m_WorkingSpacing[2]/2; m_VoxelVolume = m_WorkingSpacing[0]*m_WorkingSpacing[1]*m_WorkingSpacing[2]; PrintToLog("Working image spacing: [" + boost::lexical_cast(m_WorkingSpacing[0]) + "," + boost::lexical_cast(m_WorkingSpacing[1]) + "," + boost::lexical_cast(m_WorkingSpacing[2]) + "]", false); PrintToLog("Working image size: [" + boost::lexical_cast(m_WorkingImageRegion.GetSize(0)) + "," + boost::lexical_cast(m_WorkingImageRegion.GetSize(1)) + "," + boost::lexical_cast(m_WorkingImageRegion.GetSize(2)) + "]", false); // generate double images to store the individual compartment signals m_CompartmentImages.clear(); int numFiberCompartments = m_Parameters.m_FiberModelList.size(); int numNonFiberCompartments = m_Parameters.m_NonFiberModelList.size(); for (int i=0; iSetSpacing( m_WorkingSpacing ); doubleDwi->SetOrigin( m_WorkingOrigin ); doubleDwi->SetDirection( m_Parameters.m_SignalGen.m_ImageDirection ); doubleDwi->SetLargestPossibleRegion( m_WorkingImageRegion ); doubleDwi->SetBufferedRegion( m_WorkingImageRegion ); doubleDwi->SetRequestedRegion( m_WorkingImageRegion ); doubleDwi->SetVectorLength( m_Parameters.m_SignalGen.GetNumVolumes() ); doubleDwi->Allocate(); DoubleDwiType::PixelType pix; pix.SetSize(m_Parameters.m_SignalGen.GetNumVolumes()); pix.Fill(0.0); doubleDwi->FillBuffer(pix); m_CompartmentImages.push_back(doubleDwi); } if (m_FiberBundle.IsNull() && m_InputImage.IsNotNull()) { m_CompartmentImages.clear(); m_Parameters.m_SignalGen.m_DoAddMotion = false; m_Parameters.m_SignalGen.m_DoSimulateRelaxation = false; PrintToLog("Simulating acquisition for input diffusion-weighted image.", false); auto caster = itk::CastImageFilter< OutputImageType, DoubleDwiType >::New(); caster->SetInput(m_InputImage); caster->Update(); if (m_Parameters.m_SignalGen.m_DoAddGibbsRinging && m_Parameters.m_SignalGen.m_ZeroRinging==0) { PrintToLog("Upsampling input diffusion-weighted image for Gibbs ringing simulation.", false); auto resampler = itk::ResampleDwiImageFilter< double >::New(); resampler->SetInput(caster->GetOutput()); itk::Vector< double, 3 > samplingFactor; samplingFactor[0] = upsampling; samplingFactor[1] = upsampling; samplingFactor[2] = 1; resampler->SetSamplingFactor(samplingFactor); resampler->SetInterpolation(itk::ResampleDwiImageFilter< double >::Interpolate_WindowedSinc); resampler->Update(); m_CompartmentImages.push_back(resampler->GetOutput()); } else m_CompartmentImages.push_back(caster->GetOutput()); VectorType translation; translation.Fill(0.0); MatrixType rotation; rotation.SetIdentity(); for (unsigned int g=0; gGetLargestPossibleRegion()!=m_WorkingImageRegion) { PrintToLog("Resampling tissue mask", false); // rescale mask image (otherwise there are problems with the resampling) auto rescaler = itk::RescaleIntensityImageFilter::New(); rescaler->SetInput(0,m_Parameters.m_SignalGen.m_MaskImage); rescaler->SetOutputMaximum(100); rescaler->SetOutputMinimum(0); rescaler->Update(); // resample mask image auto resampler = itk::ResampleImageFilter::New(); resampler->SetInput(rescaler->GetOutput()); resampler->SetSize(m_WorkingImageRegion.GetSize()); resampler->SetOutputSpacing(m_WorkingSpacing); resampler->SetOutputOrigin(m_WorkingOrigin); resampler->SetOutputDirection(m_Parameters.m_SignalGen.m_ImageDirection); resampler->SetOutputStartIndex ( m_WorkingImageRegion.GetIndex() ); auto nn_interpolator = itk::NearestNeighborInterpolateImageFunction::New(); resampler->SetInterpolator(nn_interpolator); resampler->Update(); m_Parameters.m_SignalGen.m_MaskImage = resampler->GetOutput(); } // resample frequency map if (m_Parameters.m_SignalGen.m_FrequencyMap.IsNotNull() && m_Parameters.m_SignalGen.m_FrequencyMap->GetLargestPossibleRegion()!=m_WorkingImageRegion) { PrintToLog("Resampling frequency map", false); auto resampler = itk::ResampleImageFilter::New(); resampler->SetInput(m_Parameters.m_SignalGen.m_FrequencyMap); resampler->SetSize(m_WorkingImageRegion.GetSize()); resampler->SetOutputSpacing(m_WorkingSpacing); resampler->SetOutputOrigin(m_WorkingOrigin); resampler->SetOutputDirection(m_Parameters.m_SignalGen.m_ImageDirection); resampler->SetOutputStartIndex ( m_WorkingImageRegion.GetIndex() ); auto nn_interpolator = itk::NearestNeighborInterpolateImageFunction::New(); resampler->SetInterpolator(nn_interpolator); resampler->Update(); m_Parameters.m_SignalGen.m_FrequencyMap = resampler->GetOutput(); } m_MaskImageSet = true; if (m_Parameters.m_SignalGen.m_MaskImage.IsNull()) { // no input tissue mask is set -> create default PrintToLog("No tissue mask set", false); m_Parameters.m_SignalGen.m_MaskImage = ItkUcharImgType::New(); m_Parameters.m_SignalGen.m_MaskImage->SetSpacing( m_WorkingSpacing ); m_Parameters.m_SignalGen.m_MaskImage->SetOrigin( m_WorkingOrigin ); m_Parameters.m_SignalGen.m_MaskImage->SetDirection( m_Parameters.m_SignalGen.m_ImageDirection ); m_Parameters.m_SignalGen.m_MaskImage->SetLargestPossibleRegion( m_WorkingImageRegion ); m_Parameters.m_SignalGen.m_MaskImage->SetBufferedRegion( m_WorkingImageRegion ); m_Parameters.m_SignalGen.m_MaskImage->SetRequestedRegion( m_WorkingImageRegion ); m_Parameters.m_SignalGen.m_MaskImage->Allocate(); m_Parameters.m_SignalGen.m_MaskImage->FillBuffer(100); m_MaskImageSet = false; } else { PrintToLog("Using tissue mask", false); } if (m_Parameters.m_SignalGen.m_DoAddMotion) { if (m_Parameters.m_SignalGen.m_DoRandomizeMotion) { PrintToLog("Random motion artifacts:", false); PrintToLog("Maximum rotation: +/-" + boost::lexical_cast(m_Parameters.m_SignalGen.m_Rotation) + "°", false); PrintToLog("Maximum translation: +/-" + boost::lexical_cast(m_Parameters.m_SignalGen.m_Translation) + "mm", false); } else { PrintToLog("Linear motion artifacts:", false); PrintToLog("Maximum rotation: " + boost::lexical_cast(m_Parameters.m_SignalGen.m_Rotation) + "°", false); PrintToLog("Maximum translation: " + boost::lexical_cast(m_Parameters.m_SignalGen.m_Translation) + "mm", false); } } if ( m_Parameters.m_SignalGen.m_MotionVolumes.empty() ) { // no motion in first volume m_Parameters.m_SignalGen.m_MotionVolumes.push_back(false); // motion in all other volumes while ( m_Parameters.m_SignalGen.m_MotionVolumes.size() < m_Parameters.m_SignalGen.GetNumVolumes() ) { m_Parameters.m_SignalGen.m_MotionVolumes.push_back(true); } } // we need to know for every volume if there is motion. if this information is missing, then set corresponding fal to false while ( m_Parameters.m_SignalGen.m_MotionVolumes.size()::New(); duplicator->SetInputImage(m_Parameters.m_SignalGen.m_MaskImage); duplicator->Update(); m_TransformedMaskImage = duplicator->GetOutput(); // second upsampling needed for motion artifacts ImageRegion<3> upsampledImageRegion = m_WorkingImageRegion; VectorType upsampledSpacing = m_WorkingSpacing; upsampledSpacing[0] /= 4; upsampledSpacing[1] /= 4; upsampledSpacing[2] /= 4; upsampledImageRegion.SetSize(0, m_WorkingImageRegion.GetSize()[0]*4); upsampledImageRegion.SetSize(1, m_WorkingImageRegion.GetSize()[1]*4); upsampledImageRegion.SetSize(2, m_WorkingImageRegion.GetSize()[2]*4); itk::Point upsampledOrigin = m_WorkingOrigin; upsampledOrigin[0] -= m_WorkingSpacing[0]/2; upsampledOrigin[0] += upsampledSpacing[0]/2; upsampledOrigin[1] -= m_WorkingSpacing[1]/2; upsampledOrigin[1] += upsampledSpacing[1]/2; upsampledOrigin[2] -= m_WorkingSpacing[2]/2; upsampledOrigin[2] += upsampledSpacing[2]/2; m_UpsampledMaskImage = ItkUcharImgType::New(); auto upsampler = itk::ResampleImageFilter::New(); upsampler->SetInput(m_Parameters.m_SignalGen.m_MaskImage); upsampler->SetOutputParametersFromImage(m_Parameters.m_SignalGen.m_MaskImage); upsampler->SetSize(upsampledImageRegion.GetSize()); upsampler->SetOutputSpacing(upsampledSpacing); upsampler->SetOutputOrigin(upsampledOrigin); auto nn_interpolator = itk::NearestNeighborInterpolateImageFunction::New(); upsampler->SetInterpolator(nn_interpolator); upsampler->Update(); m_UpsampledMaskImage = upsampler->GetOutput(); } template< class PixelType > void TractsToDWIImageFilter< PixelType >::InitializeFiberData() { m_mmRadius = m_Parameters.m_SignalGen.m_AxonRadius/1000; auto caster = itk::CastImageFilter< itk::Image, itk::Image >::New(); caster->SetInput(m_TransformedMaskImage); caster->Update(); vtkSmartPointer weights = m_FiberBundle->GetFiberWeights(); float mean_weight = 0; for (int i=0; iGetSize(); i++) mean_weight += weights->GetValue(i); mean_weight /= weights->GetSize(); if (mean_weight>0.000001) for (int i=0; iGetSize(); i++) m_FiberBundle->SetFiberWeight(i, weights->GetValue(i)/mean_weight); else PrintToLog("\nWarning: streamlines have VERY low weights. Average weight: " + boost::lexical_cast(mean_weight) + ". Possible source of calculation errors.", false, true, true); auto density_calculator = itk::TractDensityImageFilter< itk::Image >::New(); density_calculator->SetFiberBundle(m_FiberBundle); density_calculator->SetInputImage(caster->GetOutput()); density_calculator->SetBinaryOutput(false); density_calculator->SetUseImageGeometry(true); density_calculator->SetOutputAbsoluteValues(true); density_calculator->Update(); double max_density = density_calculator->GetMaxDensity(); double voxel_volume = m_WorkingSpacing[0]*m_WorkingSpacing[1]*m_WorkingSpacing[2]; if (m_mmRadius>0) { std::stringstream stream; stream << std::fixed << setprecision(2) << itk::Math::pi*m_mmRadius*m_mmRadius*max_density; std::string s = stream.str(); PrintToLog("\nMax. fiber volume: " + s + "mm².", false, true, true); { double full_radius = 1000*std::sqrt(voxel_volume/(max_density*itk::Math::pi)); std::stringstream stream; stream << std::fixed << setprecision(2) << full_radius; std::string s = stream.str(); PrintToLog("\nA full fiber voxel corresponds to a fiber radius of ~" + s + "µm, given the current fiber configuration.", false, true, true); } } else { m_mmRadius = std::sqrt(voxel_volume/(max_density*itk::Math::pi)); std::stringstream stream; stream << std::fixed << setprecision(2) << m_mmRadius*1000; std::string s = stream.str(); PrintToLog("\nSetting fiber radius to " + s + "µm to obtain full voxel.", false, true, true); } // a second fiber bundle is needed to store the transformed version of the m_FiberBundleWorkingCopy m_FiberBundleTransformed = m_FiberBundle->GetDeepCopy(); } template< class PixelType > bool TractsToDWIImageFilter< PixelType >::PrepareLogFile() { if(m_Logfile.is_open()) m_Logfile.close(); std::string filePath; std::string fileName; // Get directory name: if (m_Parameters.m_Misc.m_OutputPath.size() > 0) { filePath = m_Parameters.m_Misc.m_OutputPath; if( *(--(filePath.cend())) != '/') { filePath.push_back('/'); } } else return false; // Get file name: if( ! m_Parameters.m_Misc.m_ResultNode->GetName().empty() ) { fileName = m_Parameters.m_Misc.m_ResultNode->GetName(); } else { fileName = ""; } if( ! m_Parameters.m_Misc.m_OutputPrefix.empty() ) { fileName = m_Parameters.m_Misc.m_OutputPrefix + fileName; } try { m_Logfile.open( ( filePath + '/' + fileName + ".log" ).c_str() ); } catch (const std::ios_base::failure &fail) { MITK_ERROR << "itkTractsToDWIImageFilter.cpp: Exception " << fail.what() << " while trying to open file" << filePath << '/' << fileName << ".log"; return false; } if ( m_Logfile.is_open() ) { PrintToLog( "Logfile: " + filePath + '/' + fileName + ".log", false ); return true; } else return false; } template< class PixelType > void TractsToDWIImageFilter< PixelType >::GenerateData() { PrintToLog("\n**********************************************", false); // prepare logfile PrepareLogFile(); PrintToLog("Starting Fiberfox dMRI simulation"); m_TimeProbe.Start(); // check input data if (m_FiberBundle.IsNull() && m_InputImage.IsNull()) itkExceptionMacro("Input fiber bundle and input diffusion-weighted image is nullptr!"); if (m_Parameters.m_FiberModelList.empty() && m_InputImage.IsNull()) itkExceptionMacro("No diffusion model for fiber compartments defined and input diffusion-weighted" " image is nullptr! At least one fiber compartment is necessary to simulate diffusion."); if (m_Parameters.m_NonFiberModelList.empty() && m_InputImage.IsNull()) itkExceptionMacro("No diffusion model for non-fiber compartments defined and input diffusion-weighted" " image is nullptr! At least one non-fiber compartment is necessary to simulate diffusion."); if (m_Parameters.m_SignalGen.m_DoDisablePartialVolume) // no partial volume? remove all but first fiber compartment while (m_Parameters.m_FiberModelList.size()>1) m_Parameters.m_FiberModelList.pop_back(); if (!m_Parameters.m_SignalGen.m_SimulateKspaceAcquisition) // No upsampling of input image needed if no k-space simulation is performed m_Parameters.m_SignalGen.m_DoAddGibbsRinging = false; if (m_UseConstantRandSeed) // always generate the same random numbers? m_RandGen->SetSeed(0); else m_RandGen->SetSeed(); InitializeData(); if ( m_FiberBundle.IsNotNull() ) // if no fiber bundle is found, we directly proceed to the k-space acquisition simulation { CheckVolumeFractionImages(); InitializeFiberData(); int numFiberCompartments = m_Parameters.m_FiberModelList.size(); int numNonFiberCompartments = m_Parameters.m_NonFiberModelList.size(); double maxVolume = 0; unsigned long lastTick = 0; int signalModelSeed = m_RandGen->GetIntegerVariate(); PrintToLog("\n", false, false); PrintToLog("Generating " + boost::lexical_cast(numFiberCompartments+numNonFiberCompartments) + "-compartment diffusion-weighted signal."); std::vector< int > bVals = m_Parameters.m_SignalGen.GetBvalues(); PrintToLog("b-values: ", false, false, true); for (auto v : bVals) PrintToLog(boost::lexical_cast(v) + " ", false, false, true); PrintToLog("\nVolumes: " + boost::lexical_cast(m_Parameters.m_SignalGen.GetNumVolumes()), false, true, true); PrintToLog("\n", false, false, true); PrintToLog("\n", false, false, true); unsigned int image_size_x = m_WorkingImageRegion.GetSize(0); unsigned int region_size_y = m_WorkingImageRegion.GetSize(1); unsigned int num_gradients = m_Parameters.m_SignalGen.GetNumVolumes(); int numFibers = m_FiberBundle->GetNumFibers(); boost::progress_display disp(numFibers*num_gradients); if (m_FiberBundle->GetMeanFiberLength()<5.0) omp_set_num_threads(2); PrintToLog("0% 10 20 30 40 50 60 70 80 90 100%", false, true, false); PrintToLog("|----|----|----|----|----|----|----|----|----|----|\n*", false, false, false); for (unsigned int g=0; gSetSeed(signalModelSeed); for (std::size_t i=0; iSetSeed(signalModelSeed); // storing voxel-wise intra-axonal volume in mm³ auto intraAxonalVolumeImage = ItkDoubleImgType::New(); intraAxonalVolumeImage->SetSpacing( m_WorkingSpacing ); intraAxonalVolumeImage->SetOrigin( m_WorkingOrigin ); intraAxonalVolumeImage->SetDirection( m_Parameters.m_SignalGen.m_ImageDirection ); intraAxonalVolumeImage->SetLargestPossibleRegion( m_WorkingImageRegion ); intraAxonalVolumeImage->SetBufferedRegion( m_WorkingImageRegion ); intraAxonalVolumeImage->SetRequestedRegion( m_WorkingImageRegion ); intraAxonalVolumeImage->Allocate(); intraAxonalVolumeImage->FillBuffer(0); maxVolume = 0; double* intraAxBuffer = intraAxonalVolumeImage->GetBufferPointer(); if (this->GetAbortGenerateData()) continue; vtkPolyData* fiberPolyData = m_FiberBundleTransformed->GetFiberPolyData(); // generate fiber signal (if there are any fiber models present) if (!m_Parameters.m_FiberModelList.empty()) { std::vector< double* > buffers; for (unsigned int i=0; iGetBufferPointer()); #pragma omp parallel for for( int i=0; iGetAbortGenerateData()) continue; float fiberWeight = m_FiberBundleTransformed->GetFiberWeight(i); int numPoints = -1; std::vector< itk::Vector > points_copy; #pragma omp critical { vtkCell* cell = fiberPolyData->GetCell(i); numPoints = cell->GetNumberOfPoints(); vtkPoints* points = cell->GetPoints(); for (int j=0; jGetPoint(j))); } if (numPoints<2) continue; double seg_volume = fiberWeight*itk::Math::pi*m_mmRadius*m_mmRadius; for( int j=0; jGetAbortGenerateData()) { j=numPoints; continue; } itk::Vector v = points_copy.at(j); itk::Vector dir = points_copy.at(j+1)-v; if ( dir.GetSquaredNorm()<0.0001 || dir[0]!