diff --git a/Modules/DiffusionImaging/DiffusionCore/Algorithms/itkDwiNormilzationFilter.h b/Modules/DiffusionImaging/DiffusionCore/Algorithms/itkDwiNormilzationFilter.h new file mode 100644 index 0000000000..98283a6712 --- /dev/null +++ b/Modules/DiffusionImaging/DiffusionCore/Algorithms/itkDwiNormilzationFilter.h @@ -0,0 +1,85 @@ +/*=================================================================== + +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 __itkDwiNormilzationFilter_h_ +#define __itkDwiNormilzationFilter_h_ + +#include "itkImageToImageFilter.h" +#include "itkVectorImage.h" +#include + +namespace itk{ +/** \class DwiNormilzationFilter + * \brief Max-Normalizes the data vectors either using the global baseline maximum or the voxelwise baseline value. + */ + +template< class TInPixelType > +class DwiNormilzationFilter : + public ImageToImageFilter< VectorImage< TInPixelType, 3 >, VectorImage< TInPixelType, 3 > > +{ + +public: + + typedef DwiNormilzationFilter Self; + typedef SmartPointer Pointer; + typedef SmartPointer ConstPointer; + typedef ImageToImageFilter< VectorImage< TInPixelType, 3 >, VectorImage< TInPixelType, 3 > > Superclass; + + /** Method for creation through the object factory. */ + itkFactorylessNewMacro(Self) + itkCloneMacro(Self) + + /** Runtime information support. */ + itkTypeMacro(DwiNormilzationFilter, ImageToImageFilter) + + typedef typename Superclass::InputImageType InputImageType; + typedef typename Superclass::OutputImageType OutputImageType; + typedef typename Superclass::OutputImageRegionType OutputImageRegionType; + typedef mitk::DiffusionImage< short >::GradientDirectionType GradientDirectionType; + typedef mitk::DiffusionImage< short >::GradientDirectionContainerType::Pointer GradientContainerType; + + itkSetMacro( GradientDirections, GradientContainerType ) + itkSetMacro( NewMax, TInPixelType ) + itkSetMacro( UseGlobalMax, bool ) + + protected: + DwiNormilzationFilter(); + ~DwiNormilzationFilter() {} + void PrintSelf(std::ostream& os, Indent indent) const; + + void BeforeThreadedGenerateData(); + void ThreadedGenerateData( const OutputImageRegionType &outputRegionForThread, ThreadIdType); + + GradientContainerType m_GradientDirections; + int m_B0Index; + TInPixelType m_NewMax; + bool m_UseGlobalMax; + double m_GlobalMax; +}; + +} + +#ifndef ITK_MANUAL_INSTANTIATION +#include "itkDwiNormilzationFilter.txx" +#endif + +#endif //__itkDwiNormilzationFilter_h_ + diff --git a/Modules/DiffusionImaging/DiffusionCore/Algorithms/itkDwiNormilzationFilter.txx b/Modules/DiffusionImaging/DiffusionCore/Algorithms/itkDwiNormilzationFilter.txx new file mode 100644 index 0000000000..ad4364059e --- /dev/null +++ b/Modules/DiffusionImaging/DiffusionCore/Algorithms/itkDwiNormilzationFilter.txx @@ -0,0 +1,137 @@ +/*=================================================================== + +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 __itkDwiNormilzationFilter_txx +#define __itkDwiNormilzationFilter_txx + +#include +#include +#include + +#define _USE_MATH_DEFINES +#include + +#include "itkImageRegionConstIterator.h" +#include "itkImageRegionConstIteratorWithIndex.h" +#include "itkImageRegionIterator.h" + +namespace itk { + + +template< class TInPixelType > +DwiNormilzationFilter< TInPixelType>::DwiNormilzationFilter() + :m_B0Index(-1) + ,m_NewMax(1000) + ,m_UseGlobalMax(false) +{ + this->SetNumberOfRequiredInputs( 1 ); +} + +template< class TInPixelType > +void DwiNormilzationFilter< TInPixelType>::BeforeThreadedGenerateData() +{ + m_B0Index = -1; + typename InputImageType::Pointer inputImagePointer = static_cast< InputImageType * >( this->ProcessObject::GetInput(0) ); + + for (unsigned int i=0; iGetVectorLength(); i++) + { + GradientDirectionType g = m_GradientDirections->GetElement(i); + if (g.magnitude()<0.001) + m_B0Index = i; + } + if (m_B0Index==-1) + itkExceptionMacro(<< "DwiNormilzationFilter: No b-Zero indecies found!"); + + m_GlobalMax = 0; + if (m_UseGlobalMax) + { + typedef ImageRegionConstIterator< InputImageType > InputIteratorType; + typename InputImageType::Pointer inputImagePointer = static_cast< InputImageType * >( this->ProcessObject::GetInput(0) ); + + InputIteratorType git( inputImagePointer, inputImagePointer->GetLargestPossibleRegion() ); + git.GoToBegin(); + while( !git.IsAtEnd() ) + { + if (git.Get()[m_B0Index]>m_GlobalMax) + m_GlobalMax = git.Get()[m_B0Index]; + ++git; + } + } +} + +template< class TInPixelType > +void DwiNormilzationFilter< TInPixelType>::ThreadedGenerateData(const OutputImageRegionType& outputRegionForThread, ThreadIdType ) +{ + typename OutputImageType::Pointer outputImage = static_cast< OutputImageType * >(this->ProcessObject::GetOutput(0)); + + ImageRegionIterator< OutputImageType > oit(outputImage, outputRegionForThread); + oit.GoToBegin(); + + typedef ImageRegionConstIterator< InputImageType > InputIteratorType; + typename InputImageType::Pointer inputImagePointer = static_cast< InputImageType * >( this->ProcessObject::GetInput(0) ); + + typename OutputImageType::PixelType nullPix; + nullPix.SetSize(inputImagePointer->GetVectorLength()); + nullPix.Fill(0); + + InputIteratorType git( inputImagePointer, outputRegionForThread ); + git.GoToBegin(); + while( !git.IsAtEnd() ) + { + typename InputImageType::PixelType pix = git.Get(); + + double S0 = pix[m_B0Index]; + if (m_UseGlobalMax) + S0 = m_GlobalMax; + + if (S0>0.1) + { + for (unsigned int i=0; iGetVectorLength(); i++) + { + double val = (double)pix[i]; + + if (val!=val || val<0) + val = 0; + else + { + val /= S0; + val *= (double)m_NewMax; + } + pix[i] = (TInPixelType)val; + } + oit.Set(pix); + } + else + oit.Set(nullPix); + + ++oit; + ++git; + } + + std::cout << "One Thread finished calculation" << std::endl; +} + +template< class TInPixelType > +void +DwiNormilzationFilter< TInPixelType> +::PrintSelf(std::ostream& os, Indent indent) const +{ + Superclass::PrintSelf(os,indent); +} + +} + +#endif // __itkDwiNormilzationFilter_txx diff --git a/Modules/DiffusionImaging/DiffusionCore/files.cmake b/Modules/DiffusionImaging/DiffusionCore/files.cmake index ac90de0f2d..c7b3f04aed 100644 --- a/Modules/DiffusionImaging/DiffusionCore/files.cmake +++ b/Modules/DiffusionImaging/DiffusionCore/files.cmake @@ -1,129 +1,129 @@ set(CPP_FILES # DicomImport DicomImport/mitkDicomDiffusionImageReader.cpp # DicomImport/mitkGroupDiffusionHeadersFilter.cpp DicomImport/mitkDicomDiffusionImageHeaderReader.cpp DicomImport/mitkGEDicomDiffusionImageHeaderReader.cpp DicomImport/mitkPhilipsDicomDiffusionImageHeaderReader.cpp DicomImport/mitkSiemensDicomDiffusionImageHeaderReader.cpp DicomImport/mitkSiemensMosaicDicomDiffusionImageHeaderReader.cpp # DataStructures -> DWI IODataStructures/DiffusionWeightedImages/mitkDiffusionImageHeaderInformation.cpp IODataStructures/DiffusionWeightedImages/mitkDiffusionImageSource.cpp IODataStructures/DiffusionWeightedImages/mitkNrrdDiffusionImageWriter.cpp IODataStructures/DiffusionWeightedImages/mitkImageToDiffusionImageSource.cpp IODataStructures/DiffusionWeightedImages/mitkDiffusionImageCorrectionFilter.cpp # DataStructures -> QBall IODataStructures/QBallImages/mitkQBallImageSource.cpp IODataStructures/QBallImages/mitkQBallImage.cpp # DataStructures -> Tensor IODataStructures/TensorImages/mitkTensorImage.cpp #IODataStructures/mitkRegistrationObject.cpp # Rendering Rendering/vtkMaskedProgrammableGlyphFilter.cpp Rendering/mitkVectorImageVtkGlyphMapper3D.cpp Rendering/vtkOdfSource.cxx Rendering/vtkThickPlane.cxx Rendering/mitkOdfNormalizationMethodProperty.cpp Rendering/mitkOdfScaleByProperty.cpp # Algorithms Algorithms/mitkPartialVolumeAnalysisHistogramCalculator.cpp Algorithms/mitkPartialVolumeAnalysisClusteringCalculator.cpp Algorithms/itkDwiGradientLengthCorrectionFilter.cpp # Registration Algorithms & Co. Algorithms/Registration/mitkRegistrationWrapper.cpp Algorithms/Registration/mitkPyramidImageRegistrationMethod.cpp # MultishellProcessing Algorithms/Reconstruction/MultishellProcessing/itkADCAverageFunctor.cpp Algorithms/Reconstruction/MultishellProcessing/itkADCFitFunctor.cpp Algorithms/Reconstruction/MultishellProcessing/itkKurtosisFitFunctor.cpp Algorithms/Reconstruction/MultishellProcessing/itkBiExpFitFunctor.cpp # Function Collection mitkDiffusionFunctionCollection.cpp ) set(H_FILES # function Collection mitkDiffusionFunctionCollection.h # Rendering Rendering/mitkDiffusionImageMapper.h Rendering/mitkOdfVtkMapper2D.h # Reconstruction Algorithms/Reconstruction/itkDiffusionQballReconstructionImageFilter.h Algorithms/Reconstruction/mitkTeemDiffusionTensor3DReconstructionImageFilter.h Algorithms/Reconstruction/itkAnalyticalDiffusionQballReconstructionImageFilter.h Algorithms/Reconstruction/itkDiffusionMultiShellQballReconstructionImageFilter.h Algorithms/Reconstruction/itkPointShell.h Algorithms/Reconstruction/itkOrientationDistributionFunction.h Algorithms/Reconstruction/itkDiffusionIntravoxelIncoherentMotionReconstructionImageFilter.h # MultishellProcessing Algorithms/Reconstruction/MultishellProcessing/itkRadialMultishellToSingleshellImageFilter.h Algorithms/Reconstruction/MultishellProcessing/itkDWIVoxelFunctor.h Algorithms/Reconstruction/MultishellProcessing/itkADCAverageFunctor.h Algorithms/Reconstruction/MultishellProcessing/itkKurtosisFitFunctor.h Algorithms/Reconstruction/MultishellProcessing/itkBiExpFitFunctor.h Algorithms/Reconstruction/MultishellProcessing/itkADCFitFunctor.h # IO Datastructures IODataStructures/DiffusionWeightedImages/mitkDiffusionImage.h # Algorithms Algorithms/itkDiffusionQballGeneralizedFaImageFilter.h Algorithms/itkDiffusionQballPrepareVisualizationImageFilter.h Algorithms/itkTensorDerivedMeasurementsFilter.h Algorithms/itkBrainMaskExtractionImageFilter.h Algorithms/itkB0ImageExtractionImageFilter.h Algorithms/itkB0ImageExtractionToSeparateImageFilter.h Algorithms/itkTensorImageToDiffusionImageFilter.h Algorithms/itkTensorToL2NormImageFilter.h Algorithms/itkGaussianInterpolateImageFunction.h Algorithms/mitkPartialVolumeAnalysisHistogramCalculator.h Algorithms/mitkPartialVolumeAnalysisClusteringCalculator.h Algorithms/itkDiffusionTensorPrincipalDirectionImageFilter.h Algorithms/itkCartesianToPolarVectorImageFilter.h Algorithms/itkPolarToCartesianVectorImageFilter.h Algorithms/itkDistanceMapFilter.h Algorithms/itkProjectionFilter.h Algorithms/itkResidualImageFilter.h Algorithms/itkExtractChannelFromRgbaImageFilter.h Algorithms/itkTensorReconstructionWithEigenvalueCorrectionFilter.h Algorithms/itkMergeDiffusionImagesFilter.h Algorithms/itkDwiPhantomGenerationFilter.h Algorithms/itkFiniteDiffOdfMaximaExtractionFilter.h Algorithms/itkMrtrixPeakImageConverter.h Algorithms/itkFslPeakImageConverter.h Algorithms/itkShCoefficientImageImporter.h Algorithms/itkShCoefficientImageExporter.h Algorithms/itkOdfMaximaExtractionFilter.h Algorithms/itkResampleDwiImageFilter.h Algorithms/itkDwiGradientLengthCorrectionFilter.h Algorithms/itkAdcImageFilter.h - + Algorithms/itkDwiNormilzationFilter.h Algorithms/itkSplitDWImageFilter.h Algorithms/Registration/mitkDWIHeadMotionCorrectionFilter.h Algorithms/mitkDiffusionImageToDiffusionImageFilter.h Algorithms/itkNonLocalMeansDenoisingFilter.h Algorithms/itkVectorImageToImageFilter.h ) set( TOOL_FILES ) diff --git a/Plugins/org.mitk.gui.qt.basicimageprocessing/src/internal/QmitkBasicImageProcessingView.cpp b/Plugins/org.mitk.gui.qt.basicimageprocessing/src/internal/QmitkBasicImageProcessingView.cpp index 24334856a7..f6035585d8 100644 --- a/Plugins/org.mitk.gui.qt.basicimageprocessing/src/internal/QmitkBasicImageProcessingView.cpp +++ b/Plugins/org.mitk.gui.qt.basicimageprocessing/src/internal/QmitkBasicImageProcessingView.cpp @@ -1,1315 +1,1355 @@ /*=================================================================== 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 "QmitkBasicImageProcessingView.h" // QT includes (GUI) #include #include #include #include #include #include #include // Berry includes (selection service) #include #include // MITK includes (GUI) #include "QmitkStdMultiWidget.h" #include "QmitkDataNodeSelectionProvider.h" #include "mitkDataNodeObject.h" // MITK includes (general) #include "mitkNodePredicateDataType.h" #include "mitkNodePredicateDimension.h" #include "mitkNodePredicateAnd.h" #include "mitkImageTimeSelector.h" #include "mitkVectorImageMapper2D.h" #include "mitkProperties.h" // Includes for image casting between ITK and MITK #include "mitkImageCast.h" #include "mitkITKImageImport.h" // ITK includes (general) #include #include // Morphological Operations #include #include #include #include #include // Smoothing #include #include #include // Threshold #include // Inversion #include // Derivatives #include #include #include // Resampling #include #include #include #include // Image Arithmetics #include #include #include #include // Boolean operations #include #include #include // Flip Image #include +#include + // Convenient Definitions typedef itk::Image ImageType; typedef itk::Image SegmentationImageType; typedef itk::Image FloatImageType; typedef itk::Image, 3> VectorImageType; typedef itk::BinaryBallStructuringElement BallType; typedef itk::GrayscaleDilateImageFilter DilationFilterType; typedef itk::GrayscaleErodeImageFilter ErosionFilterType; typedef itk::GrayscaleMorphologicalOpeningImageFilter OpeningFilterType; typedef itk::GrayscaleMorphologicalClosingImageFilter ClosingFilterType; typedef itk::MedianImageFilter< ImageType, ImageType > MedianFilterType; typedef itk::DiscreteGaussianImageFilter< ImageType, ImageType> GaussianFilterType; typedef itk::TotalVariationDenoisingImageFilter TotalVariationFilterType; typedef itk::TotalVariationDenoisingImageFilter VectorTotalVariationFilterType; typedef itk::BinaryThresholdImageFilter< ImageType, ImageType > ThresholdFilterType; typedef itk::InvertIntensityImageFilter< ImageType, ImageType > InversionFilterType; typedef itk::GradientMagnitudeRecursiveGaussianImageFilter< ImageType, ImageType > GradientFilterType; typedef itk::LaplacianImageFilter< FloatImageType, FloatImageType > LaplacianFilterType; typedef itk::SobelEdgeDetectionImageFilter< FloatImageType, FloatImageType > SobelFilterType; typedef itk::ResampleImageFilter< ImageType, ImageType > ResampleImageFilterType; typedef itk::ResampleImageFilter< ImageType, ImageType > ResampleImageFilterType2; typedef itk::CastImageFilter< ImageType, FloatImageType > ImagePTypeToFloatPTypeCasterType; typedef itk::AddImageFilter< ImageType, ImageType, ImageType > AddFilterType; typedef itk::SubtractImageFilter< ImageType, ImageType, ImageType > SubtractFilterType; typedef itk::MultiplyImageFilter< ImageType, ImageType, ImageType > MultiplyFilterType; typedef itk::DivideImageFilter< ImageType, ImageType, FloatImageType > DivideFilterType; typedef itk::OrImageFilter< ImageType, ImageType > OrImageFilterType; typedef itk::AndImageFilter< ImageType, ImageType > AndImageFilterType; typedef itk::XorImageFilter< ImageType, ImageType > XorImageFilterType; typedef itk::FlipImageFilter< ImageType > FlipImageFilterType; typedef itk::LinearInterpolateImageFunction< ImageType, double > LinearInterpolatorType; typedef itk::NearestNeighborInterpolateImageFunction< ImageType, double > NearestInterpolatorType; QmitkBasicImageProcessing::QmitkBasicImageProcessing() : QmitkFunctionality(), m_Controls(NULL), m_SelectedImageNode(NULL), m_TimeStepperAdapter(NULL), m_SelectionListener(NULL) { } QmitkBasicImageProcessing::~QmitkBasicImageProcessing() { //berry::ISelectionService* s = GetSite()->GetWorkbenchWindow()->GetSelectionService(); //if(s) // s->RemoveSelectionListener(m_SelectionListener); } void QmitkBasicImageProcessing::CreateQtPartControl(QWidget *parent) { if (m_Controls == NULL) { m_Controls = new Ui::QmitkBasicImageProcessingViewControls; m_Controls->setupUi(parent); this->CreateConnections(); //setup predictaes for combobox mitk::NodePredicateDimension::Pointer dimensionPredicate = mitk::NodePredicateDimension::New(3); mitk::NodePredicateDataType::Pointer imagePredicate = mitk::NodePredicateDataType::New("Image"); m_Controls->m_ImageSelector2->SetDataStorage(this->GetDefaultDataStorage()); m_Controls->m_ImageSelector2->SetPredicate(mitk::NodePredicateAnd::New(dimensionPredicate, imagePredicate)); } m_Controls->gbTwoImageOps->hide(); m_SelectedImageNode = mitk::DataStorageSelection::New(this->GetDefaultDataStorage(), false); } void QmitkBasicImageProcessing::CreateConnections() { if ( m_Controls ) { connect( (QObject*)(m_Controls->cbWhat1), SIGNAL( activated(int) ), this, SLOT( SelectAction(int) ) ); connect( (QObject*)(m_Controls->btnDoIt), SIGNAL(clicked()),(QObject*) this, SLOT(StartButtonClicked())); connect( (QObject*)(m_Controls->cbWhat2), SIGNAL( activated(int) ), this, SLOT( SelectAction2(int) ) ); connect( (QObject*)(m_Controls->btnDoIt2), SIGNAL(clicked()),(QObject*) this, SLOT(StartButton2Clicked())); connect( (QObject*)(m_Controls->rBOneImOp), SIGNAL( clicked() ), this, SLOT( ChangeGUI() ) ); connect( (QObject*)(m_Controls->rBTwoImOp), SIGNAL( clicked() ), this, SLOT( ChangeGUI() ) ); connect( (QObject*)(m_Controls->cbParam4), SIGNAL( activated(int) ), this, SLOT( SelectInterpolator(int) ) ); } m_TimeStepperAdapter = new QmitkStepperAdapter((QObject*) m_Controls->sliceNavigatorTime, GetActiveStdMultiWidget()->GetTimeNavigationController()->GetTime(), "sliceNavigatorTimeFromBIP"); } void QmitkBasicImageProcessing::Activated() { QmitkFunctionality::Activated(); this->m_Controls->cbWhat1->clear(); this->m_Controls->cbWhat1->insertItem( NOACTIONSELECTED, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Please select operation", 0, QApplication::UnicodeUTF8) )); this->m_Controls->cbWhat1->insertItem( CATEGORY_DENOISING, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "--- Denoising ---", 0, QApplication::UnicodeUTF8) )); this->m_Controls->cbWhat1->insertItem( GAUSSIAN, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Gaussian", 0, QApplication::UnicodeUTF8) )); this->m_Controls->cbWhat1->insertItem( MEDIAN, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Median", 0, QApplication::UnicodeUTF8) )); this->m_Controls->cbWhat1->insertItem( TOTALVARIATION, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Total Variation", 0, QApplication::UnicodeUTF8) )); this->m_Controls->cbWhat1->insertItem( CATEGORY_MORPHOLOGICAL, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "--- Morphological ---", 0, QApplication::UnicodeUTF8) )); this->m_Controls->cbWhat1->insertItem( DILATION, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Dilation", 0, QApplication::UnicodeUTF8) )); this->m_Controls->cbWhat1->insertItem( EROSION, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Erosion", 0, QApplication::UnicodeUTF8) )); this->m_Controls->cbWhat1->insertItem( OPENING, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Opening", 0, QApplication::UnicodeUTF8) )); this->m_Controls->cbWhat1->insertItem( CLOSING, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Closing", 0, QApplication::UnicodeUTF8) )); this->m_Controls->cbWhat1->insertItem( CATEGORY_EDGE_DETECTION, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "--- Edge Detection ---", 0, QApplication::UnicodeUTF8) )); this->m_Controls->cbWhat1->insertItem( GRADIENT, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Gradient", 0, QApplication::UnicodeUTF8) )); this->m_Controls->cbWhat1->insertItem( LAPLACIAN, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Laplacian (2nd Derivative)", 0, QApplication::UnicodeUTF8) )); this->m_Controls->cbWhat1->insertItem( SOBEL, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Sobel Operator", 0, QApplication::UnicodeUTF8) )); this->m_Controls->cbWhat1->insertItem( CATEGORY_MISC, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "--- Misc ---", 0, QApplication::UnicodeUTF8) )); this->m_Controls->cbWhat1->insertItem( THRESHOLD, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Threshold", 0, QApplication::UnicodeUTF8) )); this->m_Controls->cbWhat1->insertItem( INVERSION, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Image Inversion", 0, QApplication::UnicodeUTF8) )); this->m_Controls->cbWhat1->insertItem( DOWNSAMPLING, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Downsampling", 0, QApplication::UnicodeUTF8) )); this->m_Controls->cbWhat1->insertItem( FLIPPING, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Flipping", 0, QApplication::UnicodeUTF8) )); this->m_Controls->cbWhat1->insertItem( RESAMPLING, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Resample to", 0, QApplication::UnicodeUTF8) )); + this->m_Controls->cbWhat1->insertItem( RESCALE, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Rescale image values", 0, QApplication::UnicodeUTF8) )); this->m_Controls->cbWhat2->clear(); this->m_Controls->cbWhat2->insertItem( TWOIMAGESNOACTIONSELECTED, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Please select on operation", 0, QApplication::UnicodeUTF8) ) ); this->m_Controls->cbWhat2->insertItem( CATEGORY_ARITHMETIC, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "--- Arithmetric operations ---", 0, QApplication::UnicodeUTF8) ) ); this->m_Controls->cbWhat2->insertItem( ADD, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Add to Image 1:", 0, QApplication::UnicodeUTF8) ) ); this->m_Controls->cbWhat2->insertItem( SUBTRACT, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Subtract from Image 1:", 0, QApplication::UnicodeUTF8) ) ); this->m_Controls->cbWhat2->insertItem( MULTIPLY, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Multiply with Image 1:", 0, QApplication::UnicodeUTF8) ) ); this->m_Controls->cbWhat2->insertItem( RESAMPLE_TO, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Resample Image 1 to fit geometry:", 0, QApplication::UnicodeUTF8) ) ); this->m_Controls->cbWhat2->insertItem( DIVIDE, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Divide Image 1 by:", 0, QApplication::UnicodeUTF8) ) ); this->m_Controls->cbWhat2->insertItem( CATEGORY_BOOLEAN, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "--- Boolean operations ---", 0, QApplication::UnicodeUTF8) ) ); this->m_Controls->cbWhat2->insertItem( AND, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "AND", 0, QApplication::UnicodeUTF8) ) ); this->m_Controls->cbWhat2->insertItem( OR, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "OR", 0, QApplication::UnicodeUTF8) ) ); this->m_Controls->cbWhat2->insertItem( XOR, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "XOR", 0, QApplication::UnicodeUTF8) ) ); this->m_Controls->cbParam4->clear(); this->m_Controls->cbParam4->insertItem( LINEAR, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Linear", 0, QApplication::UnicodeUTF8) ) ); this->m_Controls->cbParam4->insertItem( NEAREST, QString( QApplication::translate("QmitkBasicImageProcessingViewControls", "Nearest neighbor", 0, QApplication::UnicodeUTF8) ) ); m_Controls->dsbParam1->hide(); m_Controls->dsbParam2->hide(); m_Controls->dsbParam3->hide(); m_Controls->tlParam3->hide(); m_Controls->tlParam4->hide(); m_Controls->cbParam4->hide(); } //datamanager selection changed void QmitkBasicImageProcessing::OnSelectionChanged(std::vector nodes) { //any nodes there? if (!nodes.empty()) { // reset GUI // this->ResetOneImageOpPanel(); m_Controls->sliceNavigatorTime->setEnabled(false); m_Controls->leImage1->setText("Select an Image in Data Manager"); m_Controls->tlWhat1->setEnabled(false); m_Controls->cbWhat1->setEnabled(false); m_Controls->tlWhat2->setEnabled(false); m_Controls->cbWhat2->setEnabled(false); m_SelectedImageNode->RemoveAllNodes(); //get the selected Node mitk::DataNode* _DataNode = nodes.front(); *m_SelectedImageNode = _DataNode; //try to cast to image mitk::Image::Pointer tempImage = dynamic_cast(m_SelectedImageNode->GetNode()->GetData()); //no image if( tempImage.IsNull() || (tempImage->IsInitialized() == false) ) { m_Controls->leImage1->setText("Not