diff --git a/Plugins/org.mitk.gui.qt.pharmacokinetics.mri/src/internal/MRPerfusionView.cpp b/Plugins/org.mitk.gui.qt.pharmacokinetics.mri/src/internal/MRPerfusionView.cpp index 0f8a1a3022..bfd871fb1b 100644 --- a/Plugins/org.mitk.gui.qt.pharmacokinetics.mri/src/internal/MRPerfusionView.cpp +++ b/Plugins/org.mitk.gui.qt.pharmacokinetics.mri/src/internal/MRPerfusionView.cpp @@ -1,1366 +1,1368 @@ /*============================================================================ The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center (DKFZ) All rights reserved. Use of this source code is governed by a 3-clause BSD license that can be found in the LICENSE file. ============================================================================*/ #include "MRPerfusionView.h" #include "boost/tokenizer.hpp" #include "boost/math/constants/constants.hpp" #include #include "mitkWorkbenchUtil.h" #include "mitkAterialInputFunctionGenerator.h" #include "mitkConcentrationCurveGenerator.h" #include #include #include #include #include #include #include #include "mitkTwoCompartmentExchangeModelFactory.h" #include "mitkTwoCompartmentExchangeModelParameterizer.h" #include #include #include #include #include #include #include #include "mitkNodePredicateFunction.h" #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include // Includes for image casting between ITK and MITK #include #include "mitkImageCast.h" #include "mitkITKImageImport.h" #include #include const std::string MRPerfusionView::VIEW_ID = "org.mitk.views.pharmacokinetics.mri"; inline double convertToDouble(const std::string& data) { std::istringstream stepStream(data); stepStream.imbue(std::locale("C")); double value = 0.0; if (!(stepStream >> value) || !(stepStream.eof())) { mitkThrow() << "Cannot convert string to double. String: " << data; } return value; } void MRPerfusionView::SetFocus() { m_Controls.btnModelling->setFocus(); } void MRPerfusionView::CreateQtPartControl(QWidget* parent) { m_Controls.setupUi(parent); m_Controls.btnModelling->setEnabled(false); this->InitModelComboBox(); m_Controls.labelMaskInfo->hide(); m_Controls.timeSeriesNodeSelector->SetNodePredicate(this->m_isValidTimeSeriesImagePredicate); m_Controls.timeSeriesNodeSelector->SetDataStorage(this->GetDataStorage()); m_Controls.timeSeriesNodeSelector->SetSelectionIsOptional(false); m_Controls.timeSeriesNodeSelector->SetInvalidInfo("Please select time series."); - m_Controls.timeSeriesNodeSelector->SetAutoSelectNewNodes(true); m_Controls.maskNodeSelector->SetNodePredicate(this->m_IsMaskPredicate); m_Controls.maskNodeSelector->SetDataStorage(this->GetDataStorage()); m_Controls.maskNodeSelector->SetSelectionIsOptional(true); m_Controls.maskNodeSelector->SetEmptyInfo("Please select (optional) mask."); connect(m_Controls.btnModelling, SIGNAL(clicked()), this, SLOT(OnModellingButtonClicked())); connect(m_Controls.comboModel, SIGNAL(currentIndexChanged(int)), this, SLOT(OnModellSet(int))); connect(m_Controls.radioPixelBased, SIGNAL(toggled(bool)), this, SLOT(UpdateGUIControls())); connect(m_Controls.checkMaskInfo, SIGNAL(toggled(bool)), m_Controls.labelMaskInfo, SLOT(setVisible(bool))); connect(m_Controls.timeSeriesNodeSelector, &QmitkAbstractNodeSelectionWidget::CurrentSelectionChanged, this, &MRPerfusionView::OnImageNodeSelectionChanged); connect(m_Controls.maskNodeSelector, &QmitkAbstractNodeSelectionWidget::CurrentSelectionChanged, this, &MRPerfusionView::OnMaskNodeSelectionChanged); connect(m_Controls.AIFMaskNodeSelector, &QmitkAbstractNodeSelectionWidget::CurrentSelectionChanged, this, &MRPerfusionView::UpdateGUIControls); connect(m_Controls.AIFImageNodeSelector, &QmitkAbstractNodeSelectionWidget::CurrentSelectionChanged, this, &MRPerfusionView::UpdateGUIControls); //AIF setting m_Controls.groupAIF->hide(); m_Controls.btnAIFFile->setEnabled(false); m_Controls.btnAIFFile->setVisible(false); m_Controls.aifFilePath->setEnabled(false); m_Controls.aifFilePath->setVisible(false); m_Controls.radioAIFImage->setChecked(true); m_Controls.AIFMaskNodeSelector->SetDataStorage(this->GetDataStorage()); m_Controls.AIFMaskNodeSelector->SetNodePredicate(m_IsMaskPredicate); m_Controls.AIFMaskNodeSelector->setVisible(true); m_Controls.AIFMaskNodeSelector->setEnabled(true); - m_Controls.AIFMaskNodeSelector->SetAutoSelectNewNodes(true); m_Controls.AIFImageNodeSelector->SetDataStorage(this->GetDataStorage()); m_Controls.AIFImageNodeSelector->SetNodePredicate(this->m_isValidTimeSeriesImagePredicate); m_Controls.AIFImageNodeSelector->setEnabled(false); m_Controls.AIFImageNodeSelector->setVisible(false); m_Controls.checkDedicatedAIFImage->setEnabled(true); m_Controls.HCLSpinBox->setValue(mitk::AterialInputFunctionGenerator::DEFAULT_HEMATOCRIT_LEVEL); connect(m_Controls.radioAIFImage, SIGNAL(toggled(bool)), m_Controls.AIFMaskNodeSelector, SLOT(setVisible(bool))); connect(m_Controls.radioAIFImage, SIGNAL(toggled(bool)), m_Controls.AIFMaskNodeSelector, SLOT(setEnabled(bool))); connect(m_Controls.radioAIFImage, SIGNAL(toggled(bool)), m_Controls.labelAIFMask, SLOT(setVisible(bool))); connect(m_Controls.radioAIFImage, SIGNAL(toggled(bool)), m_Controls.checkDedicatedAIFImage, SLOT(setVisible(bool))); connect(m_Controls.radioAIFImage, SIGNAL(toggled(bool)), m_Controls.checkDedicatedAIFImage, SLOT(setEnabled(bool))); connect(m_Controls.checkDedicatedAIFImage, SIGNAL(toggled(bool)), m_Controls.AIFImageNodeSelector, SLOT(setEnabled(bool))); connect(m_Controls.checkDedicatedAIFImage, SIGNAL(toggled(bool)), m_Controls.AIFImageNodeSelector, SLOT(setVisible(bool))); connect(m_Controls.radioAIFFile, SIGNAL(toggled(bool)), m_Controls.btnAIFFile, SLOT(setEnabled(bool))); connect(m_Controls.radioAIFFile, SIGNAL(toggled(bool)), m_Controls.btnAIFFile, SLOT(setVisible(bool))); connect(m_Controls.radioAIFFile, SIGNAL(toggled(bool)), m_Controls.aifFilePath, SLOT(setEnabled(bool))); connect(m_Controls.radioAIFFile, SIGNAL(toggled(bool)), m_Controls.aifFilePath, SLOT(setVisible(bool))); connect(m_Controls.radioAIFFile, SIGNAL(toggled(bool)), this, SLOT(UpdateGUIControls())); connect(m_Controls.btnAIFFile, SIGNAL(clicked()), this, SLOT(LoadAIFfromFile())); //Brix