=dir[0] || dir[1]!=dir[1] || dir[2]!=dir[2] ) continue; dir.Normalize(); itk::Point startVertex = points_copy.at(j); itk::Index<3> startIndex; itk::ContinuousIndex startIndexCont; m_TransformedMaskImage->TransformPhysicalPointToIndex(startVertex, startIndex); m_TransformedMaskImage->TransformPhysicalPointToContinuousIndex(startVertex, startIndexCont); itk::Point endVertex = points_copy.at(j+1); itk::Index<3> endIndex; itk::ContinuousIndex endIndexCont; m_TransformedMaskImage->TransformPhysicalPointToIndex(endVertex, endIndex); m_TransformedMaskImage->TransformPhysicalPointToContinuousIndex(endVertex, endIndexCont); std::vector< std::pair< itk::Index<3>, double > > segments = mitk::imv::IntersectImage(m_WorkingSpacing, startIndex, endIndex, startIndexCont, endIndexCont); // generate signal for each fiber compartment for (int k=0; kSimulateMeasurement(g, dir)*seg_volume; for (std::pair< itk::Index<3>, double > seg : segments) { if (!m_TransformedMaskImage->GetLargestPossibleRegion().IsInside(seg.first) || m_TransformedMaskImage->GetPixel(seg.first)<=0) continue; double seg_signal = seg.second*signal_add; unsigned int linear_index = g + num_gradients*seg.first[0] + num_gradients*image_size_x*seg.first[1] + num_gradients*image_size_x*region_size_y*seg.first[2]; // update dMRI volume #pragma omp atomic buffers[k][linear_index] += seg_signal; // update fiber volume image if (k==0) { linear_index = seg.first[0] + image_size_x*seg.first[1] + image_size_x*region_size_y*seg.first[2]; #pragma omp atomic intraAxBuffer[linear_index] += seg.second*seg_volume; double vol = intraAxBuffer[linear_index]; if (vol>maxVolume) { maxVolume = vol; } } } } } #pragma omp critical { // progress report ++disp; unsigned long newTick = 50*disp.count()/disp.expected_count(); for (unsigned int tick = 0; tick<(newTick-lastTick); ++tick) PrintToLog("*", false, false, false); lastTick = newTick; } } } // axon radius not manually defined --> set fullest voxel (maxVolume) to full fiber voxel double density_correctiony_global = 1.0; if (m_Parameters.m_SignalGen.m_AxonRadius<0.0001) density_correctiony_global = m_VoxelVolume/maxVolume; // generate non-fiber signal ImageRegionIterator it3(m_TransformedMaskImage, m_TransformedMaskImage->GetLargestPossibleRegion()); while(!it3.IsAtEnd()) { if (it3.Get()>0) { DoubleDwiType::IndexType index = it3.GetIndex(); double iAxVolume = intraAxonalVolumeImage->GetPixel(index); // get non-transformed point (remove headmotion tranformation) // this point lives in the volume fraction image space itk::Point volume_fraction_point; if ( m_Parameters.m_SignalGen.m_DoAddMotion ) volume_fraction_point = GetMovedPoint(index, false); else m_TransformedMaskImage->TransformIndexToPhysicalPoint(index, volume_fraction_point); if (m_Parameters.m_SignalGen.m_DoDisablePartialVolume) { if (iAxVolume>0.0001) // scale fiber compartment to voxel { DoubleDwiType::PixelType pix = m_CompartmentImages.at(0)->GetPixel(index); pix[g] *= m_VoxelVolume/iAxVolume; m_CompartmentImages.at(0)->SetPixel(index, pix); if (g==0) m_VolumeFractions.at(0)->SetPixel(index, 1); } else { DoubleDwiType::PixelType pix = m_CompartmentImages.at(0)->GetPixel(index); pix[g] = 0; m_CompartmentImages.at(0)->SetPixel(index, pix); SimulateExtraAxonalSignal(index, volume_fraction_point, 0, g); } } else { // manually defined axon radius and voxel overflow --> rescale to voxel volume if ( m_Parameters.m_SignalGen.m_AxonRadius>=0.0001 && iAxVolume>m_VoxelVolume ) { for (int i=0; iGetPixel(index); pix[g] *= m_VoxelVolume/iAxVolume; m_CompartmentImages.at(i)->SetPixel(index, pix); } iAxVolume = m_VoxelVolume; } // if volume fraction image is set use it, otherwise use global scaling factor double density_correction_voxel = density_correctiony_global; if ( m_Parameters.m_FiberModelList[0]->GetVolumeFractionImage()!=nullptr && iAxVolume>0.0001 ) { m_DoubleInterpolator->SetInputImage(m_Parameters.m_FiberModelList[0]->GetVolumeFractionImage()); double volume_fraction = mitk::imv::GetImageValue(volume_fraction_point, true, m_DoubleInterpolator); if (volume_fraction<0) mitkThrow() << "Volume fraction image (index 1) contains negative values (intra-axonal compartment)!"; density_correction_voxel = m_VoxelVolume*volume_fraction/iAxVolume; // remove iAxVolume sclaing and scale to volume_fraction } else if (m_Parameters.m_FiberModelList[0]->GetVolumeFractionImage()!=nullptr) density_correction_voxel = 0.0; // adjust intra-axonal compartment volume by density correction factor DoubleDwiType::PixelType pix = m_CompartmentImages.at(0)->GetPixel(index); pix[g] *= density_correction_voxel; m_CompartmentImages.at(0)->SetPixel(index, pix); // normalize remaining fiber volume fractions (they are rescaled in SimulateExtraAxonalSignal) if (iAxVolume>0.0001) { for (int i=1; iGetPixel(index); pix[g] /= iAxVolume; m_CompartmentImages.at(i)->SetPixel(index, pix); } } else { for (int i=1; iGetPixel(index); pix[g] = 0; m_CompartmentImages.at(i)->SetPixel(index, pix); } } iAxVolume = density_correction_voxel*iAxVolume; // new intra-axonal volume = old intra-axonal volume * correction factor // simulate other compartments SimulateExtraAxonalSignal(index, volume_fraction_point, iAxVolume, g); } } ++it3; } } PrintToLog("\n", false); } if (this->GetAbortGenerateData()) { PrintToLog("\n", false, false); PrintToLog("Simulation aborted"); return; } DoubleDwiType::Pointer doubleOutImage; double signalScale = m_Parameters.m_SignalGen.m_SignalScale; if ( m_Parameters.m_SignalGen.m_SimulateKspaceAcquisition ) // do k-space stuff { PrintToLog("\n", false, false); PrintToLog("Simulating k-space acquisition using " +boost::lexical_cast(m_Parameters.m_SignalGen.m_NumberOfCoils) +" coil(s)"); switch (m_Parameters.m_SignalGen.m_AcquisitionType) { case SignalGenerationParameters::SingleShotEpi: { PrintToLog("Acquisition type: single shot EPI", false); break; } case SignalGenerationParameters::ConventionalSpinEcho: { PrintToLog("Acquisition type: conventional spin echo (one RF pulse per line) with cartesian k-space trajectory", false); break; } case SignalGenerationParameters::FastSpinEcho: { - PrintToLog("Acquisition type: fast spin echo (one RF pulse per slice) with cartesian k-space trajectory (ETL: " + boost::lexical_cast(m_Parameters.m_SignalGen.m_EchoTrainLength) + ")", false); + PrintToLog("Acquisition type: fast spin echo (one RF pulse per ETL lines) with cartesian k-space trajectory (ETL: " + boost::lexical_cast(m_Parameters.m_SignalGen.m_EchoTrainLength) + ")", false); break; } default: { PrintToLog("Acquisition type: single shot EPI", false); break; } } if(m_Parameters.m_SignalGen.m_tInv>0) PrintToLog("Using inversion pulse with TI " + boost::lexical_cast(m_Parameters.m_SignalGen.m_tInv) + "ms", false); if (m_Parameters.m_SignalGen.m_DoSimulateRelaxation) PrintToLog("Simulating signal relaxation", false); if (m_Parameters.m_SignalGen.m_NoiseVariance>0 && m_Parameters.m_Misc.m_DoAddNoise) PrintToLog("Simulating complex Gaussian noise: " + boost::lexical_cast(m_Parameters.m_SignalGen.m_NoiseVariance), false); if (m_Parameters.m_SignalGen.m_FrequencyMap.IsNotNull() && m_Parameters.m_Misc.m_DoAddDistortions) PrintToLog("Simulating distortions", false); if (m_Parameters.m_SignalGen.m_DoAddGibbsRinging) { if (m_Parameters.m_SignalGen.m_ZeroRinging > 0) PrintToLog("Simulating ringing artifacts by zeroing " + boost::lexical_cast(m_Parameters.m_SignalGen.m_ZeroRinging) + "% of k-space frequencies", false); else PrintToLog("Simulating ringing artifacts by cropping high resolution inputs during k-space simulation", false); } if (m_Parameters.m_Misc.m_DoAddEddyCurrents && m_Parameters.m_SignalGen.m_EddyStrength>0) PrintToLog("Simulating eddy currents: " + boost::lexical_cast(m_Parameters.m_SignalGen.m_EddyStrength), false); if (m_Parameters.m_Misc.m_DoAddSpikes && m_Parameters.m_SignalGen.m_Spikes>0) PrintToLog("Simulating spikes: " + boost::lexical_cast(m_Parameters.m_SignalGen.m_Spikes), false); if (m_Parameters.m_Misc.m_DoAddAliasing && m_Parameters.m_SignalGen.m_CroppingFactor<1.0) PrintToLog("Simulating aliasing: " + boost::lexical_cast(m_Parameters.m_SignalGen.m_CroppingFactor), false); if (m_Parameters.m_Misc.m_DoAddGhosts && m_Parameters.m_SignalGen.m_KspaceLineOffset>0) PrintToLog("Simulating ghosts: " + boost::lexical_cast(m_Parameters.m_SignalGen.m_KspaceLineOffset), false); doubleOutImage = SimulateKspaceAcquisition(m_CompartmentImages); signalScale = 1; // already scaled in SimulateKspaceAcquisition() } else // don't do k-space stuff, just sum compartments { PrintToLog("Summing compartments"); doubleOutImage = m_CompartmentImages.at(0); for (unsigned int i=1; i::New(); adder->SetInput1(doubleOutImage); adder->SetInput2(m_CompartmentImages.at(i)); adder->Update(); doubleOutImage = adder->GetOutput(); } } if (this->GetAbortGenerateData()) { PrintToLog("\n", false, false); PrintToLog("Simulation aborted"); return; } PrintToLog("Finalizing image"); if (m_Parameters.m_SignalGen.m_DoAddDrift && m_Parameters.m_SignalGen.m_Drift>0.0) PrintToLog("Adding signal drift: " + boost::lexical_cast(m_Parameters.m_SignalGen.m_Drift), false); if (signalScale>1) PrintToLog("Scaling signal", false); if (m_Parameters.m_NoiseModel) PrintToLog("Adding noise: " + boost::lexical_cast(m_Parameters.m_SignalGen.m_NoiseVariance), false); ImageRegionIterator it4 (m_OutputImage, m_OutputImage->GetLargestPossibleRegion()); DoubleDwiType::PixelType signal; signal.SetSize(m_Parameters.m_SignalGen.GetNumVolumes()); boost::progress_display disp2(m_OutputImage->GetLargestPossibleRegion().GetNumberOfPixels()); PrintToLog("0% 10 20 30 40 50 60 70 80 90 100%", false, true, false); PrintToLog("|----|----|----|----|----|----|----|----|----|----|\n*", false, false, false); int lastTick = 0; while(!it4.IsAtEnd()) { if (this->GetAbortGenerateData()) { PrintToLog("\n", false, false); PrintToLog("Simulation aborted"); return; } ++disp2; unsigned long newTick = 50*disp2.count()/disp2.expected_count(); for (unsigned long tick = 0; tick<(newTick-lastTick); tick++) PrintToLog("*", false, false, false); lastTick = newTick; typename OutputImageType::IndexType index = it4.GetIndex(); signal = doubleOutImage->GetPixel(index)*signalScale; for (unsigned int i=0; iAddNoise(signal); for (unsigned int i=0; i0) signal[i] = floor(signal[i]+0.5); else signal[i] = ceil(signal[i]-0.5); } it4.Set(signal); ++it4; } this->SetNthOutput(0, m_OutputImage); PrintToLog("\n", false); PrintToLog("Finished simulation"); m_TimeProbe.Stop(); if (m_Parameters.m_SignalGen.m_DoAddMotion) { PrintToLog("\nHead motion log:", false); PrintToLog(m_MotionLog, false, false); } if (m_Parameters.m_Misc.m_DoAddSpikes && m_Parameters.m_SignalGen.m_Spikes>0) { PrintToLog("\nSpike log:", false); PrintToLog(m_SpikeLog, false, false); } if (m_Logfile.is_open()) m_Logfile.close(); } template< class PixelType > void TractsToDWIImageFilter< PixelType >::PrintToLog(std::string m, bool addTime, bool linebreak, bool stdOut) { // timestamp if (addTime) { if ( m_Logfile.is_open() ) m_Logfile << this->GetTime() << " > "; m_StatusText += this->GetTime() + " > "; if (stdOut) std::cout << this->GetTime() << " > "; } // message if (m_Logfile.is_open()) m_Logfile << m; m_StatusText += m; if (stdOut) std::cout << m; // new line if (linebreak) { if (m_Logfile.is_open()) m_Logfile << "\n"; m_StatusText += "\n"; if (stdOut) std::cout << "\n"; } if ( m_Logfile.is_open() ) m_Logfile.flush(); } template< class PixelType > void TractsToDWIImageFilter< PixelType >::SimulateMotion(int g) { if ( m_Parameters.m_SignalGen.m_DoAddMotion && m_Parameters.m_SignalGen.m_DoRandomizeMotion && g>0 && m_Parameters.m_SignalGen.m_MotionVolumes[g-1]) { // The last volume was randomly moved, so we have to reset to fiberbundle and the mask. // Without motion or with linear motion, we keep the last position --> no reset. m_FiberBundleTransformed = m_FiberBundle->GetDeepCopy(); if (m_MaskImageSet) { auto duplicator = itk::ImageDuplicator::New(); duplicator->SetInputImage(m_Parameters.m_SignalGen.m_MaskImage); duplicator->Update(); m_TransformedMaskImage = duplicator->GetOutput(); } } VectorType rotation; VectorType translation; // is