an image."); return; } //2D image if( tempImage->GetDimension() < 3) { m_Controls->leImage1->setText("2D images are not supported."); return; } //image m_Controls->leImage1->setText(QString(m_SelectedImageNode->GetNode()->GetName().c_str())); // button coding if ( tempImage->GetDimension() > 3 ) { m_Controls->sliceNavigatorTime->setEnabled(true); m_Controls->tlTime->setEnabled(true); } m_Controls->tlWhat1->setEnabled(true); m_Controls->cbWhat1->setEnabled(true); m_Controls->tlWhat2->setEnabled(true); m_Controls->cbWhat2->setEnabled(true); } } void QmitkBasicImageProcessing::ChangeGUI() { if(m_Controls->rBOneImOp->isChecked()) { m_Controls->gbTwoImageOps->hide(); m_Controls->gbOneImageOps->show(); } else if(m_Controls->rBTwoImOp->isChecked()) { m_Controls->gbOneImageOps->hide(); m_Controls->gbTwoImageOps->show(); } } void QmitkBasicImageProcessing::ResetOneImageOpPanel() { m_Controls->tlParam1->setText("Param1"); m_Controls->tlParam2->setText("Param2"); m_Controls->cbWhat1->setCurrentIndex(0); m_Controls->tlTime->setEnabled(false); this->ResetParameterPanel(); m_Controls->btnDoIt->setEnabled(false); m_Controls->cbHideOrig->setEnabled(false); } void QmitkBasicImageProcessing::ResetParameterPanel() { m_Controls->tlParam->setEnabled(false); m_Controls->tlParam1->setEnabled(false); m_Controls->tlParam2->setEnabled(false); m_Controls->tlParam3->setEnabled(false); m_Controls->tlParam4->setEnabled(false); m_Controls->sbParam1->setEnabled(false); m_Controls->sbParam2->setEnabled(false); m_Controls->dsbParam1->setEnabled(false); m_Controls->dsbParam2->setEnabled(false); m_Controls->dsbParam3->setEnabled(false); m_Controls->cbParam4->setEnabled(false); m_Controls->sbParam1->setValue(0); m_Controls->sbParam2->setValue(0); m_Controls->dsbParam1->setValue(0); m_Controls->dsbParam2->setValue(0); m_Controls->dsbParam3->setValue(0); m_Controls->sbParam1->show(); m_Controls->sbParam2->show(); m_Controls->dsbParam1->hide(); m_Controls->dsbParam2->hide(); m_Controls->dsbParam3->hide(); m_Controls->cbParam4->hide(); m_Controls->tlParam3->hide(); m_Controls->tlParam4->hide(); } void QmitkBasicImageProcessing::ResetTwoImageOpPanel() { m_Controls->cbWhat2->setCurrentIndex(0); m_Controls->tlImage2->setEnabled(false); m_Controls->m_ImageSelector2->setEnabled(false); m_Controls->btnDoIt2->setEnabled(false); } void QmitkBasicImageProcessing::SelectAction(int action) { if ( ! m_SelectedImageNode->GetNode() ) return; // Prepare GUI this->ResetParameterPanel(); m_Controls->btnDoIt->setEnabled(false); m_Controls->cbHideOrig->setEnabled(false); QString text1 = "No Parameters"; QString text2 = "No Parameters"; QString text3 = "No Parameters"; QString text4 = "No Parameters"; if (action != 19) { m_Controls->dsbParam1->hide(); m_Controls->dsbParam2->hide(); m_Controls->dsbParam3->hide(); m_Controls->tlParam3->hide(); m_Controls->tlParam4->hide(); m_Controls->sbParam1->show(); m_Controls->sbParam2->show(); m_Controls->cbParam4->hide(); } // check which operation the user has selected and set parameters and GUI accordingly switch (action) { case 2: { m_SelectedAction = GAUSSIAN; m_Controls->tlParam1->setEnabled(true); m_Controls->sbParam1->setEnabled(true); text1 = "&Variance:"; m_Controls->sbParam1->setMinimum( 0 ); m_Controls->sbParam1->setMaximum( 200 ); m_Controls->sbParam1->setValue( 2 ); break; } case 3: { m_SelectedAction = MEDIAN; m_Controls->tlParam1->setEnabled(true); m_Controls->sbParam1->setEnabled(true); text1 = "&Radius:"; m_Controls->sbParam1->setMinimum( 0 ); m_Controls->sbParam1->setMaximum( 200 ); m_Controls->sbParam1->setValue( 3 ); break; } case 4: { m_SelectedAction = TOTALVARIATION; m_Controls->tlParam1->setEnabled(true); m_Controls->sbParam1->setEnabled(true); m_Controls->tlParam2->setEnabled(true); m_Controls->sbParam2->setEnabled(true); text1 = "Number Iterations:"; text2 = "Regularization\n(Lambda/1000):"; m_Controls->sbParam1->setMinimum( 1 ); m_Controls->sbParam1->setMaximum( 1000 ); m_Controls->sbParam1->setValue( 40 ); m_Controls->sbParam2->setMinimum( 0 ); m_Controls->sbParam2->setMaximum( 100000 ); m_Controls->sbParam2->setValue( 1 ); break; } case 6: { m_SelectedAction = DILATION; m_Controls->tlParam1->setEnabled(true); m_Controls->sbParam1->setEnabled(true); text1 = "&Radius:"; m_Controls->sbParam1->setMinimum( 0 ); m_Controls->sbParam1->setMaximum( 200 ); m_Controls->sbParam1->setValue( 3 ); break; } case 7: { m_SelectedAction = EROSION; m_Controls->tlParam1->setEnabled(true); m_Controls->sbParam1->setEnabled(true); text1 = "&Radius:"; m_Controls->sbParam1->setMinimum( 0 ); m_Controls->sbParam1->setMaximum( 200 ); m_Controls->sbParam1->setValue( 3 ); break; } case 8: { m_SelectedAction = OPENING; m_Controls->tlParam1->setEnabled(true); m_Controls->sbParam1->setEnabled(true); text1 = "&Radius:"; m_Controls->sbParam1->setMinimum( 0 ); m_Controls->sbParam1->setMaximum( 200 ); m_Controls->sbParam1->setValue( 3 ); break; } case 9: { m_SelectedAction = CLOSING; m_Controls->tlParam1->setEnabled(true); m_Controls->sbParam1->setEnabled(true); text1 = "&Radius:"; m_Controls->sbParam1->setMinimum( 0 ); m_Controls->sbParam1->setMaximum( 200 ); m_Controls->sbParam1->setValue( 3 ); break; } case 11: { m_SelectedAction = GRADIENT; m_Controls->tlParam1->setEnabled(true); m_Controls->sbParam1->setEnabled(true); text1 = "Sigma of Gaussian Kernel:\n(in Image Spacing Units)"; m_Controls->sbParam1->setMinimum( 0 ); m_Controls->sbParam1->setMaximum( 200 ); m_Controls->sbParam1->setValue( 2 ); break; } case 12: { m_SelectedAction = LAPLACIAN; break; } case 13: { m_SelectedAction = SOBEL; break; } case 15: { m_SelectedAction = THRESHOLD; m_Controls->tlParam1->setEnabled(true); m_Controls->sbParam1->setEnabled(true); m_Controls->tlParam2->setEnabled(true); m_Controls->sbParam2->setEnabled(true); text1 = "Lower threshold:"; text2 = "Upper threshold:"; m_Controls->sbParam1->setMinimum( -100000 ); m_Controls->sbParam1->setMaximum( 100000 ); m_Controls->sbParam1->setValue( 0 ); m_Controls->sbParam2->setMinimum( -100000 ); m_Controls->sbParam2->setMaximum( 100000 ); m_Controls->sbParam2->setValue( 300 ); break; } case 16: { m_SelectedAction = INVERSION; break; } case 17: { m_SelectedAction = DOWNSAMPLING; m_Controls->tlParam1->setEnabled(true); m_Controls->sbParam1->setEnabled(true); text1 = "Downsampling by Factor:"; m_Controls->sbParam1->setMinimum( 1 ); m_Controls->sbParam1->setMaximum( 100 ); m_Controls->sbParam1->setValue( 2 ); break; } case 18: { m_SelectedAction = FLIPPING; m_Controls->tlParam1->setEnabled(true); m_Controls->sbParam1->setEnabled(true); text1 = "Flip across axis:"; m_Controls->sbParam1->setMinimum( 0 ); m_Controls->sbParam1->setMaximum( 2 ); m_Controls->sbParam1->setValue( 1 ); break; } case 19: { m_SelectedAction = RESAMPLING; m_Controls->tlParam1->setEnabled(true); m_Controls->sbParam1->setEnabled(false); m_Controls->sbParam1->hide(); m_Controls->dsbParam1->show(); m_Controls->dsbParam1->setEnabled(true); m_Controls->tlParam2->setEnabled(true); m_Controls->sbParam2->setEnabled(false); m_Controls->sbParam2->hide(); m_Controls->dsbParam2->show(); m_Controls->dsbParam2->setEnabled(true); m_Controls->tlParam3->show(); m_Controls->tlParam3->setEnabled(true); m_Controls->dsbParam3->show(); m_Controls->dsbParam3->setEnabled(true); m_Controls->tlParam4->show(); m_Controls->tlParam4->setEnabled(true); m_Controls->cbParam4->show(); m_Controls->cbParam4->setEnabled(true); m_Controls->dsbParam1->setMinimum(0.01); m_Controls->dsbParam1->setMaximum(10.0); m_Controls->dsbParam1->setSingleStep(0.1); m_Controls->dsbParam1->setValue(0.3); m_Controls->dsbParam2->setMinimum(0.01); m_Controls->dsbParam2->setMaximum(10.0); m_Controls->dsbParam2->setSingleStep(0.1); m_Controls->dsbParam2->setValue(0.3); m_Controls->dsbParam3->setMinimum(0.01); m_Controls->dsbParam3->setMaximum(10.0); m_Controls->dsbParam3->setSingleStep(0.1); m_Controls->dsbParam3->setValue(1.5); text1 = "x-spacing:"; text2 = "y-spacing:"; text3 = "z-spacing:"; text4 = "Interplation:"; break; } + case 20: + { + m_SelectedAction = RESCALE; + m_Controls->dsbParam1->show(); + m_Controls->tlParam1->show(); + m_Controls->dsbParam1->setEnabled(true); + m_Controls->tlParam1->setEnabled(true); + m_Controls->dsbParam2->show(); + m_Controls->tlParam2->show(); + m_Controls->dsbParam2->setEnabled(true); + m_Controls->tlParam2->setEnabled(true); + text1 = "Output minimum:"; + text2 = "Output maximum:"; + break; + } + default: return; } m_Controls->tlParam->setEnabled(true); m_Controls->tlParam1->setText(text1); m_Controls->tlParam2->setText(text2); m_Controls->tlParam3->setText(text3); m_Controls->tlParam4->setText(text4); m_Controls->btnDoIt->setEnabled(true); m_Controls->cbHideOrig->setEnabled(true); } void QmitkBasicImageProcessing::StartButtonClicked() { if(!m_SelectedImageNode->GetNode()) return; this->BusyCursorOn(); mitk::Image::Pointer newImage; try { newImage = dynamic_cast(m_SelectedImageNode->GetNode()->GetData()); } catch ( std::exception &e ) { QString exceptionString = "An error occured during image loading:\n"; exceptionString.append( e.what() ); QMessageBox::warning( NULL, "Basic Image Processing", exceptionString , QMessageBox::Ok, QMessageBox::NoButton ); this->BusyCursorOff(); return; } // check if input image is valid, casting does not throw exception when casting from 'NULL-Object' if ( (! newImage) || (newImage->IsInitialized() == false) ) { this->BusyCursorOff(); QMessageBox::warning( NULL, "Basic Image Processing", "Input image is broken or not initialized. Returning.", QMessageBox::Ok, QMessageBox::NoButton ); return; } // check if operation is done on 4D a image time step if(newImage->GetDimension() > 3) { mitk::ImageTimeSelector::Pointer timeSelector = mitk::ImageTimeSelector::New(); timeSelector->SetInput(newImage); timeSelector->SetTimeNr( ((QmitkSliderNavigatorWidget*)m_Controls->sliceNavigatorTime)->GetPos() ); timeSelector->Update(); newImage = timeSelector->GetOutput(); } // check if image or vector image ImageType::Pointer itkImage = ImageType::New(); VectorImageType::Pointer itkVecImage = VectorImageType::New(); int isVectorImage = newImage->GetPixelType().GetNumberOfComponents(); if(isVectorImage > 1) { CastToItkImage( newImage, itkVecImage ); } else { CastToItkImage( newImage, itkImage ); } std::stringstream nameAddition(""); int param1 = m_Controls->sbParam1->value(); int param2 = m_Controls->sbParam2->value(); double dparam1 = m_Controls->dsbParam1->value(); double dparam2 = m_Controls->dsbParam2->value(); double dparam3 = m_Controls->dsbParam3->value(); try{ switch (m_SelectedAction) { case GAUSSIAN: { GaussianFilterType::Pointer gaussianFilter = GaussianFilterType::New(); gaussianFilter->SetInput( itkImage ); gaussianFilter->SetVariance( param1 ); gaussianFilter->UpdateLargestPossibleRegion(); newImage = mitk::ImportItkImage(gaussianFilter->GetOutput())->Clone(); nameAddition << "_Gaussian_var_" << param1; std::cout << "Gaussian filtering successful." << std::endl; break; } case MEDIAN: { MedianFilterType::Pointer medianFilter = MedianFilterType::New(); MedianFilterType::InputSizeType size; size.Fill(param1); medianFilter->SetRadius( size ); medianFilter->SetInput(itkImage); medianFilter->UpdateLargestPossibleRegion(); newImage = mitk::ImportItkImage(medianFilter->GetOutput())->Clone(); nameAddition << "_Median_radius_" << param1; std::cout << "Median Filtering successful." << std::endl; break; } case TOTALVARIATION: { if(isVectorImage > 1) { VectorTotalVariationFilterType::Pointer TVFilter = VectorTotalVariationFilterType::New(); TVFilter->SetInput( itkVecImage.GetPointer() ); TVFilter->SetNumberIterations(param1); TVFilter->SetLambda(double(param2)/1000.); TVFilter->UpdateLargestPossibleRegion(); newImage = mitk::ImportItkImage(TVFilter->GetOutput())->Clone(); } else { ImagePTypeToFloatPTypeCasterType::Pointer floatCaster = ImagePTypeToFloatPTypeCasterType::New(); floatCaster->SetInput( itkImage ); floatCaster->Update(); FloatImageType::Pointer