diff --git a/Modules/DiffusionImaging/Connectomics/Algorithms/mitkConnectomicsHistogramCache.cpp b/Modules/DiffusionImaging/Connectomics/Algorithms/mitkConnectomicsHistogramCache.cpp index 2e2f5ecc21..d553cb791a 100644 --- a/Modules/DiffusionImaging/Connectomics/Algorithms/mitkConnectomicsHistogramCache.cpp +++ b/Modules/DiffusionImaging/Connectomics/Algorithms/mitkConnectomicsHistogramCache.cpp @@ -1,95 +1,95 @@ /*=================================================================== 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 "mitkConnectomicsHistogramCache.h" mitk::ConnectomicsHistogramCache::ConnectomicsHistogramCache() { } mitk::ConnectomicsHistogramCache::~ConnectomicsHistogramCache() { } mitk::ConnectomicsHistogramsContainer * mitk::ConnectomicsHistogramCache::operator[]( mitk::ConnectomicsNetwork::Pointer sp_NetworkData ) { BaseData *p_BaseData = dynamic_cast< BaseData* >( sp_NetworkData.GetPointer() ); if(!p_BaseData) { MITK_WARN << "ConnectomicsHistogramCache::operator[] with null connectomics network data called"; return nullptr; } ConnectomicsHistogramsCacheElement *elementToUpdate = nullptr; bool first( true ); bool found( false ); for(auto iter = cache.begin(); iter != cache.end(); iter++) { ConnectomicsHistogramsCacheElement *e = dynamic_cast(*iter); - BaseData *p_tmp = e->baseData.GetPointer(); + BaseData *p_tmp = e->baseData.Lock(); if(p_tmp == p_BaseData) { if(!first) { cache.erase(iter); cache.push_front(e); } if( p_BaseData->GetMTime() > e->m_LastUpdateTime.GetMTime()) { // found but needs an update found = true; elementToUpdate = e; break; } // found but no update needed return dynamic_cast( e->GetHistograms() ); } first = false; } if( !found ) { if (dynamic_cast(p_BaseData)) { elementToUpdate = new ConnectomicsHistogramsCacheElement(); } else { MITK_WARN << "not supported: " << p_BaseData->GetNameOfClass(); return nullptr; } elementToUpdate->baseData = p_BaseData; cache.push_front(elementToUpdate); TrimCache(); } if(elementToUpdate) { elementToUpdate->ComputeFromBaseData(p_BaseData); elementToUpdate->m_LastUpdateTime.Modified(); return dynamic_cast( elementToUpdate->GetHistograms() ); } return nullptr; } diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/internal/QmitkFieldmapGeneratorViewControls.ui b/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/internal/QmitkFieldmapGeneratorViewControls.ui index f700a16e71..d665a134da 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/internal/QmitkFieldmapGeneratorViewControls.ui +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.fiberfox/src/internal/QmitkFieldmapGeneratorViewControls.ui @@ -1,299 +1,353 @@ QmitkFieldmapGeneratorViewControls 0 0 348 - 498 + 511 0 0 QmitkTemplate 6 - + + 9 + + + 9 + + + 9 + + 9 Please Select Reference Image + + 0 + + + 0 + + + 0 + + + 0 + QFrame::NoFrame QFrame::Raised - + + 0 + + + 0 + + + 0 + + 0 World Coordinates: - Index: - Place Field Source Generate Fieldmap Add Gradient + + 0 + + + 0 + + + 0 + + + 0 + Gradient x: z: 4 -1000.000000000000000 1000.000000000000000 4 -1000.000000000000000 1000.000000000000000 y: 4 -1000.000000000000000 1000.000000000000000 Offset 4 -1000.000000000000000 1000.000000000000000 4 -1000.000000000000000 1000.000000000000000 4 -1000.000000000000000 1000.000000000000000 Edit Selected Source + + 0 + + + 0 + + + 0 + + + 0 + Name: Height: Variance: - 999999.000000000000000 999999.000000000000000 Qt::Vertical QSizePolicy::Expanding 20 220 QmitkDataStorageComboBox QComboBox
QmitkDataStorageComboBox.h
 diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.odfpeaks/src/internal/QmitkOdfMaximaExtractionViewControls.ui b/Plugins/org.mitk.gui.qt.diffusionimaging.odfpeaks/src/internal/QmitkOdfMaximaExtractionViewControls.ui index 9d4c7b0bf6..120ad88742 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.odfpeaks/src/internal/QmitkOdfMaximaExtractionViewControls.ui +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.odfpeaks/src/internal/QmitkOdfMaximaExtractionViewControls.ui @@ -1,387 +1,435 @@ QmitkOdfMaximaExtractionViewControls 0 0 397 848 Form true Generate ODF image and MITK compatible SH coefficient from other toolkits. Start SH Coefficient Import Qt::Vertical 20 259 Additional Output QFormLayout::AllNonFixedFieldsGrow + + 0 + + + 0 + + + 0 + + + 0 + Output unsigned char image containing the number of directions per voxel. #Peaks per Voxel false Parameters + + 0 + + + 0 + + + 0 + + + 0 + QFrame::NoFrame QFrame::Raised 0 0 0 0 6 Vector Normalization: <html><head/><body><p>The vector fields are always coorected for image spacing and using the lagest eigenvalue in case of the tensor peak extraction. This is done for visualizytion purposes. The output direction images are not affected.</p></body></html> 1 No Normalization MAX Normalize Single Vec Normalization true QFrame::NoFrame QFrame::Raised 0 0 0 0 6 true Max. Peaks: Relative Threshold: true Peak threshold relative to the largest peak per voxel. 3 0.000000000000000 1.000000000000000 0.100000000000000 0.500000000000000 true Absolute peak threshold (only used for the finite differences method). The value is additionally scaled by 1/GFA. 3 0.000000000000000 1.000000000000000 0.010000000000000 0.030000000000000 true Maximum number of peaks to extract. 1 1000 3 Clustering Angle: Cluster close directions. Define "close" here. 90 30 Absolute Threshold: Angular Threshold: Discard smaller peaks in the defined angle around the maximum peaks that were too far away to be clustered. 0 90 0 Please Select Input Data + + 0 + + + 0 + + + 0 + + + 0 + Select a tensor image or a SH coefficient image (generate using Q-Ball reconstruction view). ShCoeff/DTI: Mask Image: true Extract ODF peaks using finite differences on the densely sampled ODF surface. Start Peak Extraction Spherical Harmonic Convention + + 0 + + + 0 + + + 0 + + + 0 + Define SH coefficient convention (depends on toolkit) 0 MITK/FSL MRtrix QmitkDataStorageComboBoxWithSelectNone QComboBox -
QmitkDataStorageComboBoxWithSelectNone.h
+
QmitkDataStorageComboBoxWithSelectNone.h
 diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.preprocessing/src/internal/QmitkPreprocessingViewControls.ui b/Plugins/org.mitk.gui.qt.diffusionimaging.preprocessing/src/internal/QmitkPreprocessingViewControls.ui index 649d6a58ae..537943f4cd 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.preprocessing/src/internal/QmitkPreprocessingViewControls.ui +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.preprocessing/src/internal/QmitkPreprocessingViewControls.ui @@ -1,1705 +1,1717 @@ QmitkPreprocessingViewControls 0 0 503 - 747 + 812 0 0 false QmitkPreprocessingViewControls true Please Select Input Data + + 0 + + + 0 + + + 0 + + + 0 + Image: QComboBox::AdjustToMinimumContentsLength 0 Gradients Qt::Vertical 20 40 0 0 Qt::ScrollBarAsNeeded Qt::ScrollBarAlwaysOff true 100 true false true b-Value Number of gradients QFrame::NoFrame QFrame::Raised 0 0 0 0 6 <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 Sometimes the gradient directions are not located on one half sphere. Mirror gradients to half sphere false Generate pointset displaying the gradient vectors (applied measurement frame). Show gradients false Generate pointset displaying the gradient vectors (applied measurement frame). Flip gradients 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 QFrame::NoFrame QFrame::Plain 0 0 0 0 0 x y z false Round b-values false By default, the image matrix is applied to the image gradients. This button removes this additional rotation. Clear rotation of gradients Remove or extract gradient volumes 6 6 0 0 0 0 false Remove gradient volume false Extract gradient volume Image Values Qt::Vertical 20 40 QFrame::NoFrame QFrame::Raised 0 0 0 0 0 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 Merges selected DWIs of same dimension. If several b-values are present, the resulting image will contain multiple b-shells. Merge selected DWIs false Normalizes the diffusion-weighted image values across all weighted volumes to the given mean and standard deviation. Normalize image values QFrame::NoFrame QFrame::Raised 0 0 0 0 0 false Target b-value 100000 500 Select projection method. QComboBox::AdjustToMinimumContentsLength ADC Average AKC Bi-Exponential 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 repetitions false Project image values onto one b-shell. Project onto shell QFrame::NoFrame QFrame::Raised 0 0 0 0 0 true New stdev 100000 100 500 Select binary mask image. The mask is used to calculate the old mean and standard deviation. QComboBox::AdjustToMinimumContentsLength true New mean value 100000 100 1000 false Merges selected DWIs of same dimension. If several b-values are present, the resulting image will contain multiple b-shells. Flip axis QFrame::NoFrame QFrame::Raised 0 0 0 0 Y Qt::Horizontal 40 20 X Z Axis: QComboBox::AdjustToMinimumContentsLength Resample image 0 0 0 0 6 QFrame::NoFrame QFrame::Raised 0 0 0 0 0 0.010000000000000 2.000000000000000 0.010000000000000 2.000000000000000 0.010000000000000 2.000000000000000 Sampling factor New image spacing New image size QFrame::NoFrame QFrame::Raised 0 0 0 0 0 Interpolator: Nearest neighbour Linear B-spline Windowed sinc false Resample image QFrame::NoFrame QFrame::Raised 0 0 0 0 0 1 10000 1 10000 1 10000 Crop Image 0 0 0 0 6 x: y: z: Crop Image Header Voxel size 0 0 0 0 4 0.000000000000000 99.989999999999995 4 4 false Apply new header information Direction matrix 0 0 0 0 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 Qt::Horizontal 40 20 0 0 Measurment frame 0 0 0 0 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 Qt::Horizontal 40 20 Qt::Vertical 20 40 Origin 0 0 0 0 4 -999999999.000000000000000 999999999.000000000000000 4 -99999999.000000000000000 999999999.000000000000000 4 -999999999.000000000000000 999999999.000000000000000 Align origins 0 0 0 0 QComboBox::AdjustToMinimumContentsLength Align to Other false If multiple baseline acquisitions are present, the default behaviour is to output an averaged image. Estimate binary brain mask Maximum number of iterations. 10000 10000 Qt::Vertical 20 40 false If multiple baseline acquisitions are present, the default behaviour is to output an averaged image. Extract baseline image Create a 3D+t data set containing all b0 images as timesteps Disable averaging - QmitkDataStorageComboBoxWithSelectNone + QmitkDataStorageComboBox QComboBox -
QmitkDataStorageComboBoxWithSelectNone.h
+
QmitkDataStorageComboBox.h
 - QmitkDataStorageComboBox + QmitkDataStorageComboBoxWithSelectNone QComboBox -
QmitkDataStorageComboBox.h
+
QmitkDataStorageComboBoxWithSelectNone.h
 m_SelctedImageComboBox tabWidget m_B_ValueMap_TableWidget m_CreateLengthCorrectedDwi m_B_ValueMap_Rounder_SpinBox m_FlipGradientsButton m_FlipGradBoxX m_FlipGradBoxY m_FlipGradBoxZ m_ShowGradientsButton m_MirrorGradientToHalfSphereButton m_ReduceGradientsButton m_ClearRotationButton m_RemoveGradientButton m_RemoveGradientBox m_ExtractGradientButton m_ExtractGradientBox m_ButtonAverageGradients m_Blur m_ProjectSignalButton m_targetBValueSpinBox m_ProjectionMethodBox m_NormalizeImageValuesButton m_NewMean m_NewStdev m_NormalizationMaskBox m_FlipAxis m_FlipX m_FlipY m_FlipZ m_MergeDwisButton m_MergeDwiBox m_ResampleTypeBox m_ResampleDoubleX m_ResampleDoubleY m_ResampleDoubleZ m_ResampleIntX m_ResampleIntY m_ResampleIntZ m_InterpolatorBox m_ResampleImageButton m_XstartBox m_XendBox m_YstartBox m_YendBox m_ZstartBox m_ZendBox m_CropImageButton m_ModifyHeader m_HeaderOriginX m_HeaderOriginY m_HeaderOriginZ m_HeaderSpacingX m_HeaderSpacingY m_HeaderSpacingZ m_DirectionMatrixTable m_MeasurementFrameTable m_ButtonExtractB0 m_CheckExtractAll m_ExtractBrainMask m_BrainMaskIterationsBox diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkDiffusionQuantificationViewControls.ui b/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkDiffusionQuantificationViewControls.ui index b4b81280c6..0201599bbd 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkDiffusionQuantificationViewControls.ui +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkDiffusionQuantificationViewControls.ui @@ -1,379 +1,427 @@ QmitkDiffusionQuantificationViewControls 0 0 343 888 0 0 QmitkTemplate Please Select Input Data - - - - Image - - - + + 0 + + + 0 + + + 0 + + + 0 + <html><head/><body><p><span style=" color:#ff0000;">mandatory</span></p></body></html> true - - - - - - - General Parameters - - + + + Image + + + + Scale Image Values: - + 9999999.000000000000000 1.000000000000000 Raw diffusion-weighted image + + 0 + + + 0 + + + 0 + + + 0 + + + 0 + false ADC false MD false Ball-Stick false Multi-Tensor Fit ODF image + + 0 + + + 0 + + + 0 + + + 0 + + + 0 + QFrame::NoFrame QFrame::Raised 0 0 0 0 Generalized GFA QFrame::NoFrame QFrame::Raised 0 0 0 0 true k true true p true false GFA QFrame::NoFrame QFrame::Raised 0 0 0 0 Min. angle Max. angle false Curvature Tensor image + + 0 + + + 0 + + + 0 + + + 0 + + + 0 + false FA (Fractional Anisotropy) false RA (Relative Anisotropy) false AD (Axial Diffusivity) false RD (Radial Diffusivity) false MD (Mean Diffusivity) false 1-(λ2+λ3)/(2*λ1) Qt::Vertical QSizePolicy::Expanding 20 220 QmitkDataStorageComboBox.h diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkODFDetailsViewControls.ui b/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkODFDetailsViewControls.ui index ed6dcca8fe..fed72657a7 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkODFDetailsViewControls.ui +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkODFDetailsViewControls.ui @@ -1,226 +1,250 @@ QmitkODFDetailsViewControls 0 0 351 734 0 0 QmitkTemplate 6 9 9 9 9 Please Select Input Data + + 0 + + + 0 + + + 0 + + + 0 + DTI/ODF: <html><head/><body><p><span style=" color:#ff0000;">mandatory</span></p></body></html> true Overview 0 - 9 + 0 0 0 0 0 0 0 true 0 0 200 200 0 0 0 0 QFrame::NoFrame QFrame::Raised 0 0 0 0 0 ODF Values + + 0 + + + 0 + + + 0 + + + 0 + true 0 0 0 200 Qt::Vertical QSizePolicy::Expanding 20 220 QmitkODFDetailsWidget QWidget
QmitkODFDetailsWidget.h
1 QmitkODFRenderWidget QWidget
QmitkODFRenderWidget.h