motion artifact enabled? // is the current volume g affected by motion? if ( m_Parameters.m_SignalGen.m_DoAddMotion && m_Parameters.m_SignalGen.m_MotionVolumes[g] && g(m_Parameters.m_SignalGen.GetNumVolumes()) ) { // adjust motion transforms if ( m_Parameters.m_SignalGen.m_DoRandomizeMotion ) { // randomly rotation[0] = m_RandGen->GetVariateWithClosedRange(m_Parameters.m_SignalGen.m_Rotation[0]*2) -m_Parameters.m_SignalGen.m_Rotation[0]; rotation[1] = m_RandGen->GetVariateWithClosedRange(m_Parameters.m_SignalGen.m_Rotation[1]*2) -m_Parameters.m_SignalGen.m_Rotation[1]; rotation[2] = m_RandGen->GetVariateWithClosedRange(m_Parameters.m_SignalGen.m_Rotation[2]*2) -m_Parameters.m_SignalGen.m_Rotation[2]; translation[0] = m_RandGen->GetVariateWithClosedRange(m_Parameters.m_SignalGen.m_Translation[0]*2) -m_Parameters.m_SignalGen.m_Translation[0]; translation[1] = m_RandGen->GetVariateWithClosedRange(m_Parameters.m_SignalGen.m_Translation[1]*2) -m_Parameters.m_SignalGen.m_Translation[1]; translation[2] = m_RandGen->GetVariateWithClosedRange(m_Parameters.m_SignalGen.m_Translation[2]*2) -m_Parameters.m_SignalGen.m_Translation[2]; m_FiberBundleTransformed->TransformFibers(rotation[0], rotation[1], rotation[2], translation[0], translation[1], translation[2]); } else { // linearly rotation = m_Parameters.m_SignalGen.m_Rotation / m_NumMotionVolumes; translation = m_Parameters.m_SignalGen.m_Translation / m_NumMotionVolumes; m_MotionCounter++; m_FiberBundleTransformed->TransformFibers(rotation[0], rotation[1], rotation[2], translation[0], translation[1], translation[2]); rotation *= m_MotionCounter; translation *= m_MotionCounter; } MatrixType rotationMatrix = mitk::imv::GetRotationMatrixItk(rotation[0], rotation[1], rotation[2]); MatrixType rotationMatrixInv = mitk::imv::GetRotationMatrixItk(-rotation[0], -rotation[1], -rotation[2]); m_Rotations.push_back(rotationMatrix); m_RotationsInv.push_back(rotationMatrixInv); m_Translations.push_back(translation); // move mask image accoring to new transform if (m_MaskImageSet) { ImageRegionIterator maskIt(m_UpsampledMaskImage, m_UpsampledMaskImage->GetLargestPossibleRegion()); m_TransformedMaskImage->FillBuffer(0); while(!maskIt.IsAtEnd()) { if (maskIt.Get()<=0) { ++maskIt; continue; } DoubleDwiType::IndexType index = maskIt.GetIndex(); m_TransformedMaskImage->TransformPhysicalPointToIndex(GetMovedPoint(index, true), index); if (m_TransformedMaskImage->GetLargestPossibleRegion().IsInside(index)) m_TransformedMaskImage->SetPixel(index, 100); ++maskIt; } } } else { if (m_Parameters.m_SignalGen.m_DoAddMotion && !m_Parameters.m_SignalGen.m_DoRandomizeMotion && g>0) { rotation = m_Parameters.m_SignalGen.m_Rotation / m_NumMotionVolumes; rotation *= m_MotionCounter; m_Rotations.push_back(m_Rotations.back()); m_RotationsInv.push_back(m_RotationsInv.back()); m_Translations.push_back(m_Translations.back()); } else { rotation.Fill(0.0); VectorType translation; translation.Fill(0.0); MatrixType rotation_matrix; rotation_matrix.SetIdentity(); m_Rotations.push_back(rotation_matrix); m_RotationsInv.push_back(rotation_matrix); m_Translations.push_back(translation); } } if (m_Parameters.m_SignalGen.m_DoAddMotion) { m_MotionLog += boost::lexical_cast(g) + " rotation: " + boost::lexical_cast(rotation[0]) + "," + boost::lexical_cast(rotation[1]) + "," + boost::lexical_cast(rotation[2]) + ";"; m_MotionLog += " translation: " + boost::lexical_cast(m_Translations.back()[0]) + "," + boost::lexical_cast(m_Translations.back()[1]) + "," + boost::lexical_cast(m_Translations.back()[2]) + "\n"; } } template< class PixelType > itk::Point TractsToDWIImageFilter< PixelType >::GetMovedPoint(itk::Index<3>& index, bool forward) { itk::Point transformed_point; float tx = m_Translations.back()[0]; float ty = m_Translations.back()[1]; float tz = m_Translations.back()[2]; if (forward) { m_UpsampledMaskImage->TransformIndexToPhysicalPoint(index, transformed_point); m_FiberBundle->TransformPoint<>(transformed_point, m_Rotations.back(), tx, ty, tz); } else { tx *= -1; ty *= -1; tz *= -1; m_TransformedMaskImage->TransformIndexToPhysicalPoint(index, transformed_point); m_FiberBundle->TransformPoint<>(transformed_point, m_RotationsInv.back(), tx, ty, tz); } return transformed_point; } template< class PixelType > void TractsToDWIImageFilter< PixelType >:: SimulateExtraAxonalSignal(ItkUcharImgType::IndexType& index, itk::Point& volume_fraction_point, double intraAxonalVolume, int g) { int numFiberCompartments = m_Parameters.m_FiberModelList.size(); int numNonFiberCompartments = m_Parameters.m_NonFiberModelList.size(); if (m_Parameters.m_SignalGen.m_DoDisablePartialVolume) { // simulate signal for largest non-fiber compartment int max_compartment_index = 0; double max_fraction = 0; if (numNonFiberCompartments>1) { for (int i=0; iSetInputImage(m_Parameters.m_NonFiberModelList[i]->GetVolumeFractionImage()); double compartment_fraction = mitk::imv::GetImageValue(volume_fraction_point, true, m_DoubleInterpolator); if (compartment_fraction<0) mitkThrow() << "Volume fraction image (index " << i << ") contains values less than zero!"; if (compartment_fraction>max_fraction) { max_fraction = compartment_fraction; max_compartment_index = i; } } } DoubleDwiType::Pointer doubleDwi = m_CompartmentImages.at(max_compartment_index+numFiberCompartments); DoubleDwiType::PixelType pix = doubleDwi->GetPixel(index); pix[g] += m_Parameters.m_NonFiberModelList[max_compartment_index]->SimulateMeasurement(g, m_NullDir)*m_VoxelVolume; doubleDwi->SetPixel(index, pix); if (g==0) m_VolumeFractions.at(max_compartment_index+numFiberCompartments)->SetPixel(index, 1); } else { std::vector< double > fractions; if (g==0) m_VolumeFractions.at(0)->SetPixel(index, intraAxonalVolume/m_VoxelVolume); double extraAxonalVolume = m_VoxelVolume-intraAxonalVolume; // non-fiber volume if (extraAxonalVolume<0) { if (extraAxonalVolume<-0.001) MITK_ERROR << "Corrupted intra-axonal signal voxel detected. Fiber volume larger voxel volume! " << m_VoxelVolume << "<" << intraAxonalVolume; extraAxonalVolume = 0; } double interAxonalVolume = 0; if (numFiberCompartments>1) interAxonalVolume = extraAxonalVolume * intraAxonalVolume/m_VoxelVolume; // inter-axonal fraction of non fiber compartment double nonFiberVolume = extraAxonalVolume - interAxonalVolume; // rest of compartment if (nonFiberVolume<0) { if (nonFiberVolume<-0.001) MITK_ERROR << "Corrupted signal voxel detected. Fiber volume larger voxel volume!"; nonFiberVolume = 0; interAxonalVolume = extraAxonalVolume; } double compartmentSum = intraAxonalVolume; fractions.push_back(intraAxonalVolume/m_VoxelVolume); // rescale extra-axonal fiber signal for (int i=1; iGetVolumeFractionImage()!=nullptr) { m_DoubleInterpolator->SetInputImage(m_Parameters.m_FiberModelList[i]->GetVolumeFractionImage()); interAxonalVolume = mitk::imv::GetImageValue(volume_fraction_point, true, m_DoubleInterpolator)*m_VoxelVolume; if (interAxonalVolume<0) mitkThrow() << "Volume fraction image (index " << i+1 << ") contains negative values!"; } DoubleDwiType::PixelType pix = m_CompartmentImages.at(i)->GetPixel(index); pix[g] *= interAxonalVolume; m_CompartmentImages.at(i)->SetPixel(index, pix); compartmentSum += interAxonalVolume; fractions.push_back(interAxonalVolume/m_VoxelVolume); if (g==0) m_VolumeFractions.at(i)->SetPixel(index, interAxonalVolume/m_VoxelVolume); } for (int i=0; iGetVolumeFractionImage()!=nullptr) { m_DoubleInterpolator->SetInputImage(m_Parameters.m_NonFiberModelList[i]->GetVolumeFractionImage()); volume = mitk::imv::GetImageValue(volume_fraction_point, true, m_DoubleInterpolator)*m_VoxelVolume; if (volume<0) mitkThrow() << "Volume fraction image (index " << numFiberCompartments+i+1 << ") contains negative values (non-fiber compartment)!"; if (m_UseRelativeNonFiberVolumeFractions) volume *= nonFiberVolume/m_VoxelVolume; } DoubleDwiType::PixelType pix = m_CompartmentImages.at(i+numFiberCompartments)->GetPixel(index); pix[g] += m_Parameters.m_NonFiberModelList[i]->SimulateMeasurement(g, m_NullDir)*volume; m_CompartmentImages.at(i+numFiberCompartments)->SetPixel(index, pix); compartmentSum += volume; fractions.push_back(volume/m_VoxelVolume); if (g==0) m_VolumeFractions.at(i+numFiberCompartments)->SetPixel(index, volume/m_VoxelVolume); } if (compartmentSum/m_VoxelVolume>1.05) { MITK_ERROR << "Compartments do not sum to 1 in voxel " << index << " (" << compartmentSum/m_VoxelVolume << ")"; for (auto val : fractions) MITK_ERROR << val; } } } template< class PixelType > itk::Vector TractsToDWIImageFilter< PixelType >::GetItkVector(double point[3]) { itk::Vector itkVector; itkVector[0] = point[0]; itkVector[1] = point[1]; itkVector[2] = point[2]; return itkVector; } template< class PixelType > vnl_vector_fixed TractsToDWIImageFilter< PixelType >::GetVnlVector(double point[3]) { vnl_vector_fixed vnlVector; vnlVector[0] = point[0]; vnlVector[1] = point[1]; vnlVector[2] = point[2]; return vnlVector; } template< class PixelType > vnl_vector_fixed TractsToDWIImageFilter< PixelType >::GetVnlVector(Vector& vector) { vnl_vector_fixed vnlVector; vnlVector[0] = vector[0]; vnlVector[1] = vector[1]; vnlVector[2] = vector[2]; return vnlVector; } template< class PixelType > double TractsToDWIImageFilter< PixelType >::RoundToNearest(double num) { return (num > 0.0) ? floor(num + 0.5) : ceil(num - 0.5); } template< class PixelType > std::string TractsToDWIImageFilter< PixelType >::GetTime() { m_TimeProbe.Stop(); unsigned long total = RoundToNearest(m_TimeProbe.GetTotal()); unsigned long hours = total/3600; unsigned long minutes = (total%3600)/60; unsigned long seconds = total%60; std::string out = ""; out.append(boost::lexical_cast(hours)); out.append(":"); out.append(boost::lexical_cast(minutes)); out.append(":"); out.append(boost::lexical_cast(seconds)); m_TimeProbe.Start(); return out; } } diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkAstrosticksModelParametersWidgetControls.ui b/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkAstrosticksModelParametersWidgetControls.ui index fa9620359c..75ee528ada 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkAstrosticksModelParametersWidgetControls.ui +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkAstrosticksModelParametersWidgetControls.ui @@ -1,147 +1,147 @@ QmitkAstrosticksModelParametersWidgetControls 0 0 356 133 0 0 Form 0 0 0 0 Use random number and orientation of sticks. Randomize Sticks true QFrame::NoFrame QFrame::Raised 0 0 0 0 <html><head/><body><p><span style=" font-style:italic;">d [mm</span><span style=" font-style:italic; vertical-align:super;">2</span><span style=" font-style:italic;">/s</span><span style=" font-style:italic;">]</span>:</p></body></html> Diffusivity along sticks. 5 1.000000000000000 0.000100000000000 0.001000000000000 <html><head/><body><p><span style=" font-style:italic;">T2</span> - Relaxation:</p></body></html> T2 relaxation time of this compartment (in milliseconds). 999999999 - 80 + 96 <html><head/><body><p><span style=" font-style:italic;">T1</span> - Relaxation:</p></body></html> T1 relaxation time of this compartment (in milliseconds). 999999999 - 920 + 1459 m_T2box m_D1box m_RandomCheck diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkBallModelParametersWidgetControls.ui b/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkBallModelParametersWidgetControls.ui index 668e522493..b4d460c400 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkBallModelParametersWidgetControls.ui +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkBallModelParametersWidgetControls.ui @@ -1,109 +1,109 @@ QmitkBallModelParametersWidgetControls 0 0 373 102 0 0 Form 0 0 0 0 T2 relaxation time of this compartment (in milliseconds). 999999999 - 80 + 96 Diffusivity along stick. 5 1.000000000000000 0.000100000000000 0.001000000000000 <html><head/><body><p><span style=" font-style:italic;">d [mm</span><span style=" font-style:italic; vertical-align:super;">2</span><span style=" font-style:italic;">/s]</span>:</p></body></html> <html><head/><body><p><span style=" font-style:italic;">T2</span> - Relaxation:</p></body></html> <html><head/><body><p><span style=" font-style:italic;">T1</span> - Relaxation:</p></body></html> T1 relaxation time of this compartment (in milliseconds). 999999999 - 920 + 1459 m_T2box m_D1box diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkDotModelParametersWidgetControls.ui b/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkDotModelParametersWidgetControls.ui index 34f6759c00..f6671c6206 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkDotModelParametersWidgetControls.ui +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkDotModelParametersWidgetControls.ui @@ -1,82 +1,82 @@ QmitkDotModelParametersWidgetControls 0 0 349 - 56 + 58 0 0 Form 0 0 0 0 <html><head/><body><p><span style=" font-style:italic;">T2</span> - Relaxation:</p></body></html> T2 relaxation time of this compartment (in milliseconds). 999999999 - 80 + 96 <html><head/><body><p><span style=" font-style:italic;">T1</span> - Relaxation:</p></body></html> T1 relaxation time of this compartment (in milliseconds). -1 999999999 - 920 + 1459 diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkStickModelParametersWidgetControls.ui b/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkStickModelParametersWidgetControls.ui index d69890d390..7a67fbb067 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkStickModelParametersWidgetControls.ui +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkStickModelParametersWidgetControls.ui @@ -1,109 +1,109 @@ QmitkStickModelParametersWidgetControls 0 0 342 92 0 0 Form 0 0 0 0 Diffusivity along stick. 5 1.000000000000000 0.000100000000000 0.001000000000000 T2 relaxation time of this compartment (in milliseconds). 999999999 - 110 + 70 <html><head/><body><p><span style=" font-style:italic;">T2</span> - Relaxation:</p></body></html> <html><head/><body><p><span style=" font-style:italic;">d [mm</span><span style=" font-style:italic; vertical-align:super;">2</span><span style=" font-style:italic;">/s]</span>:</p></body></html> <html><head/><body><p><span style=" font-style:italic;">T1 </span>- Relaxation:</p></body></html> T1 relaxation time of this compartment (in milliseconds). 