diff --git a/Plugins/org.mitk.gui.qt.fit.genericfitting/src/internal/GenericDataFittingView.cpp b/Plugins/org.mitk.gui.qt.fit.genericfitting/src/internal/GenericDataFittingView.cpp index 51f148467d..edc9955f9a 100644 --- a/Plugins/org.mitk.gui.qt.fit.genericfitting/src/internal/GenericDataFittingView.cpp +++ b/Plugins/org.mitk.gui.qt.fit.genericfitting/src/internal/GenericDataFittingView.cpp @@ -1,718 +1,721 @@ /*============================================================================ 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 "GenericDataFittingView.h" #include "mitkWorkbenchUtil.h" #include #include #include #include #include #include #include #include #include #include "mitkTwoStepLinearModelFactory.h" #include "mitkTwoStepLinearModelParameterizer.h" #include "mitkThreeStepLinearModelFactory.h" #include "mitkThreeStepLinearModelParameterizer.h" #include #include #include #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 #include const std::string GenericDataFittingView::VIEW_ID = "org.mitk.views.fit.genericfitting"; void GenericDataFittingView::SetFocus() { m_Controls.btnModelling->setFocus(); } void GenericDataFittingView::CreateQtPartControl(QWidget* parent) { m_Controls.setupUi(parent); m_Controls.btnModelling->setEnabled(false); this->InitModelComboBox(); + m_Controls.labelMaskInfo->hide(); 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())); //Generic setting m_Controls.groupGeneric->hide(); m_Controls.labelFormulaInfo->hide(); connect(m_Controls.editFormula, SIGNAL(textChanged(const QString&)), this, SLOT(UpdateGUIControls())); connect(m_Controls.checkFormulaInfo, SIGNAL(toggled(bool)), m_Controls.labelFormulaInfo, SLOT(setVisible(bool))); connect(m_Controls.nrOfParams, SIGNAL(valueChanged(int)), this, SLOT(OnNrOfParamsChanged())); + connect(m_Controls.checkMaskInfo, SIGNAL(toggled(bool)), m_Controls.labelMaskInfo, + SLOT(setVisible(bool))); //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.initialValuesManager, SIGNAL(initialValuesChanged(void)), this, SLOT(UpdateGUIControls())); connect(m_Controls.checkBox_Constraints, SIGNAL(toggled(bool)), 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))); UpdateGUIControls(); } void GenericDataFittingView::UpdateGUIControls() { m_Controls.lineFitName->setPlaceholderText(QString::fromStdString(this->GetDefaultFitName())); m_Controls.lineFitName->setEnabled(!m_FittingInProgress); m_Controls.checkBox_Constraints->setEnabled(m_modelConstraints.IsNotNull()); bool isGenericFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; m_Controls.groupGeneric->setVisible(isGenericFactory); m_Controls.groupBox_FitConfiguration->setVisible(m_selectedModelFactory); m_Controls.groupBox->setEnabled(!m_FittingInProgress); m_Controls.comboModel->setEnabled(!m_FittingInProgress); m_Controls.groupGeneric->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()); } std::string GenericDataFittingView::GetFitName() const { std::string fitName = m_Controls.lineFitName->text().toStdString(); if (fitName.empty()) { fitName = m_Controls.lineFitName->placeholderText().toStdString(); } return fitName; } std::string GenericDataFittingView::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 GenericDataFittingView::OnNrOfParamsChanged() { PrepareFitConfiguration(); UpdateGUIControls(); } void GenericDataFittingView::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()); if (this->m_modelConstraints.IsNull()) { this->m_modelConstraints = mitk::SimpleBarrierConstraintChecker::New(); } m_Controls.initialValuesManager->setInitialValues(m_selectedModelFactory->GetParameterNames(), m_selectedModelFactory->GetDefaultInitialParameterization()); m_Controls.constraintManager->setChecker(this->m_modelConstraints, this->m_selectedModelFactory->GetParameterNames()); } UpdateGUIControls(); } bool GenericDataFittingView::IsGenericParamFactorySelected() const { return dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; } void GenericDataFittingView::PrepareFitConfiguration() { if (m_selectedModelFactory) { mitk::ModelBase::ParameterNamesType paramNames = m_selectedModelFactory->GetParameterNames(); unsigned int nrOfPools = this->m_Controls.nrOfParams->value(); //init values if (this->IsGenericParamFactorySelected()) { mitk::modelFit::ModelFitInfo::Pointer