diff --git a/Modules/DiffusionImaging/Quantification/cmdapps/QballReconstruction.cpp b/Modules/DiffusionImaging/Quantification/cmdapps/QballReconstruction.cpp index 91b1817ce3..22ffb67b83 100644 --- a/Modules/DiffusionImaging/Quantification/cmdapps/QballReconstruction.cpp +++ b/Modules/DiffusionImaging/Quantification/cmdapps/QballReconstruction.cpp @@ -1,266 +1,266 @@ /*=================================================================== 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 <mitkCoreObjectFactory.h> #include "mitkImage.h" #include "itkAnalyticalDiffusionQballReconstructionImageFilter.h" #include <boost/lexical_cast.hpp> #include "mitkCommandLineParser.h" #include <mitkIOUtil.h> #include <itksys/SystemTools.hxx> #include <mitkDiffusionPropertyHelper.h> #include <mitkITKImageImport.h> #include <mitkImageCast.h> #include <mitkProperties.h> #include <mitkIOUtil.h> #include <mitkPreferenceListReaderOptionsFunctor.h> using namespace mitk; using namespace std; /** * Perform Q-ball reconstruction using a spherical harmonics basis */ int main(int argc, char* argv[]) { mitkCommandLineParser parser; parser.setArgumentPrefix("--", "-"); parser.addArgument("input", "i", mitkCommandLineParser::InputFile, "Input file", "input raw dwi (.dwi or .nii/.nii.gz)", us::Any(), false); parser.addArgument("outFile", "o", mitkCommandLineParser::OutputFile, "Output file", "output file", us::Any(), false); parser.addArgument("shOrder", "sh", mitkCommandLineParser::Int, "Spherical harmonics order", "spherical harmonics order", 4, true); parser.addArgument("b0Threshold", "t", mitkCommandLineParser::Int, "b0 threshold", "baseline image intensity threshold", 0, true); parser.addArgument("lambda", "r", mitkCommandLineParser::Float, "Lambda", "ragularization factor lambda", 0.006, true); parser.addArgument("csa", "csa", mitkCommandLineParser::Bool, "Constant solid angle consideration", "use constant solid angle consideration"); parser.addArgument("outputCoeffs", "shc", mitkCommandLineParser::Bool, "Output coefficients", "output file containing the SH coefficients"); parser.addArgument("mrtrix", "mb", mitkCommandLineParser::Bool, "MRtrix", "use MRtrix compatible spherical harmonics definition"); parser.setCategory("Signal Modelling"); parser.setTitle("Qball Reconstruction"); parser.setDescription(""); parser.setContributor("MIC"); map<string, us::Any> parsedArgs = parser.parseArguments(argc, argv); if (parsedArgs.size()==0) return EXIT_FAILURE; std::string inFileName = us::any_cast<string>(parsedArgs["input"]); std::string outfilename = us::any_cast<string>(parsedArgs["outFile"]); outfilename = itksys::SystemTools::GetFilenamePath(outfilename)+"/"+itksys::SystemTools::GetFilenameWithoutExtension(outfilename); int threshold = 0; if (parsedArgs.count("b0Threshold")) threshold = us::any_cast<int>(parsedArgs["b0Threshold"]); int shOrder = 4; if (parsedArgs.count("shOrder")) shOrder = us::any_cast<int>(parsedArgs["shOrder"]); float lambda = 0.006; if (parsedArgs.count("lambda")) lambda = us::any_cast<float>(parsedArgs["lambda"]); int normalization = 0; if (parsedArgs.count("csa") && us::any_cast<bool>(parsedArgs["csa"])) normalization = 6; bool outCoeffs = false; if (parsedArgs.count("outputCoeffs")) outCoeffs = us::any_cast<bool>(parsedArgs["outputCoeffs"]); bool mrTrix = false; if (parsedArgs.count("mrtrix")) mrTrix = us::any_cast<bool>(parsedArgs["mrtrix"]); try { mitk::PreferenceListReaderOptionsFunctor functor = mitk::PreferenceListReaderOptionsFunctor({"Diffusion Weighted Images"}, {}); - mitk::BaseData::Pointer infile = mitk::IOUtil::Load(inFileName, &functor); + std::vector< mitk::BaseData::Pointer > infile = mitk::IOUtil::Load(inFileName, &functor); Image::Pointer dwi = dynamic_cast<Image*>(infile.at(0).GetPointer()); mitk::DiffusionPropertyHelper propertyHelper(dwi); propertyHelper.AverageRedundantGradients(0.001); propertyHelper.InitializeImage(); mitk::OdfImage::Pointer image = mitk::OdfImage::New(); mitk::Image::Pointer coeffsImage = mitk::Image::New(); std::cout << "SH order: " << shOrder; std::cout << "lambda: " << lambda; std::cout << "B0 threshold: " << threshold; switch ( shOrder ) { case 4: { typedef itk::AnalyticalDiffusionQballReconstructionImageFilter<short,short,float,4,ODF_SAMPLING_SIZE> FilterType; mitk::DiffusionPropertyHelper::ImageType::Pointer itkVectorImagePointer = mitk::DiffusionPropertyHelper::ImageType::New(); mitk::CastToItkImage(dwi, itkVectorImagePointer); FilterType::Pointer filter = FilterType::New(); filter->SetBValue(mitk::DiffusionPropertyHelper::GetReferenceBValue(dwi)); filter->SetGradientImage( mitk::DiffusionPropertyHelper::GetGradientContainer(dwi), itkVectorImagePointer ); filter->SetThreshold( threshold ); filter->SetLambda(lambda); filter->SetUseMrtrixBasis(mrTrix); if (normalization==0) filter->SetNormalizationMethod(FilterType::QBAR_STANDARD); else filter->SetNormalizationMethod(FilterType::QBAR_SOLID_ANGLE); filter->Update(); image->InitializeByItk( filter->GetOutput() ); image->SetVolume( filter->GetOutput()->GetBufferPointer() ); coeffsImage->InitializeByItk( filter->GetCoefficientImage().GetPointer() ); coeffsImage->SetVolume( filter->GetCoefficientImage()->GetBufferPointer() ); break; } case 6: { typedef itk::AnalyticalDiffusionQballReconstructionImageFilter<short,short,float,6,ODF_SAMPLING_SIZE> FilterType; mitk::DiffusionPropertyHelper::ImageType::Pointer itkVectorImagePointer = mitk::DiffusionPropertyHelper::ImageType::New(); mitk::CastToItkImage(dwi, itkVectorImagePointer); FilterType::Pointer filter = FilterType::New(); filter->SetBValue(mitk::DiffusionPropertyHelper::GetReferenceBValue(dwi)); filter->SetGradientImage( mitk::DiffusionPropertyHelper::GetGradientContainer(dwi), itkVectorImagePointer ); filter->SetThreshold( threshold ); filter->SetLambda(lambda); filter->SetUseMrtrixBasis(mrTrix); if (normalization==0) filter->SetNormalizationMethod(FilterType::QBAR_STANDARD); else filter->SetNormalizationMethod(FilterType::QBAR_SOLID_ANGLE); filter->Update(); image->InitializeByItk( filter->GetOutput() ); image->SetVolume( filter->GetOutput()->GetBufferPointer() ); coeffsImage->InitializeByItk( filter->GetCoefficientImage().GetPointer() ); coeffsImage->SetVolume( filter->GetCoefficientImage()->GetBufferPointer() ); break; } case 8: { typedef itk::AnalyticalDiffusionQballReconstructionImageFilter<short,short,float,8,ODF_SAMPLING_SIZE> FilterType; mitk::DiffusionPropertyHelper::ImageType::Pointer itkVectorImagePointer = mitk::DiffusionPropertyHelper::ImageType::New(); mitk::CastToItkImage(dwi, itkVectorImagePointer); FilterType::Pointer filter = FilterType::New(); filter->SetBValue(mitk::DiffusionPropertyHelper::GetReferenceBValue(dwi)); filter->SetGradientImage( mitk::DiffusionPropertyHelper::GetGradientContainer(dwi), itkVectorImagePointer ); filter->SetThreshold( threshold ); filter->SetLambda(lambda); filter->SetUseMrtrixBasis(mrTrix); if (normalization==0) filter->SetNormalizationMethod(FilterType::QBAR_STANDARD); else filter->SetNormalizationMethod(FilterType::QBAR_SOLID_ANGLE); filter->Update(); image->InitializeByItk( filter->GetOutput() ); image->SetVolume( filter->GetOutput()->GetBufferPointer() ); coeffsImage->InitializeByItk( filter->GetCoefficientImage().GetPointer() ); coeffsImage->SetVolume( filter->GetCoefficientImage()->GetBufferPointer() ); break; } case 