999999999 - 780 + 974 m_T2box m_D1box diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkTensorModelParametersWidgetControls.ui b/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkTensorModelParametersWidgetControls.ui index 2917f41732..e5986b0525 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkTensorModelParametersWidgetControls.ui +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkTensorModelParametersWidgetControls.ui @@ -1,180 +1,180 @@ QmitkTensorModelParametersWidgetControls 0 0 364 190 0 0 Form 0 0 0 0 <html><head/><body><p><span style=" font-style:italic;">d</span><span style=" vertical-align:sub;">||</span><span style=" font-style:italic;"> [mm</span><span style=" font-style:italic; vertical-align:super;">2</span><span style=" font-style:italic;">/s]</span>:</p></body></html> Diffusivity along third eigenvector. 5 1.000000000000000 0.000100000000000 0.000250000000000 <html><head/><body><p><span style=" font-style:italic;">d</span><span style=" vertical-align:sub;">⟂2</span><span style=" font-style:italic;"> [mm</span><span style=" font-style:italic; vertical-align:super;">2</span><span style=" font-style:italic;">/s]</span>:</p></body></html> <html><head/><body><p><span style=" font-style:italic;">T2</span> - Relaxation:</p></body></html> Fractional anisotropy of resulting tensor. <html><head/><body><p>-</p></body></html> <html><head/><body><p><span style=" font-style:italic;">d</span><span style=" vertical-align:sub;">⟂1</span><span style=" font-style:italic;"> [mm</span><span style=" font-style:italic; vertical-align:super;">2</span><span style=" font-style:italic;">/s]</span>:</p></body></html> Diffusivity along largest eigenvector. 5 1.000000000000000 0.000100000000000 0.001000000000000 <html><head/><body><p><span style=" font-style:italic;">FA</span>:</p></body></html> Diffusivity along second eigenvector. 5 1.000000000000000 0.000100000000000 0.000250000000000 T2 relaxation time of this compartment (in milliseconds). 999999999 - 110 + 70 <html><head/><body><p><span style=" font-style:italic;">T1</span> - Relaxation:</p></body></html> T1 relaxation time of this compartment (in milliseconds). 999999999 - 780 + 974 m_T2box m_D1box m_D2box m_D3box diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkZeppelinModelParametersWidgetControls.ui b/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkZeppelinModelParametersWidgetControls.ui index 7d230c7f41..27cf81447b 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkZeppelinModelParametersWidgetControls.ui +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/QmitkZeppelinModelParametersWidgetControls.ui @@ -1,153 +1,153 @@ QmitkZeppelinModelParametersWidgetControls 0 0 355 154 0 0 Form 0 0 0 0 <html><head/><body><p><span style=" font-style:italic;">d</span><span style=" vertical-align:sub;">||</span><span style=" font-style:italic;"> [mm</span><span style=" font-style:italic; vertical-align:super;">2</span><span style=" font-style:italic;">/s]</span>:</p></body></html> <html><head/><body><p><span style=" font-style:italic;">T2</span> - Relaxation:</p></body></html> T2 relaxation time of this compartment (in milliseconds). 999999999 - 110 + 70 <html><head/><body><p><span style=" font-style:italic;">FA</span>:</p></body></html> <html><head/><body><p><span style=" font-style:italic;">d</span><span style=" vertical-align:sub;">⟂</span><span style=" font-style:italic;"> [mm</span><span style=" font-style:italic; vertical-align:super;">2</span><span style=" font-style:italic;">/s]</span>:</p></body></html> Diffusivity along second and third eigenvector. 5 1.000000000000000 0.000100000000000 0.000250000000000 Diffusivity along largest eigenvector. 5 1.000000000000000 0.000100000000000 0.001000000000000 Fractional anisotropy of resulting tensor. <html><head/><body><p>-</p></body></html> <html><head/><body><p><span style=" font-style:italic;">T1</span> - Relaxation:</p></body></html> T1 relaxation time of this compartment (in milliseconds). 999999999 - 780 + 974 m_T2box m_D1box m_D2box 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 e093833305..d31555e28e 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 @@ -1,2127 +1,2158 @@ /*=================================================================== 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 "QmitkFiberfoxView.h" // MITK #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() ); mitk::DiffusionPropertyHelper::SetGradientContainer(mitkImage, parameters.m_SignalGen.GetItkGradientContainer()); mitk::DiffusionPropertyHelper::SetReferenceBValue(mitkImage, parameters.m_SignalGen.GetBvalue()); mitk::DiffusionPropertyHelper::InitializeImage( mitkImage ); parameters.m_Misc.m_ResultNode->SetData( mitkImage ); GetDataStorage()->Add(parameters.m_Misc.m_ResultNode, parameters.m_Misc.m_ParentNode); if (m_Controls->m_VolumeFractionsBox->isChecked()) { 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); } int c = 1; std::vector< itk::TractsToDWIImageFilter< short >::DoubleDwiType::Pointer > output_real = m_TractsToDwiFilter->GetOutputImagesReal(); for (auto real : output_real) { mitk::Image::Pointer image = mitk::Image::New(); image->InitializeByItk(real.GetPointer()); image->SetVolume(real->GetBufferPointer()); mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData( image ); node->SetName("Coil-"+QString::number(c).toStdString()+"-real"); GetDataStorage()->Add(node, parameters.m_Misc.m_ResultNode); ++c; } c = 1; std::vector< itk::TractsToDWIImageFilter< short >::DoubleDwiType::Pointer > output_imag = m_TractsToDwiFilter->GetOutputImagesImag(); for (auto imag : output_imag) { mitk::Image::Pointer image = mitk::Image::New(); image->InitializeByItk(imag.GetPointer()); image->SetVolume(imag->GetBufferPointer()); mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData( image ); node->SetName("Coil-"+QString::number(c).toStdString()+"-imag"); GetDataStorage()->Add(node, parameters.m_Misc.m_ResultNode); ++c; } 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); } } 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_BallWidget2->SetT1(4658); + m_Controls->m_BallWidget2->SetT2(2200); m_Controls->m_AstrosticksWidget1->setVisible(false); m_Controls->m_AstrosticksWidget2->setVisible(false); - m_Controls->m_AstrosticksWidget2->SetT1(4500); + m_Controls->m_AstrosticksWidget2->SetT1(4658); + m_Controls->m_AstrosticksWidget2->SetT2(2200); m_Controls->m_DotWidget1->setVisible(false); m_Controls->m_DotWidget2->setVisible(false); - m_Controls->m_DotWidget2->SetT1(4500); + m_Controls->m_DotWidget2->SetT1(4658); + m_Controls->m_DotWidget2->SetT2(2200); 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_NoiseFrame->setVisible(false); m_Controls->m_ZeroRinging->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_Controls->m_DriftFrame->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 isOdf = mitk::NodePredicateDataType::New("Odfmage"); mitk::NodePredicateOr::Pointer isDiffusionImage = mitk::NodePredicateOr::New(isDwi, isDti); isDiffusionImage = mitk::NodePredicateOr::New(isDiffusionImage, isOdf); 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(7); 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_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_AddDrift, SIGNAL(stateChanged(int)), (QObject*) this, SLOT(OnAddDrift(int))); connect((QObject*) m_Controls->m_AddGibbsRinging, SIGNAL(stateChanged(int)), (QObject*) this, SLOT(OnAddRinging(int))); 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_2, SIGNAL( stateChanged(int)), (QObject*) this, SLOT(ShowAdvancedOptions(int))); connect((QObject*) m_Controls->m_UseBvalsBvecsBox, SIGNAL( stateChanged(int)), (QObject*) this, SLOT(OnBvalsBvecsCheck(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_LoadBvalsButton, SIGNAL(clicked()), (QObject*) this, SLOT(SetBvalsEdit())); connect((QObject*) m_Controls->m_LoadBvecsButton, SIGNAL(clicked()), (QObject*) this, SLOT(SetBvecsEdit())); 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))); + connect((QObject*) m_Controls->m_LineReadoutTimeBox, SIGNAL( valueChanged(double)), (QObject*) this, SLOT(OnTlineChanged())); } + OnTlineChanged(); UpdateGui(); } +void QmitkFiberfoxView::OnTlineChanged() +{ + unsigned int num_pix_line = 0; + if (m_Controls->m_TemplateComboBox->GetSelectedNode().IsNotNull()) // use geometry of selected image + { + mitk::Image::Pointer img = dynamic_cast(m_Controls->m_TemplateComboBox->GetSelectedNode()->GetData()); + num_pix_line = img->GetDimension(0); + } + else if (m_Controls->m_MaskComboBox->GetSelectedNode().IsNotNull()) // use geometry of mask image + { + mitk::Image::Pointer img = dynamic_cast(m_Controls->m_MaskComboBox->GetSelectedNode()->GetData()); + num_pix_line = img->GetDimension(0); + } + else + { + num_pix_line = static_cast(m_Controls->m_SizeX->value()); + } + + double value = m_Controls->m_LineReadoutTimeBox->value(); +// double dweel_pp = value/num_pix_line; + double bw = 1000.0/value; + double bw_pp = bw/num_pix_line; + std::string tt = "Bandwidth:\n" + boost::lexical_cast(static_cast(bw)) + "Hz\n" + boost::lexical_cast(static_cast(bw_pp)) + "Hz/Px"; + m_Controls->m_LineReadoutTimeBox->setToolTip(tt.c_str()); +} + void QmitkFiberfoxView::OnMaskSelected(int ) { UpdateGui(); } void QmitkFiberfoxView::OnTemplateSelected(int ) { UpdateGui(); } void QmitkFiberfoxView::OnFibSelected(int ) { UpdateGui(); } void QmitkFiberfoxView::OnBvalsBvecsCheck(int ) { UpdateGui(); } void QmitkFiberfoxView::UpdateParametersFromGui() { m_Parameters.ClearSignalParameters(); m_Parameters.m_Misc.m_CheckAdvancedSignalOptionsBox = m_Controls->m_AdvancedOptionsBox_2->isChecked(); m_Parameters.m_Misc.m_CheckOutputVolumeFractionsBox = m_Controls->m_VolumeFractionsBox->isChecked(); std::string outputPath = m_Controls->m_SavePathEdit->text().toStdString(); if (outputPath.compare("-")!=0) { m_Parameters.m_Misc.m_OutputPath = outputPath; m_Parameters.m_Misc.m_OutputPath += "/"; } else { m_Parameters.m_Misc.m_OutputPath = ""; } if (m_Controls->m_MaskComboBox->GetSelectedNode().IsNotNull()) { mitk::Image::Pointer mitkMaskImage = dynamic_cast(m_Controls->m_MaskComboBox->GetSelectedNode()->GetData()); mitk::CastToItkImage(mitkMaskImage, m_Parameters.m_SignalGen.m_MaskImage); itk::ImageDuplicator::Pointer duplicator = itk::ImageDuplicator::New(); duplicator->SetInputImage(m_Parameters.m_SignalGen.m_MaskImage); duplicator->Update(); m_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); m_Parameters.m_SignalGen.m_ImageRegion = itkVectorImagePointer->GetLargestPossibleRegion(); m_Parameters.m_SignalGen.m_ImageSpacing = itkVectorImagePointer->GetSpacing(); m_Parameters.m_SignalGen.m_ImageOrigin = itkVectorImagePointer->GetOrigin(); m_Parameters.m_SignalGen.m_ImageDirection = itkVectorImagePointer->GetDirection(); m_Parameters.SetBvalue(mitk::DiffusionPropertyHelper::GetReferenceBValue(dwi)); m_Parameters.SetGradienDirections(mitk::DiffusionPropertyHelper::GetOriginalGradientContainer(dwi)); } 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); m_Parameters.m_SignalGen.m_ImageRegion = itkImg->GetLargestPossibleRegion(); m_Parameters.m_SignalGen.m_ImageSpacing = itkImg->GetSpacing(); m_Parameters.m_SignalGen.m_ImageOrigin = itkImg->GetOrigin(); m_Parameters.m_SignalGen.m_ImageDirection = itkImg->GetDirection(); if (m_Controls->m_UseBvalsBvecsBox->isChecked()) { double bval; m_Parameters.SetGradienDirections( mitk::gradients::ReadBvalsBvecs(m_Controls->m_LoadBvalsEdit->text().toStdString(), m_Controls->m_LoadBvecsEdit->text().toStdString(), bval) ); m_Parameters.SetBvalue(bval); } else { m_Parameters.SetNumWeightedVolumes(m_Controls->m_NumGradientsBox->value()); m_Parameters.SetBvalue(m_Controls->m_BvalueBox->value()); m_Parameters.GenerateGradientHalfShell(); } } else if (m_Parameters.m_SignalGen.m_MaskImage.IsNotNull()) // use geometry of mask image { ItkUcharImgType::Pointer itkImg = m_Parameters.m_SignalGen.m_MaskImage; m_Parameters.m_SignalGen.m_ImageRegion = itkImg->GetLargestPossibleRegion(); m_Parameters.m_SignalGen.m_ImageSpacing = itkImg->GetSpacing(); m_Parameters.m_SignalGen.m_ImageOrigin = itkImg->GetOrigin(); m_Parameters.m_SignalGen.m_ImageDirection = itkImg->GetDirection(); if (m_Controls->m_UseBvalsBvecsBox->isChecked()) { double bval; m_Parameters.SetGradienDirections( mitk::gradients::ReadBvalsBvecs(m_Controls->m_LoadBvalsEdit->text().toStdString(), m_Controls->m_LoadBvecsEdit->text().toStdString(), bval) ); m_Parameters.SetBvalue(bval); } else { m_Parameters.SetNumWeightedVolumes(m_Controls->m_NumGradientsBox->value()); m_Parameters.SetBvalue(m_Controls->m_BvalueBox->value()); m_Parameters.GenerateGradientHalfShell(); } } else // use GUI parameters { m_Parameters.m_SignalGen.m_ImageRegion.SetSize(0, m_Controls->m_SizeX->value()); m_Parameters.m_SignalGen.m_ImageRegion.SetSize(1, m_Controls->m_SizeY->value()); m_Parameters.m_SignalGen.m_ImageRegion.SetSize(2, m_Controls->m_SizeZ->value()); m_Parameters.m_SignalGen.m_ImageSpacing[0] = m_Controls->m_SpacingX->value(); m_Parameters.m_SignalGen.m_ImageSpacing[1] = m_Controls->m_SpacingY->value(); m_Parameters.m_SignalGen.m_ImageSpacing[2] = m_Controls->m_SpacingZ->value(); m_Parameters.m_SignalGen.m_ImageOrigin[0] = m_Parameters.m_SignalGen.m_ImageSpacing[0]/2; m_Parameters.m_SignalGen.m_ImageOrigin[1] = m_Parameters.m_SignalGen.m_ImageSpacing[1]/2; m_Parameters.m_SignalGen.m_ImageOrigin[2] = m_Parameters.m_SignalGen.m_ImageSpacing[2]/2; m_Parameters.m_SignalGen.m_ImageDirection.SetIdentity(); if (m_Controls->m_UseBvalsBvecsBox->isChecked()) { double bval; m_Parameters.SetGradienDirections( mitk::gradients::ReadBvalsBvecs(m_Controls->m_LoadBvalsEdit->text().toStdString(), m_Controls->m_LoadBvecsEdit->text().toStdString(), bval) ); m_Parameters.SetBvalue(bval); } else { m_Parameters.SetNumWeightedVolumes(m_Controls->m_NumGradientsBox->value()); m_Parameters.SetBvalue(m_Controls->m_BvalueBox->value()); m_Parameters.GenerateGradientHalfShell(); } } // signal