setting m_Controls.groupDescBrix->hide(); connect(m_Controls.injectiontime, SIGNAL(valueChanged(double)), this, SLOT(UpdateGUIControls())); //Model fit configuration m_Controls.groupBox_FitConfiguration->hide(); m_Controls.checkBox_Constraints->setEnabled(false); m_Controls.constraintManager->setEnabled(false); m_Controls.initialValuesManager->setEnabled(false); m_Controls.initialValuesManager->setDataStorage(this->GetDataStorage()); connect(m_Controls.radioButton_StartParameters, SIGNAL(toggled(bool)), this, SLOT(UpdateGUIControls())); connect(m_Controls.checkBox_Constraints, SIGNAL(toggled(bool)), this, SLOT(UpdateGUIControls())); connect(m_Controls.initialValuesManager, SIGNAL(initialValuesChanged(void)), this, SLOT(UpdateGUIControls())); connect(m_Controls.radioButton_StartParameters, SIGNAL(toggled(bool)), m_Controls.initialValuesManager, SLOT(setEnabled(bool))); connect(m_Controls.checkBox_Constraints, SIGNAL(toggled(bool)), m_Controls.constraintManager, SLOT(setEnabled(bool))); connect(m_Controls.checkBox_Constraints, SIGNAL(toggled(bool)), m_Controls.constraintManager, SLOT(setVisible(bool))); //Concentration m_Controls.groupConcentration->hide(); m_Controls.groupBoxEnhancement->hide(); m_Controls.radioButtonNoConversion->setChecked(true); m_Controls.groupBox_T1MapviaVFA->hide(); m_Controls.spinBox_baselineStartTimeStep->setValue(0); m_Controls.spinBox_baselineEndTimeStep->setValue(0); m_Controls.spinBox_baselineEndTimeStep->setMinimum(0); m_Controls.spinBox_baselineStartTimeStep->setMinimum(0); m_Controls.groupBox_baselineRangeSelection->hide(); connect(m_Controls.radioButton_absoluteEnhancement, SIGNAL(toggled(bool)), this, SLOT(UpdateGUIControls())); connect(m_Controls.radioButton_relativeEnchancement, SIGNAL(toggled(bool)), this, SLOT(UpdateGUIControls())); connect(m_Controls.radioButton_absoluteEnhancement, SIGNAL(toggled(bool)), m_Controls.groupBoxEnhancement, SLOT(setVisible(bool))); connect(m_Controls.radioButton_absoluteEnhancement, SIGNAL(toggled(bool)), m_Controls.groupBox_baselineRangeSelection, SLOT(setVisible(bool))); connect(m_Controls.radioButton_relativeEnchancement, SIGNAL(toggled(bool)), m_Controls.groupBoxEnhancement, SLOT(setVisible(bool))); connect(m_Controls.radioButton_relativeEnchancement, SIGNAL(toggled(bool)), m_Controls.groupBox_baselineRangeSelection, SLOT(setVisible(bool))); connect(m_Controls.factorSpinBox, SIGNAL(valueChanged(double)), this, SLOT(UpdateGUIControls())); connect(m_Controls.spinBox_baselineStartTimeStep, SIGNAL(valueChanged(int)), this, SLOT(UpdateGUIControls())); connect(m_Controls.spinBox_baselineEndTimeStep, SIGNAL(valueChanged(int)), this, SLOT(UpdateGUIControls())); connect(m_Controls.radioButtonUsingT1viaVFA, SIGNAL(toggled(bool)), m_Controls.groupBox_T1MapviaVFA, SLOT(setVisible(bool))); connect(m_Controls.radioButtonUsingT1viaVFA, SIGNAL(toggled(bool)), m_Controls.groupBox_baselineRangeSelection, SLOT(setVisible(bool))); connect(m_Controls.radioButtonUsingT1viaVFA, SIGNAL(toggled(bool)), this, SLOT(UpdateGUIControls())); connect(m_Controls.FlipangleSpinBox, SIGNAL(valueChanged(double)), this, SLOT(UpdateGUIControls())); connect(m_Controls.RelaxivitySpinBox, SIGNAL(valueChanged(double)), this, SLOT(UpdateGUIControls())); connect(m_Controls.TRSpinBox, SIGNAL(valueChanged(double)), this, SLOT(UpdateGUIControls())); m_Controls.PDWImageNodeSelector->SetNodePredicate(m_isValidPDWImagePredicate); m_Controls.PDWImageNodeSelector->SetDataStorage(this->GetDataStorage()); m_Controls.PDWImageNodeSelector->SetInvalidInfo("Please select PDW Image."); m_Controls.PDWImageNodeSelector->setEnabled(false); connect(m_Controls.radioButtonUsingT1viaVFA, SIGNAL(toggled(bool)), m_Controls.PDWImageNodeSelector, SLOT(setEnabled(bool))); + // Should be done last, if everything else is configured because it triggers the autoselection of data. + m_Controls.timeSeriesNodeSelector->SetAutoSelectNewNodes(true); + m_Controls.AIFMaskNodeSelector->SetAutoSelectNewNodes(true); + UpdateGUIControls(); } void MRPerfusionView::UpdateGUIControls() { m_Controls.lineFitName->setPlaceholderText(QString::fromStdString(this->GetDefaultFitName())); m_Controls.lineFitName->setEnabled(!m_FittingInProgress); m_Controls.checkBox_Constraints->setEnabled(m_modelConstraints.IsNotNull()); bool isDescBrixFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; bool isToftsFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr || dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; bool is2CXMFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; m_Controls.groupAIF->setVisible(isToftsFactory || is2CXMFactory); m_Controls.groupDescBrix->setVisible(isDescBrixFactory); if (isDescBrixFactory) { m_Controls.toolboxConfiguration->setItemEnabled(2, false); } else { m_Controls.toolboxConfiguration->setItemEnabled(2, true); } m_Controls.groupConcentration->setVisible(isToftsFactory || is2CXMFactory ); m_Controls.AIFImageNodeSelector->setVisible(!m_Controls.radioAIFFile->isChecked()); m_Controls.AIFImageNodeSelector->setVisible(m_Controls.radioAIFImage->isChecked() && m_Controls.checkDedicatedAIFImage->isChecked()); m_Controls.groupBox_FitConfiguration->setVisible(m_selectedModelFactory); m_Controls.groupBox->setEnabled(!m_FittingInProgress); m_Controls.comboModel->setEnabled(!m_FittingInProgress); m_Controls.groupAIF->setEnabled(!m_FittingInProgress); m_Controls.groupDescBrix->setEnabled(!m_FittingInProgress); m_Controls.groupConcentration->setEnabled(!m_FittingInProgress); m_Controls.groupBox_FitConfiguration->setEnabled(!m_FittingInProgress); m_Controls.radioROIbased->setEnabled(m_selectedMask.IsNotNull()); m_Controls.btnModelling->setEnabled(m_selectedImage.IsNotNull() && m_selectedModelFactory.IsNotNull() && !m_FittingInProgress && CheckModelSettings()); m_Controls.spinBox_baselineStartTimeStep->setEnabled( m_Controls.radioButton_absoluteEnhancement->isChecked() || m_Controls.radioButton_relativeEnchancement->isChecked() || m_Controls.radioButtonUsingT1viaVFA->isChecked()); m_Controls.spinBox_baselineEndTimeStep->setEnabled(m_Controls.radioButton_absoluteEnhancement->isChecked() || m_Controls.radioButton_relativeEnchancement->isChecked() || m_Controls.radioButtonUsingT1viaVFA->isChecked()); } void MRPerfusionView::OnModellSet(int index) { m_selectedModelFactory = nullptr; if (index > 0) { if (static_cast(index) <= m_FactoryStack.size() ) { m_selectedModelFactory = m_FactoryStack[index - 1]; } else { MITK_WARN << "Invalid model index. Index outside of the factory stack. Factory stack size: "<< m_FactoryStack.size() << "; invalid index: "<< index; } } if (m_selectedModelFactory) { this->m_modelConstraints = dynamic_cast (m_selectedModelFactory->CreateDefaultConstraints().GetPointer()); m_Controls.initialValuesManager->setInitialValues(m_selectedModelFactory->GetParameterNames(), m_selectedModelFactory->GetDefaultInitialParameterization()); if (this->m_modelConstraints.IsNull()) { this->m_modelConstraints = mitk::SimpleBarrierConstraintChecker::New(); } m_Controls.constraintManager->setChecker(this->m_modelConstraints, this->m_selectedModelFactory->GetParameterNames()); } UpdateGUIControls(); } std::string MRPerfusionView::GetFitName() const { std::string fitName = m_Controls.lineFitName->text().toStdString(); if (fitName.empty()) { fitName = m_Controls.lineFitName->placeholderText().toStdString(); } return fitName; } std::string MRPerfusionView::GetDefaultFitName() const { std::string defaultName = "undefined model"; if (this->m_selectedModelFactory.IsNotNull()) { defaultName = this->m_selectedModelFactory->GetClassID(); } if (this->m_Controls.radioPixelBased->isChecked()) { defaultName += "_pixel"; } else { defaultName += "_roi"; } return defaultName; } void MRPerfusionView::OnModellingButtonClicked() { //check if all static parameters set if (m_selectedModelFactory.IsNotNull() && CheckModelSettings()) { m_HasGeneratedNewInput = false; m_HasGeneratedNewInputAIF = false; mitk::ParameterFitImageGeneratorBase::Pointer generator = nullptr; mitk::modelFit::ModelFitInfo::Pointer fitSession = nullptr; bool isDescBrixFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; bool isExtToftsFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; bool isStanToftsFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; bool is2CXMFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; if (isDescBrixFactory) { if (this->m_Controls.radioPixelBased->isChecked()) { GenerateDescriptiveBrixModel_PixelBased(fitSession, generator); } else { GenerateDescriptiveBrixModel_ROIBased(fitSession, generator); } } else if (isStanToftsFactory) { if (this->m_Controls.radioPixelBased->isChecked()) { GenerateAIFbasedModelFit_PixelBased(fitSession, generator); } else { GenerateAIFbasedModelFit_ROIBased(fitSession, generator); } } else if (isExtToftsFactory) { if (this->m_Controls.radioPixelBased->isChecked()) { GenerateAIFbasedModelFit_PixelBased(fitSession, generator); } else { GenerateAIFbasedModelFit_ROIBased(fitSession, generator); } } else if (is2CXMFactory) { if (this->m_Controls.radioPixelBased->isChecked()) { GenerateAIFbasedModelFit_PixelBased(fitSession, generator); } else { GenerateAIFbasedModelFit_ROIBased(fitSession, generator); } } //add other models with else if if (generator.IsNotNull() && fitSession.IsNotNull()) { m_FittingInProgress = true; UpdateGUIControls(); DoFit(fitSession, generator); } else { QMessageBox box; box.setText("Fitting error!"); box.setInformativeText("Could not establish fitting job. Error when setting ab generator, model parameterizer or session info."); box.setStandardButtons(QMessageBox::Ok); box.setDefaultButton(QMessageBox::Ok); box.setIcon(QMessageBox::Warning); box.exec(); } } else { QMessageBox box; box.setText("Static parameters for model are not set!"); box.setInformativeText("Some static parameters, that are needed for calculation are not set and equal to zero. Modeling not possible"); box.setStandardButtons(QMessageBox::Ok); box.setDefaultButton(QMessageBox::Ok); box.setIcon(QMessageBox::Warning); box.exec(); } } void MRPerfusionView::OnImageNodeSelectionChanged(QList/*nodes*/) { if (m_Controls.timeSeriesNodeSelector->GetSelectedNode().IsNotNull()) { this->m_selectedNode = m_Controls.timeSeriesNodeSelector->GetSelectedNode(); m_selectedImage = dynamic_cast(m_selectedNode->GetData()); if (m_selectedImage) { this->m_Controls.initialValuesManager->setReferenceImageGeometry(m_selectedImage->GetGeometry()); m_Controls.maskNodeSelector->SetNodePredicate(mitk::GetMultiLabelSegmentationPredicate(m_selectedImage->GetGeometry())); } else { this->m_Controls.initialValuesManager->setReferenceImageGeometry(nullptr); m_Controls.maskNodeSelector->SetNodePredicate(mitk::GetMultiLabelSegmentationPredicate(nullptr)); } } else { this->m_selectedNode = nullptr; this->m_selectedImage = nullptr; this->m_Controls.initialValuesManager->setReferenceImageGeometry(nullptr); } if (this->m_selectedImage.IsNotNull()) { m_Controls.spinBox_baselineStartTimeStep->setMaximum((this->m_selectedImage->GetDimension(3)) - 1); m_Controls.spinBox_baselineEndTimeStep->setMaximum((this->m_selectedImage->GetDimension(3)) - 1); } UpdateGUIControls(); } void MRPerfusionView::OnMaskNodeSelectionChanged(QList/*nodes*/) { m_selectedMaskNode = nullptr; m_selectedMask = nullptr; if (m_Controls.maskNodeSelector->GetSelectedNode().IsNotNull()) { this->m_selectedMaskNode = m_Controls.maskNodeSelector->GetSelectedNode(); auto selectedLabelSetMask = dynamic_cast(m_selectedMaskNode->GetData()); if (selectedLabelSetMask != nullptr) { if (selectedLabelSetMask->GetAllLabelValues().size() > 1) { MITK_INFO << "Selected mask has multiple labels. Only use first used to mask the model fit."; } this->m_selectedMask = mitk::CreateLabelMask(selectedLabelSetMask, selectedLabelSetMask->GetAllLabelValues().front(), true); } if (this->m_selectedMask.IsNotNull() && this->m_selectedMask->GetTimeSteps() > 1) { MITK_INFO << "Selected mask has multiple timesteps. Only use first timestep to mask model fit. Mask name: " << m_Controls.maskNodeSelector->GetSelectedNode()->GetName(); this->m_selectedMask = SelectImageByTimeStep(m_selectedMask, 0); } } if (m_selectedMask.IsNull()) { this->m_Controls.radioPixelBased->setChecked(true); } UpdateGUIControls(); } bool MRPerfusionView::CheckModelSettings() const { bool ok = true; //check whether any model is set at all. Otherwise exit with false if (m_selectedModelFactory.IsNotNull()) { bool isDescBrixFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; bool isToftsFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr|| dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; bool is2CXMFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; if (isDescBrixFactory) { //if all static parameters for this model are set, exit with true, Otherwise exit with false ok = m_Controls.injectiontime->value() > 0; } else if (isToftsFactory || is2CXMFactory) { if (this->m_Controls.radioAIFImage->isChecked()) { ok = ok && m_Controls.AIFMaskNodeSelector->GetSelectedNode().IsNotNull(); if (this->m_Controls.checkDedicatedAIFImage->isChecked()) { ok = ok && m_Controls.AIFImageNodeSelector->GetSelectedNode().IsNotNull(); } } else if (this->m_Controls.radioAIFFile->isChecked()) { ok = ok && (this->AIFinputGrid.size() != 0) && (this->AIFinputFunction.size() != 0); } else { ok = false; } if (this->m_Controls.radioButton_absoluteEnhancement->isChecked() || this->m_Controls.radioButton_relativeEnchancement->isChecked() ) { ok = ok && (m_Controls.factorSpinBox->value() > 0); ok = ok && CheckBaselineSelectionSettings(); } else if (this->m_Controls.radioButtonUsingT1viaVFA->isChecked() ) { ok = ok && (m_Controls.FlipangleSpinBox->value() > 0); ok = ok && (m_Controls.TRSpinBox->value() > 0); ok = ok && (m_Controls.RelaxivitySpinBox->value() > 0); ok = ok && (m_Controls.PDWImageNodeSelector->GetSelectedNode().IsNotNull()); ok = ok && CheckBaselineSelectionSettings(); } else if (this->m_Controls.radioButtonNoConversion->isChecked()) { ok = ok && true; } else { ok = false; } } //add other models as else if and check whether all needed static parameters are set else { ok = false; } if (this->m_Controls.radioButton_StartParameters->isChecked() && !this->m_Controls.initialValuesManager->hasValidInitialValues()) { std::string warning = "Warning. Invalid start parameters. At least one parameter as an invalid image setting as source."; MITK_ERROR << warning; m_Controls.infoBox->append(QString("") + QString::fromStdString(warning) + QString("")); ok = false; }; } else { ok = false; } return ok; } bool MRPerfusionView::CheckBaselineSelectionSettings() const { return m_Controls.spinBox_baselineStartTimeStep->value() <= m_Controls.spinBox_baselineEndTimeStep->value(); } void MRPerfusionView::ConfigureInitialParametersOfParameterizer(mitk::ModelParameterizerBase* parameterizer) const { if (m_Controls.radioButton_StartParameters->isChecked()) { //use user defined initial parameters mitk::InitialParameterizationDelegateBase::Pointer paramDelegate = m_Controls.initialValuesManager->getInitialParametrizationDelegate(); parameterizer->SetInitialParameterizationDelegate(paramDelegate); } } void MRPerfusionView::GenerateDescriptiveBrixModel_PixelBased(mitk::modelFit::ModelFitInfo::Pointer& modelFitInfo, mitk::ParameterFitImageGeneratorBase::Pointer& generator) { mitk::PixelBasedParameterFitImageGenerator::Pointer fitGenerator = mitk::PixelBasedParameterFitImageGenerator::New(); mitk::DescriptivePharmacokineticBrixModelParameterizer::Pointer modelParameterizer = mitk::DescriptivePharmacokineticBrixModelParameterizer::New(); //Model configuration (static parameters) can be done now modelParameterizer->SetTau(m_Controls.injectiontime->value()); mitk::ImageTimeSelector::Pointer imageTimeSelector = mitk::ImageTimeSelector::New(); imageTimeSelector->SetInput(this->m_selectedImage); imageTimeSelector->SetTimeNr(0); imageTimeSelector->UpdateLargestPossibleRegion(); mitk::DescriptivePharmacokineticBrixModelParameterizer::BaseImageType::Pointer baseImage; mitk::CastToItkImage(imageTimeSelector->GetOutput(), baseImage); modelParameterizer->SetBaseImage(baseImage); this->ConfigureInitialParametersOfParameterizer(modelParameterizer); //Specify fitting strategy and criterion parameters mitk::ModelFitFunctorBase::Pointer fitFunctor = CreateDefaultFitFunctor(modelParameterizer); //Parametrize fit generator fitGenerator->SetModelParameterizer(modelParameterizer); std::string roiUID = ""; if (m_selectedMask.IsNotNull()) { fitGenerator->SetMask(m_selectedMask); roiUID = m_selectedMask->GetUID(); } fitGenerator->SetDynamicImage(m_selectedImage); fitGenerator->SetFitFunctor(fitFunctor); generator = fitGenerator.GetPointer(); //Create model info modelFitInfo = mitk::modelFit::CreateFitInfoFromModelParameterizer(modelParameterizer, m_selectedNode->GetData(), mitk::ModelFitConstants::FIT_TYPE_VALUE_PIXELBASED(), this->GetFitName(), roiUID); } void MRPerfusionView::GenerateDescriptiveBrixModel_ROIBased(mitk::modelFit::ModelFitInfo::Pointer& modelFitInfo, mitk::ParameterFitImageGeneratorBase::Pointer& generator) { if (m_selectedMask.IsNull()) { return; } mitk::ROIBasedParameterFitImageGenerator::Pointer fitGenerator = mitk::ROIBasedParameterFitImageGenerator::New(); mitk::DescriptivePharmacokineticBrixModelValueBasedParameterizer::Pointer modelParameterizer = mitk::DescriptivePharmacokineticBrixModelValueBasedParameterizer::New(); //Compute ROI signal mitk::MaskedDynamicImageStatisticsGenerator::Pointer signalGenerator = mitk::MaskedDynamicImageStatisticsGenerator::New(); signalGenerator->SetMask(m_selectedMask); signalGenerator->SetDynamicImage(m_selectedImage); signalGenerator->Generate(); mitk::MaskedDynamicImageStatisticsGenerator::ResultType roiSignal = signalGenerator->GetMean(); //Model configuration (static parameters) can be done now modelParameterizer->SetTau(m_Controls.injectiontime->value()); modelParameterizer->SetBaseValue(roiSignal[0]); this->ConfigureInitialParametersOfParameterizer(modelParameterizer); //Specify fitting strategy and criterion parameters mitk::ModelFitFunctorBase::Pointer fitFunctor = CreateDefaultFitFunctor(modelParameterizer); //Parametrize fit generator fitGenerator->SetModelParameterizer(modelParameterizer); fitGenerator->SetMask(m_selectedMask); fitGenerator->SetFitFunctor(fitFunctor); fitGenerator->SetSignal(roiSignal); fitGenerator->SetTimeGrid(mitk::ExtractTimeGrid(m_selectedImage)); generator = fitGenerator.GetPointer(); std::string roiUID = this->m_selectedMask->GetUID(); //Create model info modelFitInfo = mitk::modelFit::CreateFitInfoFromModelParameterizer(modelParameterizer, m_selectedNode->GetData(), mitk::ModelFitConstants::FIT_TYPE_VALUE_ROIBASED(), this->GetFitName(), roiUID); mitk::ScalarListLookupTable::ValueType infoSignal; for (mitk::MaskedDynamicImageStatisticsGenerator::ResultType::const_iterator pos = roiSignal.begin(); pos != roiSignal.end(); ++pos) { infoSignal.push_back(*pos); } modelFitInfo->inputData.SetTableValue("ROI", infoSignal); } template void MRPerfusionView::GenerateLinearModelFit_PixelBased(mitk::modelFit::ModelFitInfo::Pointer& modelFitInfo, mitk::ParameterFitImageGeneratorBase::Pointer& generator) { mitk::PixelBasedParameterFitImageGenerator::Pointer fitGenerator = mitk::PixelBasedParameterFitImageGenerator::New(); typename TParameterizer::Pointer modelParameterizer = TParameterizer::New(); this->ConfigureInitialParametersOfParameterizer(modelParameterizer); //Specify fitting strategy and criterion parameters mitk::ModelFitFunctorBase::Pointer fitFunctor = CreateDefaultFitFunctor(modelParameterizer); //Parametrize fit generator fitGenerator->SetModelParameterizer(modelParameterizer); std::string roiUID = ""; if (m_selectedMask.IsNotNull()) { fitGenerator->SetMask(m_selectedMask); roiUID = this->m_selectedMask->GetUID(); } fitGenerator->SetDynamicImage(m_selectedImage); fitGenerator->SetFitFunctor(fitFunctor); generator = fitGenerator.GetPointer(); //Create model info modelFitInfo = mitk::modelFit::CreateFitInfoFromModelParameterizer(modelParameterizer, m_selectedNode->GetData(), mitk::ModelFitConstants::FIT_TYPE_VALUE_PIXELBASED(), this->GetFitName(), roiUID); } template void MRPerfusionView::GenerateLinearModelFit_ROIBased(mitk::modelFit::ModelFitInfo::Pointer& modelFitInfo, mitk::ParameterFitImageGeneratorBase::Pointer& generator) { if (m_selectedMask.IsNull()) { return; } mitk::ROIBasedParameterFitImageGenerator::Pointer fitGenerator = mitk::ROIBasedParameterFitImageGenerator::New(); typename TParameterizer::Pointer modelParameterizer = TParameterizer::New(); //Compute ROI signal mitk::MaskedDynamicImageStatisticsGenerator::Pointer signalGenerator = mitk::MaskedDynamicImageStatisticsGenerator::New(); signalGenerator->SetMask(m_selectedMask); signalGenerator->SetDynamicImage(m_selectedImage); signalGenerator->Generate(); mitk::MaskedDynamicImageStatisticsGenerator::ResultType roiSignal = signalGenerator->GetMean(); //Model configuration (static parameters) can be done now this->ConfigureInitialParametersOfParameterizer(modelParameterizer); //Specify fitting strategy and criterion parameters mitk::ModelFitFunctorBase::Pointer fitFunctor = CreateDefaultFitFunctor(modelParameterizer); //Parametrize fit generator fitGenerator->SetModelParameterizer(modelParameterizer); fitGenerator->SetMask(m_selectedMask); fitGenerator->SetFitFunctor(fitFunctor); fitGenerator->SetSignal(roiSignal); fitGenerator->SetTimeGrid(mitk::ExtractTimeGrid(m_selectedImage)); generator = fitGenerator.GetPointer(); std::string roiUID = this->m_selectedMask->GetUID(); //Create model info modelFitInfo = mitk::modelFit::CreateFitInfoFromModelParameterizer(modelParameterizer, m_selectedNode->GetData(), mitk::ModelFitConstants::FIT_TYPE_VALUE_ROIBASED(), this->GetFitName(), roiUID); mitk::ScalarListLookupTable::ValueType infoSignal; for (mitk::MaskedDynamicImageStatisticsGenerator::ResultType::const_iterator pos = roiSignal.begin(); pos != roiSignal.end(); ++pos) { infoSignal.push_back(*pos); } modelFitInfo->inputData.SetTableValue("ROI", infoSignal); } template void MRPerfusionView::GenerateAIFbasedModelFit_PixelBased(mitk::modelFit::ModelFitInfo::Pointer& modelFitInfo, mitk::ParameterFitImageGeneratorBase::Pointer& generator) { mitk::PixelBasedParameterFitImageGenerator::Pointer fitGenerator = mitk::PixelBasedParameterFitImageGenerator::New(); typename