1 diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkQBallReconstructionView.cpp b/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkQBallReconstructionView.cpp index 248b864050..a62758b0e0 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkQBallReconstructionView.cpp +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkQBallReconstructionView.cpp @@ -1,1119 +1,1099 @@ /*=================================================================== 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 "QmitkQBallReconstructionView.h" // qt includes #include // itk includes #include "itkTimeProbe.h" // mitk includes #include "mitkProgressBar.h" #include "mitkStatusBar.h" #include "mitkNodePredicateDataType.h" #include "QmitkDataStorageComboBox.h" #include "itkDiffusionQballReconstructionImageFilter.h" #include "itkAnalyticalDiffusionQballReconstructionImageFilter.h" #include "itkDiffusionMultiShellQballReconstructionImageFilter.h" #include "itkVectorContainer.h" #include "itkB0ImageExtractionImageFilter.h" #include #include "mitkOdfImage.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 "mitkDiffusionImagingConfigure.h" #include "berryIStructuredSelection.h" #include "berryIWorkbenchWindow.h" #include "berryISelectionService.h" #include const std::string QmitkQBallReconstructionView::VIEW_ID = "org.mitk.views.qballreconstruction"; typedef float TTensorPixelType; const int QmitkQBallReconstructionView::nrconvkernels = 252; struct QbrShellSelection { typedef mitk::DiffusionPropertyHelper::GradientDirectionType GradientDirectionType; typedef mitk::DiffusionPropertyHelper::GradientDirectionsContainerType GradientDirectionContainerType; typedef mitk::DiffusionPropertyHelper::BValueMapType BValueMapType; typedef itk::VectorImage< DiffusionPixelType, 3 > ITKDiffusionImageType; QmitkQBallReconstructionView* m_View; mitk::DataNode * m_Node; std::string m_NodeName; std::vector m_CheckBoxes; QLabel * m_Label; mitk::Image * m_Image; QbrShellSelection(QmitkQBallReconstructionView* view, mitk::DataNode * node) : m_View(view), m_Node(node), m_NodeName(node->GetName()) { m_Image = dynamic_cast (node->GetData()); if(!m_Image) { MITK_ERROR << "QmitkQBallReconstructionView::QbrShellSelection : no image selected"; return; } bool isDiffusionImage( mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( dynamic_cast(m_Node->GetData())) ); if( !isDiffusionImage ) { MITK_ERROR << "QmitkQBallReconstructionView::QbrShellSelection : selected image contains no diffusion information"; return; } GenerateCheckboxes(); } void GenerateCheckboxes() { BValueMapType origMap = static_cast(m_Image->GetProperty(mitk::DiffusionPropertyHelper::BVALUEMAPPROPERTYNAME.c_str()).GetPointer() )->GetBValueMap(); BValueMapType::iterator itStart = origMap.begin(); itStart++; BValueMapType::iterator itEnd = origMap.end(); m_Label = new QLabel(m_NodeName.c_str()); m_Label->setVisible(true); m_View->m_Controls->m_QBallSelectionBox->layout()->addWidget(m_Label); for(BValueMapType::iterator it = itStart ; it!= itEnd; it++) { QCheckBox * box = new QCheckBox(QString::number(it->first)); m_View->m_Controls->m_QBallSelectionBox->layout()->addWidget(box); box->setChecked(true); box->setCheckable(true); // box->setVisible(true); m_CheckBoxes.push_back(box); } } void SetVisible(bool vis) { foreach(QCheckBox * box, m_CheckBoxes) { box->setVisible(vis); } } BValueMapType GetBValueSelctionMap() { BValueMapType inputMap = static_cast(m_Image->GetProperty(mitk::DiffusionPropertyHelper::BVALUEMAPPROPERTYNAME.c_str()).GetPointer() )->GetBValueMap(); BValueMapType outputMap; unsigned int val = 0; if(inputMap.find(0) == inputMap.end()){ MITK_INFO << "QbrShellSelection: return empty BValueMap from GUI Selection"; return outputMap; }else{ outputMap[val] = inputMap[val]; MITK_INFO << val; } foreach(QCheckBox * box, m_CheckBoxes) { if(box->isChecked()){ val = box->text().toDouble(); outputMap[val] = inputMap[val]; MITK_INFO << val; } } return outputMap; } ~QbrShellSelection() { m_View->m_Controls->m_QBallSelectionBox->layout()->removeWidget(m_Label); delete m_Label; for(std::vector::iterator it = m_CheckBoxes.begin() ; it!= m_CheckBoxes.end(); it++) { m_View->m_Controls->m_QBallSelectionBox->layout()->removeWidget((*it)); delete (*it); } m_CheckBoxes.clear(); } }; using namespace berry; struct QbrSelListener : ISelectionListener { QbrSelListener(QmitkQBallReconstructionView* view) { m_View = view; } void DoSelectionChanged(ISelection::ConstPointer selection) { // save current selection in member variable m_View->m_CurrentSelection = selection.Cast(); // do something with the selected items if(m_View->m_CurrentSelection) { bool foundDwiVolume = false; m_View->m_Controls->m_DiffusionImageLabel->setText("mandatory"); m_View->m_Controls->m_InputData->setTitle("Please Select Input Data"); QString selected_images = ""; mitk::DataStorage::SetOfObjects::Pointer set = mitk::DataStorage::SetOfObjects::New(); int at = 0; // iterate selection for (IStructuredSelection::iterator i = m_View->m_CurrentSelection->Begin(); i != m_View->m_CurrentSelection->End(); ++i) { // extract datatree node if (mitk::DataNodeObject::Pointer nodeObj = i->Cast()) { mitk::DataNode::Pointer node = nodeObj->GetDataNode(); bool isDiffusionImage( mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( dynamic_cast(node->GetData())) ); mitk::Image* diffusionImage = dynamic_cast(node->GetData()); // only look at interesting types if(diffusionImage && isDiffusionImage) { foundDwiVolume = true; selected_images += QString(node->GetName().c_str()); if(i + 1 != m_View->m_CurrentSelection->End()) selected_images += "\n"; set->InsertElement(at++, node); } } } m_View->GenerateShellSelectionUI(set); m_View->m_Controls->m_DiffusionImageLabel->setText(selected_images); m_View->m_Controls->m_ButtonStandard->setEnabled(foundDwiVolume); if (foundDwiVolume) m_View->m_Controls->m_InputData->setTitle("Input Data"); else m_View->m_Controls->m_DiffusionImageLabel->setText("mandatory"); } } void SelectionChanged(const IWorkbenchPart::Pointer& part, const ISelection::ConstPointer& selection) override { // check, if selection comes from datamanager if (part) { QString partname = part->GetPartName(); if(partname == "Data Manager") { // apply selection DoSelectionChanged(selection); } } } QmitkQBallReconstructionView* m_View; }; // --------------- QmitkQBallReconstructionView----------------- // QmitkQBallReconstructionView::QmitkQBallReconstructionView() : QmitkAbstractView(), m_Controls(nullptr) { } QmitkQBallReconstructionView::~QmitkQBallReconstructionView() { this->GetSite()->GetWorkbenchWindow()->GetSelectionService()->RemovePostSelectionListener(/*"org.mitk.views.datamanager",*/ m_SelListener.data()); } void QmitkQBallReconstructionView::CreateQtPartControl(QWidget *parent) { if (!m_Controls) { // create GUI widgets m_Controls = new Ui::QmitkQBallReconstructionViewControls; m_Controls->setupUi(parent); this->CreateConnections(); m_Controls->m_DiffusionImageLabel->setText("mandatory"); QStringList items; items << "2" << "4" << "6" << "8" << "10" << "12"; m_Controls->m_QBallReconstructionMaxLLevelComboBox->addItems(items); m_Controls->m_QBallReconstructionMaxLLevelComboBox->setCurrentIndex(1); MethodChoosen(m_Controls->m_QBallReconstructionMethodComboBox->currentIndex()); #ifndef DIFFUSION_IMAGING_EXTENDED m_Controls->m_QBallReconstructionMethodComboBox->removeItem(3); #endif - AdvancedCheckboxClicked(); } m_SelListener.reset(new QbrSelListener(this)); this->GetSite()->GetWorkbenchWindow()->GetSelectionService()->AddPostSelectionListener(/*"org.mitk.views.datamanager",*/ m_SelListener.data()); berry::ISelection::ConstPointer sel( this->GetSite()->GetWorkbenchWindow()->GetSelectionService()->GetSelection("org.mitk.views.datamanager")); m_CurrentSelection = sel.Cast(); static_cast(m_SelListener.data())->DoSelectionChanged(sel); } void QmitkQBallReconstructionView::SetFocus() { - m_Controls->m_AdvancedCheckbox->setFocus(); } void QmitkQBallReconstructionView::CreateConnections() { if ( m_Controls ) { connect( (QObject*)(m_Controls->m_ButtonStandard), SIGNAL(clicked()), this, SLOT(ReconstructStandard()) ); - connect( (QObject*)(m_Controls->m_AdvancedCheckbox), SIGNAL(clicked()), this, SLOT(AdvancedCheckboxClicked()) ); connect( (QObject*)(m_Controls->m_QBallReconstructionMethodComboBox), SIGNAL(currentIndexChanged(int)), this, SLOT(MethodChoosen(int)) ); connect( (QObject*)(m_Controls->m_QBallReconstructionThreasholdEdit), SIGNAL(valueChanged(int)), this, SLOT(PreviewThreshold(int)) ); } } void QmitkQBallReconstructionView::OnSelectionChanged(berry::IWorkbenchPart::Pointer /*part*/, const QList& /*nodes*/) { } void QmitkQBallReconstructionView::Activated() { berry::ISelection::ConstPointer sel( this->GetSite()->GetWorkbenchWindow()->GetSelectionService()->GetSelection("org.mitk.views.datamanager")); m_CurrentSelection = sel.Cast(); static_cast(m_SelListener.data())->DoSelectionChanged(sel); } void QmitkQBallReconstructionView::Deactivated() { mitk::DataStorage::SetOfObjects::ConstPointer objects = this->GetDataStorage()->GetAll(); mitk::DataStorage::SetOfObjects::const_iterator itemiter( objects->begin() ); mitk::DataStorage::SetOfObjects::const_iterator itemiterend( objects->end() ); while ( itemiter != itemiterend ) // for all items { mitk::DataNode::Pointer node = *itemiter; if (node.IsNull()) continue; // only look at interesting types bool isDiffusionImage( mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( dynamic_cast(node->GetData())) ); if( isDiffusionImage ) { if (this->GetDataStorage()->GetNamedDerivedNode("ThresholdOverlay", *itemiter)) { node = this->GetDataStorage()->GetNamedDerivedNode("ThresholdOverlay", *itemiter); this->GetDataStorage()->Remove(node); } } itemiter++; } mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } void QmitkQBallReconstructionView::Visible() { } void QmitkQBallReconstructionView::Hidden() { } void QmitkQBallReconstructionView::ReconstructStandard() { int index = m_Controls->m_QBallReconstructionMethodComboBox->currentIndex(); #ifndef DIFFUSION_IMAGING_EXTENDED if(index>=3) { index = index + 1; } #endif switch(index) { case 0: { // Numerical Reconstruct(0,0); break; } case 1: { // Standard Reconstruct(1,0); break; } case 2: { // Solid Angle Reconstruct(1,6); break; } case 3: { // Constrained Solid Angle Reconstruct(1,7); break; } case 4: { // ADC Reconstruct(1,4); break; } case 5: { // Raw Signal Reconstruct(1,5); break; } case 6: { // Q-Ball reconstruction Reconstruct(2,0); break; } } } void QmitkQBallReconstructionView::MethodChoosen(int method) { #ifndef DIFFUSION_IMAGING_EXTENDED if(method>=3) { method = method + 1; } #endif m_Controls->m_QBallSelectionBox->setHidden(true); m_Controls->m_OutputCoeffsImage->setHidden(true); if (method==0) m_Controls->m_ShFrame->setVisible(false); else m_Controls->m_ShFrame->setVisible(true); switch(method) { case 0: m_Controls->m_Description->setText("Numerical recon. (Tuch 2004)"); break; case 1: m_Controls->m_Description->setText("Spherical harmonics recon. (Descoteaux 2007)"); m_Controls->m_OutputCoeffsImage->setHidden(false); break; case 2: m_Controls->m_Description->setText("SH recon. with solid angle consideration (Aganj 2009)"); m_Controls->m_OutputCoeffsImage->setHidden(false); break; case 3: m_Controls->m_Description->setText("SH solid angle with non-neg. constraint (Goh 2009)"); m_Controls->m_OutputCoeffsImage->setHidden(false); break; case 4: m_Controls->m_Description->setText("SH recon. of the plain ADC-profiles"); m_Controls->m_OutputCoeffsImage->setHidden(false); break; case 5: m_Controls->m_Description->setText("SH recon. of the raw diffusion signal"); m_Controls->m_OutputCoeffsImage->setHidden(false); break; case 6: m_Controls->m_Description->setText("SH recon. of the multi shell diffusion signal (Aganj 2010)"); m_Controls->m_QBallSelectionBox->setHidden(false); m_Controls->m_OutputCoeffsImage->setHidden(false); break; } } - - -void QmitkQBallReconstructionView::AdvancedCheckboxClicked() -{ - bool check = m_Controls->m_AdvancedCheckbox->isChecked(); - - m_Controls->m_QBallReconstructionMaxLLevelTextLabel_2->setVisible(check); - m_Controls->m_QBallReconstructionMaxLLevelComboBox->setVisible(check); - m_Controls->m_QBallReconstructionLambdaTextLabel_2->setVisible(check); - m_Controls->m_QBallReconstructionLambdaLineEdit->setVisible(check); - - m_Controls->m_QBallReconstructionThresholdLabel_2->setVisible(check); - m_Controls->m_QBallReconstructionThreasholdEdit->setVisible(check); - m_Controls->label_2->setVisible(check); - m_Controls->frame_2->setVisible(check); -} - void QmitkQBallReconstructionView::Reconstruct(int method, int normalization) { if (m_CurrentSelection) { mitk::DataStorage::SetOfObjects::Pointer set = mitk::DataStorage::SetOfObjects::New(); int at = 0; for (IStructuredSelection::iterator i = m_CurrentSelection->Begin(); i != m_CurrentSelection->End(); ++i) { if (mitk::DataNodeObject::Pointer nodeObj = i->Cast()) { mitk::DataNode::Pointer node = nodeObj->GetDataNode(); bool isDiffusionImage( mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( dynamic_cast(node->GetData())) ); if ( isDiffusionImage ) { set->InsertElement(at++, node); } } } if(method == 0) { NumericalQBallReconstruction(set, normalization); } else { #if BOOST_VERSION / 100000 > 0 #if BOOST_VERSION / 100 % 1000 > 34 if(method == 1) { AnalyticalQBallReconstruction(set, normalization); } if(method == 2) { MultiQBallReconstruction(set); } #else std::cout << "ERROR: Boost 1.35 minimum required" << std::endl; QMessageBox::warning(nullptr,"ERROR","Boost 1.35 minimum required"); #endif #else std::cout << "ERROR: Boost 1.35 minimum required" << std::endl; QMessageBox::warning(nullptr,"ERROR","Boost 1.35 minimum required"); #endif } } } void QmitkQBallReconstructionView::NumericalQBallReconstruction (mitk::DataStorage::SetOfObjects::Pointer inImages, int normalization) { try { itk::TimeProbe clock; int nrFiles = inImages->size(); if (!nrFiles) return; QString status; mitk::ProgressBar::GetInstance()->AddStepsToDo(nrFiles); mitk::DataStorage::SetOfObjects::const_iterator itemiter( inImages->begin() ); mitk::DataStorage::SetOfObjects::const_iterator itemiterend( inImages->end() ); while ( itemiter != itemiterend ) // for all items { mitk::Image* vols = static_cast( (*itemiter)->GetData()); std::string nodename; (*itemiter)->GetStringProperty("name", nodename); // QBALL RECONSTRUCTION clock.Start(); MITK_INFO << "QBall reconstruction "; mitk::StatusBar::GetInstance()->DisplayText(status.sprintf( "QBall reconstruction for %s", nodename.c_str()).toLatin1()); typedef itk::DiffusionQballReconstructionImageFilter QballReconstructionImageFilterType; ITKDiffusionImageType::Pointer itkVectorImagePointer = ITKDiffusionImageType::New(); mitk::CastToItkImage(vols, itkVectorImagePointer); QballReconstructionImageFilterType::Pointer filter = QballReconstructionImageFilterType::New(); filter->SetGradientImage( static_cast( vols->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer(), itkVectorImagePointer ); filter->SetBValue( static_cast(vols->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue() ); filter->SetThreshold( m_Controls->m_QBallReconstructionThreasholdEdit->value() ); std::string nodePostfix; switch(normalization) { case 0: { filter->SetNormalizationMethod(QballReconstructionImageFilterType::QBR_STANDARD); nodePostfix = "_Numerical_Qball"; break; } case 1: { filter->SetNormalizationMethod(QballReconstructionImageFilterType::QBR_B_ZERO_B_VALUE); nodePostfix = "_Numerical_ZeroBvalueNormalization_Qball"; break; } case 2: { filter->SetNormalizationMethod(QballReconstructionImageFilterType::QBR_B_ZERO); nodePostfix = "_NumericalQball_ZeroNormalization_Qball"; break; } case 3: { filter->SetNormalizationMethod(QballReconstructionImageFilterType::QBR_NONE); nodePostfix = "_NumericalQball_NoNormalization_Qball"; break; } default: { filter->SetNormalizationMethod(QballReconstructionImageFilterType::QBR_STANDARD); nodePostfix = "_NumericalQball_Qball"; } } filter->Update(); clock.Stop(); MITK_DEBUG << "took " << clock.GetMean() << "s." ; // ODFs TO DATATREE mitk::OdfImage::Pointer image = mitk::OdfImage::New(); image->InitializeByItk( filter->GetOutput() ); image->SetVolume( filter->GetOutput()->GetBufferPointer() ); mitk::DataNode::Pointer node=mitk::DataNode::New(); node->SetData( image ); SetDefaultNodeProperties(node, nodename+nodePostfix); mitk::ProgressBar::GetInstance()->Progress(); GetDataStorage()->Add(node, *itemiter); ++itemiter; } mitk::StatusBar::GetInstance()->DisplayText(status.sprintf("Finished Processing %d Files", nrFiles).toLatin1()); this->GetRenderWindowPart()->RequestUpdate(); } catch (itk::ExceptionObject &ex) { MITK_INFO << ex ; QMessageBox::information(0, "Reconstruction not possible:", ex.GetDescription()); return ; } } void QmitkQBallReconstructionView::AnalyticalQBallReconstruction( mitk::DataStorage::SetOfObjects::Pointer inImages, int normalization) { try { itk::TimeProbe clock; int nrFiles = inImages->size(); if (!nrFiles) return; std::vector lambdas; float minLambda = m_Controls->m_QBallReconstructionLambdaLineEdit->value(); lambdas.push_back(minLambda); int nLambdas = lambdas.size(); QString status; mitk::ProgressBar::GetInstance()->AddStepsToDo(nrFiles*nLambdas); mitk::DataStorage::SetOfObjects::const_iterator itemiter( inImages->begin() ); mitk::DataStorage::SetOfObjects::const_iterator itemiterend( inImages->end() ); std::vector* nodes = new std::vector(); while ( itemiter != itemiterend ) // for all items { // QBALL RECONSTRUCTION clock.Start(); MITK_INFO << "QBall reconstruction "; mitk::StatusBar::GetInstance()->DisplayText(status.sprintf("QBall reconstruction for %s", (*itemiter)->GetName().c_str()).toLatin1()); for(int i=0; im_QBallReconstructionMaxLLevelComboBox->currentIndex()) { case 0: { TemplatedAnalyticalQBallReconstruction<2>(*itemiter, currentLambda, normalization); break; } case 1: { TemplatedAnalyticalQBallReconstruction<4>(*itemiter, currentLambda, normalization); break; } case 2: { TemplatedAnalyticalQBallReconstruction<6>(*itemiter, currentLambda, normalization); break; } case 3: { TemplatedAnalyticalQBallReconstruction<8>(*itemiter, currentLambda, normalization); break; } case 4: { TemplatedAnalyticalQBallReconstruction<10>(*itemiter, currentLambda, normalization); break; } case 5: { TemplatedAnalyticalQBallReconstruction<12>(*itemiter, currentLambda, normalization); break; } } clock.Stop(); MITK_DEBUG << "took " << clock.GetMean() << "s." ; mitk::ProgressBar::GetInstance()->Progress(); itemiter++; } } std::vector::iterator nodeIt; for(nodeIt = nodes->begin(); nodeIt != nodes->end(); ++nodeIt) GetDataStorage()->Add(*nodeIt); this->GetRenderWindowPart()->RequestUpdate(); mitk::StatusBar::GetInstance()->DisplayText(status.sprintf("Finished Processing %d Files", nrFiles).toLatin1()); } catch (itk::ExceptionObject &ex) { MITK_INFO << ex; QMessageBox::information(0, "Reconstruction not possible:", ex.GetDescription()); return; } } template void QmitkQBallReconstructionView::TemplatedAnalyticalQBallReconstruction(mitk::DataNode* dataNodePointer, float lambda, int normalization) { typedef itk::AnalyticalDiffusionQballReconstructionImageFilter FilterType; typename FilterType::Pointer filter = FilterType::New(); mitk::Image* vols = dynamic_cast(dataNodePointer->GetData()); ITKDiffusionImageType::Pointer itkVectorImagePointer = ITKDiffusionImageType::New(); mitk::CastToItkImage(vols, itkVectorImagePointer); filter->SetBValue( static_cast(vols->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue() ); filter->SetGradientImage( static_cast( vols->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer(), itkVectorImagePointer ); filter->SetThreshold( m_Controls->m_QBallReconstructionThreasholdEdit->value() ); filter->SetLambda(lambda); std::string nodePostfix; switch(normalization) { case 0: { filter->SetNormalizationMethod(FilterType::QBAR_STANDARD); nodePostfix = "_SH_Qball"; break; } case 1: { filter->SetNormalizationMethod(FilterType::QBAR_B_ZERO_B_VALUE); nodePostfix = "_SH_1_Qball"; break; } case 2: { filter->SetNormalizationMethod(FilterType::QBAR_B_ZERO); nodePostfix = "_SH_2_Qball"; break; } case 3: { filter->SetNormalizationMethod(FilterType::QBAR_NONE); nodePostfix = "_SH_3_Qball"; break; } case 4: { filter->SetNormalizationMethod(FilterType::QBAR_ADC_ONLY); nodePostfix = "_AdcProfile"; break; } case 5: { filter->SetNormalizationMethod(FilterType::QBAR_RAW_SIGNAL); nodePostfix = "_RawSignal"; break; } case 6: { filter->SetNormalizationMethod(FilterType::QBAR_SOLID_ANGLE); nodePostfix = "_SH_CSA_Qball"; break; } case 7: { filter->SetNormalizationMethod(FilterType::QBAR_NONNEG_SOLID_ANGLE); nodePostfix = "_SH_NonNegCSA_Qball"; break; } default: { filter->SetNormalizationMethod(FilterType::QBAR_STANDARD); } } filter->Update(); // ODFs TO DATATREE mitk::OdfImage::Pointer image = mitk::OdfImage::New(); image->InitializeByItk( filter->GetOutput() ); image->SetVolume( filter->GetOutput()->GetBufferPointer() ); mitk::DataNode::Pointer node=mitk::DataNode::New(); node->SetData( image ); SetDefaultNodeProperties(node, dataNodePointer->GetName()+nodePostfix); GetDataStorage()->Add(node, dataNodePointer); if(m_Controls->m_OutputCoeffsImage->isChecked()) { mitk::Image::Pointer coeffsImage = mitk::Image::New(); coeffsImage->InitializeByItk( filter->GetCoefficientImage().GetPointer() ); coeffsImage->SetVolume( filter->GetCoefficientImage()->GetBufferPointer() ); mitk::DataNode::Pointer coeffsNode=mitk::DataNode::New(); coeffsNode->SetData( coeffsImage ); coeffsNode->SetProperty( "name", mitk::StringProperty::New(dataNodePointer->GetName()+"_SH-Coeffs") ); coeffsNode->SetVisibility(false); GetDataStorage()->Add(coeffsNode, node); } } void QmitkQBallReconstructionView::MultiQBallReconstruction(mitk::DataStorage::SetOfObjects::Pointer inImages) { try { itk::TimeProbe clock; int nrFiles = inImages->size(); if (!nrFiles) return; std::vector lambdas; float minLambda = m_Controls->m_QBallReconstructionLambdaLineEdit->value(); lambdas.push_back(minLambda); int nLambdas = lambdas.size(); QString status; mitk::ProgressBar::GetInstance()->AddStepsToDo(nrFiles*nLambdas); mitk::DataStorage::SetOfObjects::const_iterator itemiter( inImages->begin() ); mitk::DataStorage::SetOfObjects::const_iterator itemiterend( inImages->end() ); while ( itemiter != itemiterend ) // for all items { mitk::DataNode* nodePointer = (*itemiter).GetPointer(); std::string nodename; (*itemiter)->GetStringProperty("name",nodename); itemiter++; // QBALL RECONSTRUCTION clock.Start(); MITK_INFO << "QBall reconstruction "; mitk::StatusBar::GetInstance()->DisplayText(status.sprintf("QBall reconstruction for %s", nodename.c_str()).toLatin1()); for(int i=0; im_QBallReconstructionMaxLLevelComboBox->currentIndex()) { case 0: { TemplatedMultiQBallReconstruction<2>(currentLambda, nodePointer); break; } case 1: { TemplatedMultiQBallReconstruction<4>(currentLambda, nodePointer); break; } case 2: { TemplatedMultiQBallReconstruction<6>(currentLambda, nodePointer); break; } case 3: { TemplatedMultiQBallReconstruction<8>(currentLambda, nodePointer); break; } case 4: { TemplatedMultiQBallReconstruction<10>(currentLambda, nodePointer); break; } case 5: { TemplatedMultiQBallReconstruction<12>(currentLambda, nodePointer); break; } } clock.Stop(); MITK_DEBUG << "took " << clock.GetMean() << "s." ; mitk::ProgressBar::GetInstance()->Progress(); } } this->GetRenderWindowPart()->RequestUpdate(); mitk::StatusBar::GetInstance()->DisplayText(status.sprintf("Finished Processing %d Files", nrFiles).toLatin1()); } catch (itk::ExceptionObject &ex) { MITK_INFO << ex ; QMessageBox::information(0, "Reconstruction not possible:", ex.GetDescription()); return ; } } template void QmitkQBallReconstructionView::TemplatedMultiQBallReconstruction(float lambda, mitk::DataNode* dataNodePointer) { typedef itk::DiffusionMultiShellQballReconstructionImageFilter FilterType; typename FilterType::Pointer filter = FilterType::New(); std::string nodename; dataNodePointer->GetStringProperty("name",nodename); mitk::Image* dwi = dynamic_cast(dataNodePointer->GetData()); BValueMapType currSelectionMap = m_ShellSelectorMap[dataNodePointer]->GetBValueSelctionMap(); if(currSelectionMap.size() != 4)// || currSelectionMap.find(0) != currSelectionMap.end()) { QMessageBox::information(0, "Reconstruction not possible:" ,QString("Only three equidistant shells are supported. (ImageName: " + QString(nodename.c_str()) + ")")); return; } BValueMapType::reverse_iterator it1 = currSelectionMap.rbegin(); BValueMapType::reverse_iterator it2 = currSelectionMap.rbegin(); ++it2; // Get average distance int avdistance = 0; for(; it2 != currSelectionMap.rend(); ++it1,++it2) avdistance += (int)it1->first - (int)it2->first; avdistance /= currSelectionMap.size()-1; // Check if all shells are using the same averae distance it1 = currSelectionMap.rbegin(); it2 = currSelectionMap.rbegin(); ++it2; for(; it2 != currSelectionMap.rend(); ++it1,++it2) { if(avdistance != (int)it1->first - (int)it2->first) { QMessageBox::information(0, "Reconstruction not possible:" ,QString("Selected Shells are not in a equidistant configuration. (ImageName: " + QString(nodename.c_str()) + ")")); return; } } ITKDiffusionImageType::Pointer itkVectorImagePointer = ITKDiffusionImageType::New(); mitk::CastToItkImage(dwi, itkVectorImagePointer); filter->SetBValueMap(m_ShellSelectorMap[dataNodePointer]->GetBValueSelctionMap()); filter->SetGradientImage( static_cast( dwi->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer(), itkVectorImagePointer, static_cast(dwi->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue() ); filter->SetThreshold( m_Controls->m_QBallReconstructionThreasholdEdit->value() ); filter->SetLambda(lambda); filter->Update(); if(m_Controls->m_OutputCoeffsImage->isChecked()) { mitk::Image::Pointer coeffsImage = mitk::Image::New(); coeffsImage->InitializeByItk( filter->GetCoefficientImage().GetPointer() ); coeffsImage->SetVolume( filter->GetCoefficientImage()->GetBufferPointer() ); mitk::DataNode::Pointer coeffsNode=mitk::DataNode::New(); coeffsNode->SetData( coeffsImage ); coeffsNode->SetProperty( "name", mitk::StringProperty::New( QString(nodename.c_str()).append("_SH-Coefficients").toStdString()) ); GetDataStorage()->Add(coeffsNode, dataNodePointer); } // ODFs TO DATATREE mitk::OdfImage::Pointer image = mitk::OdfImage::New(); image->InitializeByItk( filter->GetOutput() ); image->SetVolume( filter->GetOutput()->GetBufferPointer() ); mitk::DataNode::Pointer node=mitk::DataNode::New(); node->SetData( image ); SetDefaultNodeProperties(node, nodename+"_SH_MultiShell_Qball"); GetDataStorage()->Add(node, dataNodePointer); } void QmitkQBallReconstructionView::SetDefaultNodeProperties(mitk::DataNode::Pointer node, std::string name) { node->SetProperty( "ShowMaxNumber", mitk::IntProperty::New( 500 ) ); node->SetProperty( "Scaling", mitk::FloatProperty::New( 1.0 ) ); node->SetProperty( "Normalization", mitk::OdfNormalizationMethodProperty::New()); node->SetProperty( "ScaleBy", mitk::OdfScaleByProperty::New()); node->SetProperty( "IndexParam1", mitk::FloatProperty::New(2)); node->SetProperty( "IndexParam2", mitk::FloatProperty::New(1)); node->SetProperty( "visible", mitk::BoolProperty::New( true ) ); node->SetProperty( "VisibleOdfs", mitk::BoolProperty::New( false ) ); node->SetProperty ("layer", mitk::IntProperty::New(100)); node->SetProperty( "DoRefresh", mitk::BoolProperty::New( true ) ); node->SetProperty( "name", mitk::StringProperty::New(name) ); } void QmitkQBallReconstructionView::GenerateShellSelectionUI(mitk::DataStorage::SetOfObjects::Pointer set) { m_DiffusionImages = set; std::map tempMap; const mitk::DataStorage::SetOfObjects::iterator setEnd( set->end() ); mitk::DataStorage::SetOfObjects::iterator NodeIt( set->begin() ); while(NodeIt != setEnd) { if(m_ShellSelectorMap.find( (*NodeIt).GetPointer() ) != m_ShellSelectorMap.end()) { tempMap[(*NodeIt).GetPointer()] = m_ShellSelectorMap[(*NodeIt).GetPointer()]; m_ShellSelectorMap.erase((*NodeIt).GetPointer()); }else { tempMap[(*NodeIt).GetPointer()] = new QbrShellSelection(this, (*NodeIt) ); tempMap[(*NodeIt).GetPointer()]->SetVisible(true); } NodeIt++; } for(std::map::iterator it = m_ShellSelectorMap.begin(); it != m_ShellSelectorMap.end();it ++) { delete it->second; } m_ShellSelectorMap.clear(); m_ShellSelectorMap = tempMap; } void QmitkQBallReconstructionView::PreviewThreshold(int threshold) { mitk::DataStorage::SetOfObjects::const_iterator itemiter( m_DiffusionImages->begin() ); mitk::DataStorage::SetOfObjects::const_iterator itemiterend( m_DiffusionImages->end() ); while ( itemiter != itemiterend ) // for all items { mitk::Image* vols = static_cast( (*itemiter)->GetData()); // Extract b0 image ITKDiffusionImageType::Pointer itkVectorImagePointer = ITKDiffusionImageType::New(); mitk::CastToItkImage(vols, itkVectorImagePointer); typedef itk::B0ImageExtractionImageFilter FilterType; FilterType::Pointer filterB0 = FilterType::New(); filterB0->SetInput( itkVectorImagePointer ); filterB0->SetDirections( static_cast( vols->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer() ); filterB0->Update(); mitk::Image::Pointer mitkImage = mitk::Image::New(); typedef itk::Image ImageType; typedef itk::Image SegmentationType; typedef itk::BinaryThresholdImageFilter ThresholdFilterType; // apply threshold ThresholdFilterType::Pointer filterThreshold = ThresholdFilterType::New(); filterThreshold->SetInput(filterB0->GetOutput()); filterThreshold->SetLowerThreshold(threshold); filterThreshold->SetInsideValue(0); filterThreshold->SetOutsideValue(1); // mark cut off values red filterThreshold->Update(); mitkImage->InitializeByItk( filterThreshold->GetOutput() ); mitkImage->SetVolume( filterThreshold->GetOutput()->GetBufferPointer() ); mitk::DataNode::Pointer node; if (this->GetDataStorage()->GetNamedDerivedNode("ThresholdOverlay", *itemiter)) { node = this->GetDataStorage()->GetNamedDerivedNode("ThresholdOverlay", *itemiter); } else { // create a new node, to show thresholded values node = mitk::DataNode::New(); GetDataStorage()->Add( node, *itemiter ); node->SetProperty( "name", mitk::StringProperty::New("ThresholdOverlay")); node->SetBoolProperty("helper object", true); } node->SetData( mitkImage ); itemiter++; mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } } diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkQBallReconstructionView.h b/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkQBallReconstructionView.h index 792fa3aa2d..b6f2db2bf0 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkQBallReconstructionView.h +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkQBallReconstructionView.h @@ -1,144 +1,143 @@ /*=================================================================== 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 _QMITKQBALLRECONSTRUCTIONVIEW_H_INCLUDED #define _QMITKQBALLRECONSTRUCTIONVIEW_H_INCLUDED #include #include #include #include "ui_QmitkQBallReconstructionViewControls.h" #include #include #include #include #include #include typedef short DiffusionPixelType; struct QbrSelListener; struct QbrShellSelection; /*! * \ingroup org_mitk_gui_qt_qballreconstruction_internal * * \brief QmitkQBallReconstructionView * * Document your class here. */ class QmitkQBallReconstructionView : public QmitkAbstractView, public mitk::ILifecycleAwarePart { friend struct QbrSelListener; friend struct QbrShellSelection; typedef mitk::DiffusionPropertyHelper::GradientDirectionType GradientDirectionType; typedef mitk::DiffusionPropertyHelper::GradientDirectionsContainerType