relaxation m_Parameters.m_SignalGen.m_DoSimulateRelaxation = false; if (m_Controls->m_RelaxationBox->isChecked()) { m_Parameters.m_SignalGen.m_DoSimulateRelaxation = true; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Relaxation", BoolProperty::New(true)); m_Parameters.m_Misc.m_ArtifactModelString += "_RELAX"; } m_Parameters.m_SignalGen.m_SimulateKspaceAcquisition = m_Parameters.m_SignalGen.m_DoSimulateRelaxation; // N/2 ghosts m_Parameters.m_Misc.m_DoAddGhosts = m_Controls->m_AddGhosts->isChecked(); m_Parameters.m_SignalGen.m_KspaceLineOffset = m_Controls->m_kOffsetBox->value(); if (m_Controls->m_AddGhosts->isChecked()) { m_Parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; m_Parameters.m_Misc.m_ArtifactModelString += "_GHOST"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Ghost", DoubleProperty::New(m_Parameters.m_SignalGen.m_KspaceLineOffset)); } // Aliasing m_Parameters.m_Misc.m_DoAddAliasing = m_Controls->m_AddAliasing->isChecked(); m_Parameters.m_SignalGen.m_CroppingFactor = (100-m_Controls->m_WrapBox->value())/100; if (m_Controls->m_AddAliasing->isChecked()) { m_Parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; m_Parameters.m_Misc.m_ArtifactModelString += "_ALIASING"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Aliasing", DoubleProperty::New(m_Controls->m_WrapBox->value())); } // Spikes m_Parameters.m_Misc.m_DoAddSpikes = m_Controls->m_AddSpikes->isChecked(); m_Parameters.m_SignalGen.m_Spikes = m_Controls->m_SpikeNumBox->value(); m_Parameters.m_SignalGen.m_SpikeAmplitude = m_Controls->m_SpikeScaleBox->value(); if (m_Controls->m_AddSpikes->isChecked()) { m_Parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; m_Parameters.m_Misc.m_ArtifactModelString += "_SPIKES"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Spikes.Number", IntProperty::New(m_Parameters.m_SignalGen.m_Spikes)); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Spikes.Amplitude", DoubleProperty::New(m_Parameters.m_SignalGen.m_SpikeAmplitude)); } // Drift m_Parameters.m_SignalGen.m_DoAddDrift = m_Controls->m_AddDrift->isChecked(); m_Parameters.m_SignalGen.m_Drift = static_cast(m_Controls->m_DriftFactor->value())/100; if (m_Controls->m_AddDrift->isChecked()) { m_Parameters.m_Misc.m_ArtifactModelString += "_DRIFT"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Drift", FloatProperty::New(m_Parameters.m_SignalGen.m_Drift)); } // gibbs ringing m_Parameters.m_SignalGen.m_DoAddGibbsRinging = m_Controls->m_AddGibbsRinging->isChecked(); m_Parameters.m_SignalGen.m_ZeroRinging = m_Controls->m_ZeroRinging->value(); if (m_Controls->m_AddGibbsRinging->isChecked()) { m_Parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Ringing", BoolProperty::New(true)); m_Parameters.m_Misc.m_ArtifactModelString += "_RINGING"; } // add distortions m_Parameters.m_Misc.m_DoAddDistortions = 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()); ItkFloatImgType::Pointer itkImg = ItkFloatImgType::New(); CastToItkImage< ItkFloatImgType >(img, itkImg); if (m_Controls->m_TemplateComboBox->GetSelectedNode().IsNull()) // use geometry of frequency map { m_Parameters.m_SignalGen.m_ImageRegion = itkImg->GetLargestPossibleRegion(); m_Parameters.m_SignalGen.m_ImageSpacing = itkImg->GetSpacing(); m_Parameters.m_SignalGen.m_ImageOrigin = itkImg->GetOrigin(); m_Parameters.m_SignalGen.m_ImageDirection = itkImg->GetDirection(); } m_Parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; itk::ImageDuplicator::Pointer duplicator = itk::ImageDuplicator::New(); duplicator->SetInputImage(itkImg); duplicator->Update(); m_Parameters.m_SignalGen.m_FrequencyMap = duplicator->GetOutput(); m_Parameters.m_Misc.m_ArtifactModelString += "_DISTORTED"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Distortions", BoolProperty::New(true)); } m_Parameters.m_SignalGen.m_EddyStrength = m_Controls->m_EddyGradientStrength->value(); m_Parameters.m_Misc.m_DoAddEddyCurrents = m_Controls->m_AddEddy->isChecked(); if (m_Controls->m_AddEddy->isChecked()) { m_Parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; m_Parameters.m_Misc.m_ArtifactModelString += "_EDDY"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Eddy-strength", DoubleProperty::New(m_Parameters.m_SignalGen.m_EddyStrength)); } // Motion m_Parameters.m_SignalGen.m_DoAddMotion = false; m_Parameters.m_SignalGen.m_DoRandomizeMotion = m_Controls->m_RandomMotion->isChecked(); m_Parameters.m_SignalGen.m_Translation[0] = m_Controls->m_MaxTranslationBoxX->value(); m_Parameters.m_SignalGen.m_Translation[1] = m_Controls->m_MaxTranslationBoxY->value(); m_Parameters.m_SignalGen.m_Translation[2] = m_Controls->m_MaxTranslationBoxZ->value(); m_Parameters.m_SignalGen.m_Rotation[0] = m_Controls->m_MaxRotationBoxX->value(); m_Parameters.m_SignalGen.m_Rotation[1] = m_Controls->m_MaxRotationBoxY->value(); m_Parameters.m_SignalGen.m_Rotation[2] = m_Controls->m_MaxRotationBoxZ->value(); m_Parameters.m_SignalGen.m_MotionVolumes.clear(); m_Parameters.m_Misc.m_MotionVolumesBox = m_Controls->m_MotionVolumesBox->text().toStdString(); if ( m_Controls->m_AddMotion->isChecked()) { m_Parameters.m_SignalGen.m_DoAddMotion = true; m_Parameters.m_Misc.m_ArtifactModelString += "_MOTION"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Motion.Random", BoolProperty::New(m_Parameters.m_SignalGen.m_DoRandomizeMotion)); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Motion.Translation-x", DoubleProperty::New(m_Parameters.m_SignalGen.m_Translation[0])); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Motion.Translation-y", DoubleProperty::New(m_Parameters.m_SignalGen.m_Translation[1])); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Motion.Translation-z", DoubleProperty::New(m_Parameters.m_SignalGen.m_Translation[2])); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Motion.Rotation-x", DoubleProperty::New(m_Parameters.m_SignalGen.m_Rotation[0])); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Motion.Rotation-y", DoubleProperty::New(m_Parameters.m_SignalGen.m_Rotation[1])); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Motion.Rotation-z", DoubleProperty::New(m_Parameters.m_SignalGen.m_Rotation[2])); if ( m_Parameters.m_Misc.m_MotionVolumesBox == "random" ) { for ( size_t i=0; i < m_Parameters.m_SignalGen.GetNumVolumes(); ++i ) { m_Parameters.m_SignalGen.m_MotionVolumes.push_back( bool( rand()%2 ) ); } MITK_DEBUG << "QmitkFiberfoxView.cpp: Case m_Misc.m_MotionVolumesBox == \"random\"."; } else if ( ! m_Parameters.m_Misc.m_MotionVolumesBox.empty() ) { std::stringstream stream( m_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 < m_Parameters.m_SignalGen.GetNumVolumes(); ++i ) { m_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)m_Parameters.m_SignalGen.GetNumVolumes() && -(*iter) >= 0 ) { m_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 < m_Parameters.m_SignalGen.GetNumVolumes(); ++i ) { m_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)m_Parameters.m_SignalGen.GetNumVolumes() && *iter >= 0 ) { m_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 { m_Parameters.m_Misc.m_MotionVolumesBox = ""; // set empty. m_Controls->m_MotionVolumesBox->setText(""); for (unsigned int i=0; im_AcquisitionTypeBox->currentIndex(); m_Parameters.m_SignalGen.m_CoilSensitivityProfile = (SignalGenerationParameters::CoilSensitivityProfile)m_Controls->m_CoilSensBox->currentIndex(); m_Parameters.m_SignalGen.m_NumberOfCoils = m_Controls->m_NumCoilsBox->value(); m_Parameters.m_SignalGen.m_PartialFourier = m_Controls->m_PartialFourier->value(); m_Parameters.m_SignalGen.m_ReversePhase = m_Controls->m_ReversePhaseBox->isChecked(); m_Parameters.m_SignalGen.m_tLine = m_Controls->m_LineReadoutTimeBox->value(); m_Parameters.m_SignalGen.m_tInhom = m_Controls->m_T2starBox->value(); m_Parameters.m_SignalGen.m_EchoTrainLength = m_Controls->m_EtlBox->value(); m_Parameters.m_SignalGen.m_tEcho = m_Controls->m_TEbox->value(); m_Parameters.m_SignalGen.m_tRep = m_Controls->m_TRbox->value(); m_Parameters.m_SignalGen.m_tInv = m_Controls->m_TIbox->value(); m_Parameters.m_SignalGen.m_DoDisablePartialVolume = m_Controls->m_EnforcePureFiberVoxelsBox->isChecked(); m_Parameters.m_SignalGen.m_AxonRadius = m_Controls->m_FiberRadius->value(); m_Parameters.m_SignalGen.m_SignalScale = m_Controls->m_SignalScaleBox->value(); - double voxelVolume = m_Parameters.m_SignalGen.m_ImageSpacing[0] - * m_Parameters.m_SignalGen.m_ImageSpacing[1] - * m_Parameters.m_SignalGen.m_ImageSpacing[2]; - - if ( m_Parameters.m_SignalGen.m_SignalScale*voxelVolume > itk::NumericTraits::max()*0.75 ) - { - m_Parameters.m_SignalGen.m_SignalScale = itk::NumericTraits::max()*0.75/voxelVolume; - m_Controls->m_SignalScaleBox->setValue(m_Parameters.m_SignalGen.m_SignalScale); - QMessageBox::information( nullptr, "Warning", - "Maximum signal exceeding data type limits. Automatically adjusted to " - + QString::number(m_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."); - } +// double voxelVolume = m_Parameters.m_SignalGen.m_ImageSpacing[0] +// * m_Parameters.m_SignalGen.m_ImageSpacing[1] +// * m_Parameters.m_SignalGen.m_ImageSpacing[2]; +// if ( m_Parameters.m_SignalGen.m_SignalScale*voxelVolume > itk::NumericTraits::max()*0.75 ) +// { +// m_Parameters.m_SignalGen.m_SignalScale = itk::NumericTraits::max()*0.75/voxelVolume; +// m_Controls->m_SignalScaleBox->setValue(m_Parameters.m_SignalGen.m_SignalScale); +// QMessageBox::information( nullptr, "Warning", +// "Maximum signal exceeding data type limits. Automatically adjusted to " +// + QString::number(m_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 m_Parameters.m_Misc.m_DoAddNoise = m_Controls->m_AddNoise->isChecked(); m_Parameters.m_SignalGen.m_NoiseVariance = m_Controls->m_NoiseLevel->value(); if (m_Controls->m_AddNoise->isChecked()) { switch (m_Controls->m_NoiseDistributionBox->currentIndex()) { case 0: { if (m_Parameters.m_SignalGen.m_NoiseVariance>0) { m_Parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; m_Parameters.m_Misc.m_ArtifactModelString += "_COMPLEX-GAUSSIAN-"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Noise-Distribution", StringProperty::New("Complex Gaussian")); } break; } case 1: { if (m_Parameters.m_SignalGen.m_NoiseVariance>0) { m_Parameters.m_NoiseModel = std::make_shared< mitk::RicianNoiseModel >(); m_Parameters.m_Misc.m_ArtifactModelString += "_RICIAN-"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Noise-Distribution", StringProperty::New("Rician")); m_Parameters.m_NoiseModel->SetNoiseVariance(m_Parameters.m_SignalGen.m_NoiseVariance); } break; } case 2: { if (m_Parameters.m_SignalGen.m_NoiseVariance>0) { m_Parameters.m_NoiseModel = std::make_shared< mitk::ChiSquareNoiseModel >(); m_Parameters.m_Misc.m_ArtifactModelString += "_CHISQUARED-"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Noise-Distribution", StringProperty::New("Chi-squared")); m_Parameters.m_NoiseModel->SetNoiseVariance(m_Parameters.m_SignalGen.m_NoiseVariance); } break; } default: { if (m_Parameters.m_SignalGen.m_NoiseVariance>0) { m_Parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; m_Parameters.m_Misc.m_ArtifactModelString += "_COMPLEX-GAUSSIAN-"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Noise-Distribution", StringProperty::New("Complex Gaussian")); } break; } } if (m_Parameters.m_SignalGen.m_NoiseVariance>0) { m_Parameters.m_Misc.m_ArtifactModelString += QString::number(m_Parameters.m_SignalGen.m_NoiseVariance).toStdString(); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Noise-Variance", DoubleProperty::New(m_Parameters.m_SignalGen.m_NoiseVariance)); } } // signal models { // compartment 1 switch (m_Controls->m_Compartment1Box->currentIndex()) { case 0: { mitk::StickModel* model = new mitk::StickModel(); model->SetGradientList(m_Parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(m_Parameters.m_SignalGen.GetBvalue()); 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; m_Parameters.m_FiberModelList.push_back(model); m_Parameters.m_Misc.m_SignalModelString += "Stick"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Description", StringProperty::New("Intra-axonal compartment") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Model", StringProperty::New("Stick") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.D", DoubleProperty::New(m_Controls->m_StickWidget1->GetD()) ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.T2", DoubleProperty::New(model->GetT2()) ); break; } case 1: { mitk::TensorModel* model = new mitk::TensorModel(); model->SetGradientList(m_Parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(m_Parameters.m_SignalGen.GetBvalue()); 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; m_Parameters.m_FiberModelList.push_back(model); m_Parameters.m_Misc.m_SignalModelString += "Zeppelin"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Description", StringProperty::New("Intra-axonal compartment") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Model", StringProperty::New("Zeppelin") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.D1", DoubleProperty::New(m_Controls->m_ZeppelinWidget1->GetD1()) ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.D2", DoubleProperty::New(m_Controls->m_ZeppelinWidget1->GetD2()) ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.T2", DoubleProperty::New(model->GetT2()) ); break; } case 2: { mitk::TensorModel* model = new mitk::TensorModel(); model->SetGradientList(m_Parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(m_Parameters.m_SignalGen.GetBvalue()); 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; m_Parameters.m_FiberModelList.push_back(model); m_Parameters.m_Misc.m_SignalModelString += "Tensor"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Description", StringProperty::New("Intra-axonal compartment") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Model", StringProperty::New("Tensor") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.D1", DoubleProperty::New(m_Controls->m_TensorWidget1->GetD1()) ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.D2", DoubleProperty::New(m_Controls->m_TensorWidget1->GetD2()) ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.D3", DoubleProperty::New(m_Controls->m_TensorWidget1->GetD3()) ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.T2", DoubleProperty::New(model->GetT2()) ); break; } case 3: { mitk::RawShModel* model = new mitk::RawShModel(); m_Parameters.m_SignalGen.m_DoSimulateRelaxation = false; model->SetGradientList(m_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; m_Parameters.m_FiberModelList.push_back(model); m_Parameters.m_Misc.m_SignalModelString += "Prototype"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Description", StringProperty::New("Intra-axonal compartment") ); m_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); m_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(m_Parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(m_Parameters.m_SignalGen.GetBvalue()); 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; m_Parameters.m_FiberModelList.push_back(model); m_Parameters.m_Misc.m_SignalModelString += "Stick"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.Description", StringProperty::New("Inter-axonal compartment") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.Model", StringProperty::New("Stick") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.D", DoubleProperty::New(m_Controls->m_StickWidget2->GetD()) ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.T2", DoubleProperty::New(model->GetT2()) ); break; } case 2: { mitk::TensorModel* model = new mitk::TensorModel(); model->SetGradientList(m_Parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(m_Parameters.m_SignalGen.GetBvalue()); 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; m_Parameters.m_FiberModelList.push_back(model); m_Parameters.m_Misc.m_SignalModelString += "Zeppelin"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.Description", StringProperty::New("Inter-axonal compartment") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.Model", StringProperty::New("Zeppelin") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.D1", DoubleProperty::New(m_Controls->m_ZeppelinWidget2->GetD1()) ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.D2", DoubleProperty::New(m_Controls->m_ZeppelinWidget2->GetD2()) ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.T2", DoubleProperty::New(model->GetT2()) ); break; } case 3: { mitk::TensorModel* model = new mitk::TensorModel(); model->SetGradientList(m_Parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(m_Parameters.m_SignalGen.GetBvalue()); 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; m_Parameters.m_FiberModelList.push_back(model); m_Parameters.m_Misc.m_SignalModelString += "Tensor"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.Description", StringProperty::New("Inter-axonal compartment") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.Model", StringProperty::New("Tensor") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.D1", DoubleProperty::New(m_Controls->m_TensorWidget2->GetD1()) ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.D2", DoubleProperty::New(m_Controls->m_TensorWidget2->GetD2()) ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.D3", DoubleProperty::New(m_Controls->m_TensorWidget2->GetD3()) ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.T2", DoubleProperty::New(model->GetT2()) ); break; } } if (m_Controls->m_Comp2VolumeFraction->GetSelectedNode().IsNotNull() && m_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); m_Parameters.m_FiberModelList.back()->SetVolumeFractionImage(comp1VolumeImage); } // compartment 3 switch (m_Controls->m_Compartment3Box->currentIndex()) { case 0: { mitk::BallModel* model = new mitk::BallModel(); model->SetGradientList(m_Parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(m_Parameters.m_SignalGen.GetBvalue()); 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; m_Parameters.m_NonFiberModelList.push_back(model); m_Parameters.m_Misc.m_SignalModelString += "Ball"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Description", StringProperty::New("Extra-axonal compartment 1") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Model", StringProperty::New("Ball") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.D", DoubleProperty::New(m_Controls->m_BallWidget1->GetD()) ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.T2", DoubleProperty::New(model->GetT2()) ); break; } case 1: { mitk::AstroStickModel* model = new mitk::AstroStickModel(); model->SetGradientList(m_Parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(m_Parameters.m_SignalGen.GetBvalue()); 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; m_Parameters.m_NonFiberModelList.push_back(model); m_Parameters.m_Misc.m_SignalModelString += "Astrosticks"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Description", StringProperty::New("Extra-axonal compartment 1") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Model", StringProperty::New("Astrosticks") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.D", DoubleProperty::New(m_Controls->m_AstrosticksWidget1->GetD()) ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.T2", DoubleProperty::New(model->GetT2()) ); m_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(m_Parameters.m_SignalGen.GetGradientDirections()); model->SetT2(m_Controls->m_DotWidget1->GetT2()); model->SetT1(m_Controls->m_DotWidget1->GetT1()); model->m_CompartmentId = 3; m_Parameters.m_NonFiberModelList.push_back(model); m_Parameters.m_Misc.m_SignalModelString += "Dot"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Description", StringProperty::New("Extra-axonal compartment 1") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Model", StringProperty::New("Dot") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.T2", DoubleProperty::New(model->GetT2()) ); break; } case 3: { mitk::RawShModel* model = new mitk::RawShModel(); m_Parameters.m_SignalGen.m_DoSimulateRelaxation = false; model->SetGradientList(m_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; m_Parameters.m_NonFiberModelList.push_back(model); m_Parameters.m_Misc.m_SignalModelString += "Prototype"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Description", StringProperty::New("Extra-axonal compartment 1") ); m_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); m_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(m_Parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(m_Parameters.m_SignalGen.GetBvalue()); 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; m_Parameters.m_NonFiberModelList.push_back(model); m_Parameters.m_Misc.m_SignalModelString += "Ball"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Description", StringProperty::New("Extra-axonal compartment 2") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Model", StringProperty::New("Ball") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.D", DoubleProperty::New(m_Controls->m_BallWidget2->GetD()) ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.T2", DoubleProperty::New(model->GetT2()) ); break; } case 2: { mitk::AstroStickModel* model = new mitk::AstroStickModel(); model->SetGradientList(m_Parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(m_Parameters.m_SignalGen.GetBvalue()); 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; m_Parameters.m_NonFiberModelList.push_back(model); m_Parameters.m_Misc.m_SignalModelString += "Astrosticks"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Description", StringProperty::New("Extra-axonal compartment 2") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Model", StringProperty::New("Astrosticks") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.D", DoubleProperty::New(m_Controls->m_AstrosticksWidget2->GetD()) ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.T2", DoubleProperty::New(model->GetT2()) ); m_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(m_Parameters.m_SignalGen.GetGradientDirections()); model->SetT2(m_Controls->m_DotWidget2->GetT2()); model->SetT1(m_Controls->m_DotWidget2->GetT1()); model->m_CompartmentId = 4; m_Parameters.m_NonFiberModelList.push_back(model); m_Parameters.m_Misc.m_SignalModelString += "Dot"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Description", StringProperty::New("Extra-axonal compartment 2") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Model", StringProperty::New("Dot") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.T2", DoubleProperty::New(model->GetT2()) ); break; } case 4: { mitk::RawShModel* model = new mitk::RawShModel(); m_Parameters.m_SignalGen.m_DoSimulateRelaxation = false; model->SetGradientList(m_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; m_Parameters.m_NonFiberModelList.push_back(model); m_Parameters.m_Misc.m_SignalModelString += "Prototype"; m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Description", StringProperty::New("Extra-axonal compartment 2") ); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Model", StringProperty::New("Prototype") ); break; } } if (m_Controls->m_Comp4VolumeFraction->GetSelectedNode().IsNotNull() && m_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); m_Parameters.m_NonFiberModelList.back()->SetVolumeFractionImage(compVolumeImage); } } m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.SignalScale", IntProperty::New(m_Parameters.m_SignalGen.m_SignalScale)); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.FiberRadius", IntProperty::New(m_Parameters.m_SignalGen.m_AxonRadius)); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Tinhom", DoubleProperty::New(m_Parameters.m_SignalGen.m_tInhom)); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.echoTrainLength", IntProperty::New(m_Parameters.m_SignalGen.m_EchoTrainLength)); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Tline", DoubleProperty::New(m_Parameters.m_SignalGen.m_tLine)); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.TE", DoubleProperty::New(m_Parameters.m_SignalGen.m_tEcho)); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.b-value", DoubleProperty::New(m_Parameters.m_SignalGen.GetBvalue())); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.NoPartialVolume", BoolProperty::New(m_Parameters.m_SignalGen.m_DoDisablePartialVolume)); m_Parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Relaxation", BoolProperty::New(m_Parameters.m_SignalGen.m_DoSimulateRelaxation)); m_Parameters.m_Misc.m_ResultNode->AddProperty("binary", BoolProperty::New(false)); } void QmitkFiberfoxView::SaveParameters(QString filename) { UpdateParametersFromGui(); std::vector< int > bVals = m_Parameters.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* >(m_Parameters.m_FiberModelList.at(i)); } else { model = dynamic_cast< mitk::RawShModel<>* >(m_Parameters.m_NonFiberModelList.at(i-m_Parameters.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(mitk::DiffusionPropertyHelper::GetReferenceBValue(diffImg)); filter->SetGradientImage(mitk::DiffusionPropertyHelper::GetGradientContainer(diffImg), itkVectorImagePointer ); filter->Update(); tensorImage = filter->GetOutput(); QballFilterType::Pointer qballfilter = QballFilterType::New(); qballfilter->SetBValue(mitk::DiffusionPropertyHelper::GetReferenceBValue(diffImg)); qballfilter->SetGradientImage(mitk::DiffusionPropertyHelper::GetGradientContainer(diffImg), 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(mitk::DiffusionPropertyHelper::GetGradientContainer(diffImg)); adcFilter->SetB_value(mitk::DiffusionPropertyHelper::GetReferenceBValue(diffImg)); 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(mitk::DiffusionPropertyHelper::GetReferenceBValue(diffImg)); filter->SetGradientImage(mitk::DiffusionPropertyHelper::GetGradientContainer(diffImg), itkVectorImagePointer ); filter->Update(); tensorImage = filter->GetOutput(); QballFilterType::Pointer qballfilter = QballFilterType::New(); qballfilter->SetBValue(mitk::DiffusionPropertyHelper::GetReferenceBValue(diffImg)); qballfilter->SetGradientImage(mitk::DiffusionPropertyHelper::GetGradientContainer(diffImg), 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(mitk::DiffusionPropertyHelper::GetGradientContainer(diffImg)); adcFilter->SetB_value(mitk::DiffusionPropertyHelper::GetReferenceBValue(diffImg)); adcFilter->Update(); adcImage = adcFilter->GetOutput(); if (dosampling && diffImg.IsNotNull()) { ok = model->SampleKernels(diffImg, m_Parameters.m_SignalGen.m_MaskImage, tensorImage, itkFeatureImage, adcImage); if (!ok) { QMessageBox::information( nullptr, "Parameter file not saved", "No valid prototype signals could be sampled."); return; } } } } m_Parameters.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; m_Parameters.LoadParameters(filename.toStdString()); if (m_Parameters.m_MissingTags.size()>0) { QString missing("Parameter file might be corrupted. The following parameters could not be read: "); missing += QString(m_Parameters.m_MissingTags.c_str()); missing += "\nDefault values have been assigned to the missing parameters."; QMessageBox::information( nullptr, "Warning!", missing); } // image generation parameters m_Controls->m_SizeX->setValue(m_Parameters.m_SignalGen.m_ImageRegion.GetSize(0)); m_Controls->m_SizeY->setValue(m_Parameters.m_SignalGen.m_ImageRegion.GetSize(1)); m_Controls->m_SizeZ->setValue(m_Parameters.m_SignalGen.m_ImageRegion.GetSize(2)); m_Controls->m_SpacingX->setValue(m_Parameters.m_SignalGen.m_ImageSpacing[0]); m_Controls->m_SpacingY->setValue(m_Parameters.m_SignalGen.m_ImageSpacing[1]); m_Controls->m_SpacingZ->setValue(m_Parameters.m_SignalGen.m_ImageSpacing[2]); m_Controls->m_NumGradientsBox->setValue(m_Parameters.m_SignalGen.GetNumWeightedVolumes()); m_Controls->m_BvalueBox->setValue(m_Parameters.m_SignalGen.GetBvalue()); m_Controls->m_SignalScaleBox->setValue(m_Parameters.m_SignalGen.m_SignalScale); m_Controls->m_TEbox->setValue(m_Parameters.m_SignalGen.m_tEcho); m_Controls->m_LineReadoutTimeBox->setValue(m_Parameters.m_SignalGen.m_tLine); m_Controls->m_T2starBox->setValue(m_Parameters.m_SignalGen.m_tInhom); m_Controls->m_EtlBox->setValue(m_Parameters.m_SignalGen.m_EchoTrainLength); m_Controls->m_FiberRadius->setValue(m_Parameters.m_SignalGen.m_AxonRadius); m_Controls->m_RelaxationBox->setChecked(m_Parameters.m_SignalGen.m_DoSimulateRelaxation); m_Controls->m_EnforcePureFiberVoxelsBox->setChecked(m_Parameters.m_SignalGen.m_DoDisablePartialVolume); m_Controls->m_ReversePhaseBox->setChecked(m_Parameters.m_SignalGen.m_ReversePhase); m_Controls->m_PartialFourier->setValue(m_Parameters.m_SignalGen.m_PartialFourier); m_Controls->m_TRbox->setValue(m_Parameters.m_SignalGen.m_tRep); m_Controls->m_TIbox->setValue(m_Parameters.m_SignalGen.m_tInv); m_Controls->m_NumCoilsBox->setValue(m_Parameters.m_SignalGen.m_NumberOfCoils); m_Controls->m_CoilSensBox->setCurrentIndex(m_Parameters.m_SignalGen.m_CoilSensitivityProfile); m_Controls->m_AcquisitionTypeBox->setCurrentIndex(m_Parameters.m_SignalGen.m_AcquisitionType); if (!m_Parameters.m_Misc.m_BvalsFile.empty()) { m_Controls->m_UseBvalsBvecsBox->setChecked(true); m_Controls->m_LoadBvalsEdit->setText(QString(m_Parameters.m_Misc.m_BvalsFile.c_str())); } else m_Controls->m_LoadBvalsEdit->setText("-"); if (!m_Parameters.m_Misc.m_BvecsFile.empty()) { m_Controls->m_UseBvalsBvecsBox->setChecked(true); m_Controls->m_LoadBvecsEdit->setText(QString(m_Parameters.m_Misc.m_BvecsFile.c_str())); } else m_Controls->m_LoadBvecsEdit->setText("-"); if (m_Parameters.m_NoiseModel!