TParameterizer::Pointer modelParameterizer = TParameterizer::New(); PrepareConcentrationImage(); mitk::AIFBasedModelBase::AterialInputFunctionType aif; mitk::AIFBasedModelBase::AterialInputFunctionType aifTimeGrid; GetAIF(aif, aifTimeGrid); modelParameterizer->SetAIF(aif); modelParameterizer->SetAIFTimeGrid(aifTimeGrid); this->ConfigureInitialParametersOfParameterizer(modelParameterizer); //Specify fitting strategy and criterion parameters mitk::ModelFitFunctorBase::Pointer fitFunctor = CreateDefaultFitFunctor(modelParameterizer); //Parametrize fit generator fitGenerator->SetModelParameterizer(modelParameterizer); std::string roiUID = ""; if (m_selectedMask.IsNotNull()) { fitGenerator->SetMask(m_selectedMask); roiUID = this->m_selectedMask->GetUID(); } fitGenerator->SetDynamicImage(this->m_inputImage); fitGenerator->SetFitFunctor(fitFunctor); generator = fitGenerator.GetPointer(); //Create model info modelFitInfo = mitk::modelFit::CreateFitInfoFromModelParameterizer(modelParameterizer, this->m_inputImage, mitk::ModelFitConstants::FIT_TYPE_VALUE_PIXELBASED(), this->GetFitName(), roiUID); mitk::ScalarListLookupTable::ValueType infoSignal; for (mitk::AIFBasedModelBase::AterialInputFunctionType::const_iterator pos = aif.begin(); pos != aif.end(); ++pos) { infoSignal.push_back(*pos); } modelFitInfo->inputData.SetTableValue("AIF", infoSignal); } template void MRPerfusionView::GenerateAIFbasedModelFit_ROIBased( mitk::modelFit::ModelFitInfo::Pointer& modelFitInfo, mitk::ParameterFitImageGeneratorBase::Pointer& generator) { if (m_selectedMask.IsNull()) { return; } mitk::ROIBasedParameterFitImageGenerator::Pointer fitGenerator = mitk::ROIBasedParameterFitImageGenerator::New(); typename TParameterizer::Pointer modelParameterizer = TParameterizer::New(); PrepareConcentrationImage(); mitk::AIFBasedModelBase::AterialInputFunctionType aif; mitk::AIFBasedModelBase::AterialInputFunctionType aifTimeGrid; GetAIF(aif, aifTimeGrid); modelParameterizer->SetAIF(aif); modelParameterizer->SetAIFTimeGrid(aifTimeGrid); this->ConfigureInitialParametersOfParameterizer(modelParameterizer); //Compute ROI signal mitk::MaskedDynamicImageStatisticsGenerator::Pointer signalGenerator = mitk::MaskedDynamicImageStatisticsGenerator::New(); signalGenerator->SetMask(m_selectedMask); signalGenerator->SetDynamicImage(this->m_inputImage); signalGenerator->Generate(); mitk::MaskedDynamicImageStatisticsGenerator::ResultType roiSignal = signalGenerator->GetMean(); //Specify fitting strategy and criterion parameters mitk::ModelFitFunctorBase::Pointer fitFunctor = CreateDefaultFitFunctor(modelParameterizer); //Parametrize fit generator fitGenerator->SetModelParameterizer(modelParameterizer); fitGenerator->SetMask(m_selectedMask); fitGenerator->SetFitFunctor(fitFunctor); fitGenerator->SetSignal(roiSignal); fitGenerator->SetTimeGrid(mitk::ExtractTimeGrid(this->m_inputImage)); generator = fitGenerator.GetPointer(); std::string roiUID = this->m_selectedMask->GetUID(); //Create model info modelFitInfo = mitk::modelFit::CreateFitInfoFromModelParameterizer(modelParameterizer, this->m_inputImage, mitk::ModelFitConstants::FIT_TYPE_VALUE_ROIBASED(), this->GetFitName(), roiUID); mitk::ScalarListLookupTable::ValueType infoSignal; for (mitk::MaskedDynamicImageStatisticsGenerator::ResultType::const_iterator pos = roiSignal.begin(); pos != roiSignal.end(); ++pos) { infoSignal.push_back(*pos); } modelFitInfo->inputData.SetTableValue("ROI", infoSignal); infoSignal.clear(); for (mitk::AIFBasedModelBase::AterialInputFunctionType::const_iterator pos = aif.begin(); pos != aif.end(); ++pos) { infoSignal.push_back(*pos); } modelFitInfo->inputData.SetTableValue("AIF", infoSignal); } void MRPerfusionView::DoFit(const mitk::modelFit::ModelFitInfo* fitSession, mitk::ParameterFitImageGeneratorBase* generator) { this->m_Controls.infoBox->append(QString("" + QString("Fitting Data Set . . .") + QString (""))); ///////////////////////// //create job and put it into the thread pool mitk::modelFit::ModelFitResultNodeVectorType additionalNodes; if (m_HasGeneratedNewInput) { additionalNodes.push_back(m_inputNode); } if (m_HasGeneratedNewInputAIF) { additionalNodes.push_back(m_inputAIFNode); } ParameterFitBackgroundJob* pJob = new ParameterFitBackgroundJob(generator, fitSession, this->m_selectedNode, additionalNodes); pJob->setAutoDelete(true); connect(pJob, SIGNAL(Error(QString)), this, SLOT(OnJobError(QString))); connect(pJob, SIGNAL(Finished()), this, SLOT(OnJobFinished())); connect(pJob, SIGNAL(ResultsAreAvailable(mitk::modelFit::ModelFitResultNodeVectorType, const ParameterFitBackgroundJob*)), this, SLOT(OnJobResultsAreAvailable(mitk::modelFit::ModelFitResultNodeVectorType, const ParameterFitBackgroundJob*)), Qt::BlockingQueuedConnection); connect(pJob, SIGNAL(JobProgress(double)), this, SLOT(OnJobProgress(double))); connect(pJob, SIGNAL(JobStatusChanged(QString)), this, SLOT(OnJobStatusChanged(QString))); QThreadPool* threadPool = QThreadPool::globalInstance(); threadPool->start(pJob); } MRPerfusionView::MRPerfusionView() : m_FittingInProgress(false), m_HasGeneratedNewInput(false), m_HasGeneratedNewInputAIF(false) { m_selectedImage = nullptr; m_selectedMask = nullptr; mitk::ModelFactoryBase::Pointer factory = mitk::DescriptivePharmacokineticBrixModelFactory::New().GetPointer(); m_FactoryStack.push_back(factory); factory = mitk::StandardToftsModelFactory::New().GetPointer(); m_FactoryStack.push_back(factory); factory = mitk::ExtendedToftsModelFactory::New().GetPointer(); m_FactoryStack.push_back(factory); factory = mitk::TwoCompartmentExchangeModelFactory::New().GetPointer(); m_FactoryStack.push_back(factory); mitk::NodePredicateDataType::Pointer isLabelSet = mitk::NodePredicateDataType::New("LabelSetImage"); mitk::NodePredicateDataType::Pointer isImage = mitk::NodePredicateDataType::New("Image"); mitk::NodePredicateProperty::Pointer isBinary = mitk::NodePredicateProperty::New("binary", mitk::BoolProperty::New(true)); mitk::NodePredicateAnd::Pointer isLegacyMask = mitk::NodePredicateAnd::New(isImage, isBinary); mitk::NodePredicateDimension::Pointer is3D = mitk::NodePredicateDimension::New(3); mitk::NodePredicateOr::Pointer isMask = mitk::NodePredicateOr::New(isLegacyMask, isLabelSet); mitk::NodePredicateAnd::Pointer isNoMask = mitk::NodePredicateAnd::New(isImage, mitk::NodePredicateNot::New(isMask)); mitk::NodePredicateAnd::Pointer is3DImage = mitk::NodePredicateAnd::New(isImage, is3D, isNoMask); this->m_IsMaskPredicate = mitk::NodePredicateAnd::New(isMask, mitk::NodePredicateNot::New(mitk::NodePredicateProperty::New("helper object"))).GetPointer(); this->m_IsNoMaskImagePredicate = mitk::NodePredicateAnd::New(isNoMask, mitk::NodePredicateNot::New(mitk::NodePredicateProperty::New("helper object"))).GetPointer(); auto isDynamicData = mitk::NodePredicateFunction::New([](const mitk::DataNode* node) { return (node && node->GetData() && node->GetData()->GetTimeSteps() > 1); }); auto modelFitResultRelationRule = mitk::ModelFitResultRelationRule::New(); auto isNoModelFitNodePredicate = mitk::NodePredicateNot::New(modelFitResultRelationRule->GetConnectedSourcesDetector()); this->m_isValidPDWImagePredicate = mitk::NodePredicateAnd::New(is3DImage, isNoModelFitNodePredicate); this->m_isValidTimeSeriesImagePredicate = mitk::NodePredicateAnd::New(isDynamicData, isImage, isNoMask); } void MRPerfusionView::OnJobFinished() { this->m_Controls.infoBox->append(QString("Fitting finished.")); this->m_FittingInProgress = false; this->UpdateGUIControls(); }; void MRPerfusionView::OnJobError(QString err) { MITK_ERROR << err.toStdString().c_str(); m_Controls.infoBox->append(QString("") + err + QString("")); }; void MRPerfusionView::OnJobResultsAreAvailable(mitk::modelFit::ModelFitResultNodeVectorType results, const ParameterFitBackgroundJob* pJob) { //Store the resulting parameter fit image via convenience helper function in data storage //(handles the correct generation of the nodes and their properties) mitk::modelFit::StoreResultsInDataStorage(this->GetDataStorage(), results, pJob->GetParentNode()); //this stores the concentration image and AIF concentration image, if generated for this fit in the storage. //if not generated for this fit, relevant nodes are empty. mitk::modelFit::StoreResultsInDataStorage(this->GetDataStorage(), pJob->GetAdditionalRelevantNodes(), pJob->GetParentNode()); }; void MRPerfusionView::OnJobProgress(double progress) { QString report = QString("Progress. ") + QString::number(progress); this->m_Controls.infoBox->append(report); }; void MRPerfusionView::OnJobStatusChanged(QString info) { this->m_Controls.infoBox->append(info); } void MRPerfusionView::InitModelComboBox() const { this->m_Controls.comboModel->clear(); this->m_Controls.comboModel->addItem(tr("No model selected")); for (ModelFactoryStackType::const_iterator pos = m_FactoryStack.begin(); pos != m_FactoryStack.end(); ++pos) { this->m_Controls.comboModel->addItem(QString::fromStdString((*pos)->GetClassID())); } this->m_Controls.comboModel->setCurrentIndex(0); }; mitk::DataNode::Pointer MRPerfusionView::GenerateConcentrationNode(mitk::Image* image, const std::string& nodeName) const { if (!image) { mitkThrow() << "Cannot generate concentration node. Passed image is null. parameter name: "; } mitk::DataNode::Pointer result = mitk::DataNode::New(); result->SetData(image); result->SetName(nodeName); result->SetVisibility(true); return result; }; mitk::Image::Pointer MRPerfusionView::ConvertConcentrationImage(bool AIFMode) { //Compute Concentration image mitk::ConcentrationCurveGenerator::Pointer concentrationGen = mitk::ConcentrationCurveGenerator::New(); if (m_Controls.checkDedicatedAIFImage->isChecked() && AIFMode) { concentrationGen->SetDynamicImage(this->m_selectedAIFImage); } else { concentrationGen->SetDynamicImage(this->m_selectedImage); } concentrationGen->SetAbsoluteSignalEnhancement(m_Controls.radioButton_absoluteEnhancement->isChecked()); concentrationGen->SetRelativeSignalEnhancement(m_Controls.radioButton_relativeEnchancement->isChecked()); concentrationGen->SetUsingT1Map(m_Controls.radioButtonUsingT1viaVFA->isChecked()); if (this->m_Controls.radioButtonUsingT1viaVFA->isChecked()) { concentrationGen->SetRepetitionTime(m_Controls.TRSpinBox->value()); concentrationGen->SetRelaxivity(m_Controls.RelaxivitySpinBox->value()); concentrationGen->SetPDWImage(dynamic_cast(m_Controls.PDWImageNodeSelector->GetSelectedNode()->GetData())); concentrationGen->SetBaselineStartTimeStep(m_Controls.spinBox_baselineStartTimeStep->value()); concentrationGen->SetBaselineEndTimeStep(m_Controls.spinBox_baselineEndTimeStep->value()); //Convert Flipangle from degree to radiant double alpha = m_Controls.FlipangleSpinBox->value()/360*2* boost::math::constants::pi(); concentrationGen->SetFlipAngle(alpha); double alphaPDW = m_Controls.FlipanglePDWSpinBox->value() / 360 * 2 * boost::math::constants::pi(); concentrationGen->SetFlipAnglePDW(alphaPDW); } else { concentrationGen->SetFactor(m_Controls.factorSpinBox->value()); concentrationGen->SetBaselineStartTimeStep(m_Controls.spinBox_baselineStartTimeStep->value()); concentrationGen->SetBaselineEndTimeStep(m_Controls.spinBox_baselineEndTimeStep->value()); } mitk::Image::Pointer concentrationImage = concentrationGen->GetConvertedImage(); return concentrationImage; } void MRPerfusionView::GetAIF(mitk::AIFBasedModelBase::AterialInputFunctionType& aif, mitk::AIFBasedModelBase::AterialInputFunctionType& aifTimeGrid) { if (this->m_Controls.radioAIFFile->isChecked()) { aif.clear(); aifTimeGrid.clear(); aif.SetSize(AIFinputFunction.size()); aifTimeGrid.SetSize(AIFinputGrid.size()); aif.fill(0.0); aifTimeGrid.fill(0.0); itk::Array::iterator aifPos = aif.begin(); for (std::vector::const_iterator pos = AIFinputFunction.begin(); pos != AIFinputFunction.end(); ++pos, ++aifPos) { *aifPos = *pos; } itk::Array::iterator gridPos = aifTimeGrid.begin(); for (std::vector::const_iterator pos = AIFinputGrid.begin(); pos != AIFinputGrid.end(); ++pos, ++gridPos) { *gridPos = *pos; } } else if (this->m_Controls.radioAIFImage->isChecked()) { aif.clear(); aifTimeGrid.clear(); mitk::AterialInputFunctionGenerator::Pointer aifGenerator = mitk::AterialInputFunctionGenerator::New(); //Hematocrit level aifGenerator->SetHCL(this->m_Controls.HCLSpinBox->value()); //mask settings this->m_selectedAIFMaskNode = m_Controls.AIFMaskNodeSelector->GetSelectedNode(); this->m_selectedAIFMask = dynamic_cast(this->m_selectedAIFMaskNode->GetData()); if (this->m_selectedAIFMask->GetTimeSteps() > 1) { MITK_INFO << "Selected AIF mask has multiple timesteps. Only use first timestep to mask model fit. AIF Mask name: " << m_selectedAIFMaskNode->GetName() ; mitk::ImageTimeSelector::Pointer maskedImageTimeSelector = mitk::ImageTimeSelector::New(); maskedImageTimeSelector->SetInput(this->m_selectedAIFMask); maskedImageTimeSelector->SetTimeNr(0); maskedImageTimeSelector->UpdateLargestPossibleRegion(); this->m_selectedAIFMask = maskedImageTimeSelector->GetOutput(); } if (this->m_selectedAIFMask.IsNotNull()) { aifGenerator->SetMask(this->m_selectedAIFMask); } //image settings if (this->m_Controls.checkDedicatedAIFImage->isChecked()) { this->m_selectedAIFImageNode = m_Controls.AIFImageNodeSelector->GetSelectedNode(); this->m_selectedAIFImage = dynamic_cast(this->m_selectedAIFImageNode->GetData()); } else { this->m_selectedAIFImageNode = m_selectedNode; this->m_selectedAIFImage = m_selectedImage; } this->PrepareAIFConcentrationImage(); aifGenerator->SetDynamicImage(this->m_inputAIFImage); aif = aifGenerator->GetAterialInputFunction(); aifTimeGrid = aifGenerator->GetAterialInputFunctionTimeGrid(); } else { mitkThrow() << "Cannot generate AIF. View is in a invalid state. No AIF mode selected."; } } void MRPerfusionView::LoadAIFfromFile() { QFileDialog dialog; dialog.setNameFilter(tr("Images (*.csv")); QString fileName = dialog.getOpenFileName(); m_Controls.aifFilePath->setText(fileName); std::string m_aifFilePath = fileName.toStdString(); //Read Input typedef boost::tokenizer< boost::escaped_list_separator > Tokenizer; ///////////////////////////////////////////////////////////////////////////////////////////////// //AIF Data std::ifstream in1(m_aifFilePath.c_str()); if (!in1.is_open()) { this->m_Controls.infoBox->append(QString("Could not open AIF File!")); } std::vector< std::string > vec1; std::string line1; while (getline(in1, line1)) { Tokenizer tok(line1); vec1.assign(tok.begin(), tok.end()); this->AIFinputGrid.push_back(convertToDouble(vec1[0])); this->AIFinputFunction.push_back(convertToDouble(vec1[1])); } } void MRPerfusionView::PrepareConcentrationImage() { mitk::Image::Pointer concentrationImage = this->m_selectedImage; mitk::DataNode::Pointer concentrationNode = this->m_selectedNode; m_HasGeneratedNewInput = false; if (!this->m_Controls.radioButtonNoConversion->isChecked()) { concentrationImage = this->ConvertConcentrationImage(false); concentrationNode = GenerateConcentrationNode(concentrationImage, "Concentration"); m_HasGeneratedNewInput = true; } m_inputImage = concentrationImage; m_inputNode = concentrationNode; } void MRPerfusionView::PrepareAIFConcentrationImage() { mitk::Image::Pointer concentrationImage = this->m_selectedImage; mitk::DataNode::Pointer concentrationNode = this->m_selectedNode; m_HasGeneratedNewInputAIF = false; if (this->m_Controls.checkDedicatedAIFImage->isChecked()) { concentrationImage = this->m_selectedAIFImage; concentrationNode = this->m_selectedAIFImageNode; } if (!this->m_Controls.radioButtonNoConversion->isChecked()) { if (!this->m_Controls.checkDedicatedAIFImage->isChecked()) { if (m_inputImage.IsNull()) { mitkThrow() << "Cannot get AIF concentration image. Invalid view state. Input image is not defined yet, but should be."; } //we can directly use the concentration input image/node (generated by GetConcentrationImage) also for the AIF concentrationImage = this->m_inputImage; concentrationNode = this->m_inputNode; } else { concentrationImage = this->ConvertConcentrationImage(true); concentrationNode = GenerateConcentrationNode(concentrationImage, "AIF Concentration"); m_HasGeneratedNewInputAIF = true; } } m_inputAIFImage = concentrationImage; m_inputAIFNode = concentrationNode; } mitk::ModelFitFunctorBase::Pointer MRPerfusionView::CreateDefaultFitFunctor( const mitk::ModelParameterizerBase* parameterizer) const { mitk::LevenbergMarquardtModelFitFunctor::Pointer fitFunctor = mitk::LevenbergMarquardtModelFitFunctor::New(); mitk::NormalizedSumOfSquaredDifferencesFitCostFunction::Pointer chi2 = mitk::NormalizedSumOfSquaredDifferencesFitCostFunction::New(); fitFunctor->RegisterEvaluationParameter("Chi^2", chi2); if (m_Controls.checkBox_Constraints->isChecked()) { fitFunctor->SetConstraintChecker(m_modelConstraints); } mitk::ModelBase::Pointer refModel = parameterizer->GenerateParameterizedModel(); ::itk::LevenbergMarquardtOptimizer::ScalesType scales; scales.SetSize(refModel->GetNumberOfParameters()); scales.Fill(1.0); fitFunctor->SetScales(scales); fitFunctor->SetDebugParameterMaps(m_Controls.checkDebug->isChecked()); return fitFunctor.GetPointer(); }