GradientDirectionContainerType; typedef mitk::DiffusionPropertyHelper::BValueMapType BValueMapType; typedef itk::VectorImage< DiffusionPixelType, 3 > ITKDiffusionImageType; // 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; QmitkQBallReconstructionView(); virtual ~QmitkQBallReconstructionView(); virtual void CreateQtPartControl(QWidget *parent) override; /// \brief Creation of the connections of main and control widget virtual void CreateConnections(); /// /// Sets the focus to an internal widget. /// virtual void SetFocus() override; /// \brief Called when the view gets activated virtual void Activated() override; /// \brief Called when the view gets deactivated virtual void Deactivated() override; /// \brief Called when the view becomes visible virtual void Visible() override; /// \brief Called when the view becomes hidden virtual void Hidden() override; static const int nrconvkernels; protected slots: void ReconstructStandard(); - void AdvancedCheckboxClicked(); void MethodChoosen(int method); void Reconstruct(int method, int normalization); void NumericalQBallReconstruction(mitk::DataStorage::SetOfObjects::Pointer inImages, int normalization); void AnalyticalQBallReconstruction(mitk::DataStorage::SetOfObjects::Pointer inImages, int normalization); void MultiQBallReconstruction(mitk::DataStorage::SetOfObjects::Pointer inImages); /** * @brief PreviewThreshold Generates a preview of the values that are cut off by the thresholds * @param threshold */ void PreviewThreshold(int threshold); protected: /// \brief called by QmitkAbstractView when DataManager's selection has changed virtual void OnSelectionChanged(berry::IWorkbenchPart::Pointer part, const QList& nodes) override; Ui::QmitkQBallReconstructionViewControls* m_Controls; template void TemplatedAnalyticalQBallReconstruction(mitk::DataNode* dataNodePointer, float lambda, int normalization); template void TemplatedMultiQBallReconstruction(float lambda, mitk::DataNode*); void SetDefaultNodeProperties(mitk::DataNode::Pointer node, std::string name); //void Create QScopedPointer m_SelListener; berry::IStructuredSelection::ConstPointer m_CurrentSelection; mitk::DataStorage::SetOfObjects::Pointer m_DiffusionImages; private: std::map< const mitk::DataNode *, QbrShellSelection * > m_ShellSelectorMap; void GenerateShellSelectionUI(mitk::DataStorage::SetOfObjects::Pointer set); }; #endif // _QMITKQBALLRECONSTRUCTIONVIEW_H_INCLUDED diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkQBallReconstructionViewControls.ui b/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkQBallReconstructionViewControls.ui index ff9de02c72..22f3bc7697 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkQBallReconstructionViewControls.ui +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkQBallReconstructionViewControls.ui @@ -1,371 +1,343 @@ QmitkQBallReconstructionViewControls 0 0 372 844 0 0 true QmitkQBallReconstructionViewControls Please Select Input Data + + 0 + + + 0 + + + 0 + + + 0 + Input for Q-Ball reconstruction. Raw DWI: Input for Q-Ball reconstruction. <font color='red'>mandatory</font> true Parameters + + 0 + + + 0 + + + 0 + + + 0 + - - - Advanced Settings + + + 2 - - true + + + Numerical + + + + + Standard + + + + + Solid Angle + + + + + Constraint Solid Angle + + + + + ADC-Profile only + + + + + Raw Signal only + + + + + Multi-Shell + + + + + + + + TextLabel - + QFrame::NoFrame QFrame::Raised - + 0 0 0 0 - + QFrame::NoFrame QFrame::Raised - + 0 0 0 0 - - + + true + + Regularization Parameter + - B0 Threshold + Lambda: false - - + + + + Regularization factor + + + 3 + - 10000 + 1.000000000000000 + + + 0.001000000000000 + + + 0.006000000000000 - - - - - - - QFrame::NoFrame - - - QFrame::Raised - - - - 0 - - - 0 - - - 0 - - - 0 - - - - - QFrame::NoFrame + + + + true - - QFrame::Raised + + SH-Order: + + + false + + + + + + + true + + + -1 - - - 0 - - - 0 - - - 0 - - - 0 - - - - - true - - - Regularization Parameter - - - Lambda: - - - false - - - - - - - true - - - Maximum l-Level: - - - false - - - - - - - true - - - -1 - - - - - - - true - - - Spherical Harmonics: - - - - - - - 3 - - - 1.000000000000000 - - - 0.001000000000000 - - - 0.006000000000000 - - - - - + + + true + - Output SH-Coefficient Image + B0 Threshold - - true + + false + + + + + + + 10000 + + + + Output SH-Coefficient Image + + + false + + + - - - - 2 - - - - Numerical - - - - - Standard - - - - - Solid Angle - - - - - Constraint Solid Angle - - - - - ADC-Profile only - - - - - Raw Signal only - - - - - Multi-Shell - - - - - - - - TextLabel - - - false Start Reconstruction true Qt::LeftToRight false Multi-Shell Reconstruction - + + + 0 + + + 0 + + + 0 + + + 0 + + Qt::Vertical 20 0 diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkTensorReconstructionView.cpp b/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkTensorReconstructionView.cpp index 7566b60844..99f595f182 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkTensorReconstructionView.cpp +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkTensorReconstructionView.cpp @@ -1,1063 +1,1066 @@ /*=================================================================== The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center, Division of Medical and Biological Informatics. All rights reserved. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See LICENSE.txt or http://www.mitk.org for details. ===================================================================*/ #include "QmitkTensorReconstructionView.h" #include "mitkDiffusionImagingConfigure.h" // qt includes #include #include #include #include #include // itk includes #include "itkTimeProbe.h" //#include "itkTensor.h" // mitk includes #include "mitkProgressBar.h" #include "mitkStatusBar.h" #include "mitkNodePredicateDataType.h" #include "QmitkDataStorageComboBox.h" #include "mitkTeemDiffusionTensor3DReconstructionImageFilter.h" #include "itkDiffusionTensor3DReconstructionImageFilter.h" #include "itkTensorImageToDiffusionImageFilter.h" #include "itkPointShell.h" #include "itkVector.h" #include "itkB0ImageExtractionImageFilter.h" #include "itkTensorReconstructionWithEigenvalueCorrectionFilter.h" #include "mitkImageCast.h" #include "mitkImageAccessByItk.h" #include #include #include "mitkProperties.h" #include "mitkDataNodeObject.h" #include "mitkOdfNormalizationMethodProperty.h" #include "mitkOdfScaleByProperty.h" #include "mitkLookupTableProperty.h" #include "mitkLookupTable.h" #include "mitkImageStatisticsHolder.h" #include #include #include #include #include #include const std::string QmitkTensorReconstructionView::VIEW_ID = "org.mitk.views.tensorreconstruction"; typedef mitk::TensorImage::ScalarPixelType TTensorPixelType; typedef mitk::TensorImage::PixelType TensorPixelType; typedef mitk::TensorImage::ItkTensorImageType TensorImageType; using namespace berry; QmitkTensorReconstructionView::QmitkTensorReconstructionView() : QmitkAbstractView(), m_Controls(nullptr) { m_DiffusionImages = mitk::DataStorage::SetOfObjects::New(); m_TensorImages = mitk::DataStorage::SetOfObjects::New(); } QmitkTensorReconstructionView::~QmitkTensorReconstructionView() { } void QmitkTensorReconstructionView::CreateQtPartControl(QWidget *parent) { if (!m_Controls) { // create GUI widgets m_Controls = new Ui::QmitkTensorReconstructionViewControls; m_Controls->setupUi(parent); this->CreateConnections(); Advanced1CheckboxClicked(); } } void QmitkTensorReconstructionView::SetFocus() { m_Controls->m_Advanced1->setFocus(); } void QmitkTensorReconstructionView::CreateConnections() { if ( m_Controls ) { connect( (QObject*)(m_Controls->m_StartReconstruction), SIGNAL(clicked()), this, SLOT(Reconstruct()) ); connect( (QObject*)(m_Controls->m_Advanced1), SIGNAL(clicked()), this, SLOT(Advanced1CheckboxClicked()) ); connect( (QObject*)(m_Controls->m_TensorsToDWIButton), SIGNAL(clicked()), this, SLOT(TensorsToDWI()) ); connect( (QObject*)(m_Controls->m_TensorsToOdfButton), SIGNAL(clicked()), this, SLOT(TensorsToOdf()) ); connect( (QObject*)(m_Controls->m_ResidualButton), SIGNAL(clicked()), this, SLOT(ResidualCalculation()) ); connect( (QObject*)(m_Controls->m_PerSliceView), SIGNAL(pointSelected(int, int)), this, SLOT(ResidualClicked(int, int)) ); connect( (QObject*)(m_Controls->m_TensorReconstructionThreshold), SIGNAL(valueChanged(int)), this, SLOT(PreviewThreshold(int)) ); + + m_Controls->m_ResidualTab->setVisible(false); + m_Controls->m_PercentagesOfOutliers->setVisible(false); } } void QmitkTensorReconstructionView::ResidualClicked(int slice, int volume) { // Use image coord to reset crosshair // Find currently selected diffusion image // Update Label // to do: This position should be modified in order to skip B0 volumes that are not taken into account // when calculating residuals // Find the diffusion image mitk::Image* diffImage; mitk::DataNode::Pointer correctNode; mitk::BaseGeometry* geometry; bool isDiffusionImage(false); if (m_DiffusionImage.IsNotNull()) { isDiffusionImage = mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( dynamic_cast(m_DiffusionImage->GetData())) ; diffImage = static_cast(m_DiffusionImage->GetData()); geometry = m_DiffusionImage->GetData()->GetGeometry(); // Remember the node whose display index must be updated correctNode = mitk::DataNode::New(); correctNode = m_DiffusionImage; } if( isDiffusionImage ) { GradientDirectionContainerType::Pointer dirs = static_cast( diffImage->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer(); for(itk::SizeValueType i=0; iSize() && i<=(itk::SizeValueType)volume; i++) { GradientDirectionType grad = dirs->ElementAt(i); // check if image is b0 weighted if(fabs(grad[0]) < 0.001 && fabs(grad[1]) < 0.001 && fabs(grad[2]) < 0.001) { volume++; } } QString pos = "Volume: "; pos.append(QString::number(volume)); pos.append(", Slice: "); pos.append(QString::number(slice)); m_Controls->m_PositionLabel->setText(pos); if(correctNode) { int oldDisplayVal; correctNode->GetIntProperty("DisplayChannel", oldDisplayVal); QString oldVal = QString::number(oldDisplayVal); QString newVal = QString::number(volume); correctNode->SetIntProperty("DisplayChannel",volume); correctNode->SetSelected(true); this->FirePropertyChanged("DisplayChannel", oldVal, newVal); correctNode->UpdateOutputInformation(); mitk::Point3D p3 = this->GetRenderWindowPart()->GetSelectedPosition(); itk::Index<3> ix; geometry->WorldToIndex(p3, ix); // ix[2] = slice; mitk::Vector3D vec; vec[0] = ix[0]; vec[1] = ix[1]; vec[2] = slice; mitk::Vector3D v3New; geometry->IndexToWorld(vec, v3New); mitk::Point3D origin = geometry->GetOrigin(); mitk::Point3D p3New; p3New[0] = v3New[0] + origin[0]; p3New[1] = v3New[1] + origin[1]; p3New[2] = v3New[2] + origin[2]; this->GetRenderWindowPart()->SetSelectedPosition(p3New); this->GetRenderWindowPart()->RequestUpdate(); } } } void QmitkTensorReconstructionView::Advanced1CheckboxClicked() { bool check = m_Controls-> m_Advanced1->isChecked(); m_Controls->frame->setVisible(check); } void QmitkTensorReconstructionView::Activated() { } void QmitkTensorReconstructionView::Deactivated() { // Get all current nodes mitk::DataStorage::SetOfObjects::ConstPointer objects = this->GetDataStorage()->GetAll(); mitk::DataStorage::SetOfObjects::const_iterator itemiter( objects->begin() ); mitk::DataStorage::SetOfObjects::const_iterator itemiterend( objects->end() ); while ( itemiter != itemiterend ) // for all items { mitk::DataNode::Pointer node = *itemiter; if (node.IsNull()) continue; // only look at interesting types if( mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage(dynamic_cast(node->GetData()))) { if (this->GetDataStorage()->GetNamedDerivedNode("ThresholdOverlay", *itemiter)) { node = this->GetDataStorage()->GetNamedDerivedNode("ThresholdOverlay", *itemiter); this->GetDataStorage()->Remove(node); } } itemiter++; } mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } void QmitkTensorReconstructionView::Visible() { } void QmitkTensorReconstructionView::Hidden() { } void QmitkTensorReconstructionView::ResidualCalculation() { // Extract dwi and dti from current selection // In case of multiple selections, take the first one, since taking all combinations is not meaningful mitk::DataStorage::SetOfObjects::Pointer set = mitk::DataStorage::SetOfObjects::New(); mitk::Image::Pointer diffImage = mitk::Image::New(); TensorImageType::Pointer tensorImage; std::string nodename; if(m_DiffusionImage.IsNotNull()) { diffImage = static_cast(m_DiffusionImage->GetData()); } else return; if(m_TensorImage.IsNotNull()) { mitk::TensorImage* mitkVol; mitkVol = static_cast(m_TensorImage->GetData()); mitk::CastToItkImage(mitkVol, tensorImage); m_TensorImage->GetStringProperty("name", nodename); } else return; typedef itk::TensorImageToDiffusionImageFilter< TTensorPixelType, DiffusionPixelType > FilterType; GradientDirectionContainerType* gradients = static_cast( diffImage->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer(); // Find the min and the max values from a baseline image mitk::ImageStatisticsHolder *stats = diffImage->GetStatistics(); //Initialize filter that calculates the modeled diffusion weighted signals FilterType::Pointer filter = FilterType::New(); filter->SetInput( tensorImage ); filter->SetBValue( static_cast(diffImage->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue()); filter->SetGradientList(gradients); filter->SetMin(stats->GetScalarValueMin()); filter->SetMax(stats->GetScalarValueMax()); filter->Update(); // TENSORS TO DATATREE mitk::Image::Pointer image = mitk::GrabItkImageMemory( filter->GetOutput() ); mitk::DiffusionPropertyHelper::CopyProperties(diffImage, image, true); image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( gradients ) ); mitk::DiffusionPropertyHelper propertyHelper( image ); propertyHelper.InitializeImage(); mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData( image ); mitk::ImageVtkMapper2D::SetDefaultProperties(node); QString newname; newname = newname.append(nodename.c_str()); newname = newname.append("_Estimated DWI"); node->SetName(newname.toLatin1()); GetDataStorage()->Add(node, m_TensorImage); BValueMapType map = static_cast(image->GetProperty(mitk::DiffusionPropertyHelper::BVALUEMAPPROPERTYNAME.c_str()).GetPointer() )->GetBValueMap();; std::vector< unsigned int > b0Indices = map[0]; typedef itk::ResidualImageFilter ResidualImageFilterType; ITKDiffusionImageType::Pointer itkVectorImagePointer = ITKDiffusionImageType::New(); mitk::CastToItkImage(diffImage, itkVectorImagePointer); ITKDiffusionImageType::Pointer itkSecondVectorImagePointer = ITKDiffusionImageType::New(); mitk::CastToItkImage(image, itkSecondVectorImagePointer); ResidualImageFilterType::Pointer residualFilter = ResidualImageFilterType::New(); residualFilter->SetInput( itkVectorImagePointer ); residualFilter->SetSecondDiffusionImage( itkSecondVectorImagePointer ); residualFilter->SetGradients(gradients); residualFilter->SetB0Index(b0Indices[0]); residualFilter->SetB0Threshold(30); residualFilter->Update(); itk::Image::Pointer residualImage = itk::Image::New(); residualImage = residualFilter->GetOutput(); mitk::Image::Pointer mitkResImg = mitk::Image::New(); mitk::CastToMitkImage(residualImage, mitkResImg); stats = mitkResImg->GetStatistics(); float min = stats->GetScalarValueMin(); float max = stats->GetScalarValueMax(); mitk::LookupTableProperty::Pointer lutProp = mitk::LookupTableProperty::New(); mitk::LookupTable::Pointer lut = mitk::LookupTable::New(); vtkSmartPointer lookupTable = vtkSmartPointer::New(); lookupTable->SetTableRange(min, max); // If you don't want to use the whole color range, you can use // SetValueRange, SetHueRange, and SetSaturationRange lookupTable->Build(); vtkSmartPointer reversedlookupTable = vtkSmartPointer::New(); reversedlookupTable->SetTableRange(min+1, max); reversedlookupTable->Build(); for(int i=0; i<256; i++) { double* rgba = reversedlookupTable->GetTableValue(255-i); lookupTable->SetTableValue(i, rgba[0], rgba[1], rgba[2], rgba[3]); } lut->SetVtkLookupTable(lookupTable); lutProp->SetLookupTable(lut); // Create lookuptable mitk::DataNode::Pointer resNode=mitk::DataNode::New(); resNode->SetData( mitkResImg ); resNode->SetName("Residuals"); resNode->SetProperty("LookupTable", lutProp); bool b; resNode->GetBoolProperty("use color", b); resNode->SetBoolProperty("use color", false); GetDataStorage()->Add(resNode, m_TensorImage); this->GetRenderWindowPart()->RequestUpdate(); // Draw Graph std::vector means = residualFilter->GetMeans(); std::vector q1s = residualFilter->GetQ1(); std::vector q3s = residualFilter->GetQ3(); std::vector percentagesOfOUtliers = residualFilter->GetPercentagesOfOutliers(); m_Controls->m_ResidualAnalysis->SetMeans(means); m_Controls->m_ResidualAnalysis->SetQ1(q1s); m_Controls->m_ResidualAnalysis->SetQ3(q3s); m_Controls->m_ResidualAnalysis->SetPercentagesOfOutliers(percentagesOfOUtliers); if(m_Controls->m_PercentagesOfOutliers->isChecked()) { m_Controls->m_ResidualAnalysis->DrawPercentagesOfOutliers(); } else { m_Controls->m_ResidualAnalysis->DrawMeans(); } // Draw Graph for volumes per slice in the QGraphicsView std::vector< std::vector > outliersPerSlice = residualFilter->GetOutliersPerSlice(); int xSize = outliersPerSlice.size(); if(xSize == 0) { return; } int ySize = outliersPerSlice[0].size(); // Find maximum in outliersPerSlice double maxOutlier= 0.0; for(int i=0; imaxOutlier) { maxOutlier = outliersPerSlice[i][j]; } } } // Create some QImage QImage qImage(xSize, ySize, QImage::Format_RGB32); QImage legend(1, 256, QImage::Format_RGB32); QRgb value; vtkSmartPointer lookup = vtkSmartPointer::New(); lookup->SetTableRange(0.0, maxOutlier); lookup->Build(); reversedlookupTable->SetTableRange(0, maxOutlier); reversedlookupTable->Build(); for(int i=0; i<256; i++) { double* rgba = reversedlookupTable->GetTableValue(255-i); lookup->SetTableValue(i, rgba[0], rgba[1], rgba[2], rgba[3]); } // Fill qImage for(int i=0; iMapValue(out); int r, g, b; r = _rgba[0]; g = _rgba[1]; b = _rgba[2]; value = qRgb(r, g, b); qImage.setPixel(i,j,value); } } for(int i=0; i<256; i++) { double* rgba = lookup->GetTableValue(i); int r, g, b; r = rgba[0]*255; g = rgba[1]*255; b = rgba[2]*255; value = qRgb(r, g, b); legend.setPixel(0,255-i,value); } QString upper = QString::number(maxOutlier, 'g', 3); upper.append(" %"); QString lower = QString::number(0.0); lower.append(" %"); m_Controls->m_UpperLabel->setText(upper); m_Controls->m_LowerLabel->setText(lower); QPixmap pixmap(QPixmap::fromImage(qImage)); QGraphicsPixmapItem *item = new QGraphicsPixmapItem(pixmap); item->setTransform(QTransform::fromScale(10.0, 3.0), true); QPixmap pixmap2(QPixmap::fromImage(legend)); QGraphicsPixmapItem *item2 = new QGraphicsPixmapItem(pixmap2); item2->setTransform(QTransform::fromScale(20.0, 1.0), true); m_Controls->m_PerSliceView->SetResidualPixmapItem(item); QGraphicsScene* scene = new QGraphicsScene; QGraphicsScene* scene2 = new QGraphicsScene; scene->addItem(item); scene2->addItem(item2); m_Controls->m_PerSliceView->setScene(scene); m_Controls->m_LegendView->setScene(scene2); m_Controls->m_PerSliceView->show(); m_Controls->m_PerSliceView->repaint(); m_Controls->m_LegendView->setHorizontalScrollBarPolicy ( Qt::ScrollBarAlwaysOff ); m_Controls->m_LegendView->setVerticalScrollBarPolicy ( Qt::ScrollBarAlwaysOff ); m_Controls->m_LegendView->show(); m_Controls->m_LegendView->repaint(); } void QmitkTensorReconstructionView::Reconstruct() { int method = m_Controls->m_ReconctructionMethodBox->currentIndex(); switch (method) { case 0: ItkTensorReconstruction(m_DiffusionImages); break; case 1: TensorReconstructionWithCorr(m_DiffusionImages); break; default: ItkTensorReconstruction(m_DiffusionImages); } } void QmitkTensorReconstructionView::TensorReconstructionWithCorr (mitk::DataStorage::SetOfObjects::Pointer inImages) { try { int nrFiles = inImages->size(); if (!nrFiles) return; QString status; mitk::ProgressBar::GetInstance()->AddStepsToDo(nrFiles); mitk::DataStorage::SetOfObjects::const_iterator itemiter( inImages->begin() ); mitk::DataStorage::SetOfObjects::const_iterator itemiterend( inImages->end() ); while ( itemiter != itemiterend ) // for all items { mitk::Image* vols = static_cast((*itemiter)->GetData()); std::string nodename; (*itemiter)->GetStringProperty("name", nodename); // TENSOR RECONSTRUCTION MITK_INFO << "Tensor reconstruction with correction for negative eigenvalues"; mitk::StatusBar::GetInstance()->DisplayText(status.sprintf("Tensor reconstruction for %s", nodename.c_str()).toLatin1()); typedef itk::TensorReconstructionWithEigenvalueCorrectionFilter< DiffusionPixelType, TTensorPixelType > ReconstructionFilter; float b0Threshold = m_Controls->m_TensorReconstructionThreshold->value(); GradientDirectionContainerType::Pointer gradientContainerCopy = GradientDirectionContainerType::New(); for(GradientDirectionContainerType::ConstIterator it = static_cast( vols->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer()->Begin(); it != static_cast( vols->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer()->End(); it++) { gradientContainerCopy->push_back(it.Value()); } ITKDiffusionImageType::Pointer itkVectorImagePointer = ITKDiffusionImageType::New(); mitk::CastToItkImage(vols, itkVectorImagePointer); ReconstructionFilter::Pointer reconFilter = ReconstructionFilter::New(); reconFilter->SetBValue( static_cast(vols->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue() ); reconFilter->SetGradientImage( gradientContainerCopy, itkVectorImagePointer); reconFilter->SetB0Threshold(b0Threshold); reconFilter->Update(); typedef mitk::TensorImage::ItkTensorImageType TensorImageType; TensorImageType::Pointer outputTensorImg = reconFilter->GetOutput(); typedef itk::ImageRegionIterator TensorImageIteratorType; TensorImageIteratorType tensorIt(outputTensorImg, outputTensorImg->GetRequestedRegion()); tensorIt.GoToBegin(); int negatives = 0; while(!tensorIt.IsAtEnd()) { typedef mitk::TensorImage::PixelType TensorType; TensorType tensor = tensorIt.Get(); TensorType::EigenValuesArrayType ev; tensor.ComputeEigenValues(ev); for(unsigned int i=0; iInitializeByItk( outputTensorImg.GetPointer() ); image->SetVolume( outputTensorImg->GetBufferPointer() ); mitk::DataNode::Pointer node=mitk::DataNode::New(); node->SetData( image ); SetDefaultNodeProperties(node, nodename+"_EigenvalueCorrected_DT"); GetDataStorage()->Add(node, *itemiter); mitk::ProgressBar::GetInstance()->Progress(); ++itemiter; } mitk::StatusBar::GetInstance()->DisplayText(status.sprintf("Finished Processing %d Files", nrFiles).toLatin1()); this->GetRenderWindowPart()->RequestUpdate(); } catch (itk::ExceptionObject &ex) { MITK_INFO << ex ; QMessageBox::information(0, "Reconstruction not possible:", ex.GetDescription()); } } void QmitkTensorReconstructionView::ItkTensorReconstruction(mitk::DataStorage::SetOfObjects::Pointer inImages) { try { itk::TimeProbe clock; int nrFiles = inImages->size(); if (!nrFiles) return; QString status; mitk::ProgressBar::GetInstance()->AddStepsToDo(nrFiles); mitk::DataStorage::SetOfObjects::const_iterator itemiter( inImages->begin() ); mitk::DataStorage::SetOfObjects::const_iterator itemiterend( inImages->end() ); while ( itemiter != itemiterend ) // for all items { mitk::Image* vols = static_cast( (*itemiter)->GetData()); std::string nodename; (*itemiter)->GetStringProperty("name", nodename); // TENSOR RECONSTRUCTION clock.Start(); MITK_DEBUG << "Tensor reconstruction "; mitk::StatusBar::GetInstance()->DisplayText(status.sprintf("Tensor reconstruction for %s", nodename.c_str()).toLatin1()); typedef itk::DiffusionTensor3DReconstructionImageFilter< DiffusionPixelType, DiffusionPixelType, TTensorPixelType > TensorReconstructionImageFilterType; TensorReconstructionImageFilterType::Pointer tensorReconstructionFilter = TensorReconstructionImageFilterType::New(); GradientDirectionContainerType::Pointer gradientContainerCopy = GradientDirectionContainerType::New(); for(GradientDirectionContainerType::ConstIterator it = static_cast( vols->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer()->Begin(); it != static_cast( vols->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer()->End(); it++) { gradientContainerCopy->push_back(it.Value()); } ITKDiffusionImageType::Pointer itkVectorImagePointer = ITKDiffusionImageType::New(); mitk::CastToItkImage(vols, itkVectorImagePointer); tensorReconstructionFilter->SetBValue( static_cast(vols->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue() ); tensorReconstructionFilter->SetGradientImage( gradientContainerCopy, itkVectorImagePointer ); tensorReconstructionFilter->SetThreshold( m_Controls->m_TensorReconstructionThreshold->value() ); tensorReconstructionFilter->Update(); clock.Stop(); MITK_DEBUG << "took " << clock.GetMean() << "s."; // TENSORS TO DATATREE mitk::TensorImage::Pointer image = mitk::TensorImage::New(); typedef mitk::TensorImage::ItkTensorImageType TensorImageType; TensorImageType::Pointer tensorImage; tensorImage = tensorReconstructionFilter->GetOutput(); // Check the tensor for negative eigenvalues if(m_Controls->m_CheckNegativeEigenvalues->isChecked()) { typedef itk::ImageRegionIterator TensorImageIteratorType; TensorImageIteratorType tensorIt(tensorImage, tensorImage->GetRequestedRegion()); tensorIt.GoToBegin(); while(!tensorIt.IsAtEnd()) { typedef mitk::TensorImage::PixelType TensorType; //typedef itk::Tensor TensorType2; TensorType tensor = tensorIt.Get(); TensorType::EigenValuesArrayType ev; tensor.ComputeEigenValues(ev); for(unsigned int i=0; iSetDirection( itkVectorImagePointer->GetDirection() ); image->InitializeByItk( tensorImage.GetPointer() ); image->SetVolume( tensorReconstructionFilter->GetOutput()->GetBufferPointer() ); mitk::DataNode::Pointer node=mitk::DataNode::New(); node->SetData( image ); SetDefaultNodeProperties(node, nodename+"_LinearLeastSquares_DT"); GetDataStorage()->Add(node, *itemiter); mitk::ProgressBar::GetInstance()->Progress(); ++itemiter; } mitk::StatusBar::GetInstance()->DisplayText(status.sprintf("Finished Processing %d Files", nrFiles).toLatin1()); this->GetRenderWindowPart()->RequestUpdate(); } catch (itk::ExceptionObject &ex) { MITK_INFO << ex ; QMessageBox::information(0, "Reconstruction not possible:", ex.GetDescription()); return; } } void QmitkTensorReconstructionView::SetDefaultNodeProperties(mitk::DataNode::Pointer node, std::string name) { node->SetProperty( "ShowMaxNumber", mitk::IntProperty::New( 500 ) ); node->SetProperty( "Scaling", mitk::FloatProperty::New( 1.0 ) ); node->SetProperty( "Normalization", mitk::OdfNormalizationMethodProperty::New()); node->SetProperty( "ScaleBy", mitk::OdfScaleByProperty::New()); node->SetProperty( "IndexParam1", mitk::FloatProperty::New(2)); node->SetProperty( "IndexParam2", mitk::FloatProperty::New(1)); node->SetProperty( "visible", mitk::BoolProperty::New( true ) ); node->SetProperty( "VisibleOdfs", mitk::BoolProperty::New( false ) ); node->SetProperty ("layer", mitk::IntProperty::New(100)); node->SetProperty( "DoRefresh", mitk::BoolProperty::New( true ) ); node->SetProperty( "name", mitk::StringProperty::New(name) ); } void QmitkTensorReconstructionView::TensorsToDWI() { DoTensorsToDWI(m_TensorImages); } void QmitkTensorReconstructionView::TensorsToOdf() { for (unsigned int i=0; isize(); i++) { mitk::DataNode::Pointer tensorImageNode = m_TensorImages->at(i); MITK_INFO << "starting ODF estimation"; typedef mitk::TensorImage::ScalarPixelType TTensorPixelType; typedef mitk::TensorImage::PixelType TensorPixelType; typedef mitk::TensorImage::ItkTensorImageType TensorImageType; TensorImageType::Pointer itkvol = TensorImageType::New(); mitk::CastToItkImage(dynamic_cast(tensorImageNode->GetData()), itkvol); typedef itk::TensorImageToOdfImageFilter< TTensorPixelType, TTensorPixelType > FilterType; FilterType::Pointer filter = FilterType::New(); filter->SetInput( itkvol ); filter->Update(); typedef itk::Vector OutputPixelType; typedef itk::Image OutputImageType; mitk::OdfImage::Pointer image = mitk::OdfImage::New(); OutputImageType::Pointer outimg = filter->GetOutput(); image->InitializeByItk( outimg.GetPointer() ); image->SetVolume( outimg->GetBufferPointer() ); mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData( image ); node->SetName(tensorImageNode->GetName()+"_Odf"); GetDataStorage()->Add(node, tensorImageNode); } } void QmitkTensorReconstructionView::OnSelectionChanged(berry::IWorkbenchPart::Pointer /*part*/, const QList& nodes) { m_DiffusionImages = mitk::DataStorage::SetOfObjects::New(); m_TensorImages = mitk::DataStorage::SetOfObjects::New(); bool foundDwiVolume = false; bool foundTensorVolume = false; m_Controls->m_DiffusionImageLabel->setText("mandatory"); m_DiffusionImage = nullptr; m_TensorImage = nullptr; m_Controls->m_InputData->setTitle("Please Select Input Data"); // iterate selection for (mitk::DataNode::Pointer node: nodes) { if (node.IsNull()) continue; // only look at interesting types bool isDiffusionImage( mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( dynamic_cast(node->GetData())) ); if ( isDiffusionImage ) { foundDwiVolume = true; m_Controls->m_DiffusionImageLabel->setText(node->GetName().c_str()); m_DiffusionImages->push_back(node); m_DiffusionImage = node; } else if(dynamic_cast(node->GetData())) { foundTensorVolume = true; m_Controls->m_DiffusionImageLabel->setText(node->GetName().c_str()); m_TensorImages->push_back(node); m_TensorImage = node; } } m_Controls->m_StartReconstruction->setEnabled(foundDwiVolume); m_Controls->m_TensorsToDWIButton->setEnabled(foundTensorVolume); m_Controls->m_TensorsToOdfButton->setEnabled(foundTensorVolume); if (foundDwiVolume || foundTensorVolume) m_Controls->m_InputData->setTitle("Input Data"); m_Controls->m_ResidualButton->setEnabled(foundDwiVolume && foundTensorVolume); m_Controls->m_PercentagesOfOutliers->setEnabled(foundDwiVolume && foundTensorVolume); m_Controls->m_PerSliceView->setEnabled(foundDwiVolume && foundTensorVolume); } template itk::VectorContainer >::Pointer QmitkTensorReconstructionView::MakeGradientList() { itk::VectorContainer >::Pointer retval = itk::VectorContainer >::New(); vnl_matrix_fixed* U = itk::PointShell >::DistributePointShell(); for(int i=0; i v; v[0] = U->get(0,i); v[1] = U->get(1,i); v[2] = U->get(2,i); retval->push_back(v); } // Add 0 vector for B0 vnl_vector_fixed v; v.fill(0.0); retval->push_back(v); return retval; } void QmitkTensorReconstructionView::DoTensorsToDWI(mitk::DataStorage::SetOfObjects::Pointer inImages) { try { itk::TimeProbe clock; int nrFiles = inImages->size(); if (!nrFiles) return; QString status; mitk::ProgressBar::GetInstance()->AddStepsToDo(nrFiles); mitk::DataStorage::SetOfObjects::const_iterator itemiter( inImages->begin() ); mitk::DataStorage::SetOfObjects::const_iterator itemiterend( inImages->end() ); while ( itemiter != itemiterend ) // for all items { std::string nodename; (*itemiter)->GetStringProperty("name", nodename); mitk::TensorImage* vol = static_cast((*itemiter)->GetData()); typedef mitk::TensorImage::ScalarPixelType TTensorPixelType; typedef mitk::TensorImage::PixelType TensorPixelType; typedef mitk::TensorImage::ItkTensorImageType TensorImageType; TensorImageType::Pointer itkvol = TensorImageType::New(); mitk::CastToItkImage(vol, itkvol); typedef itk::TensorImageToDiffusionImageFilter< TTensorPixelType, DiffusionPixelType > FilterType; FilterType::GradientListPointerType gradientList = FilterType::GradientListType::New(); switch(m_Controls->m_TensorsToDWINumDirsSelect->currentIndex()) { case 0: gradientList = MakeGradientList<12>(); break; case 1: gradientList = MakeGradientList<42>(); break; case 2: gradientList = MakeGradientList<92>(); break; case 3: gradientList = MakeGradientList<162>(); break; case 4: gradientList = MakeGradientList<252>(); break; case 5: gradientList = MakeGradientList<362>(); break; case 6: gradientList = MakeGradientList<492>(); break; case 7: gradientList = MakeGradientList<642>(); break; case 8: gradientList = MakeGradientList<812>(); break; case 9: gradientList = MakeGradientList<1002>(); break; default: gradientList = MakeGradientList<92>(); } double bVal = m_Controls->m_TensorsToDWIBValueEdit->text().toDouble(); // DWI ESTIMATION clock.Start(); MBI_INFO << "DWI Estimation "; mitk::StatusBar::GetInstance()->DisplayText(status.sprintf( "DWI Estimation for %s", nodename.c_str()).toLatin1()); FilterType::Pointer filter = FilterType::New(); filter->SetInput( itkvol ); filter->SetBValue(bVal); filter->SetGradientList(gradientList); //filter->SetNumberOfThreads(1); filter->Update(); clock.Stop(); MBI_DEBUG << "took " << clock.GetMean() << "s."; // TENSORS TO DATATREE mitk::Image::Pointer image = mitk::GrabItkImageMemory( filter->GetOutput() ); image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( gradientList ) ); image->SetProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( bVal ) ); image->GetPropertyList()->ReplaceProperty( mitk::DiffusionPropertyHelper::MEASUREMENTFRAMEPROPERTYNAME.c_str(), mitk::MeasurementFrameProperty::New() ); mitk::DiffusionPropertyHelper propertyHelper( image ); propertyHelper.InitializeImage(); mitk::DataNode::Pointer node=mitk::DataNode::New(); node->SetData( image ); mitk::ImageVtkMapper2D::SetDefaultProperties(node); node->SetName(nodename+"_DWI"); GetDataStorage()->Add(node, *itemiter); mitk::ProgressBar::GetInstance()->Progress(); ++itemiter; } mitk::StatusBar::GetInstance()->DisplayText(status.sprintf("Finished Processing %d Files", nrFiles).toLatin1()); this->GetRenderWindowPart()->RequestUpdate(); } catch (itk::ExceptionObject &ex) { MITK_INFO << ex ; QMessageBox::information(0, "DWI estimation failed:", ex.GetDescription()); return ; } } void QmitkTensorReconstructionView::PreviewThreshold(int threshold) { mitk::DataStorage::SetOfObjects::const_iterator itemiter( m_DiffusionImages->begin() ); mitk::DataStorage::SetOfObjects::const_iterator itemiterend( m_DiffusionImages->end() ); while ( itemiter != itemiterend ) // for all items { mitk::Image* vols = static_cast( (*itemiter)->GetData()); ITKDiffusionImageType::Pointer itkVectorImagePointer = ITKDiffusionImageType::New(); mitk::CastToItkImage(vols, itkVectorImagePointer); // Extract b0 image typedef itk::B0ImageExtractionImageFilter FilterType; FilterType::Pointer filterB0 = FilterType::New(); filterB0->SetInput(itkVectorImagePointer); filterB0->SetDirections(mitk::DiffusionPropertyHelper::GetGradientContainer(vols)); filterB0->Update(); mitk::Image::Pointer mitkImage = mitk::Image::New(); typedef itk::Image ImageType; typedef itk::Image SegmentationType; typedef itk::BinaryThresholdImageFilter ThresholdFilterType; // apply threshold ThresholdFilterType::Pointer filterThreshold = ThresholdFilterType::New(); filterThreshold->SetInput(filterB0->GetOutput()); filterThreshold->SetLowerThreshold(threshold); filterThreshold->SetInsideValue(0); filterThreshold->SetOutsideValue(1); // mark cut off values red filterThreshold->Update(); mitkImage->InitializeByItk( filterThreshold->GetOutput() ); mitkImage->SetVolume( filterThreshold->GetOutput()->GetBufferPointer() ); mitk::DataNode::Pointer node; if (this->GetDataStorage()->GetNamedDerivedNode("ThresholdOverlay", *itemiter)) { node = this->GetDataStorage()->GetNamedDerivedNode("ThresholdOverlay", *itemiter); } else { // create a new node, to show thresholded values node = mitk::DataNode::New(); GetDataStorage()->Add( node, *itemiter ); node->SetProperty( "name", mitk::StringProperty::New("ThresholdOverlay")); node->SetBoolProperty("helper object", true); } node->SetData( mitkImage ); itemiter++; mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } } diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkTensorReconstructionViewControls.ui b/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkTensorReconstructionViewControls.ui index 335f0311a8..784ebe5fd8 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkTensorReconstructionViewControls.ui +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.reconstruction/src/internal/QmitkTensorReconstructionViewControls.ui @@ -1,562 +1,644 @@ QmitkTensorReconstructionViewControls 0 0 381 1019 0 0 true QmitkTensorReconstructionViewControls Please Select Input Data: + + 0 + + + 0 + + + 0 + + + 0 + <html><head/><body><p><span style=" color:#ff0000;">mandatory</span></p></body></html> true Raw DWI/DTI: - Tensor reconstruction and colormap visualization + Tensor Reconstruction + + 0 + + + 0 + + + 0 + + + 0 + Advanced Settings false QFrame::StyledPanel QFrame::Raised 9 9 9 9 QFrame::NoFrame QFrame::Raised 0 0 0 0 B0 Threshold false 10000 Only influences WLS reconstruction Ignore voxels with negative eigenvalues 0 ITK Linear Least Squares With correction for negative eigenvalues false Select raw DWI! Start Reconstruction - Estimate Diffusion Weighted Image from Tensors + Diffusion-weighted Image from Tensors + + 0 + + + 0 + + + 0 + + + 0 + + + 0 + QFrame::NoFrame QFrame::Raised QFormLayout::AllNonFixedFieldsGrow 6 6 0 0 0 0 how fuzzy the confidence boundary should be. By default, confidence boundary is perfectly sharp (float); default: "0" how fuzzy the confidence boundary should be. By default, confidence boundary is perfectly sharp (float); default: "0" how fuzzy the confidence boundary should be. By default, confidence boundary is perfectly sharp (float); default: "0" B-Value false #Gradient Directions 3 12 42 92 162 252 362 492 642 812 1002 10000 100 1000 false Estimates the original diffusion weighted image based on a reconstructed tensor image. Estimate DWI based on Tensor Image - Estimate ODF Image from Tensors + ODF Image from Tensors + + 0 + + + 0 + + + 0 + + + 0 + + + 0 + false Calculate ODF value as tensor value in the according direction - Start ODF Estimation + Start - Estimate Residuals + Calculate Residuals false false + + 0 + + + 0 + + + 0 + + + 0 + + + 0 + false percentages of error - 1 + 0 Per volume 200 300 Per slice outliers per slice QFrame::NoFrame QFrame::Raised 0 0 0 0 300 400 QFrame::NoFrame QFrame::Raised 0 0 0 0 20 255 Volume: .., Slice:.. false Calculate the residual from a dti and a dwi image - Residual Image Calculation + Start + + + + Qt::Vertical + + + + 20 + 40 + + + + QmitkResidualAnalysisWidget QWidget
QmitkResidualAnalysisWidget.h
1 QmitkResidualViewWidget QGraphicsView
QmitkResidualViewWidget.h
 diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.tractography/src/internal/QmitkStreamlineTrackingView.cpp b/Plugins/org.mitk.gui.qt.diffusionimaging.tractography/src/internal/QmitkStreamlineTrackingView.cpp index 2257778a7e..be53ab681c 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.tractography/src/internal/QmitkStreamlineTrackingView.cpp +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.tractography/src/internal/QmitkStreamlineTrackingView.cpp @@ -1,859 +1,859 @@ /*=================================================================== The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center, Division of Medical and Biological Informatics. All rights reserved. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See LICENSE.txt or http://www.mitk.org for details. ===================================================================*/ // Blueberry #include #include #include // Qmitk #include "QmitkStreamlineTrackingView.h" #include "QmitkStdMultiWidget.h" // Qt #include // MITK #include #include #include #include #include #include #include #include #include #include #include #include // VTK #include #include #include #include #include #include #include #include #include const std::string QmitkStreamlineTrackingView::VIEW_ID = "org.mitk.views.streamlinetracking"; const std::string id_DataManager = "org.mitk.views.datamanager"; using namespace berry; QmitkStreamlineTrackingWorker::QmitkStreamlineTrackingWorker(QmitkStreamlineTrackingView* view) : m_View(view) { } void QmitkStreamlineTrackingWorker::run() { m_View->m_Tracker->Update(); m_View->m_TrackingThread.quit(); } QmitkStreamlineTrackingView::QmitkStreamlineTrackingView() : m_TrackingWorker(this) , m_Controls(nullptr) , m_FirstTensorProbRun(true) , m_FirstInteractiveRun(true) , m_TrackingHandler(nullptr) , m_ThreadIsRunning(false) , m_DeleteTrackingHandler(false) { m_TrackingWorker.moveToThread(&m_TrackingThread); connect(&m_TrackingThread, SIGNAL(started()), this, SLOT(BeforeThread())); connect(&m_TrackingThread, SIGNAL(started()), &m_TrackingWorker, SLOT(run())); connect(&m_TrackingThread, SIGNAL(finished()), this, SLOT(AfterThread())); m_TrackingTimer = new QTimer(this); } // Destructor QmitkStreamlineTrackingView::~QmitkStreamlineTrackingView() { if (m_Tracker.IsNull()) return; m_Tracker->SetStopTracking(true); m_TrackingThread.wait(); } void QmitkStreamlineTrackingView::CreateQtPartControl( QWidget *parent ) { if ( !m_Controls ) { // create GUI widgets from the Qt Designer's .ui file m_Controls = new Ui::QmitkStreamlineTrackingViewControls; m_Controls->setupUi( parent ); m_Controls->m_FaImageBox->SetDataStorage(this->GetDataStorage()); m_Controls->m_SeedImageBox->SetDataStorage(this->GetDataStorage()); m_Controls->m_MaskImageBox->SetDataStorage(this->GetDataStorage()); m_Controls->m_TargetImageBox->SetDataStorage(this->GetDataStorage()); m_Controls->m_StopImageBox->SetDataStorage(this->GetDataStorage()); m_Controls->m_TissueImageBox->SetDataStorage(this->GetDataStorage()); m_Controls->m_ForestBox->SetDataStorage(this->GetDataStorage()); mitk::TNodePredicateDataType::Pointer isImagePredicate = mitk::TNodePredicateDataType::New(); mitk::TNodePredicateDataType::Pointer isTractographyForest = mitk::TNodePredicateDataType::New(); mitk::NodePredicateProperty::Pointer isBinaryPredicate = mitk::NodePredicateProperty::New("binary", mitk::BoolProperty::New(true)); mitk::NodePredicateNot::Pointer isNotBinaryPredicate = mitk::NodePredicateNot::New( isBinaryPredicate ); mitk::NodePredicateAnd::Pointer isNotABinaryImagePredicate = mitk::NodePredicateAnd::New( isImagePredicate, isNotBinaryPredicate ); mitk::NodePredicateDimension::Pointer dimensionPredicate = mitk::NodePredicateDimension::New(3); m_Controls->m_ForestBox->SetPredicate(isTractographyForest); m_Controls->m_FaImageBox->SetPredicate( mitk::NodePredicateAnd::New(isNotABinaryImagePredicate, dimensionPredicate) ); m_Controls->m_FaImageBox->SetZeroEntryText("--"); m_Controls->m_SeedImageBox->SetPredicate( mitk::NodePredicateAnd::New(isBinaryPredicate, dimensionPredicate) ); m_Controls->m_SeedImageBox->SetZeroEntryText("--"); m_Controls->m_MaskImageBox->SetPredicate( mitk::NodePredicateAnd::New(isBinaryPredicate, dimensionPredicate) ); m_Controls->m_MaskImageBox->SetZeroEntryText("--"); m_Controls->m_StopImageBox->SetPredicate( mitk::NodePredicateAnd::New(isBinaryPredicate, dimensionPredicate) ); m_Controls->m_StopImageBox->SetZeroEntryText("--"); m_Controls->m_TargetImageBox->SetPredicate( dimensionPredicate ); m_Controls->m_TargetImageBox->SetZeroEntryText("--"); m_Controls->m_TissueImageBox->SetPredicate( mitk::NodePredicateAnd::New(isNotABinaryImagePredicate, dimensionPredicate) ); m_Controls->m_TissueImageBox->SetZeroEntryText("--"); connect( m_TrackingTimer, SIGNAL(timeout()), this, SLOT(TimerUpdate()) ); connect( m_Controls->commandLinkButton_2, SIGNAL(clicked()), this, SLOT(StopTractography()) ); connect( m_Controls->commandLinkButton, SIGNAL(clicked()), this, SLOT(DoFiberTracking()) ); connect( m_Controls->m_InteractiveBox, SIGNAL(stateChanged(int)), this, SLOT(ToggleInteractive()) ); connect( m_Controls->m_TissueImageBox, SIGNAL(currentIndexChanged(int)), this, SLOT(UpdateGui()) ); connect( m_Controls->m_ModeBox, SIGNAL(currentIndexChanged(int)), this, SLOT(UpdateGui()) ); connect( m_Controls->m_FaImageBox, SIGNAL(currentIndexChanged(int)), this, SLOT(DeleteTrackingHandler()) ); connect( m_Controls->m_ModeBox, SIGNAL(currentIndexChanged(int)), this, SLOT(DeleteTrackingHandler()) ); connect( m_Controls->m_OutputProbMap, SIGNAL(stateChanged(int)), this, SLOT(OutputStyleSwitched()) ); connect( m_Controls->m_ModeBox, SIGNAL(currentIndexChanged(int)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_StopImageBox, SIGNAL(currentIndexChanged(int)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_TargetImageBox, SIGNAL(currentIndexChanged(int)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_MaskImageBox, SIGNAL(currentIndexChanged(int)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_FaImageBox, SIGNAL(currentIndexChanged(int)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_ForestBox, SIGNAL(currentIndexChanged(int)), this, SLOT(ForestSwitched()) ); connect( m_Controls->m_ForestBox, SIGNAL(currentIndexChanged(int)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_SeedsPerVoxelBox, SIGNAL(valueChanged(int)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_NumFibersBox, SIGNAL(valueChanged(int)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_ScalarThresholdBox, SIGNAL(valueChanged(double)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_OdfCutoffBox, SIGNAL(valueChanged(double)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_StepSizeBox, SIGNAL(valueChanged(double)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_SamplingDistanceBox, SIGNAL(valueChanged(double)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_AngularThresholdBox, SIGNAL(valueChanged(int)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_MinTractLengthBox, SIGNAL(valueChanged(double)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_fBox, SIGNAL(valueChanged(double)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_gBox, SIGNAL(valueChanged(double)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_NumSamplesBox, SIGNAL(valueChanged(int)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_SeedRadiusBox, SIGNAL(valueChanged(double)), this, SLOT(InteractiveSeedChanged()) ); connect( m_Controls->m_NumSeedsBox, SIGNAL(valueChanged(int)), this, SLOT(InteractiveSeedChanged()) ); connect( m_Controls->m_OutputProbMap, SIGNAL(stateChanged(int)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_SharpenOdfsBox, SIGNAL(stateChanged(int)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_InterpolationBox, SIGNAL(stateChanged(int)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_MaskInterpolationBox, SIGNAL(stateChanged(int)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_SeedGmBox, SIGNAL(stateChanged(int)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_FlipXBox, SIGNAL(stateChanged(int)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_FlipYBox, SIGNAL(stateChanged(int)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_FlipZBox, SIGNAL(stateChanged(int)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_FrontalSamplesBox, SIGNAL(stateChanged(int)), this, SLOT(OnParameterChanged()) ); connect( m_Controls->m_StopVotesBox, SIGNAL(stateChanged(int)), this, SLOT(OnParameterChanged()) ); StartStopTrackingGui(false); } UpdateGui(); } void QmitkStreamlineTrackingView::StopTractography() { if (m_Tracker.IsNull()) return; m_Tracker->SetStopTracking(true); } void QmitkStreamlineTrackingView::TimerUpdate() { if (m_Tracker.IsNull()) return; QString status_text(m_Tracker->GetStatusText().c_str()); m_Controls->m_StatusTextBox->setText(status_text); } void QmitkStreamlineTrackingView::BeforeThread() { m_TrackingTimer->start(1000); } void QmitkStreamlineTrackingView::AfterThread() { m_TrackingTimer->stop(); if (!m_Tracker->GetUseOutputProbabilityMap()) { vtkSmartPointer fiberBundle = m_Tracker->GetFiberPolyData(); if (!m_Controls->m_InteractiveBox->isChecked() && fiberBundle->GetNumberOfLines() == 0) { QMessageBox warnBox; warnBox.setWindowTitle("Warning"); warnBox.setText("No fiberbundle was generated!"); warnBox.setDetailedText("No fibers were generated using the chosen parameters. Typical reasons are:\n\n- Cutoff too high. Some images feature very low FA/GFA/peak size. Try to lower this parameter.