=nullptr) { m_Controls->m_AddNoise->setChecked(m_Parameters.m_Misc.m_DoAddNoise); if (dynamic_cast*>(m_Parameters.m_NoiseModel.get())) { m_Controls->m_NoiseDistributionBox->setCurrentIndex(0); } else if (dynamic_cast*>(m_Parameters.m_NoiseModel.get())) { m_Controls->m_NoiseDistributionBox->setCurrentIndex(1); } m_Controls->m_NoiseLevel->setValue(m_Parameters.m_NoiseModel->GetNoiseVariance()); } else { m_Controls->m_AddNoise->setChecked(m_Parameters.m_Misc.m_DoAddNoise); m_Controls->m_NoiseLevel->setValue(m_Parameters.m_SignalGen.m_NoiseVariance); } m_Controls->m_VolumeFractionsBox->setChecked(m_Parameters.m_Misc.m_CheckOutputVolumeFractionsBox); m_Controls->m_AdvancedOptionsBox_2->setChecked(m_Parameters.m_Misc.m_CheckAdvancedSignalOptionsBox); m_Controls->m_AddGhosts->setChecked(m_Parameters.m_Misc.m_DoAddGhosts); m_Controls->m_AddAliasing->setChecked(m_Parameters.m_Misc.m_DoAddAliasing); m_Controls->m_AddDistortions->setChecked(m_Parameters.m_Misc.m_DoAddDistortions); m_Controls->m_AddSpikes->setChecked(m_Parameters.m_Misc.m_DoAddSpikes); m_Controls->m_AddEddy->setChecked(m_Parameters.m_Misc.m_DoAddEddyCurrents); m_Controls->m_AddDrift->setChecked(m_Parameters.m_SignalGen.m_DoAddDrift); m_Controls->m_kOffsetBox->setValue(m_Parameters.m_SignalGen.m_KspaceLineOffset); m_Controls->m_WrapBox->setValue(100*(1-m_Parameters.m_SignalGen.m_CroppingFactor)); m_Controls->m_DriftFactor->setValue(100*m_Parameters.m_SignalGen.m_Drift); m_Controls->m_SpikeNumBox->setValue(m_Parameters.m_SignalGen.m_Spikes); m_Controls->m_SpikeScaleBox->setValue(m_Parameters.m_SignalGen.m_SpikeAmplitude); m_Controls->m_EddyGradientStrength->setValue(m_Parameters.m_SignalGen.m_EddyStrength); m_Controls->m_AddGibbsRinging->setChecked(m_Parameters.m_SignalGen.m_DoAddGibbsRinging); m_Controls->m_ZeroRinging->setValue(m_Parameters.m_SignalGen.m_ZeroRinging); m_Controls->m_AddMotion->setChecked(m_Parameters.m_SignalGen.m_DoAddMotion); m_Controls->m_RandomMotion->setChecked(m_Parameters.m_SignalGen.m_DoRandomizeMotion); m_Controls->m_MotionVolumesBox->setText(QString(m_Parameters.m_Misc.m_MotionVolumesBox.c_str())); m_Controls->m_MaxTranslationBoxX->setValue(m_Parameters.m_SignalGen.m_Translation[0]); m_Controls->m_MaxTranslationBoxY->setValue(m_Parameters.m_SignalGen.m_Translation[1]); m_Controls->m_MaxTranslationBoxZ->setValue(m_Parameters.m_SignalGen.m_Translation[2]); m_Controls->m_MaxRotationBoxX->setValue(m_Parameters.m_SignalGen.m_Rotation[0]); m_Controls->m_MaxRotationBoxY->setValue(m_Parameters.m_SignalGen.m_Rotation[1]); m_Controls->m_MaxRotationBoxZ->setValue(m_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 ( m_Parameters.m_SignalGen.m_MaskImage ) { mitk::Image::Pointer image = mitk::Image::New(); image->InitializeByItk(m_Parameters.m_SignalGen.m_MaskImage.GetPointer()); image->SetVolume(m_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 ( m_Parameters.m_SignalGen.m_FrequencyMap ) { mitk::Image::Pointer image = mitk::Image::New(); image->InitializeByItk(m_Parameters.m_SignalGen.m_FrequencyMap.GetPointer()); image->SetVolume(m_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_AdvancedSignalOptionsFrame->setVisible(true); m_Controls->m_AdvancedOptionsBox_2->setChecked(true); } else { m_Controls->m_AdvancedSignalOptionsFrame->setVisible(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::OnAddMotion(int value) { if (value>0) m_Controls->m_MotionArtifactFrame->setVisible(true); else m_Controls->m_MotionArtifactFrame->setVisible(false); } void QmitkFiberfoxView::OnAddDrift(int value) { if (value>0) m_Controls->m_DriftFrame->setVisible(true); else m_Controls->m_DriftFrame->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::OnAddRinging(int value) { if (value>0) m_Controls->m_ZeroRinging->setVisible(true); else m_Controls->m_ZeroRinging->setVisible(false); } 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*itk::Math::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::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::Point3D origin; origin[0] = m_Controls->m_SpacingX->value()/2; origin[1] = m_Controls->m_SpacingY->value()/2; origin[2] = m_Controls->m_SpacingZ->value()/2; image->SetOrigin(origin); mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData( image ); node->SetName("Dummy"); 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 view 'Fiber Generator')."); } 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::SetFocus() { } void QmitkFiberfoxView::SimulateForExistingDwi(mitk::DataNode* imageNode) { bool isDiffusionImage( mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( dynamic_cast(imageNode->GetData())) ); if ( !isDiffusionImage ) { return; } UpdateParametersFromGui(); mitk::Image::Pointer diffImg = dynamic_cast(imageNode->GetData()); ItkDwiType::Pointer itkVectorImagePointer = ItkDwiType::New(); mitk::CastToItkImage(diffImg, itkVectorImagePointer); m_TractsToDwiFilter = itk::TractsToDWIImageFilter< short >::New(); m_Parameters.m_Misc.m_ParentNode = imageNode; m_Parameters.m_SignalGen.m_SignalScale = 1; m_Parameters.m_Misc.m_ResultNode->SetName("b"+QString::number(m_Parameters.m_SignalGen.GetBvalue()).toStdString() +"_"+m_Parameters.m_Misc.m_SignalModelString +m_Parameters.m_Misc.m_ArtifactModelString); m_Parameters.ApplyDirectionMatrix(); m_TractsToDwiFilter->SetParameters(m_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; } UpdateParametersFromGui(); m_TractsToDwiFilter = itk::TractsToDWIImageFilter< short >::New(); m_Parameters.m_Misc.m_ParentNode = fiberNode; m_Parameters.m_Misc.m_ResultNode->SetName("b"+QString::number(m_Parameters.m_SignalGen.GetBvalue()).toStdString() +"_"+m_Parameters.m_Misc.m_SignalModelString +m_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* >(m_Parameters.m_FiberModelList.at(i)); else model = dynamic_cast< mitk::RawShModel<>* >(m_Parameters.m_NonFiberModelList.at(i-m_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(mitk::DiffusionPropertyHelper::GetReferenceBValue(diffImg)); filter->SetGradientImage(mitk::DiffusionPropertyHelper::GetGradientContainer(diffImg), itkVectorImagePointer ); filter->Update(); tensorImage = filter->GetOutput(); QballFilterType::Pointer qballfilter = QballFilterType::New(); qballfilter->SetGradientImage(mitk::DiffusionPropertyHelper::GetGradientContainer(diffImg), itkVectorImagePointer ); qballfilter->SetBValue(mitk::DiffusionPropertyHelper::GetReferenceBValue(diffImg)); 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(mitk::DiffusionPropertyHelper::GetGradientContainer(diffImg)); adcFilter->SetB_value(mitk::DiffusionPropertyHelper::GetReferenceBValue(diffImg)); adcFilter->Update(); adcImage = adcFilter->GetOutput(); } ok = model->SampleKernels(diffImg, m_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_Parameters.ApplyDirectionMatrix(); m_TractsToDwiFilter->SetParameters(m_Parameters); m_TractsToDwiFilter->SetFiberBundle(fiberBundle); m_Thread.start(QThread::LowestPriority); } void QmitkFiberfoxView::SetBvalsEdit() { // SELECT FOLDER DIALOG std::string filename; filename = QFileDialog::getOpenFileName(nullptr, "Select bvals file", QString(filename.c_str())).toStdString(); if (filename.empty()) m_Controls->m_LoadBvalsEdit->setText("-"); else m_Controls->m_LoadBvalsEdit->setText(QString(filename.c_str())); } void QmitkFiberfoxView::SetBvecsEdit() { // SELECT FOLDER DIALOG std::string filename; filename = QFileDialog::getOpenFileName(nullptr, "Select bvecs file", QString(filename.c_str())).toStdString(); if (filename.empty()) m_Controls->m_LoadBvecsEdit->setText("-"); else m_Controls->m_LoadBvecsEdit->setText(QString(filename.c_str())); } void QmitkFiberfoxView::SetOutputPath() { // SELECT FOLDER DIALOG std::string outputPath; 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())); } } void QmitkFiberfoxView::UpdateGui() { + OnTlineChanged(); m_Controls->m_GeometryFrame->setEnabled(true); m_Controls->m_GeometryMessage->setVisible(false); m_Controls->m_DiffusionPropsMessage->setVisible(false); m_Controls->m_LoadGradientsFrame->setVisible(false); m_Controls->m_GenerateGradientsFrame->setVisible(false); if (m_Controls->m_UseBvalsBvecsBox->isChecked()) m_Controls->m_LoadGradientsFrame->setVisible(true); else m_Controls->m_GenerateGradientsFrame->setVisible(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_GeometryMessage->setVisible(true); m_Controls->m_GeometryFrame->setEnabled(false); m_Controls->m_LoadGradientsFrame->setVisible(false); m_Controls->m_GenerateGradientsFrame->setVisible(false); } } diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/internal/QmitkFiberfoxView.h b/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/internal/QmitkFiberfoxView.h index 092bd66e4f..21345843cd 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/internal/QmitkFiberfoxView.h +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/internal/QmitkFiberfoxView.h @@ -1,172 +1,173 @@ /*=================================================================== 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 "ui_QmitkFiberfoxViewControls.h" #include #include #include #ifndef Q_MOC_RUN #include #include #include #include #include #include #include #include #include #include #include #include #include #include #endif #include #include #include #include /*! \brief View for fiber based diffusion software phantoms (Fiberfox). See "Fiberfox: Facilitating the creation of realistic white matter software phantoms" (DOI: 10.1002/mrm.25045) for details. */ // Forward Qt class declarations class QmitkFiberfoxView; class QmitkFiberfoxWorker : public QObject { Q_OBJECT public: QmitkFiberfoxWorker(QmitkFiberfoxView* view); public slots: void run(); private: QmitkFiberfoxView* m_View; }; class QmitkFiberfoxView : public QmitkAbstractView { // this is needed for all Qt objects that should have a Qt meta-object // (everything that derives from QObject and wants to have signal/slots) Q_OBJECT public: static const std::string VIEW_ID; QmitkFiberfoxView(); virtual ~QmitkFiberfoxView(); virtual void CreateQtPartControl(QWidget *parent) override; void SetFocus() override; typedef mitk::DiffusionPropertyHelper::GradientDirectionType GradientDirectionType; typedef mitk::DiffusionPropertyHelper::GradientDirectionsContainerType GradientDirectionContainerType; typedef itk::Vector GradientType; typedef std::vector GradientListType; typedef itk::VectorImage< short, 3 > ItkDwiType; typedef itk::Image ItkDoubleImgType; typedef itk::Image ItkFloatImgType; typedef itk::Image ItkUcharImgType; template std::vector > MakeGradientList(); protected slots: void SetOutputPath(); ///< path where image is automatically saved to after the simulation is finished void LoadParameters(); ///< load fiberfox parameters void SaveParameters(); ///< save fiberfox parameters void SetBvalsEdit(); void SetBvecsEdit(); void BeforeThread(); void AfterThread(); void KillThread(); ///< abort simulation void UpdateSimulationStatus(); ///< print simulation progress and satus messages void GenerateImage(); ///< start image simulation void Comp1ModelFrameVisibility(int index); ///< only show parameters of selected signal model for compartment 1 void Comp2ModelFrameVisibility(int index); ///< only show parameters of selected signal model for compartment 2 void Comp3ModelFrameVisibility(int index); ///< only show parameters of selected signal model for compartment 3 void Comp4ModelFrameVisibility(int index); ///< only show parameters of selected signal model for compartment 4 void ShowAdvancedOptions(int state); /** update GUI elements */ void OnAddNoise(int value); void OnAddGhosts(int value); void OnAddDistortions(int value); void OnAddEddy(int value); void OnAddSpikes(int value); void OnAddAliasing(int value); void OnAddMotion(int value); void OnAddDrift(int value); void OnAddRinging(int value); void OnMaskSelected(int value); void OnFibSelected(int value); void OnTemplateSelected(int value); void OnBvalsBvecsCheck(int value); + void OnTlineChanged(); protected: GradientListType GenerateHalfShell(int NPoints); ///< generate vectors distributed over the halfsphere Ui::QmitkFiberfoxViewControls* m_Controls; void SimulateForExistingDwi(mitk::DataNode* imageNode); ///< add artifacts to existing diffusion weighted image void SimulateImageFromFibers(mitk::DataNode* fiberNode); ///< simulate new diffusion weighted image void UpdateParametersFromGui(); ///< update fiberfox paramater object void UpdateGui(); ///< enable/disbale buttons etc. according to current datamanager selection void PlanarFigureSelected( itk::Object* object, const itk::EventObject& ); void EnableCrosshairNavigation(); ///< enable crosshair navigation if planar figure interaction ends void DisableCrosshairNavigation(); ///< disable crosshair navigation if planar figure interaction starts void SaveParameters(QString filename); mitk::DataNode::Pointer m_SelectedImageNode; QString m_ParameterFile; ///< parameter file name // GUI thread QmitkFiberfoxWorker m_Worker; ///< runs filter QThread m_Thread; ///< worker thread bool m_ThreadIsRunning; QTimer* m_SimulationTimer; QTime m_SimulationTime; QString m_SimulationStatusText; /** Image filters that do all the simulations. */ itk::TractsToDWIImageFilter< short >::Pointer m_TractsToDwiFilter; friend class QmitkFiberfoxWorker; FiberfoxParameters m_Parameters; }; diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/internal/QmitkFiberfoxViewControls.ui b/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/internal/QmitkFiberfoxViewControls.ui index 66c69c91fc..21bffa95fa 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/internal/QmitkFiberfoxViewControls.ui +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/internal/QmitkFiberfoxViewControls.ui @@ -1,2888 +1,2891 @@ QmitkFiberfoxViewControls 0 0 490 2775 Form QGroupBox { background-color: transparent; } Intra-axonal Compartment 6 6 6 6 Select signal model for intra-axonal compartment. Stick Model Zeppelin Model Tensor Model Prototype Signal QFrame::NoFrame QFrame::Raised 0 0 0 0 Volume Fraction: Optional! If no volume fraction map for this compartment is set, the corresponding volume fractions are calculated from the input fibers. QGroupBox { background-color: transparent; } Inter-axonal Compartment 6 6 6 6 Select signal model for intra-axonal compartment. -- Stick Model Zeppelin Model Tensor Model QFrame::NoFrame QFrame::Raised 0 0 0 0 Volume Fraction: Optional! If no volume fraction map for this compartment is set, the corresponding volume fractions are calculated from the input fibers. QGroupBox { background-color: transparent; } Image Settings 6 6 6 6 color: rgb(255, 0, 0); Using geometry of selected image! QFrame::NoFrame QFrame::Raised 0 0 0 0 6 Inversion time (in ms) for inversion recovery sequences. If 0, no inversion pulse is simulated. 