10: { typedef itk::AnalyticalDiffusionQballReconstructionImageFilter<short,short,float,10,ODF_SAMPLING_SIZE> FilterType; mitk::DiffusionPropertyHelper::ImageType::Pointer itkVectorImagePointer = mitk::DiffusionPropertyHelper::ImageType::New(); mitk::CastToItkImage(dwi, itkVectorImagePointer); FilterType::Pointer filter = FilterType::New(); filter->SetBValue(mitk::DiffusionPropertyHelper::GetReferenceBValue(dwi)); filter->SetGradientImage( mitk::DiffusionPropertyHelper::GetGradientContainer(dwi), itkVectorImagePointer ); filter->SetThreshold( threshold ); filter->SetLambda(lambda); filter->SetUseMrtrixBasis(mrTrix); if (normalization==0) filter->SetNormalizationMethod(FilterType::QBAR_STANDARD); else filter->SetNormalizationMethod(FilterType::QBAR_SOLID_ANGLE); filter->Update(); image->InitializeByItk( filter->GetOutput() ); image->SetVolume( filter->GetOutput()->GetBufferPointer() ); coeffsImage->InitializeByItk( filter->GetCoefficientImage().GetPointer() ); coeffsImage->SetVolume( filter->GetCoefficientImage()->GetBufferPointer() ); break; } case 12: { typedef itk::AnalyticalDiffusionQballReconstructionImageFilter<short,short,float,12,ODF_SAMPLING_SIZE> FilterType; mitk::DiffusionPropertyHelper::ImageType::Pointer itkVectorImagePointer = mitk::DiffusionPropertyHelper::ImageType::New(); mitk::CastToItkImage(dwi, itkVectorImagePointer); FilterType::Pointer filter = FilterType::New(); filter->SetBValue(mitk::DiffusionPropertyHelper::GetReferenceBValue(dwi)); filter->SetGradientImage( mitk::DiffusionPropertyHelper::GetGradientContainer(dwi), itkVectorImagePointer ); filter->SetThreshold( threshold ); filter->SetLambda(lambda); if (normalization==0) filter->SetNormalizationMethod(FilterType::QBAR_STANDARD); else filter->SetNormalizationMethod(FilterType::QBAR_SOLID_ANGLE); filter->Update(); image->InitializeByItk( filter->GetOutput() ); image->SetVolume( filter->GetOutput()->GetBufferPointer() ); coeffsImage->InitializeByItk( filter->GetCoefficientImage().GetPointer() ); coeffsImage->SetVolume( filter->GetCoefficientImage()->GetBufferPointer() ); break; } default: { std::cout << "Supplied SH order not supported. Using default order of 4."; typedef itk::AnalyticalDiffusionQballReconstructionImageFilter<short,short,float,4,ODF_SAMPLING_SIZE> FilterType; mitk::DiffusionPropertyHelper::ImageType::Pointer itkVectorImagePointer = mitk::DiffusionPropertyHelper::ImageType::New(); mitk::CastToItkImage(dwi, itkVectorImagePointer); FilterType::Pointer filter = FilterType::New(); filter->SetBValue(mitk::DiffusionPropertyHelper::GetReferenceBValue(dwi)); filter->SetGradientImage( mitk::DiffusionPropertyHelper::GetGradientContainer(dwi), itkVectorImagePointer ); filter->SetThreshold( threshold ); filter->SetLambda(lambda); filter->SetUseMrtrixBasis(mrTrix); if (normalization==0) filter->SetNormalizationMethod(FilterType::QBAR_STANDARD); else filter->SetNormalizationMethod(FilterType::QBAR_SOLID_ANGLE); filter->Update(); image->InitializeByItk( filter->GetOutput() ); image->SetVolume( filter->GetOutput()->GetBufferPointer() ); coeffsImage->InitializeByItk( filter->GetCoefficientImage().GetPointer() ); coeffsImage->SetVolume( filter->GetCoefficientImage()->GetBufferPointer() ); } } std::string coeffout = outfilename; coeffout += "_shcoeffs.nrrd"; outfilename += ".odf"; mitk::IOUtil::Save(image, outfilename); if (outCoeffs) mitk::IOUtil::Save(coeffsImage, coeffout); } catch ( itk::ExceptionObject &err) { std::cout << "Exception: " << err; } catch ( std::exception err) { std::cout << "Exception: " << err.what(); } catch ( ... ) { std::cout << "Exception!"; } return EXIT_SUCCESS; }