\n- Angular threshold too strict. Try to increase this parameter.\n- A small step sizes also means many steps to go wrong. Especially in the case of probabilistic tractography. Try to adjust the angular threshold."); warnBox.setIcon(QMessageBox::Warning); warnBox.exec(); if (m_InteractivePointSetNode.IsNotNull()) m_InteractivePointSetNode->SetProperty("color", mitk::ColorProperty::New(1,1,1)); StartStopTrackingGui(false); if (m_DeleteTrackingHandler) DeleteTrackingHandler(); UpdateGui(); return; } mitk::FiberBundle::Pointer fib = mitk::FiberBundle::New(fiberBundle); fib->SetReferenceGeometry(dynamic_cast(m_ParentNode->GetData())->GetGeometry()); if (m_Controls->m_ResampleFibersBox->isChecked() && fiberBundle->GetNumberOfLines()>0) fib->Compress(m_Controls->m_FiberErrorBox->value()); fib->ColorFibersByOrientation(); m_Tracker->SetDicomProperties(fib); if (m_Controls->m_InteractiveBox->isChecked()) { if (m_InteractiveNode.IsNull()) { m_InteractiveNode = mitk::DataNode::New(); QString name("Interactive"); m_InteractiveNode->SetName(name.toStdString()); GetDataStorage()->Add(m_InteractiveNode); } m_InteractiveNode->SetData(fib); if (auto renderWindowPart = this->GetRenderWindowPart()) renderWindowPart->RequestUpdate(); } else { mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData(fib); QString name("FiberBundle_"); name += m_ParentNode->GetName().c_str(); name += "_Streamline"; node->SetName(name.toStdString()); GetDataStorage()->Add(node, m_ParentNode); } } else { TrackerType::ItkDoubleImgType::Pointer outImg = m_Tracker->GetOutputProbabilityMap(); mitk::Image::Pointer img = mitk::Image::New(); img->InitializeByItk(outImg.GetPointer()); img->SetVolume(outImg->GetBufferPointer()); if (m_Controls->m_InteractiveBox->isChecked()) { if (m_InteractiveNode.IsNull()) { m_InteractiveNode = mitk::DataNode::New(); QString name("Interactive"); m_InteractiveNode->SetName(name.toStdString()); GetDataStorage()->Add(m_InteractiveNode); } m_InteractiveNode->SetData(img); mitk::LookupTable::Pointer lut = mitk::LookupTable::New(); lut->SetType(mitk::LookupTable::JET_TRANSPARENT); mitk::LookupTableProperty::Pointer lut_prop = mitk::LookupTableProperty::New(); lut_prop->SetLookupTable(lut); m_InteractiveNode->SetProperty("LookupTable", lut_prop); m_InteractiveNode->SetProperty("opacity", mitk::FloatProperty::New(0.5)); if (auto renderWindowPart = this->GetRenderWindowPart()) renderWindowPart->RequestUpdate(); } else { mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData(img); QString name("ProbabilityMap_"); name += m_ParentNode->GetName().c_str(); node->SetName(name.toStdString()); mitk::LookupTable::Pointer lut = mitk::LookupTable::New(); lut->SetType(mitk::LookupTable::JET_TRANSPARENT); mitk::LookupTableProperty::Pointer lut_prop = mitk::LookupTableProperty::New(); lut_prop->SetLookupTable(lut); node->SetProperty("LookupTable", lut_prop); node->SetProperty("opacity", mitk::FloatProperty::New(0.5)); GetDataStorage()->Add(node, m_ParentNode); } } if (m_InteractivePointSetNode.IsNotNull()) m_InteractivePointSetNode->SetProperty("color", mitk::ColorProperty::New(1,1,1)); StartStopTrackingGui(false); if (m_DeleteTrackingHandler) DeleteTrackingHandler(); UpdateGui(); } void QmitkStreamlineTrackingView::InteractiveSeedChanged(bool posChanged) { if (m_ThreadIsRunning) return; if (!posChanged && (!m_Controls->m_InteractiveBox->isChecked() || !m_Controls->m_ParamUpdateBox->isChecked())) return; std::srand(std::time(0)); m_SeedPoints.clear(); itk::Point world_pos = this->GetRenderWindowPart()->GetSelectedPosition(); m_SeedPoints.push_back(world_pos); float radius = m_Controls->m_SeedRadiusBox->value(); int num = m_Controls->m_NumSeedsBox->value(); mitk::PointSet::Pointer pointset = mitk::PointSet::New(); pointset->InsertPoint(0, world_pos); m_InteractivePointSetNode->SetProperty("pointsize", mitk::FloatProperty::New(radius*2)); m_InteractivePointSetNode->SetProperty("point 2D size", mitk::FloatProperty::New(radius*2)); m_InteractivePointSetNode->SetData(pointset); for (int i=1; i p; p[0] = rand()%1000-500; p[1] = rand()%1000-500; p[2] = rand()%1000-500; p.Normalize(); p *= radius; m_SeedPoints.push_back(world_pos+p); } m_InteractivePointSetNode->SetProperty("color", mitk::ColorProperty::New(1,0,0)); DoFiberTracking(); } void QmitkStreamlineTrackingView::OnParameterChanged() { if (m_Controls->m_InteractiveBox->isChecked() && m_Controls->m_ParamUpdateBox->isChecked()) DoFiberTracking(); } void QmitkStreamlineTrackingView::ToggleInteractive() { UpdateGui(); m_Controls->m_SeedsPerVoxelBox->setEnabled(!m_Controls->m_InteractiveBox->isChecked()); m_Controls->m_SeedsPerVoxelLabel->setEnabled(!m_Controls->m_InteractiveBox->isChecked()); m_Controls->m_SeedGmBox->setEnabled(!m_Controls->m_InteractiveBox->isChecked()); m_Controls->m_SeedImageBox->setEnabled(!m_Controls->m_InteractiveBox->isChecked()); m_Controls->label_6->setEnabled(!m_Controls->m_InteractiveBox->isChecked()); m_Controls->m_TissueImageBox->setEnabled(!m_Controls->m_InteractiveBox->isChecked()); m_Controls->label_10->setEnabled(!m_Controls->m_InteractiveBox->isChecked()); if ( m_Controls->m_InteractiveBox->isChecked() ) { if (m_FirstInteractiveRun) { QMessageBox::information(nullptr, "Information", "Place and move a spherical seed region anywhere in the image by left-clicking and dragging. If the seed region is colored red, tracking is in progress. If the seed region is colored white, tracking is finished.\nPlacing the seed region for the first time in a newly selected dataset might cause a short delay, since the tracker needs to be initialized."); m_FirstInteractiveRun = false; } QApplication::setOverrideCursor(Qt::PointingHandCursor); QApplication::processEvents(); m_InteractivePointSetNode = mitk::DataNode::New(); m_InteractivePointSetNode->SetProperty("color", mitk::ColorProperty::New(1,1,1)); m_InteractivePointSetNode->SetName("InteractiveSeedRegion"); mitk::PointSetShapeProperty::Pointer shape_prop = mitk::PointSetShapeProperty::New(); shape_prop->SetValue(mitk::PointSetShapeProperty::PointSetShape::CIRCLE); m_InteractivePointSetNode->SetProperty("Pointset.2D.shape", shape_prop); GetDataStorage()->Add(m_InteractivePointSetNode); m_SliceChangeListener.RenderWindowPartActivated(this->GetRenderWindowPart()); connect(&m_SliceChangeListener, SIGNAL(SliceChanged()), this, SLOT(OnSliceChanged())); } else { QApplication::restoreOverrideCursor(); QApplication::processEvents(); m_InteractiveNode = nullptr; m_InteractivePointSetNode = nullptr; m_SliceChangeListener.RenderWindowPartActivated(this->GetRenderWindowPart()); disconnect(&m_SliceChangeListener, SIGNAL(SliceChanged()), this, SLOT(OnSliceChanged())); } } void QmitkStreamlineTrackingView::OnSliceChanged() { InteractiveSeedChanged(true); } void QmitkStreamlineTrackingView::SetFocus() { } void QmitkStreamlineTrackingView::DeleteTrackingHandler() { if (!m_ThreadIsRunning && m_TrackingHandler != nullptr) { delete m_TrackingHandler; m_TrackingHandler = nullptr; m_DeleteTrackingHandler = false; } else if (m_ThreadIsRunning) { m_DeleteTrackingHandler = true; } } void QmitkStreamlineTrackingView::ForestSwitched() { DeleteTrackingHandler(); } void QmitkStreamlineTrackingView::OutputStyleSwitched() { if (m_InteractiveNode.IsNotNull()) GetDataStorage()->Remove(m_InteractiveNode); m_InteractiveNode = nullptr; } void QmitkStreamlineTrackingView::OnSelectionChanged( berry::IWorkbenchPart::Pointer , const QList& nodes ) { std::vector< mitk::DataNode::Pointer > last_nodes = m_InputImageNodes; m_InputImageNodes.clear(); m_InputImages.clear(); m_AdditionalInputImages.clear(); bool retrack = false; for( auto node : nodes ) { if( node.IsNotNull() && dynamic_cast(node->GetData()) ) { if( dynamic_cast(node->GetData()) ) { m_InputImageNodes.push_back(node); m_InputImages.push_back(dynamic_cast(node->GetData())); retrack = true; } else if ( dynamic_cast(node->GetData()) ) { m_InputImageNodes.push_back(node); m_InputImages.push_back(dynamic_cast(node->GetData())); retrack = true; } else if ( mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( dynamic_cast(node->GetData())) ) { m_InputImageNodes.push_back(node); m_InputImages.push_back(dynamic_cast(node->GetData())); retrack = true; } else { mitk::Image* img = dynamic_cast(node->GetData()); if (img!=nullptr) { int dim = img->GetDimension(); unsigned int* dimensions = img->GetDimensions(); if (dim==4 && dimensions[3]%3==0) { m_InputImageNodes.push_back(node); m_InputImages.push_back(dynamic_cast(node->GetData())); retrack = true; } else if (dim==3) { m_AdditionalInputImages.push_back(dynamic_cast(node->GetData())); } } } } } // sometimes the OnSelectionChanged event is sent twice and actually no selection has changed for the first event. We need to catch that. if (last_nodes.size() == m_InputImageNodes.size()) { bool same_nodes = true; for (unsigned int i=0; im_TensorImageLabel->setText("mandatory"); m_Controls->m_fBox->setEnabled(false); m_Controls->m_fLabel->setEnabled(false); m_Controls->m_gBox->setEnabled(false); m_Controls->m_gLabel->setEnabled(false); m_Controls->m_FaImageBox->setEnabled(false); m_Controls->mFaImageLabel->setEnabled(false); m_Controls->m_OdfCutoffBox->setEnabled(false); m_Controls->m_OdfCutoffLabel->setEnabled(false); m_Controls->m_SharpenOdfsBox->setEnabled(false); m_Controls->m_ForestBox->setEnabled(false); m_Controls->m_ForestLabel->setEnabled(false); m_Controls->commandLinkButton->setEnabled(false); if (m_Controls->m_TissueImageBox->GetSelectedNode().IsNotNull()) m_Controls->m_SeedGmBox->setEnabled(true); else m_Controls->m_SeedGmBox->setEnabled(false); if(!m_InputImageNodes.empty()) { if (m_InputImageNodes.size()>1) m_Controls->m_TensorImageLabel->setText( ( std::to_string(m_InputImageNodes.size()) + " images selected").c_str() ); else m_Controls->m_TensorImageLabel->setText(m_InputImageNodes.at(0)->GetName().c_str()); m_Controls->m_InputData->setTitle("Input Data"); m_Controls->commandLinkButton->setEnabled(!m_Controls->m_InteractiveBox->isChecked() && !m_ThreadIsRunning); m_Controls->m_ScalarThresholdBox->setEnabled(true); m_Controls->m_FaThresholdLabel->setEnabled(true); if ( dynamic_cast(m_InputImageNodes.at(0)->GetData()) ) { m_Controls->m_fBox->setEnabled(true); m_Controls->m_fLabel->setEnabled(true); m_Controls->m_gBox->setEnabled(true); m_Controls->m_gLabel->setEnabled(true); m_Controls->mFaImageLabel->setEnabled(true); m_Controls->m_FaImageBox->setEnabled(true); } else if ( dynamic_cast(m_InputImageNodes.at(0)->GetData()) ) { m_Controls->mFaImageLabel->setEnabled(true); m_Controls->m_FaImageBox->setEnabled(true); m_Controls->m_OdfCutoffBox->setEnabled(true); m_Controls->m_OdfCutoffLabel->setEnabled(true); m_Controls->m_SharpenOdfsBox->setEnabled(true); } else if ( mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( dynamic_cast(m_InputImageNodes.at(0)->GetData())) ) { m_Controls->m_ForestBox->setEnabled(true); m_Controls->m_ForestLabel->setEnabled(true); m_Controls->m_ScalarThresholdBox->setEnabled(false); m_Controls->m_FaThresholdLabel->setEnabled(false); } } else m_Controls->m_InputData->setTitle("Please Select Input Data"); } void QmitkStreamlineTrackingView::StartStopTrackingGui(bool start) { m_ThreadIsRunning = start; if (!m_Controls->m_InteractiveBox->isChecked()) { m_Controls->commandLinkButton_2->setVisible(start); m_Controls->commandLinkButton->setVisible(!start); m_Controls->m_InteractiveBox->setEnabled(!start); m_Controls->m_StatusTextBox->setVisible(start); } } void QmitkStreamlineTrackingView::DoFiberTracking() { if (m_ThreadIsRunning) return; if (m_InputImages.empty()) return; if (m_Controls->m_InteractiveBox->isChecked() && m_SeedPoints.empty()) return; StartStopTrackingGui(true); m_Tracker = TrackerType::New(); if( dynamic_cast(m_InputImageNodes.at(0)->GetData()) ) { typedef mitk::ImageToItk CasterType; if (m_Controls->m_ModeBox->currentIndex()==1) { if (m_InputImages.size()>1) { QMessageBox::information(nullptr, "Information", "Probabilistic tensor tractography is only implemented for single-tensor mode!"); StartStopTrackingGui(false); return; } if (m_FirstTensorProbRun) { QMessageBox::information(nullptr, "Information", "Internally calculating ODF from tensor image and performing probabilistic ODF tractography. ODFs are sharpened (min-max normalized and raised to the power of 4). TEND parameters are ignored."); m_FirstTensorProbRun = false; } if (m_TrackingHandler==nullptr) { typedef mitk::ImageToItk< mitk::TrackingHandlerOdf::ItkOdfImageType > CasterType; m_TrackingHandler = new mitk::TrackingHandlerOdf(); mitk::TensorImage::ItkTensorImageType::Pointer itkImg = mitk::TensorImage::ItkTensorImageType::New(); mitk::CastToItkImage(m_InputImages.at(0), itkImg); typedef itk::TensorImageToOdfImageFilter< float, float > FilterType; FilterType::Pointer filter = FilterType::New(); filter->SetInput( itkImg ); filter->Update(); dynamic_cast(m_TrackingHandler)->SetOdfImage(filter->GetOutput()); if (m_Controls->m_FaImageBox->GetSelectedNode().IsNotNull()) { ItkFloatImageType::Pointer itkImg = ItkFloatImageType::New(); mitk::CastToItkImage(dynamic_cast(m_Controls->m_FaImageBox->GetSelectedNode()->GetData()), itkImg); dynamic_cast(m_TrackingHandler)->SetGfaImage(itkImg); } } dynamic_cast(m_TrackingHandler)->SetGfaThreshold(m_Controls->m_ScalarThresholdBox->value()); dynamic_cast(m_TrackingHandler)->SetOdfThreshold(0); dynamic_cast(m_TrackingHandler)->SetSharpenOdfs(true); dynamic_cast(m_TrackingHandler)->SetIsOdfFromTensor(true); } else { if (m_TrackingHandler==nullptr) { m_TrackingHandler = new mitk::TrackingHandlerTensor(); for (int i=0; i<(int)m_InputImages.size(); i++) { typedef mitk::ImageToItk< mitk::TrackingHandlerTensor::ItkTensorImageType > CasterType; CasterType::Pointer caster = CasterType::New(); caster->SetInput(m_InputImages.at(i)); caster->Update(); mitk::TrackingHandlerTensor::ItkTensorImageType::ConstPointer itkImg = caster->GetOutput(); dynamic_cast(m_TrackingHandler)->AddTensorImage(itkImg); } if (m_Controls->m_FaImageBox->GetSelectedNode().IsNotNull()) { ItkFloatImageType::Pointer itkImg = ItkFloatImageType::New(); mitk::CastToItkImage(dynamic_cast(m_Controls->m_FaImageBox->GetSelectedNode()->GetData()), itkImg); dynamic_cast(m_TrackingHandler)->SetFaImage(itkImg); } } dynamic_cast(m_TrackingHandler)->SetFaThreshold(m_Controls->m_ScalarThresholdBox->value()); dynamic_cast(m_TrackingHandler)->SetF((float)m_Controls->m_fBox->value()); dynamic_cast(m_TrackingHandler)->SetG((float)m_Controls->m_gBox->value()); } } else if ( dynamic_cast(m_InputImageNodes.at(0)->GetData()) ) { if (m_TrackingHandler==nullptr) { typedef mitk::ImageToItk< mitk::TrackingHandlerOdf::ItkOdfImageType > CasterType; m_TrackingHandler = new mitk::TrackingHandlerOdf(); mitk::TrackingHandlerOdf::ItkOdfImageType::Pointer itkImg = mitk::TrackingHandlerOdf::ItkOdfImageType::New(); mitk::CastToItkImage(m_InputImages.at(0), itkImg); dynamic_cast(m_TrackingHandler)->SetOdfImage(itkImg); if (m_Controls->m_FaImageBox->GetSelectedNode().IsNotNull()) { ItkFloatImageType::Pointer itkImg = ItkFloatImageType::New(); mitk::CastToItkImage(dynamic_cast(m_Controls->m_FaImageBox->GetSelectedNode()->GetData()), itkImg); dynamic_cast(m_TrackingHandler)->SetGfaImage(itkImg); } } dynamic_cast(m_TrackingHandler)->SetGfaThreshold(m_Controls->m_ScalarThresholdBox->value()); dynamic_cast(m_TrackingHandler)->SetOdfThreshold(m_Controls->m_OdfCutoffBox->value()); dynamic_cast(m_TrackingHandler)->SetSharpenOdfs(m_Controls->m_SharpenOdfsBox->isChecked()); } else if ( mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( dynamic_cast(m_InputImageNodes.at(0)->GetData())) ) { if ( m_Controls->m_ForestBox->GetSelectedNode().IsNull() ) { - QMessageBox::information(nullptr, "Information", "Not random forest for machine learning based tractography selected."); + QMessageBox::information(nullptr, "Information", "Not random forest for machine learning based tractography (raw dMRI tractography) selected. Did you accidentally select the raw diffusion-weighted image in the datamanager?"); StartStopTrackingGui(false); return; } if (m_TrackingHandler==nullptr) { mitk::TractographyForest::Pointer forest = dynamic_cast(m_Controls->m_ForestBox->GetSelectedNode()->GetData()); mitk::Image::Pointer dwi = dynamic_cast(m_InputImageNodes.at(0)->GetData()); std::vector< std::vector< ItkFloatImageType::Pointer > > additionalFeatureImages; additionalFeatureImages.push_back(std::vector< ItkFloatImageType::Pointer >()); for (auto img : m_AdditionalInputImages) { ItkFloatImageType::Pointer itkimg = ItkFloatImageType::New(); mitk::CastToItkImage(img, itkimg); additionalFeatureImages.at(0).push_back(itkimg); } bool forest_valid = false; if (forest->GetNumFeatures()>=100) { int num_previous_directions = (forest->GetNumFeatures() - (100 + additionalFeatureImages.at(0).size()))/3; m_TrackingHandler = new mitk::TrackingHandlerRandomForest<6, 100>(); dynamic_cast*>(m_TrackingHandler)->AddDwi(dwi); dynamic_cast*>(m_TrackingHandler)->SetAdditionalFeatureImages(additionalFeatureImages); dynamic_cast*>(m_TrackingHandler)->SetForest(forest); dynamic_cast*>(m_TrackingHandler)->SetNumPreviousDirections(num_previous_directions); forest_valid = dynamic_cast*>(m_TrackingHandler)->IsForestValid(); } else { int num_previous_directions = (forest->GetNumFeatures() - (28 + additionalFeatureImages.at(0).size()))/3; m_TrackingHandler = new mitk::TrackingHandlerRandomForest<6, 28>(); dynamic_cast*>(m_TrackingHandler)->AddDwi(dwi); dynamic_cast*>(m_TrackingHandler)->SetAdditionalFeatureImages(additionalFeatureImages); dynamic_cast*>(m_TrackingHandler)->SetForest(forest); dynamic_cast*>(m_TrackingHandler)->SetNumPreviousDirections(num_previous_directions); forest_valid = dynamic_cast*>(m_TrackingHandler)->IsForestValid(); } if (!forest_valid) { QMessageBox::information(nullptr, "Information", "Random forest is invalid. The forest signatue does not match the parameters of TrackingHandlerRandomForest."); StartStopTrackingGui(false); return; } } } else { if (m_Controls->m_ModeBox->currentIndex()==1) { QMessageBox::information(nullptr, "Information", "Probabilstic tractography is not implemented for peak images."); StartStopTrackingGui(false); return; } try { if (m_TrackingHandler==nullptr) { typedef mitk::ImageToItk< mitk::TrackingHandlerPeaks::PeakImgType > CasterType; CasterType::Pointer caster = CasterType::New(); caster->SetInput(m_InputImages.at(0)); caster->Update(); mitk::TrackingHandlerPeaks::PeakImgType::Pointer itkImg = caster->GetOutput(); m_TrackingHandler = new mitk::TrackingHandlerPeaks(); dynamic_cast(m_TrackingHandler)->SetPeakImage(itkImg); } dynamic_cast(m_TrackingHandler)->SetPeakThreshold(m_Controls->m_ScalarThresholdBox->value()); } catch(...) { QMessageBox::information(nullptr, "Error", "Peak tracker could not be initialized. Is your input image in the correct format (4D float image, peaks in the 4th dimension)?"); StartStopTrackingGui(false); return; } } m_TrackingHandler->SetFlipX(m_Controls->m_FlipXBox->isChecked()); m_TrackingHandler->SetFlipY(m_Controls->m_FlipYBox->isChecked()); m_TrackingHandler->SetFlipZ(m_Controls->m_FlipZBox->isChecked()); m_TrackingHandler->SetInterpolate(m_Controls->m_InterpolationBox->isChecked()); switch (m_Controls->m_ModeBox->currentIndex()) { case 0: m_TrackingHandler->SetMode(mitk::TrackingDataHandler::MODE::DETERMINISTIC); break; case 1: m_TrackingHandler->SetMode(mitk::TrackingDataHandler::MODE::PROBABILISTIC); break; default: m_TrackingHandler->SetMode(mitk::TrackingDataHandler::MODE::DETERMINISTIC); } if (m_Controls->m_InteractiveBox->isChecked()) { m_Tracker->SetSeedPoints(m_SeedPoints); } else if (m_Controls->m_SeedImageBox->GetSelectedNode().IsNotNull()) { ItkUCharImageType::Pointer mask = ItkUCharImageType::New(); mitk::CastToItkImage(dynamic_cast(m_Controls->m_SeedImageBox->GetSelectedNode()->GetData()), mask); m_Tracker->SetSeedImage(mask); } m_Tracker->SetInterpolateMask(false); if (m_Controls->m_MaskImageBox->GetSelectedNode().IsNotNull()) { ItkUCharImageType::Pointer mask = ItkUCharImageType::New(); mitk::CastToItkImage(dynamic_cast(m_Controls->m_MaskImageBox->GetSelectedNode()->GetData()), mask); m_Tracker->SetMaskImage(mask); m_Tracker->SetInterpolateMask(m_Controls->m_MaskInterpolationBox->isChecked()); } if (m_Controls->m_StopImageBox->GetSelectedNode().IsNotNull()) { ItkUCharImageType::Pointer mask = ItkUCharImageType::New(); mitk::CastToItkImage(dynamic_cast(m_Controls->m_StopImageBox->GetSelectedNode()->GetData()), mask); m_Tracker->SetStoppingRegions(mask); } if (m_Controls->m_TargetImageBox->GetSelectedNode().IsNotNull()) { ItkUintImgType::Pointer mask = ItkUintImgType::New(); mitk::CastToItkImage(dynamic_cast(m_Controls->m_TargetImageBox->GetSelectedNode()->GetData()), mask); m_Tracker->SetTargetRegions(mask); } if (m_Controls->m_TissueImageBox->GetSelectedNode().IsNotNull()) { ItkUCharImageType::Pointer mask = ItkUCharImageType::New(); mitk::CastToItkImage(dynamic_cast(m_Controls->m_TissueImageBox->GetSelectedNode()->GetData()), mask); m_Tracker->SetTissueImage(mask); m_Tracker->SetSeedOnlyGm(m_Controls->m_SeedGmBox->isChecked()); } m_Tracker->SetVerbose(!m_Controls->m_InteractiveBox->isChecked()); m_Tracker->SetSeedsPerVoxel(m_Controls->m_SeedsPerVoxelBox->value()); m_Tracker->SetStepSize(m_Controls->m_StepSizeBox->value()); m_Tracker->SetSamplingDistance(m_Controls->m_SamplingDistanceBox->value()); m_Tracker->SetUseStopVotes(m_Controls->m_StopVotesBox->isChecked()); m_Tracker->SetOnlyForwardSamples(m_Controls->m_FrontalSamplesBox->isChecked()); m_Tracker->SetAposterioriCurvCheck(false); m_Tracker->SetMaxNumTracts(m_Controls->m_NumFibersBox->value()); m_Tracker->SetNumberOfSamples(m_Controls->m_NumSamplesBox->value()); m_Tracker->SetTrackingHandler(m_TrackingHandler); m_Tracker->SetAngularThreshold(m_Controls->m_AngularThresholdBox->value()); m_Tracker->SetMinTractLength(m_Controls->m_MinTractLengthBox->value()); m_Tracker->SetUseOutputProbabilityMap(m_Controls->m_OutputProbMap->isChecked()); m_ParentNode = m_InputImageNodes.at(0); m_TrackingThread.start(QThread::LowestPriority); } diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging.tractography/src/internal/QmitkStreamlineTrackingViewControls.ui b/Plugins/org.mitk.gui.qt.diffusionimaging.tractography/src/internal/QmitkStreamlineTrackingViewControls.ui index 92621907c5..83ee13c09d 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging.tractography/src/internal/QmitkStreamlineTrackingViewControls.ui +++ b/Plugins/org.mitk.gui.qt.diffusionimaging.tractography/src/internal/QmitkStreamlineTrackingViewControls.ui @@ -1,1097 +1,1169 @@ QmitkStreamlineTrackingViewControls 0 0 413 - 1356 + 1385 0 0 QmitkTemplate 0 0 3 3 Please Select Input Data + + 0 + + + 0 + + + 0 + + + 0 + Tissue label image needed for gray matter seeding (WM=3, GM=1). Use e.g. MRtrix 5ttgen to generate such a label image. QComboBox::AdjustToMinimumContentsLength - Tissue Image: Tractography Forest: Seed Image: Input Image. ODF, tensor and peak images are currently supported. Input Image: Tractography is only performed inside the mask image. Fibers that leave the mask image are stopped. QComboBox::AdjustToMinimumContentsLength - Fibers that enter a region defined in this image will stop immediately. QComboBox::AdjustToMinimumContentsLength - FA/GFA Image: Random forest for machine learning based tractography. QComboBox::AdjustToMinimumContentsLength - If an image is selected, the stopping criterion is not calculated from the input image but instead the selected image is used. QComboBox::AdjustToMinimumContentsLength - Stop Image: Mask Image: Seed points are only placed inside the mask image. If no seed mask is selected, the whole image is seeded. QComboBox::AdjustToMinimumContentsLength - Input Image. ODF, tensor, peak, and, in case of ML tractography, raw diffusion-weighted images are currently supported. <html><head/><body><p><span style=" color:#ff0000;">mandatory</span></p></body></html> true Target Image: Fibers that do not start and end in a region defined in this image will be discarded. QComboBox::AdjustToMinimumContentsLength - false Start Tractography 0 0 Interactive Tractography + + 0 + + + 0 + + + 0 + + + 0 + Number of seed points normally distributed around selected position. 1 9999999 50 Num. Seeds: true Dynamically pick seed location by click into image. Enable Interactive Tractography Seedpoints are normally distributed within a sphere centered at the selected position with the specified radius (in mm). 2 50.000000000000000 0.100000000000000 2.500000000000000 Radius: true When checked, parameter changes cause instant retracking while in interactive mode. Update on Parameter Change true 0 0 Parameters + + 0 + + + 0 + + + 0 + + + 0 + Mode: Toggle between deterministic and probabilistic tractography. Some modes might not be available for all types of tractography. Deterministic Probabilistic Seeds per Voxel: Number of seed points placed in each voxel. 1 9999999 Max. num. fibers: Tractography is stopped after the desired number of fibers is reached, even before all seed points are processed. -1 999999999 -1 Cutoff: Threshold on peak magnitude, FA, GFA, ... 5 1.000000000000000 0.100000000000000 0.100000000000000 ODF Cutoff: Additional threshold on the ODF magnitude. This is useful in case of CSD fODF tractography. 5 1.000000000000000 0.100000000000000 0.100000000000000 If you are using dODF images as input, it is advisable to sharpen the ODFs (min-max normalize and raise to the power of 4). This is not necessary for CSD fODFs, since they are naturally much sharper. Sharpen ODFs Qt::Horizontal QSizePolicy::Fixed 200 0 Advanced Parameters + + 0 + + + 0 + + + 0 + + + 0 + QFrame::NoFrame QFrame::Raised 0 0 0 0 Min. Tract Length: Step size (in voxels) 2 0.010000000000000 10.000000000000000 0.100000000000000 0.500000000000000 Angular Threshold: Flip directions: f=1 + g=0 means FACT (depending on the chosen interpolation). f=0 and g=1 means TEND (disable interpolation for this mode!). 2 1.000000000000000 0.100000000000000 1.000000000000000 f parameter of tensor tractography. f=1 + g=0 means FACT (depending on the chosen interpolation). f=0 and g=1 means TEND (disable interpolation for this mode!). f: g: Shorter fibers are discarded. Minimum fiber length (in mm) 1 999.000000000000000 1.000000000000000 20.000000000000000 QFrame::NoFrame QFrame::Raised 0 0 0 0 Internally flips progression directions. This might be necessary depending on the input data. x Internally flips progression directions. This might be necessary depending on the input data. y Internally flips progression directions. This might be necessary depending on the input data. z Step Size: Default: 90° * step_size -1 90 1 -1 f=1 + g=0 means FACT (depending on the chosen interpolation). f=0 and g=1 means TEND (disable interpolation for this mode!). 2 1.000000000000000 0.100000000000000 0.000000000000000 QFrame::NoFrame QFrame::Raised 0 0 0 0 Requires tissue image. Enable Gray Matter Seeding false If false, nearest neighbor interpolation is used. Interpolate Tractography Data true The tractography mask is not interpolated by default. Interpolate Mask Image false 0 0 Neighborhood Sampling + + 0 + + + 0 + + + 0 + + + 0 + QFrame::NoFrame QFrame::Raised 0 0 0 0 Num. Samples: Number of neighborhood samples that are used to determine the next fiber progression direction. 50 Sampling Distance: Sampling distance (in voxels) 2 10.000000000000000 0.100000000000000 0.250000000000000 Only neighborhood samples in front of the current streamline position are considered. Use Only Frontal Samples false If checked, the majority of sampling points has to place a stop-vote for the streamline to terminate. If not checked, all sampling positions have to vote for a streamline termination. Use Stop-Votes false Qt::Vertical QSizePolicy::Expanding 20 220 0 0 Output and Postprocessing + + 0 + + + 0 + + + 0 + + + 0 + QFrame::NoFrame QFrame::Raised 0 0 0 0 Resample fibers using the specified error constraint. Compress Fibers true Qt::StrongFocus Lossy fiber compression. Recommended for large tractograms. Maximum error in mm. 3 10.000000000000000 0.010000000000000 0.100000000000000 Output probability map instead of tractogram. Output Probability Map false true Stop Tractography true 0 0 true QmitkDataStorageComboBox QComboBox
QmitkDataStorageComboBox.h
 QmitkDataStorageComboBoxWithSelectNone QComboBox
QmitkDataStorageComboBoxWithSelectNone.h