0 999999999 1 0 <html><head/><body><p><span style=" font-style:italic;">T</span><span style=" font-style:italic; vertical-align:sub;">inhom</span> Relaxation: </p></body></html> false Relaxation time due to magnetic field inhomogeneities (T2', in milliseconds). 1 10000 1 50 <html><head/><body><p>Repetition Time <span style=" font-style:italic;">TR</span>: </p></body></html> false TE in milliseconds 1 999999999 1 100 Partial Fourier: false Partial fourier factor (0.5-1) 3 0.500000000000000 1.000000000000000 0.100000000000000 1.000000000000000 Output one image per compartment containing the corresponding volume fractions per voxel. Reverse Phase Encoding Direction false Dwell time (time to read one line in k-space) in ms. + + 4 + 100.000000000000000 0.100000000000000 - 1.000000000000000 + 0.020000000000000 Number of coil elements used for the acquisiton. 1 128 1 1 Fiber radius used to calculate volume fractions (in µm). Set to 0 for automatic radius estimation. 9999.000000000000000 Dwell Time: false Disable partial volume. Treat voxel content as fiber-only if at least one fiber is present. Disable Partial Volume Effects false Acquisition Type: Fiber Radius: Signal Scale: <html><head/><body><p>Number of Channels:</p></body></html> false TR in milliseconds 1 999999999 1 4000 Single Shot EPI Conventional Spin Echo Fast Spin Echo - TE in milliseconds + 1 - 10000 + 100000 1 100 Constant Linear Exponential <html><head/><body><p><span style=" font-style:italic;">TE</span>, <span style=" font-style:italic;">T</span><span style=" font-style:italic; vertical-align:sub;">inhom</span> and <span style=" font-style:italic;">T2</span> will have no effect if unchecked.</p></body></html> Simulate Signal Relaxation true <html><head/><body><p>Echo Time <span style=" font-style:italic;">TE</span>: </p></body></html> false <html><head/><body><p>Coil Sensitivity:</p></body></html> false <html><head/><body><p>Inversion Time <span style=" font-style:italic;">TI</span>: </p></body></html> false Output phase image and volume fraction maps. Output Additional Images false <html><head/><body><p>Echo Train Length: </p></body></html> false Only relevant for Fast Spin Echo sequence (number of k-space lines acquired with one RF pulse) 1 999999999 1 8 QFrame::NoFrame QFrame::Raised 0 0 0 0 6 <html><head/><body><p>b-Value<span style=" font-style:italic;"> [s/mm</span><span style=" font-style:italic; vertical-align:super;">2</span><span style=" font-style:italic;">]</span>:</p></body></html> false b-value in s/mm² 0 10000 100 1000 Gradient Directions: Number of gradient directions distributed over the half sphere. 0 10000 1 30 Advanced Options color: rgb(255, 0, 0); Using gradients of selected DWI! QFrame::NoFrame QFrame::Raised 0 0 0 0 3 0.100000000000000 50.000000000000000 0.100000000000000 2.000000000000000 Image Spacing: 3 0.100000000000000 50.000000000000000 0.100000000000000 2.000000000000000 3 0.100000000000000 50.000000000000000 0.100000000000000 2.000000000000000 Image Dimensions: Fiber sampling factor which determines the accuracy of the calculated fiber and non-fiber volume fractions. 1 1000 1 20 Fiber sampling factor which determines the accuracy of the calculated fiber and non-fiber volume fractions. 1 1000 1 20 Fiber sampling factor which determines the accuracy of the calculated fiber and non-fiber volume fractions. 1 1000 1 3 Use bvals/bvecs files QFrame::NoFrame QFrame::Raised 0 0 0 0 ... ... - false Bvecs: false Bvals: false - false QGroupBox { background-color: transparent; } Extra-axonal Compartments 6 6 6 6 QFrame::NoFrame QFrame::Raised 0 0 0 0 Volume Fraction: Select signal model for extra-axonal compartment. Ball Model Astrosticks Model Dot Model Prototype Signal Qt::Horizontal QFrame::NoFrame QFrame::Raised 0 0 0 0 Volume Fraction: Optional! If no volume fraction map for this compartment is set, the corresponding volume fractions are calculated from the input fibers. Select signal model for extra-axonal compartment. -- Ball Model Astrosticks Model Dot Model Prototype Signal QGroupBox { background-color: transparent; } Noise and other Artifacts 6 6 6 6 Qt::Horizontal true QFrame::NoFrame QFrame::Raised 0 6 0 0 6 Toggle between random movement and linear movement. Randomize motion true QGroupBox { background-color: transparent; } Rotation 6 9 6 6 Degree: false x false Axis: false Maximum rotation around x-axis. 1 -360.000000000000000 360.000000000000000 1.000000000000000 0.000000000000000 Maximum rotation around z-axis. 1 -360.000000000000000 360.000000000000000 1.000000000000000 15.000000000000000 y false z false Maximum rotation around y-axis. 1 -360.000000000000000 360.000000000000000 1.000000000000000 0.000000000000000 QGroupBox { background-color: transparent; } Translation 6 6 6 Distance: false x false y false Axis: false z false Maximum translation along x-axis. 1 -1000.000000000000000 1000.000000000000000 1.000000000000000 0.000000000000000 Maximum translation along y-axis. 1 -1000.000000000000000 1000.000000000000000 1.000000000000000 0.000000000000000 Maximum translation along z-axis. 1 -1000.000000000000000 1000.000000000000000 1.000000000000000 0.000000000000000 QFrame::NoFrame QFrame::Raised 0 0 0 0 Motion volumes: Type in the volume indices that should be affected by motion (e.g. "0 3 7" whithout quotation marks). Leave blank for motion in all volumes. Type in "random" to randomly select volumes for motion. A list of negative numbers (e.g. -1 -2 -3) excludes volumes (e.g. 1 2 3) selects all remaining volumes. random QFrame::NoFrame QFrame::Raised 0 0 0 0 Num. Spikes: The number of randomly occurring signal spikes. 1 Spike amplitude relative to the largest signal amplitude of the corresponding k-space slice. 0.100000000000000 0.100000000000000 Scale: true QFrame::NoFrame QFrame::Raised 6 0 0 0 0 Shrink FOV (%): false Shrink FOV by this percentage. 1 0.000000000000000 90.000000000000000 0.100000000000000 - 25.000000000000000 + 40.000000000000000 Qt::Horizontal true QFrame::NoFrame QFrame::Raised 6 0 0 0 0 Signal Reduction (%): false Global signal in last simulated volume is specified percentage lower than in the first volume. 1 100.000000000000000 1.000000000000000 6.000000000000000 true QFrame::NoFrame QFrame::Raised 6 0 0 0 0 Frequency Map: false Select image specifying the frequency inhomogeneities (in Hz). true QFrame::NoFrame QFrame::Raised QFormLayout::AllNonFixedFieldsGrow 6 0 0 0 0 Gradient: false Eddy current induced magnetic field gradient (in mT/m). - 4 + 5 1000.000000000000000 0.001000000000000 - 0.010000000000000 + 0.002000000000000 Qt::Horizontal Add Eddy Current Effects false Add Distortions false Add Spikes false Add Signal Drift false QFrame::NoFrame QFrame::Raised 0 0 0 0 Variance: Variance of selected noise distribution. 10 0.000000000000000 999999999.000000000000000 0.001000000000000 50.000000000000000 Distribution: Noise distribution Complex Gaussian Rician Qt::Horizontal Qt::Horizontal true QFrame::NoFrame QFrame::Raised 6 0 0 0 0 K-Space Line Offset: false A larger offset increases the inensity of the ghost image. 3 1.000000000000000 0.010000000000000 0.250000000000000 Add Motion Artifacts false Add N/2 Ghosts false Qt::Horizontal Add ringing artifacts occuring at strong edges in the image. Add Gibbs Ringing false Qt::Horizontal Add Noise false Qt::Horizontal Add Aliasing false If > 0, ringing is simulated by by setting the defined percentage of higher frequencies to 0 in k-space. Otherwise, the input to the k-space simulation is generated with twice the resolution and cropped during k-space simulation (much slower). 100 10 Qt::Vertical 20 40 QFrame::NoFrame QFrame::Raised 0 0 0 0 true <html><head/><body><p>Start DWI generation from selected fiber bundle.</p><p>If no fiber bundle but an existing diffusion weighted image is selected, the enabled artifacts are added to this image.</p><p>If neither a fiber bundle nor a diffusion weighted image is selected, a grayscale image containing a simple gradient is generated.</p></body></html> Save Parameters :/QmitkDiffusionImaging/general_icons/download.ico:/QmitkDiffusionImaging/general_icons/download.ico true <html><head/><body><p>Start DWI generation from selected fiber bundle.</p><p>If no fiber bundle but an existing diffusion weighted image is selected, the enabled artifacts are added to this image.</p><p>If neither a fiber bundle nor a diffusion weighted image is selected, a grayscale image containing a simple gradient is generated.</p></body></html> Load Parameters :/QmitkDiffusionImaging/general_icons/upload.ico:/QmitkDiffusionImaging/general_icons/upload.ico QFrame::NoFrame QFrame::Raised 0 0 0 0 true <html><head/><body><p>Start DWI generation from selected fiber bundle.</p><p>If no fiber bundle but an existing diffusion weighted image is selected, the enabled artifacts are added to this image.</p><p>If neither a fiber bundle nor a diffusion weighted image is selected, a grayscale image containing a simple gradient is generated.</p></body></html> Start Simulation :/QmitkDiffusionImaging/general_icons/right.ico:/QmitkDiffusionImaging/general_icons/right.ico QGroupBox { background-color: transparent; } Input Data 6 6 6 6 QFrame::NoFrame QFrame::Raised 0 0 0 0 0 - ... <html><head/><body><p>Select a binary image to define the area of signal generation. Outside of the mask image only noise will be actively generated.</p></body></html> QComboBox::AdjustToMinimumContentsLength Fiber Bundle: false Save path: false Tissue Mask: false <html><head/><body><p>Select a fiber bundle to generate the white matter signal from. You can either use the fiber definition tab to manually define an input fiber bundle or you can also use any existing bundle, e.g. yielded by a tractography algorithm.</p></body></html> QComboBox::AdjustToMinimumContentsLength Template Image: false <html><head/><body><p>The parameters for the simulation (e.g. spacing, size, diffuison-weighted gradients, b-value) are adopted from this image.</p></body></html> QComboBox::AdjustToMinimumContentsLength true Stop current simulation. Abort Simulation :/QmitkDiffusionImaging/general_icons/abort.ico:/QmitkDiffusionImaging/general_icons/abort.ico Courier 7 true QmitkDataStorageComboBox QComboBox
QmitkDataStorageComboBox.h
 QmitkDataStorageComboBoxWithSelectNone QComboBox
QmitkDataStorageComboBoxWithSelectNone.h
 QmitkTensorModelParametersWidget QWidget
QmitkTensorModelParametersWidget.h
1 QmitkStickModelParametersWidget QWidget
QmitkStickModelParametersWidget.h
1 QmitkZeppelinModelParametersWidget QWidget
QmitkZeppelinModelParametersWidget.h
1 QmitkBallModelParametersWidget QWidget
QmitkBallModelParametersWidget.h
1 QmitkAstrosticksModelParametersWidget QWidget
QmitkAstrosticksModelParametersWidget.h
1 QmitkDotModelParametersWidget QWidget
QmitkDotModelParametersWidget.h
1 QmitkPrototypeSignalParametersWidget QWidget
QmitkPrototypeSignalParametersWidget.h
1 m_FiberBundleComboBox m_MaskComboBox m_TemplateComboBox m_SavePathEdit m_OutputPathButton m_GenerateImageButton m_AbortSimulationButton m_SimulationStatusText m_LoadParametersButton m_SaveParametersButton m_SizeX m_SizeY m_SizeZ m_SpacingX m_SpacingY m_SpacingZ m_UseBvalsBvecsBox m_LoadBvalsEdit m_LoadBvalsButton m_LoadBvecsEdit m_LoadBvecsButton m_NumGradientsBox m_BvalueBox m_AdvancedOptionsBox_2 m_AcquisitionTypeBox m_SignalScaleBox m_NumCoilsBox m_CoilSensBox m_TEbox m_TRbox m_TIbox m_LineReadoutTimeBox m_PartialFourier m_T2starBox m_FiberRadius m_ReversePhaseBox m_RelaxationBox m_EnforcePureFiberVoxelsBox m_VolumeFractionsBox m_Compartment1Box m_Comp1VolumeFraction m_Compartment2Box m_Comp2VolumeFraction m_Compartment3Box m_Comp3VolumeFraction m_Compartment4Box m_Comp4VolumeFraction m_AddNoise m_NoiseDistributionBox m_NoiseLevel m_AddSpikes m_SpikeNumBox m_SpikeScaleBox m_AddGhosts m_kOffsetBox m_AddAliasing m_WrapBox m_AddDistortions m_FrequencyMapBox m_AddDrift m_DriftFactor m_AddMotion m_RandomMotion m_MotionVolumesBox m_MaxRotationBoxX m_MaxRotationBoxY m_MaxRotationBoxZ m_MaxTranslationBoxX m_MaxTranslationBoxY m_MaxTranslationBoxZ m_AddEddy m_EddyGradientStrength m_AddGibbsRinging m_ZeroRinging