fImage = floatCaster->GetOutput(); TotalVariationFilterType::Pointer TVFilter = TotalVariationFilterType::New(); TVFilter->SetInput( fImage.GetPointer() ); TVFilter->SetNumberIterations(param1); TVFilter->SetLambda(double(param2)/1000.); TVFilter->UpdateLargestPossibleRegion(); newImage = mitk::ImportItkImage(TVFilter->GetOutput())->Clone(); } nameAddition << "_TV_Iter_" << param1 << "_L_" << param2; std::cout << "Total Variation Filtering successful." << std::endl; break; } case DILATION: { BallType binaryBall; binaryBall.SetRadius( param1 ); binaryBall.CreateStructuringElement(); DilationFilterType::Pointer dilationFilter = DilationFilterType::New(); dilationFilter->SetInput( itkImage ); dilationFilter->SetKernel( binaryBall ); dilationFilter->UpdateLargestPossibleRegion(); newImage = mitk::ImportItkImage(dilationFilter->GetOutput())->Clone(); nameAddition << "_Dilated_by_" << param1; std::cout << "Dilation successful." << std::endl; break; } case EROSION: { BallType binaryBall; binaryBall.SetRadius( param1 ); binaryBall.CreateStructuringElement(); ErosionFilterType::Pointer erosionFilter = ErosionFilterType::New(); erosionFilter->SetInput( itkImage ); erosionFilter->SetKernel( binaryBall ); erosionFilter->UpdateLargestPossibleRegion(); newImage = mitk::ImportItkImage(erosionFilter->GetOutput())->Clone(); nameAddition << "_Eroded_by_" << param1; std::cout << "Erosion successful." << std::endl; break; } case OPENING: { BallType binaryBall; binaryBall.SetRadius( param1 ); binaryBall.CreateStructuringElement(); OpeningFilterType::Pointer openFilter = OpeningFilterType::New(); openFilter->SetInput( itkImage ); openFilter->SetKernel( binaryBall ); openFilter->UpdateLargestPossibleRegion(); newImage = mitk::ImportItkImage(openFilter->GetOutput())->Clone(); nameAddition << "_Opened_by_" << param1; std::cout << "Opening successful." << std::endl; break; } case CLOSING: { BallType binaryBall; binaryBall.SetRadius( param1 ); binaryBall.CreateStructuringElement(); ClosingFilterType::Pointer closeFilter = ClosingFilterType::New(); closeFilter->SetInput( itkImage ); closeFilter->SetKernel( binaryBall ); closeFilter->UpdateLargestPossibleRegion(); newImage = mitk::ImportItkImage(closeFilter->GetOutput())->Clone(); nameAddition << "_Closed_by_" << param1; std::cout << "Closing successful." << std::endl; break; } case GRADIENT: { GradientFilterType::Pointer gradientFilter = GradientFilterType::New(); gradientFilter->SetInput( itkImage ); gradientFilter->SetSigma( param1 ); gradientFilter->UpdateLargestPossibleRegion(); newImage = mitk::ImportItkImage(gradientFilter->GetOutput())->Clone(); nameAddition << "_Gradient_sigma_" << param1; std::cout << "Gradient calculation successful." << std::endl; break; } case LAPLACIAN: { // the laplace filter requires a float type image as input, we need to cast the itkImage // to correct type ImagePTypeToFloatPTypeCasterType::Pointer caster = ImagePTypeToFloatPTypeCasterType::New(); caster->SetInput( itkImage ); caster->Update(); FloatImageType::Pointer fImage = caster->GetOutput(); LaplacianFilterType::Pointer laplacianFilter = LaplacianFilterType::New(); laplacianFilter->SetInput( fImage ); laplacianFilter->UpdateLargestPossibleRegion(); newImage = mitk::ImportItkImage(laplacianFilter->GetOutput())->Clone(); nameAddition << "_Second_Derivative"; std::cout << "Laplacian filtering successful." << std::endl; break; } case SOBEL: { // the sobel filter requires a float type image as input, we need to cast the itkImage // to correct type ImagePTypeToFloatPTypeCasterType::Pointer caster = ImagePTypeToFloatPTypeCasterType::New(); caster->SetInput( itkImage ); caster->Update(); FloatImageType::Pointer fImage = caster->GetOutput(); SobelFilterType::Pointer sobelFilter = SobelFilterType::New(); sobelFilter->SetInput( fImage ); sobelFilter->UpdateLargestPossibleRegion(); newImage = mitk::ImportItkImage(sobelFilter->GetOutput())->Clone(); nameAddition << "_Sobel"; std::cout << "Edge Detection successful." << std::endl; break; } case THRESHOLD: { ThresholdFilterType::Pointer thFilter = ThresholdFilterType::New(); thFilter->SetLowerThreshold(param1 < param2 ? param1 : param2); thFilter->SetUpperThreshold(param2 > param1 ? param2 : param1); thFilter->SetInsideValue(1); thFilter->SetOutsideValue(0); thFilter->SetInput(itkImage); thFilter->UpdateLargestPossibleRegion(); newImage = mitk::ImportItkImage(thFilter->GetOutput())->Clone(); nameAddition << "_Threshold"; std::cout << "Thresholding successful." << std::endl; break; } case INVERSION: { InversionFilterType::Pointer invFilter = InversionFilterType::New(); mitk::ScalarType min = newImage->GetScalarValueMin(); mitk::ScalarType max = newImage->GetScalarValueMax(); invFilter->SetMaximum( max + min ); invFilter->SetInput(itkImage); invFilter->UpdateLargestPossibleRegion(); newImage = mitk::ImportItkImage(invFilter->GetOutput())->Clone(); nameAddition << "_Inverted"; std::cout << "Image inversion successful." << std::endl; break; } case DOWNSAMPLING: { ResampleImageFilterType::Pointer downsampler = ResampleImageFilterType::New(); downsampler->SetInput( itkImage ); NearestInterpolatorType::Pointer interpolator = NearestInterpolatorType::New(); downsampler->SetInterpolator( interpolator ); downsampler->SetDefaultPixelValue( 0 ); ResampleImageFilterType::SpacingType spacing = itkImage->GetSpacing(); spacing *= (double) param1; downsampler->SetOutputSpacing( spacing ); downsampler->SetOutputOrigin( itkImage->GetOrigin() ); downsampler->SetOutputDirection( itkImage->GetDirection() ); ResampleImageFilterType::SizeType size = itkImage->GetLargestPossibleRegion().GetSize(); for ( int i = 0; i < 3; ++i ) { size[i] /= param1; } downsampler->SetSize( size ); downsampler->UpdateLargestPossibleRegion(); newImage = mitk::ImportItkImage(downsampler->GetOutput())->Clone(); nameAddition << "_Downsampled_by_" << param1; std::cout << "Downsampling successful." << std::endl; break; } case FLIPPING: { FlipImageFilterType::Pointer flipper = FlipImageFilterType::New(); flipper->SetInput( itkImage ); itk::FixedArray flipAxes; for(int i=0; i<3; ++i) { if(i == param1) { flipAxes[i] = true; } else { flipAxes[i] = false; } } flipper->SetFlipAxes(flipAxes); flipper->UpdateLargestPossibleRegion(); newImage = mitk::ImportItkImage(flipper->GetOutput())->Clone(); std::cout << "Image flipping successful." << std::endl; break; } case RESAMPLING: { std::string selectedInterpolator; ResampleImageFilterType::Pointer resampler = ResampleImageFilterType::New(); switch (m_SelectedInterpolation) { case LINEAR: { LinearInterpolatorType::Pointer interpolator = LinearInterpolatorType::New(); resampler->SetInterpolator(interpolator); selectedInterpolator = "Linear"; break; } case NEAREST: { NearestInterpolatorType::Pointer interpolator = NearestInterpolatorType::New(); resampler->SetInterpolator(interpolator); selectedInterpolator = "Nearest"; break; } default: { LinearInterpolatorType::Pointer interpolator = LinearInterpolatorType::New(); resampler->SetInterpolator(interpolator); selectedInterpolator = "Linear"; break; } } resampler->SetInput( itkImage ); resampler->SetOutputOrigin( itkImage->GetOrigin() ); ImageType::SizeType input_size = itkImage->GetLargestPossibleRegion().GetSize(); ImageType::SpacingType input_spacing = itkImage->GetSpacing(); ImageType::SizeType output_size; ImageType::SpacingType output_spacing; output_size[0] = input_size[0] * (input_spacing[0] / dparam1); output_size[1] = input_size[1] * (input_spacing[1] / dparam2); output_size[2] = input_size[2] * (input_spacing[2] / dparam3); output_spacing [0] = dparam1; output_spacing [1] = dparam2; output_spacing [2] = dparam3; resampler->SetSize( output_size ); resampler->SetOutputSpacing( output_spacing ); resampler->SetOutputDirection( itkImage->GetDirection() ); resampler->UpdateLargestPossibleRegion(); ImageType::Pointer resampledImage = resampler->GetOutput(); newImage = mitk::ImportItkImage( resampledImage ); nameAddition << "_Resampled_" << selectedInterpolator; std::cout << "Resampling successful." << std::endl; break; } + + case RESCALE: + { + FloatImageType::Pointer floatImage = FloatImageType::New(); + CastToItkImage( newImage, floatImage ); + itk::RescaleIntensityImageFilter::Pointer filter = itk::RescaleIntensityImageFilter::New(); + filter->SetInput(0, floatImage); + filter->SetOutputMinimum(dparam1); + filter->SetOutputMaximum(dparam2); + filter->Update(); + floatImage = filter->GetOutput(); + + newImage = mitk::Image::New(); + newImage->InitializeByItk(floatImage.GetPointer()); + newImage->SetVolume(floatImage->GetBufferPointer()); + nameAddition << "_Rescaled"; + std::cout << "Rescaling successful." << std::endl; + + break; + } + default: this->BusyCursorOff(); return; } } catch (...) { this->BusyCursorOff(); QMessageBox::warning(NULL, "Warning", "Problem when applying filter operation. Check your input..."); return; } newImage->DisconnectPipeline(); // adjust level/window to new image mitk::LevelWindow levelwindow; levelwindow.SetAuto( newImage ); mitk::LevelWindowProperty::Pointer levWinProp = mitk::LevelWindowProperty::New(); levWinProp->SetLevelWindow( levelwindow ); // compose new image name std::string name = m_SelectedImageNode->GetNode()->GetName(); if (name.find(".pic.gz") == name.size() -7 ) { name = name.substr(0,name.size() -7); } name.append( nameAddition.str() ); // create final result MITK data storage node mitk::DataNode::Pointer result = mitk::DataNode::New(); result->SetProperty( "levelwindow", levWinProp ); result->SetProperty( "name", mitk::StringProperty::New( name.c_str() ) ); result->SetData( newImage ); // for vector images, a different mapper is needed if(isVectorImage > 1) { mitk::VectorImageMapper2D::Pointer mapper = mitk::VectorImageMapper2D::New(); result->SetMapper(1,mapper); } // reset GUI to ease further processing // this->ResetOneImageOpPanel(); // add new image to data storage and set as active to ease further processing GetDefaultDataStorage()->Add( result, m_SelectedImageNode->GetNode() ); if ( m_Controls->cbHideOrig->isChecked() == true ) m_SelectedImageNode->GetNode()->SetProperty( "visible", mitk::BoolProperty::New(false) ); // TODO!! m_Controls->m_ImageSelector1->SetSelectedNode(result); // show the results mitk::RenderingManager::GetInstance()->RequestUpdateAll(); this->BusyCursorOff(); } void QmitkBasicImageProcessing::SelectAction2(int operation) { // check which operation the user has selected and set parameters and GUI accordingly switch (operation) { case 2: m_SelectedOperation = ADD; break; case 3: m_SelectedOperation = SUBTRACT; break; case 4: m_SelectedOperation = MULTIPLY; break; case 5: m_SelectedOperation = DIVIDE; break; case 6: m_SelectedOperation = RESAMPLE_TO; break; case 8: m_SelectedOperation = AND; break; case 9: m_SelectedOperation = OR; break; case 10: m_SelectedOperation = XOR; break; default: // this->ResetTwoImageOpPanel(); return; } m_Controls->tlImage2->setEnabled(true); m_Controls->m_ImageSelector2->setEnabled(true); m_Controls->btnDoIt2->setEnabled(true); } void QmitkBasicImageProcessing::StartButton2Clicked() { mitk::Image::Pointer newImage1 = dynamic_cast (m_SelectedImageNode->GetNode()->GetData()); mitk::Image::Pointer newImage2 = dynamic_cast (m_Controls->m_ImageSelector2->GetSelectedNode()->GetData()); // check if images are valid if( (!newImage1) || (!newImage2) || (newImage1->IsInitialized() == false) || (newImage2->IsInitialized() == false) ) { itkGenericExceptionMacro(<< "At least one of the input images are broken or not initialized. Returning"); return; } this->BusyCursorOn(); // this->ResetTwoImageOpPanel(); // check if 4D image and use filter on correct time step int time = ((QmitkSliderNavigatorWidget*)m_Controls->sliceNavigatorTime)->GetPos(); if(time>=0) { mitk::ImageTimeSelector::Pointer timeSelector = mitk::ImageTimeSelector::New(); timeSelector->SetInput(newImage1); timeSelector->SetTimeNr( time ); timeSelector->UpdateLargestPossibleRegion(); newImage1 = timeSelector->GetOutput(); newImage1->DisconnectPipeline(); timeSelector->SetInput(newImage2); timeSelector->SetTimeNr( time ); timeSelector->UpdateLargestPossibleRegion(); newImage2 = timeSelector->GetOutput(); newImage2->DisconnectPipeline(); } // reset GUI for better usability // this->ResetTwoImageOpPanel(); ImageType::Pointer itkImage1 = ImageType::New(); ImageType::Pointer itkImage2 = ImageType::New(); CastToItkImage( newImage1, itkImage1 ); CastToItkImage( newImage2, itkImage2 ); // Remove temp image newImage2 = NULL; std::string nameAddition = ""; try { switch (m_SelectedOperation) { case ADD: { AddFilterType::Pointer addFilter = AddFilterType::New(); addFilter->SetInput1( itkImage1 ); addFilter->SetInput2( itkImage2 ); addFilter->UpdateLargestPossibleRegion(); newImage1 = mitk::ImportItkImage(addFilter->GetOutput())->Clone(); nameAddition = "_Added"; } break; case SUBTRACT: { SubtractFilterType::Pointer subFilter = SubtractFilterType::New(); subFilter->SetInput1( itkImage1 ); subFilter->SetInput2( itkImage2 ); subFilter->UpdateLargestPossibleRegion(); newImage1 = mitk::ImportItkImage(subFilter->GetOutput())->Clone(); nameAddition = "_Subtracted"; } break; case MULTIPLY: { MultiplyFilterType::Pointer multFilter = MultiplyFilterType::New(); multFilter->SetInput1( itkImage1 ); multFilter->SetInput2( itkImage2 ); multFilter->UpdateLargestPossibleRegion(); newImage1 = mitk::ImportItkImage(multFilter->GetOutput())->Clone(); nameAddition = "_Multiplied"; } break; case DIVIDE: { DivideFilterType::Pointer divFilter = DivideFilterType::New(); divFilter->SetInput1( itkImage1 ); divFilter->SetInput2( itkImage2 ); divFilter->UpdateLargestPossibleRegion(); newImage1 = mitk::ImportItkImage(divFilter->GetOutput())->Clone(); nameAddition = "_Divided"; } break; case AND: { AndImageFilterType::Pointer andFilter = AndImageFilterType::New(); andFilter->SetInput1( itkImage1 ); andFilter->SetInput2( itkImage2 ); andFilter->UpdateLargestPossibleRegion(); newImage1 = mitk::ImportItkImage(andFilter->GetOutput())->Clone(); nameAddition = "_AND"; break; } case OR: { OrImageFilterType::Pointer orFilter = OrImageFilterType::New(); orFilter->SetInput1( itkImage1 ); orFilter->SetInput2( itkImage2 ); orFilter->UpdateLargestPossibleRegion(); newImage1 = mitk::ImportItkImage(orFilter->GetOutput())->Clone(); nameAddition = "_OR"; break; } case XOR: { XorImageFilterType::Pointer xorFilter = XorImageFilterType::New(); xorFilter->SetInput1( itkImage1 ); xorFilter->SetInput2( itkImage2 ); xorFilter->UpdateLargestPossibleRegion(); newImage1 = mitk::ImportItkImage(xorFilter->GetOutput())->Clone(); nameAddition = "_XOR"; break; } case RESAMPLE_TO: { itk::NearestNeighborInterpolateImageFunction::Pointer nn_interpolator = itk::NearestNeighborInterpolateImageFunction::New(); ResampleImageFilterType2::Pointer resampleFilter = ResampleImageFilterType2::New(); resampleFilter->SetInput( itkImage1 ); resampleFilter->SetReferenceImage( itkImage2 ); resampleFilter->SetUseReferenceImage( true ); resampleFilter->SetInterpolator( nn_interpolator ); resampleFilter->SetDefaultPixelValue( 0 ); ImageType::Pointer resampledImage = resampleFilter->GetOutput()->Clone(); try { resampleFilter->UpdateLargestPossibleRegion(); } catch( const itk::ExceptionObject &e) { MITK_WARN << "Updating resampling filter failed. "; MITK_WARN << "REASON: " << e.what(); } newImage1 = mitk::ImportItkImage( resampledImage )->Clone(); nameAddition = "_Resampled"; break; } default: std::cout << "Something went wrong..." << std::endl; this->BusyCursorOff(); return; } } catch (const itk::ExceptionObject& e ) { this->BusyCursorOff(); QMessageBox::warning(NULL, "ITK Exception", e.what() ); QMessageBox::warning(NULL, "Warning", "Problem when applying arithmetic operation to two images. Check dimensions of input images."); return; } // disconnect pipeline; images will not be reused newImage1->DisconnectPipeline(); itkImage1 = NULL; itkImage2 = NULL; // adjust level/window to new image and compose new image name mitk::LevelWindow levelwindow; levelwindow.SetAuto( newImage1 ); mitk::LevelWindowProperty::Pointer levWinProp = mitk::LevelWindowProperty::New(); levWinProp->SetLevelWindow( levelwindow ); std::string name = m_SelectedImageNode->GetNode()->GetName(); if (name.find(".pic.gz") == name.size() -7 ) { name = name.substr(0,name.size() -7); } // create final result MITK data storage node mitk::DataNode::Pointer result = mitk::DataNode::New(); result->SetProperty( "levelwindow", levWinProp ); result->SetProperty( "name", mitk::StringProperty::New( (name + nameAddition ).c_str() )); result->SetData( newImage1 ); GetDefaultDataStorage()->Add( result, m_SelectedImageNode->GetNode() ); // show only the newly created image m_SelectedImageNode->GetNode()->SetProperty( "visible", mitk::BoolProperty::New(false) ); m_Controls->m_ImageSelector2->GetSelectedNode()->SetProperty( "visible", mitk::BoolProperty::New(false) ); // show the newly created image mitk::RenderingManager::GetInstance()->RequestUpdateAll(); this->BusyCursorOff(); } void QmitkBasicImageProcessing::SelectInterpolator(int interpolator) { switch (interpolator) { case 0: { m_SelectedInterpolation = LINEAR; break; } case 1: { m_SelectedInterpolation = NEAREST; break; } } } diff --git a/Plugins/org.mitk.gui.qt.basicimageprocessing/src/internal/QmitkBasicImageProcessingView.h b/Plugins/org.mitk.gui.qt.basicimageprocessing/src/internal/QmitkBasicImageProcessingView.h index 846f62d217..e727fb698b 100644 --- a/Plugins/org.mitk.gui.qt.basicimageprocessing/src/internal/QmitkBasicImageProcessingView.h +++ b/Plugins/org.mitk.gui.qt.basicimageprocessing/src/internal/QmitkBasicImageProcessingView.h @@ -1,188 +1,189 @@ /*=================================================================== 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. ===================================================================*/ #if !defined(QmitkBasicImageProcessingView_H__INCLUDED) #define QmitkBasicImageProcessingView_H__INCLUDED #include "QmitkFunctionality.h" #include #include "ui_QmitkBasicImageProcessingViewControls.h" #include "QmitkStepperAdapter.h" #include #include /*! \brief This module allows to use some basic image processing filters for preprocessing, image enhancement and testing purposes Several basic ITK image processing filters, like denoising, morphological and edge detection are encapsulated in this module and can be selected via a list and an intuitive parameter input. The selected filter will be applied on the image, and a new image showing the output is displayed as result. Also, some image arithmetic operations are available. Images can be 3D or 4D. In the 4D case, the filters work on the 3D image selected via the time slider. The result is also a 3D image. \sa QmitkFunctionality, QObject \class QmitkBasicImageProcessing \author Tobias Schwarz \version 1.0 (3M3) \date 2009-05-10 \ingroup Bundles */ class BASICIMAGEPROCESSING_EXPORT QmitkBasicImageProcessing : public QmitkFunctionality { Q_OBJECT public: /*! \brief default constructor */ QmitkBasicImageProcessing(); /*! \brief default destructor */ virtual ~QmitkBasicImageProcessing(); /*! \brief method for creating the widget containing the application controls, like sliders, buttons etc. */ virtual void CreateQtPartControl(QWidget *parent); /*! \brief method for creating the connections of main and control widget */ virtual void CreateConnections(); virtual void Activated(); /*! \brief Invoked when the DataManager selection changed */ virtual void OnSelectionChanged(std::vector nodes); protected slots: /* * When an action is selected in the "one image ops" list box */ void SelectAction(int action); /* * When an action is selected in the "two image ops" list box */ void SelectAction2(int operation); /* * The "Execute" button in the "one image ops" box was triggered */ void StartButtonClicked(); /* * The "Execute" button in the "two image ops" box was triggered */ void StartButton2Clicked(); /* * Switch between the one and the two image operations GUI */ void ChangeGUI(); void SelectInterpolator(int interpolator); private: /* * After a one image operation, reset the "one image ops" panel */ void ResetOneImageOpPanel(); /* * Helper method to reset the parameter set panel */ void ResetParameterPanel(); /* * After a two image operation, reset the "two image ops" panel */ void ResetTwoImageOpPanel(); /*! * controls containing sliders for scrolling through the slices */ Ui::QmitkBasicImageProcessingViewControls *m_Controls; //mitk::DataNode* m_SelectedImageNode; mitk::DataStorageSelection::Pointer m_SelectedImageNode; QmitkStepperAdapter* m_TimeStepperAdapter; berry::ISelectionListener::Pointer m_SelectionListener; enum ActionType { NOACTIONSELECTED, CATEGORY_DENOISING, GAUSSIAN, MEDIAN, TOTALVARIATION, CATEGORY_MORPHOLOGICAL, DILATION, EROSION, OPENING, CLOSING, CATEGORY_EDGE_DETECTION, GRADIENT, LAPLACIAN, SOBEL, CATEGORY_MISC, THRESHOLD, INVERSION, DOWNSAMPLING, FLIPPING, - RESAMPLING + RESAMPLING, + RESCALE } m_SelectedAction; enum OperationType{ TWOIMAGESNOACTIONSELECTED, CATEGORY_ARITHMETIC, ADD, SUBTRACT, MULTIPLY, DIVIDE, RESAMPLE_TO, CATEGORY_BOOLEAN, AND, OR, XOR } m_SelectedOperation; enum InterpolationType{ LINEAR, NEAREST } m_SelectedInterpolation; }; #endif // !defined(QmitkBasicImageProcessing_H__INCLUDED) diff --git a/Plugins/org.mitk.gui.qt.basicimageprocessing/src/internal/QmitkBasicImageProcessingViewControls.ui b/Plugins/org.mitk.gui.qt.basicimageprocessing/src/internal/QmitkBasicImageProcessingViewControls.ui index f4aeb26160..0febdf1c5a 100644 --- a/Plugins/org.mitk.gui.qt.basicimageprocessing/src/internal/QmitkBasicImageProcessingViewControls.ui +++ b/Plugins/org.mitk.gui.qt.basicimageprocessing/src/internal/QmitkBasicImageProcessingViewControls.ui @@ -1,437 +1,443 @@ QmitkBasicImageProcessingViewControls 0 0 - 272 + 349 980 Form true 0 6 0 6 Filters (One Image) true Arithmetic (Two Images) Select an Image in Data Manager true false Output image will be 3D Choose time step if 4D (Slider for both images) false false Output image will be 3D true true false false 0 6 0 0 false Select second image: false m_ImageSelector2 false false E&xecute false Select an operation: false cbWhat2 false Qt::Vertical 254 403 true 0 6 0 0 false Select an operation: false cbWhat1 false false ... and parameters: false false Parameter 1: false sbParam1 false Parameter 2: false sbParam2 false &Execute false Hide Original Image true false Parameter 3: false Parameter 4: false 0 0 false 0 0 Qt::LeftToRight Qt::AlignLeading|Qt::AlignLeft|Qt::AlignVCenter false 0 0 + + 999999999.000000000000000 + false 0 0 2 + + 999999999.000000000000000 + false 0 0 false 0 0 QmitkDataStorageComboBox QComboBox
QmitkDataStorageComboBox.h
QmitkSliderNavigatorWidget QWidget
QmitkSliderNavigatorWidget.h
diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkPreprocessingView.cpp b/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkPreprocessingView.cpp index dd47e50ae5..d47d657bf2 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkPreprocessingView.cpp +++ b/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkPreprocessingView.cpp @@ -1,859 +1,889 @@ /*=================================================================== 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. ===================================================================*/ //#define MBILOG_ENABLE_DEBUG #include "QmitkPreprocessingView.h" #include "mitkDiffusionImagingConfigure.h" // qt includes #include // itk includes #include "itkTimeProbe.h" #include "itkB0ImageExtractionImageFilter.h" #include "itkB0ImageExtractionToSeparateImageFilter.h" #include "itkBrainMaskExtractionImageFilter.h" #include "itkCastImageFilter.h" #include "itkVectorContainer.h" #include #include #include +#include // Multishell includes #include // Multishell Functors #include #include #include #include // mitk includes #include "QmitkDataStorageComboBox.h" #include "QmitkStdMultiWidget.h" #include "mitkProgressBar.h" #include "mitkStatusBar.h" #include "mitkNodePredicateDataType.h" #include "mitkProperties.h" #include "mitkVtkResliceInterpolationProperty.h" #include "mitkLookupTable.h" #include "mitkLookupTableProperty.h" #include "mitkTransferFunction.h" #include "mitkTransferFunctionProperty.h" #include "mitkDataNodeObject.h" #include "mitkOdfNormalizationMethodProperty.h" #include "mitkOdfScaleByProperty.h" #include #include #include #include const std::string QmitkPreprocessingView::VIEW_ID = "org.mitk.views.preprocessing"; #define DI_INFO MITK_INFO("DiffusionImaging") typedef float TTensorPixelType; QmitkPreprocessingView::QmitkPreprocessingView() : QmitkFunctionality(), m_Controls(NULL), m_MultiWidget(NULL), m_DiffusionImage(NULL) { } QmitkPreprocessingView::~QmitkPreprocessingView() { } void QmitkPreprocessingView::CreateQtPartControl(QWidget *parent) { if (!m_Controls) { // create GUI widgets m_Controls = new Ui::QmitkPreprocessingViewControls; m_Controls->setupUi(parent); this->CreateConnections(); m_Controls->m_MeasurementFrameTable->horizontalHeader()->setResizeMode(QHeaderView::Stretch); m_Controls->m_MeasurementFrameTable->verticalHeader()->setResizeMode(QHeaderView::Stretch); } } void QmitkPreprocessingView::StdMultiWidgetAvailable (QmitkStdMultiWidget &stdMultiWidget) { m_MultiWidget = &stdMultiWidget; } void QmitkPreprocessingView::StdMultiWidgetNotAvailable() { m_MultiWidget = NULL; } void QmitkPreprocessingView::CreateConnections() { if ( m_Controls ) { connect( (QObject*)(m_Controls->m_ButtonAverageGradients), SIGNAL(clicked()), this, SLOT(AverageGradients()) ); connect( (QObject*)(m_Controls->m_ButtonExtractB0), SIGNAL(clicked()), this, SLOT(ExtractB0()) ); connect( (QObject*)(m_Controls->m_ModifyMeasurementFrame), SIGNAL(clicked()), this, SLOT(DoApplyMesurementFrame()) ); connect( (QObject*)(m_Controls->m_ReduceGradientsButton), SIGNAL(clicked()), this, SLOT(DoReduceGradientDirections()) ); connect( (QObject*)(m_Controls->m_ShowGradientsButton), SIGNAL(clicked()), this, SLOT(DoShowGradientDirections()) ); connect( (QObject*)(m_Controls->m_MirrorGradientToHalfSphereButton), SIGNAL(clicked()), this, SLOT(DoHalfSphereGradientDirections()) ); connect( (QObject*)(m_Controls->m_MergeDwisButton), SIGNAL(clicked()), this, SLOT(MergeDwis()) ); connect( (QObject*)(m_Controls->m_AdcSignalAverage), SIGNAL(clicked()), this, SLOT(DoADCAverage()) ); //connect( (QObject*)(m_Controls->m_AdcSignalFit), SIGNAL(clicked()), this, SLOT(DoADCFit()) ); connect( (QObject*)(m_Controls->m_AkcSignalFit), SIGNAL(clicked()), this, SLOT(DoAKCFit()) ); connect( (QObject*)(m_Controls->m_BiExpSignalFit), SIGNAL(clicked()), this, SLOT(DoBiExpFit()) ); connect( (QObject*)(m_Controls->m_B_ValueMap_Rounder_SpinBox), SIGNAL(valueChanged(int)), this, SLOT(UpdateDwiBValueMapRounder(int))); connect( (QObject*)(m_Controls->m_CreateLengthCorrectedDwi), SIGNAL(clicked()), this, SLOT(DoLengthCorrection()) ); connect( (QObject*)(m_Controls->m_CalcAdcButton), SIGNAL(clicked()), this, SLOT(DoAdcCalculation()) ); + connect( (QObject*)(m_Controls->m_NormalizeImageValuesButton), SIGNAL(clicked()), this, SLOT(DoDwiNormalization()) ); } } +void QmitkPreprocessingView::DoDwiNormalization() +{ + if (m_DiffusionImage.IsNull()) + return; + + typedef mitk::DiffusionImage DiffusionImageType; + typedef itk::DwiNormilzationFilter FilterType; + + FilterType::Pointer filter = FilterType::New(); + filter->SetInput(m_DiffusionImage->GetVectorImage()); + filter->SetGradientDirections(m_DiffusionImage->GetDirections()); + filter->Update(); + + DiffusionImageType::Pointer image = DiffusionImageType::New(); + image->SetVectorImage( filter->GetOutput() ); + image->SetReferenceBValue( m_DiffusionImage->GetReferenceBValue() ); + image->SetDirections( m_DiffusionImage->GetDirections() ); + image->InitializeFromVectorImage(); + + mitk::DataNode::Pointer imageNode = mitk::DataNode::New(); + imageNode->SetData( image ); + QString name = m_SelectedDiffusionNodes.front()->GetName().c_str(); + + imageNode->SetName((name+"_normalized").toStdString().c_str()); + GetDefaultDataStorage()->Add(imageNode); +} + void QmitkPreprocessingView::DoLengthCorrection() { if (m_DiffusionImage.IsNull()) return; typedef mitk::DiffusionImage DiffusionImageType; typedef itk::DwiGradientLengthCorrectionFilter FilterType; FilterType::Pointer filter = FilterType::New(); filter->SetRoundingValue( m_Controls->m_B_ValueMap_Rounder_SpinBox->value()); filter->SetReferenceBValue(m_DiffusionImage->GetReferenceBValue()); filter->SetReferenceGradientDirectionContainer(m_DiffusionImage->GetDirections()); filter->Update(); DiffusionImageType::Pointer image = DiffusionImageType::New(); image->SetVectorImage( m_DiffusionImage->GetVectorImage()); image->SetReferenceBValue( filter->GetNewBValue() ); image->SetDirections( filter->GetOutputGradientDirectionContainer()); image->InitializeFromVectorImage(); mitk::DataNode::Pointer imageNode = mitk::DataNode::New(); imageNode->SetData( image ); QString name = m_SelectedDiffusionNodes.front()->GetName().c_str(); imageNode->SetName((name+"_rounded").toStdString().c_str()); GetDefaultDataStorage()->Add(imageNode); } void QmitkPreprocessingView::UpdateDwiBValueMapRounder(int i) { if (m_DiffusionImage.IsNull()) return; //m_DiffusionImage->UpdateBValueMap(); UpdateBValueTableWidget(i); } void QmitkPreprocessingView::CallMultishellToSingleShellFilter(itk::DWIVoxelFunctor * functor, mitk::DiffusionImage::Pointer ImPtr, QString imageName) { typedef itk::RadialMultishellToSingleshellImageFilter FilterType; // filter input parameter const mitk::DiffusionImage::BValueMap &originalShellMap = ImPtr->GetBValueMap(); const mitk::DiffusionImage::ImageType *vectorImage = ImPtr->GetVectorImage(); const mitk::DiffusionImage::GradientDirectionContainerType::Pointer gradientContainer = ImPtr->GetDirections(); const unsigned int &bValue = ImPtr->GetReferenceBValue(); mitk::DataNode::Pointer imageNode = 0; // filter call FilterType::Pointer filter = FilterType::New(); filter->SetInput(vectorImage); filter->SetOriginalGradientDirections(gradientContainer); filter->SetOriginalBValueMap(originalShellMap); filter->SetOriginalBValue(bValue); filter->SetFunctor(functor); filter->Update(); // create new DWI image mitk::DiffusionImage::Pointer outImage = mitk::DiffusionImage::New(); outImage->SetVectorImage( filter->GetOutput() ); outImage->SetReferenceBValue( m_Controls->m_targetBValueSpinBox->value() ); outImage->SetDirections( filter->GetTargetGradientDirections() ); outImage->InitializeFromVectorImage(); imageNode = mitk::DataNode::New(); imageNode->SetData( outImage ); imageNode->SetName(imageName.toStdString().c_str()); GetDefaultDataStorage()->Add(imageNode); if(m_Controls->m_OutputRMSErrorImage->isChecked()){ // create new Error image FilterType::ErrorImageType::Pointer errImage = filter->GetErrorImage(); mitk::Image::Pointer mitkErrImage = mitk::Image::New(); mitkErrImage->InitializeByItk(errImage); mitkErrImage->SetVolume(errImage->GetBufferPointer()); imageNode = mitk::DataNode::New(); imageNode->SetData( mitkErrImage ); imageNode->SetName((imageName+"_Error").toStdString().c_str()); GetDefaultDataStorage()->Add(imageNode); } } void QmitkPreprocessingView::DoBiExpFit() { itk::BiExpFitFunctor::Pointer functor = itk::BiExpFitFunctor::New(); for (unsigned int i=0; i::Pointer inImage = dynamic_cast< mitk::DiffusionImage* >(m_SelectedDiffusionNodes.at(i)->GetData()); QString name(m_SelectedDiffusionNodes.at(i)->GetName().c_str()); const mitk::DiffusionImage::BValueMap & originalShellMap = inImage->GetBValueMap(); mitk::DiffusionImage::BValueMap::const_iterator it = originalShellMap.begin(); ++it;/* skip b=0*/ unsigned int s = 0; /*shell index */ vnl_vector bValueList(originalShellMap.size()-1); while(it != originalShellMap.end()) bValueList.put(s++,(it++)->first); const double targetBValue = m_Controls->m_targetBValueSpinBox->value(); functor->setListOfBValues(bValueList); functor->setTargetBValue(targetBValue); CallMultishellToSingleShellFilter(functor,inImage,name + "_BiExp"); } } void QmitkPreprocessingView::DoAKCFit() { itk::KurtosisFitFunctor::Pointer functor = itk::KurtosisFitFunctor::New(); for (unsigned int i=0; i::Pointer inImage = dynamic_cast< mitk::DiffusionImage* >(m_SelectedDiffusionNodes.at(i)->GetData()); QString name(m_SelectedDiffusionNodes.at(i)->GetName().c_str()); const mitk::DiffusionImage::BValueMap & originalShellMap = inImage->GetBValueMap(); mitk::DiffusionImage::BValueMap::const_iterator it = originalShellMap.begin(); ++it;/* skip b=0*/ unsigned int s = 0; /*shell index */ vnl_vector bValueList(originalShellMap.size()-1); while(it != originalShellMap.end()) bValueList.put(s++,(it++)->first); const double targetBValue = m_Controls->m_targetBValueSpinBox->value(); functor->setListOfBValues(bValueList); functor->setTargetBValue(targetBValue); CallMultishellToSingleShellFilter(functor,inImage,name + "_AKC"); } } void QmitkPreprocessingView::DoADCFit() { // later } void QmitkPreprocessingView::DoADCAverage() { itk::ADCAverageFunctor::Pointer functor = itk::ADCAverageFunctor::New(); for (unsigned int i=0; i::Pointer inImage = dynamic_cast< mitk::DiffusionImage* >(m_SelectedDiffusionNodes.at(i)->GetData()); QString name(m_SelectedDiffusionNodes.at(i)->GetName().c_str()); const mitk::DiffusionImage::BValueMap & originalShellMap = inImage->GetBValueMap(); mitk::DiffusionImage::BValueMap::const_iterator it = originalShellMap.begin(); ++it;/* skip b=0*/ unsigned int s = 0; /*shell index */ vnl_vector bValueList(originalShellMap.size()-1); while(it != originalShellMap.end()) bValueList.put(s++,(it++)->first); const double targetBValue = m_Controls->m_targetBValueSpinBox->value(); functor->setListOfBValues(bValueList); functor->setTargetBValue(targetBValue); CallMultishellToSingleShellFilter(functor,inImage,name + "_ADC"); } } void QmitkPreprocessingView::DoAdcCalculation() { if (m_DiffusionImage.IsNull()) return; typedef mitk::DiffusionImage< DiffusionPixelType > DiffusionImageType; typedef itk::AdcImageFilter< DiffusionPixelType, double > FilterType; for (unsigned int i=0; i(m_SelectedDiffusionNodes.at(i)->GetData()); FilterType::Pointer filter = FilterType::New(); filter->SetInput(inImage->GetVectorImage()); filter->SetGradientDirections(inImage->GetDirections()); filter->SetB_value(inImage->GetReferenceBValue()); filter->Update(); mitk::Image::Pointer image = mitk::Image::New(); image->InitializeByItk( filter->GetOutput() ); image->SetVolume( filter->GetOutput()->GetBufferPointer() ); mitk::DataNode::Pointer imageNode = mitk::DataNode::New(); imageNode->SetData( image ); QString name = m_SelectedDiffusionNodes.at(i)->GetName().c_str(); imageNode->SetName((name+"_ADC").toStdString().c_str()); GetDefaultDataStorage()->Add(imageNode); } } void QmitkPreprocessingView::UpdateBValueTableWidget(int i) { foreach(QCheckBox * box, m_ReduceGradientCheckboxes) { m_Controls->m_ReductionFrame->layout()->removeWidget(box); delete box; } foreach(QSpinBox * box, m_ReduceGradientSpinboxes) { m_Controls->m_ReductionFrame->layout()->removeWidget(box); delete box; } m_ReduceGradientCheckboxes.clear(); m_ReduceGradientSpinboxes.clear(); if (m_DiffusionImage.IsNull()) { m_Controls->m_B_ValueMap_TableWidget->clear(); m_Controls->m_B_ValueMap_TableWidget->setRowCount(1); QStringList headerList; headerList << "b-Value" << "Number of gradients"; m_Controls->m_B_ValueMap_TableWidget->setHorizontalHeaderLabels(headerList); m_Controls->m_B_ValueMap_TableWidget->setItem(0,0,new QTableWidgetItem("-")); m_Controls->m_B_ValueMap_TableWidget->setItem(0,1,new QTableWidgetItem("-")); }else{ typedef mitk::DiffusionImage::BValueMap BValueMap; typedef mitk::DiffusionImage::BValueMap::iterator BValueMapIterator; BValueMapIterator it; BValueMap roundedBValueMap = m_DiffusionImage->GetBValueMap(); m_Controls->m_B_ValueMap_TableWidget->clear(); m_Controls->m_B_ValueMap_TableWidget->setRowCount(roundedBValueMap.size() ); QStringList headerList; headerList << "b-Value" << "Number of gradients"; m_Controls->m_B_ValueMap_TableWidget->setHorizontalHeaderLabels(headerList); QCheckBox* checkBox; QSpinBox* spinBox; int i = 0 ; for(it = roundedBValueMap.begin() ;it != roundedBValueMap.end(); it++) { m_Controls->m_B_ValueMap_TableWidget->setItem(i,0,new QTableWidgetItem(QString::number(it->first))); m_Controls->m_B_ValueMap_TableWidget->setItem(i,1,new QTableWidgetItem(QString::number(it->second.size()))); // Reduce Gradients GUI adaption if(roundedBValueMap.size() > 1){ checkBox = new QCheckBox(QString::number(it->first) + " with " + QString::number(it->second.size()) + " directions"); checkBox->setEnabled(true); checkBox->setChecked(true); checkBox->setCheckable(true); m_ReduceGradientCheckboxes.push_back(checkBox); m_Controls->m_ReductionFrame->layout()->addWidget(checkBox); spinBox = new QSpinBox(); spinBox->setMaximum(it->second.size()); spinBox->setValue(std::ceil((float)it->second.size())); spinBox->setMinimum(0); m_ReduceGradientSpinboxes.push_back(spinBox); m_Controls->m_ReductionFrame->layout()->addWidget(spinBox); } i++; } } } void QmitkPreprocessingView::OnSelectionChanged( std::vector nodes ) { bool foundDwiVolume = false; m_DiffusionImage = NULL; m_SelectedDiffusionNodes.clear(); // iterate selection for( std::vector::iterator it = nodes.begin(); it != nodes.end(); ++it ) { mitk::DataNode::Pointer node = *it; if( node.IsNotNull() && dynamic_cast*>(node->GetData()) ) { foundDwiVolume = true; m_DiffusionImage = dynamic_cast*>(node->GetData()); m_Controls->m_DiffusionImageLabel->setText(node->GetName().c_str()); m_SelectedDiffusionNodes.push_back(node); } } m_Controls->m_ButtonAverageGradients->setEnabled(foundDwiVolume); m_Controls->m_ButtonExtractB0->setEnabled(foundDwiVolume); m_Controls->m_CheckExtractAll->setEnabled(foundDwiVolume); m_Controls->m_ModifyMeasurementFrame->setEnabled(foundDwiVolume); m_Controls->m_MeasurementFrameTable->setEnabled(foundDwiVolume); m_Controls->m_ReduceGradientsButton->setEnabled(foundDwiVolume); m_Controls->m_ShowGradientsButton->setEnabled(foundDwiVolume); m_Controls->m_MirrorGradientToHalfSphereButton->setEnabled(foundDwiVolume); m_Controls->m_MergeDwisButton->setEnabled(foundDwiVolume); m_Controls->m_B_ValueMap_Rounder_SpinBox->setEnabled(foundDwiVolume); //m_Controls->m_AdcSignalFit->setEnabled(foundDwiVolume); m_Controls->m_AdcSignalAverage->setEnabled(foundDwiVolume); m_Controls->m_AkcSignalFit->setEnabled(foundDwiVolume); m_Controls->m_BiExpSignalFit->setEnabled(foundDwiVolume); m_Controls->m_CreateLengthCorrectedDwi->setEnabled(foundDwiVolume); m_Controls->m_CalcAdcButton->setEnabled(foundDwiVolume); m_Controls->m_targetBValueSpinBox->setEnabled(foundDwiVolume); m_Controls->m_OutputRMSErrorImage->setEnabled(foundDwiVolume); + m_Controls->m_NormalizeImageValuesButton->setEnabled(foundDwiVolume); // reset sampling frame to 1 and update all ealted components m_Controls->m_B_ValueMap_Rounder_SpinBox->setValue(1); UpdateBValueTableWidget(m_Controls->m_B_ValueMap_Rounder_SpinBox->value()); if (foundDwiVolume) { m_Controls->m_InputData->setTitle("Input Data"); vnl_matrix_fixed< double, 3, 3 > mf = m_DiffusionImage->GetMeasurementFrame(); for (int r=0; r<3; r++) for (int c=0; c<3; c++) { QTableWidgetItem* item = m_Controls->m_MeasurementFrameTable->item(r,c); delete item; item = new QTableWidgetItem(); item->setTextAlignment(Qt::AlignCenter | Qt::AlignVCenter); item->setText(QString::number(mf.get(r,c))); m_Controls->m_MeasurementFrameTable->setItem(r,c,item); } //calculate target bValue for MultishellToSingleShellfilter const mitk::DiffusionImage::BValueMap & bValMap = m_DiffusionImage->GetBValueMap(); mitk::DiffusionImage::BValueMap::const_iterator it = bValMap.begin(); unsigned int targetBVal = 0; while(it != bValMap.end()) targetBVal += (it++)->first; targetBVal /= (float)bValMap.size()-1; m_Controls->m_targetBValueSpinBox->setValue(targetBVal); } else { for (int r=0; r<3; r++) for (int c=0; c<3; c++) { QTableWidgetItem* item = m_Controls->m_MeasurementFrameTable->item(r,c); delete item; item = new QTableWidgetItem(); m_Controls->m_MeasurementFrameTable->setItem(r,c,item); } m_Controls->m_DiffusionImageLabel->setText("mandatory"); m_Controls->m_InputData->setTitle("Please Select Input Data"); } } void QmitkPreprocessingView::Activated() { QmitkFunctionality::Activated(); } void QmitkPreprocessingView::Deactivated() { QmitkFunctionality::Deactivated(); } void QmitkPreprocessingView::DoHalfSphereGradientDirections() { GradientDirectionContainerType::Pointer gradientContainer = m_DiffusionImage->GetDirections(); for (unsigned int j=0; jSize(); j++) if (gradientContainer->at(j)[0]<0) gradientContainer->at(j) = -gradientContainer->at(j); m_DiffusionImage->SetDirections(gradientContainer); } void QmitkPreprocessingView::DoApplyMesurementFrame() { if (m_DiffusionImage.IsNull()) return; vnl_matrix_fixed< double, 3, 3 > mf; for (int r=0; r<3; r++) for (int c=0; c<3; c++) { QTableWidgetItem* item = m_Controls->m_MeasurementFrameTable->item(r,c); if (!item) return; mf[r][c] = item->text().toDouble(); } m_DiffusionImage->SetMeasurementFrame(mf); } void QmitkPreprocessingView::DoShowGradientDirections() { if (m_DiffusionImage.IsNull()) return; int maxIndex = 0; unsigned int maxSize = m_DiffusionImage->GetDimension(0); if (maxSizeGetDimension(1)) { maxSize = m_DiffusionImage->GetDimension(1); maxIndex = 1; } if (maxSizeGetDimension(2)) { maxSize = m_DiffusionImage->GetDimension(2); maxIndex = 2; } mitk::Point3D origin = m_DiffusionImage->GetGeometry()->GetOrigin(); mitk::PointSet::Pointer originSet = mitk::PointSet::New(); typedef mitk::DiffusionImage::BValueMap BValueMap; typedef mitk::DiffusionImage::BValueMap::iterator BValueMapIterator; BValueMap bValMap = m_DiffusionImage->GetBValueMap(); GradientDirectionContainerType::Pointer gradientContainer = m_DiffusionImage->GetDirections(); mitk::BaseGeometry::Pointer geometry = m_DiffusionImage->GetGeometry(); int shellCount = 1; for(BValueMapIterator it = bValMap.begin(); it!=bValMap.end(); ++it) { mitk::PointSet::Pointer pointset = mitk::PointSet::New(); for (unsigned int j=0; jsecond.size(); j++) { mitk::Point3D ip; vnl_vector_fixed< double, 3 > v = gradientContainer->at(it->second[j]); if (v.magnitude()>mitk::eps) { ip[0] = v[0]*maxSize*geometry->GetSpacing()[maxIndex]/2 + origin[0]-0.5*geometry->GetSpacing()[0] + geometry->GetSpacing()[0]*m_DiffusionImage->GetDimension(0)/2; ip[1] = v[1]*maxSize*geometry->GetSpacing()[maxIndex]/2 + origin[1]-0.5*geometry->GetSpacing()[1] + geometry->GetSpacing()[1]*m_DiffusionImage->GetDimension(1)/2; ip[2] = v[2]*maxSize*geometry->GetSpacing()[maxIndex]/2 + origin[2]-0.5*geometry->GetSpacing()[2] + geometry->GetSpacing()[2]*m_DiffusionImage->GetDimension(2)/2; pointset->InsertPoint(j, ip); } else if (originSet->IsEmpty()) { ip[0] = v[0]*maxSize*geometry->GetSpacing()[maxIndex]/2 + origin[0]-0.5*geometry->GetSpacing()[0] + geometry->GetSpacing()[0]*m_DiffusionImage->GetDimension(0)/2; ip[1] = v[1]*maxSize*geometry->GetSpacing()[maxIndex]/2 + origin[1]-0.5*geometry->GetSpacing()[1] + geometry->GetSpacing()[1]*m_DiffusionImage->GetDimension(1)/2; ip[2] = v[2]*maxSize*geometry->GetSpacing()[maxIndex]/2 + origin[2]-0.5*geometry->GetSpacing()[2] + geometry->GetSpacing()[2]*m_DiffusionImage->GetDimension(2)/2; originSet->InsertPoint(j, ip); } } if (it->firstSetData(pointset); QString name = m_SelectedDiffusionNodes.front()->GetName().c_str(); name += "_Shell_"; name += QString::number(it->first); node->SetName(name.toStdString().c_str()); node->SetProperty("pointsize", mitk::FloatProperty::New((float)maxSize/50)); int b0 = shellCount%2; int b1 = 0; int b2 = 0; if (shellCount>4) b2 = 1; if (shellCount%4 >= 2) b1 = 1; node->SetProperty("color", mitk::ColorProperty::New(b2, b1, b0)); GetDefaultDataStorage()->Add(node, m_SelectedDiffusionNodes.front()); shellCount++; } // add origin to datastorage mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData(originSet); QString name = m_SelectedDiffusionNodes.front()->GetName().c_str(); name += "_Origin"; node->SetName(name.toStdString().c_str()); node->SetProperty("pointsize", mitk::FloatProperty::New((float)maxSize/50)); node->SetProperty("color", mitk::ColorProperty::New(1,1,1)); GetDefaultDataStorage()->Add(node, m_SelectedDiffusionNodes.front()); } void QmitkPreprocessingView::DoReduceGradientDirections() { if (m_DiffusionImage.IsNull()) return; typedef mitk::DiffusionImage DiffusionImageType; typedef itk::ElectrostaticRepulsionDiffusionGradientReductionFilter FilterType; typedef DiffusionImageType::BValueMap BValueMap; // GetShellSelection from GUI BValueMap shellSlectionMap; BValueMap originalShellMap = m_DiffusionImage->GetBValueMap(); std::vector newNumGradientDirections; int shellCounter = 0; foreach(QCheckBox * box , m_ReduceGradientCheckboxes) { if(box->isChecked()) { double BValue = (box->text().split(' ')).at(0).toDouble(); shellSlectionMap[BValue] = originalShellMap[BValue]; newNumGradientDirections.push_back(m_ReduceGradientSpinboxes.at(shellCounter)->value()); } shellCounter++; } if (newNumGradientDirections.empty()) return; GradientDirectionContainerType::Pointer gradientContainer = m_DiffusionImage->GetDirections(); FilterType::Pointer filter = FilterType::New(); filter->SetInput(m_DiffusionImage->GetVectorImage()); filter->SetOriginalGradientDirections(gradientContainer); filter->SetNumGradientDirections(newNumGradientDirections); filter->SetOriginalBValueMap(originalShellMap); filter->SetShellSelectionBValueMap(shellSlectionMap); filter->Update(); DiffusionImageType::Pointer image = DiffusionImageType::New(); image->SetVectorImage( filter->GetOutput() ); image->SetReferenceBValue(m_DiffusionImage->GetReferenceBValue()); image->SetDirections(filter->GetGradientDirections()); image->SetMeasurementFrame(m_DiffusionImage->GetMeasurementFrame()); image->InitializeFromVectorImage(); mitk::DataNode::Pointer imageNode = mitk::DataNode::New(); imageNode->SetData( image ); QString name = m_SelectedDiffusionNodes.front()->GetName().c_str(); QList::iterator itSpinBox = m_ReduceGradientSpinboxes.begin(); QList::iterator itCheckBox = m_ReduceGradientCheckboxes.begin(); while(itSpinBox != m_ReduceGradientSpinboxes.end() && itCheckBox != m_ReduceGradientCheckboxes.end()) { name += "_"; if((*itCheckBox)->isChecked()){ name += QString::number((*itSpinBox)->value()); }else { name += QString::number(0); } ++itSpinBox; ++itCheckBox; } imageNode->SetName(name.toStdString().c_str()); GetDefaultDataStorage()->Add(imageNode); } void QmitkPreprocessingView::MergeDwis() { typedef mitk::DiffusionImage DiffusionImageType; typedef DiffusionImageType::GradientDirectionContainerType GradientContainerType; if (m_SelectedDiffusionNodes.size()<2) return; typedef itk::VectorImage DwiImageType; typedef DwiImageType::PixelType DwiPixelType; typedef DwiImageType::RegionType DwiRegionType; typedef std::vector< DwiImageType::Pointer > DwiImageContainerType; typedef std::vector< GradientContainerType::Pointer > GradientListContainerType; DwiImageContainerType imageContainer; GradientListContainerType gradientListContainer; std::vector< double > bValueContainer; QString name = m_SelectedDiffusionNodes.front()->GetName().c_str(); for (unsigned int i=0; i* >( m_SelectedDiffusionNodes.at(i)->GetData() ); if ( dwi.IsNotNull() ) { imageContainer.push_back(dwi->GetVectorImage()); gradientListContainer.push_back(dwi->GetDirections()); bValueContainer.push_back(dwi->GetReferenceBValue()); if (i>0) { name += "+"; name += m_SelectedDiffusionNodes.at(i)->GetName().c_str(); } } } typedef itk::MergeDiffusionImagesFilter FilterType; FilterType::Pointer filter = FilterType::New(); filter->SetImageVolumes(imageContainer); filter->SetGradientLists(gradientListContainer); filter->SetBValues(bValueContainer); filter->Update(); vnl_matrix_fixed< double, 3, 3 > mf; mf.set_identity(); DiffusionImageType::Pointer image = DiffusionImageType::New(); image->SetVectorImage( filter->GetOutput() ); image->SetReferenceBValue(filter->GetB_Value()); image->SetDirections(filter->GetOutputGradients()); image->SetMeasurementFrame(mf); image->InitializeFromVectorImage(); mitk::DataNode::Pointer imageNode = mitk::DataNode::New(); imageNode->SetData( image ); imageNode->SetName(name.toStdString().c_str()); GetDefaultDataStorage()->Add(imageNode); } void QmitkPreprocessingView::ExtractB0() { typedef mitk::DiffusionImage DiffusionImageType; typedef DiffusionImageType::GradientDirectionContainerType GradientContainerType; int nrFiles = m_SelectedDiffusionNodes.size(); if (!nrFiles) return; // call the extraction withou averaging if the check-box is checked if( this->m_Controls->m_CheckExtractAll->isChecked() ) { DoExtractBOWithoutAveraging(); return; } mitk::DataStorage::SetOfObjects::const_iterator itemiter( m_SelectedDiffusionNodes.begin() ); mitk::DataStorage::SetOfObjects::const_iterator itemiterend( m_SelectedDiffusionNodes.end() ); std::vector nodes; while ( itemiter != itemiterend ) // for all items { DiffusionImageType* vols = static_cast( (*itemiter)->GetData()); std::string nodename; (*itemiter)->GetStringProperty("name", nodename); // Extract image using found index typedef itk::B0ImageExtractionImageFilter FilterType; FilterType::Pointer filter = FilterType::New(); filter->SetInput(vols->GetVectorImage()); filter->SetDirections(vols->GetDirections()); filter->Update(); mitk::Image::Pointer mitkImage = mitk::Image::New(); mitkImage->InitializeByItk( filter->GetOutput() ); mitkImage->SetVolume( filter->GetOutput()->GetBufferPointer() ); mitk::DataNode::Pointer node=mitk::DataNode::New(); node->SetData( mitkImage ); node->SetProperty( "name", mitk::StringProperty::New(nodename + "_B0")); GetDefaultDataStorage()->Add(node); ++itemiter; } } void QmitkPreprocessingView::DoExtractBOWithoutAveraging() { // typedefs typedef mitk::DiffusionImage DiffusionImageType; typedef DiffusionImageType::GradientDirectionContainerType GradientContainerType; typedef itk::B0ImageExtractionToSeparateImageFilter< short, short> FilterType; // check number of selected objects, return if empty int nrFiles = m_SelectedDiffusionNodes.size(); if (!nrFiles) return; mitk::DataStorage::SetOfObjects::const_iterator itemiter( m_SelectedDiffusionNodes.begin() ); mitk::DataStorage::SetOfObjects::const_iterator itemiterend( m_SelectedDiffusionNodes.end() ); while ( itemiter != itemiterend ) // for all items { DiffusionImageType* vols = static_cast( (*itemiter)->GetData()); std::string nodename; (*itemiter)->GetStringProperty("name", nodename); // Extract image using found index FilterType::Pointer filter = FilterType::New(); filter->SetInput(vols->GetVectorImage()); filter->SetDirections(vols->GetDirections()); filter->Update(); mitk::Image::Pointer mitkImage = mitk::Image::New(); mitkImage->InitializeByItk( filter->GetOutput() ); mitkImage->SetImportChannel( filter->GetOutput()->GetBufferPointer() ); mitk::DataNode::Pointer node=mitk::DataNode::New(); node->SetData( mitkImage ); node->SetProperty( "name", mitk::StringProperty::New(nodename + "_B0_ALL")); GetDefaultDataStorage()->Add(node); /*A reinitialization is needed to access the time channels via the ImageNavigationController The Global-Geometry can not recognize the time channel without a re-init. (for a new selection in datamanger a automatically updated of the Global-Geometry should be done - if it contains the time channel)*/ mitk::RenderingManager::GetInstance()->InitializeViews(node->GetData()->GetTimeGeometry(),mitk::RenderingManager::REQUEST_UPDATE_ALL, true); ++itemiter; } } void QmitkPreprocessingView::AverageGradients() { int nrFiles = m_SelectedDiffusionNodes.size(); if (!nrFiles) return; mitk::DataStorage::SetOfObjects::const_iterator itemiter( m_SelectedDiffusionNodes.begin() ); mitk::DataStorage::SetOfObjects::const_iterator itemiterend( m_SelectedDiffusionNodes.end() ); std::vector nodes; while ( itemiter != itemiterend ) // for all items { mitk::DiffusionImage* vols = static_cast*>( (*itemiter)->GetData()); vols->AverageRedundantGradients(m_Controls->m_Blur->value()); ++itemiter; } } diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkPreprocessingView.h b/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkPreprocessingView.h index c091b4d9b4..c47116f8e3 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkPreprocessingView.h +++ b/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkPreprocessingView.h @@ -1,121 +1,122 @@ /*=================================================================== 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 _QMITKPREPROCESSINGVIEW_H_INCLUDED #define _QMITKPREPROCESSINGVIEW_H_INCLUDED #include #include #include "ui_QmitkPreprocessingViewControls.h" #include "itkDWIVoxelFunctor.h" #include "mitkDiffusionImage.h" typedef short DiffusionPixelType; struct PrpSelListener; /*! * \ingroup org_mitk_gui_qt_preprocessing_internal * * \brief QmitkPreprocessingView * * Document your class here. * * \sa QmitkFunctionality */ class QmitkPreprocessingView : public QmitkFunctionality { friend struct PrpSelListener; // this is needed for all Qt objects that should have a MOC object (everything that derives from QObject) Q_OBJECT public: static const std::string VIEW_ID; typedef vnl_vector_fixed< double, 3 > GradientDirectionType; typedef itk::VectorContainer< unsigned int, GradientDirectionType > GradientDirectionContainerType; QmitkPreprocessingView(); virtual ~QmitkPreprocessingView(); virtual void CreateQtPartControl(QWidget *parent); /// \brief Creation of the connections of main and control widget virtual void CreateConnections(); /// \brief Called when the functionality is activated virtual void Activated(); virtual void Deactivated(); virtual void StdMultiWidgetAvailable (QmitkStdMultiWidget &stdMultiWidget); virtual void StdMultiWidgetNotAvailable(); static const int nrconvkernels; protected slots: void AverageGradients(); void ExtractB0(); void MergeDwis(); void DoApplyMesurementFrame(); void DoReduceGradientDirections(); void DoShowGradientDirections(); void DoHalfSphereGradientDirections(); void DoADCAverage(); void DoADCFit(); void DoAKCFit(); void DoBiExpFit(); void UpdateDwiBValueMapRounder(int i); void DoLengthCorrection(); void DoAdcCalculation(); + void DoDwiNormalization(); protected: /** Called by ExtractB0 if check-box activated, extracts all b0 images without averaging */ void DoExtractBOWithoutAveraging(); void UpdateBValueTableWidget(int i); /// \brief called by QmitkFunctionality when DataManager's selection has changed virtual void OnSelectionChanged( std::vector nodes ); Ui::QmitkPreprocessingViewControls* m_Controls; QmitkStdMultiWidget* m_MultiWidget; void SetDefaultNodeProperties(mitk::DataNode::Pointer node, std::string name); mitk::DiffusionImage::Pointer m_DiffusionImage; std::vector< mitk::DataNode::Pointer > m_SelectedDiffusionNodes; QList m_ReduceGradientCheckboxes; QList m_ReduceGradientSpinboxes; void CallMultishellToSingleShellFilter(itk::DWIVoxelFunctor * functor, mitk::DiffusionImage::Pointer ImPtr, QString imageName); }; #endif // _QMITKPREPROCESSINGVIEW_H_INCLUDED diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkPreprocessingViewControls.ui b/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkPreprocessingViewControls.ui index 0e01a927db..1385ca7647 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkPreprocessingViewControls.ui +++ b/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkPreprocessingViewControls.ui @@ -1,692 +1,729 @@ QmitkPreprocessingViewControls 0 0 892 - 1351 + 1355 0 0 false QmitkPreprocessingViewControls true Please Select Input Data Raw DWI: <html><head/><body><p><span style=" color:#ff0000;">mandatory</span></p></body></html> true 0 0 Info 0 0 Qt::ScrollBarAsNeeded Qt::ScrollBarAlwaysOff true 100 true false true b-Value Number of gradients false Round b-value Qt::Horizontal Qt::Horizontal Qt::Horizontal false 100000 false <html><head/><body><p>Create a new Diffusion Weighted Image (DWI) using an ADC average over all q-shells.</p></body></html> ADC Signal Average false AKC Signal Fit false Bi-Exponential Signal Fit <html><head/><body><p>Define the sampling frame the b-Values are rounded with.</p></body></html> Sampling frame: false <html><head/><body><p>Round b-values to nearest multiple of this value (click &quot;Round b-value&quot; to create new image with these values).</p></body></html> QAbstractSpinBox::CorrectToNearestValue 1 10000 10 false Generate pointset displaying the gradient vectors (applied measurement frame). Show gradients false Output RMS-Error Image Non diffusion weighted image 0 30 Average and extract all images that were acquired without diffusion weighting. true false If multiple baseline acquisitions are present, the default behaviour is to output an averaged image. Extract B0 Create a 3D+t data set containing all b0 images as timesteps Extract all B0 images without averaging false If multiple baseline acquisitions are present, the default behaviour is to output an averaged image. Calculate ADC map Modify DWI QFrame::NoFrame QFrame::Raised - + + 0 + + + 0 + + + 0 + + 0 Accumulates the information that was acquired with multiple repetitions for one gradient. Vectors do not have to be precisely equal in order to be merged, if a "Merge radius" > 0 is configured. Accumulates the information that was acquired with multiple repetitions for one gradient. Vectors do not have to be precisely equal in order to be merged, if a "Merge radius" > 0 is configured. Accumulates the information that was acquired with multiple repetitions for one gradient. Vectors do not have to be precisely equal in order to be merged, if a "Merge radius" > 0 is configured. 6 2.000000000000000 0.000100000000000 0.001000000000000 Accumulates the information that was acquired with multiple repetitions for one gradient. Vectors do not have to be precisely equal in order to be merged, if a "Merge radius" > 0 is configured. Accumulates the information that was acquired with multiple repetitions for one gradient. Vectors do not have to be precisely equal in order to be merged, if a "Merge radius" > 0 is configured. Accumulates the information that was acquired with multiple repetitions for one gradient. Vectors do not have to be precisely equal in order to be merged, if a "Merge radius" > 0 is configured. Merge radius false Multiple acquistions of one gradient direction can be averaged. Due to rounding errors, similar gradients often differ in the last decimal positions. The Merge radius allows to average them by taking all directions within a certain radius into account. Average redundant gradients Qt::Horizontal QFrame::NoFrame QFrame::Raised - + + 0 + + + 0 + + + 0 + + 0 9 Specify desired number of gradients per shell: Qt::Horizontal 40 20 false Retain only the specified number of gradient directions and according image volumes. The retained directions are spread equally over the half sphere using an iterative energy repulsion strategy. Reduce number of gradients Qt::Horizontal false Sometimes the gradient directions are not located on one half sphere. Mirror gradients to half sphere + + + + false + + + Each image value is normalized with the corresponding basleine signal value. + + + + + + + + + Normalize image values + + + Merge selected images false Merges selected DWIs of same dimension. If several b-values are present, the resulting image will contain multiple b-shells. Merge selected DWIs 0 0 Measurment frame Qt::Horizontal 40 20 false 0 0 0 0 IBeamCursor true Qt::ScrollBarAlwaysOff Qt::ScrollBarAlwaysOff true false false true true 0 false true true New Row New Row New Row New Column New Column New Column false Apply new measurement frame Qt::Vertical 20 40