fitInfo = mitk::modelFit::ModelFitInfo::New(); fitInfo->staticParamMap.Add(mitk::GenericParamModel::NAME_STATIC_PARAMETER_number, { static_cast(nrOfPools) }); auto parameterizer = m_selectedModelFactory->CreateParameterizer(fitInfo); paramNames = parameterizer->GetParameterNames(); m_Controls.initialValuesManager->setInitialValues(paramNames, parameterizer->GetDefaultInitialParameterization()); } else { m_Controls.initialValuesManager->setInitialValues(paramNames, this->m_selectedModelFactory->GetDefaultInitialParameterization()); } //constraints this->m_modelConstraints = dynamic_cast (m_selectedModelFactory->CreateDefaultConstraints().GetPointer()); if (this->m_modelConstraints.IsNull()) { this->m_modelConstraints = mitk::SimpleBarrierConstraintChecker::New(); } m_Controls.constraintManager->setChecker(this->m_modelConstraints, paramNames); } }; void GenericDataFittingView::OnModellingButtonClicked() { //check if all static parameters set if (m_selectedModelFactory.IsNotNull() && CheckModelSettings()) { mitk::ParameterFitImageGeneratorBase::Pointer generator = nullptr; mitk::modelFit::ModelFitInfo::Pointer fitSession = nullptr; bool isLinearFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; bool isGenericFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; bool isExponentialDecayFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; bool isTwoStepLinearFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; bool isThreeStepLinearFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; bool isExponentialSaturationFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; if (isLinearFactory) { if (this->m_Controls.radioPixelBased->isChecked()) { GenerateModelFit_PixelBased(fitSession, generator); } else { GenerateModelFit_ROIBased(fitSession, generator); } } else if (isGenericFactory) { if (this->m_Controls.radioPixelBased->isChecked()) { GenerateModelFit_PixelBased(fitSession, generator); } else { GenerateModelFit_ROIBased(fitSession, generator); } } else if (isExponentialDecayFactory) { if (this->m_Controls.radioPixelBased->isChecked()) { GenerateModelFit_PixelBased(fitSession, generator); } else { GenerateModelFit_ROIBased(fitSession, generator); } } else if (isTwoStepLinearFactory) { if (this->m_Controls.radioPixelBased->isChecked()) { GenerateModelFit_PixelBased(fitSession, generator); } else { GenerateModelFit_ROIBased(fitSession, generator); } } else if (isThreeStepLinearFactory) { if (this->m_Controls.radioPixelBased->isChecked()) { GenerateModelFit_PixelBased(fitSession, generator); } else { GenerateModelFit_ROIBased(fitSession, generator); } } else if (isExponentialSaturationFactory) { if (this->m_Controls.radioPixelBased->isChecked()) { GenerateModelFit_PixelBased(fitSession, generator); } else { GenerateModelFit_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 GenericDataFittingView::OnSelectionChanged(berry::IWorkbenchPart::Pointer /*source*/, const QList& selectedNodes) { m_selectedNode = nullptr; m_selectedImage = nullptr; m_selectedMaskNode = nullptr; m_selectedMask = nullptr; m_Controls.masklabel->setText("No (valid) mask selected."); m_Controls.timeserieslabel->setText("No (valid) series selected."); QList nodes = selectedNodes; 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::NodePredicateOr::Pointer maskPredicate = mitk::NodePredicateOr::New(isLegacyMask, isLabelSet); if (nodes.size() > 0 && isImage->CheckNode(nodes.front())) { this->m_selectedNode = nodes.front(); this->m_selectedImage = dynamic_cast(this->m_selectedNode->GetData()); m_Controls.timeserieslabel->setText((this->m_selectedNode->GetName()).c_str()); nodes.pop_front(); } if (nodes.size() > 0 && maskPredicate->CheckNode(nodes.front())) { this->m_selectedMaskNode = nodes.front(); this->m_selectedMask = dynamic_cast(this->m_selectedMaskNode->GetData()); if (this->m_selectedMask->GetTimeSteps() > 1) { MITK_INFO << "Selected mask has multiple timesteps. Only use first timestep to mask model fit. Mask name: " << m_selectedMaskNode->GetName(); mitk::ImageTimeSelector::Pointer maskedImageTimeSelector = mitk::ImageTimeSelector::New(); maskedImageTimeSelector->SetInput(this->m_selectedMask); maskedImageTimeSelector->SetTimeNr(0); maskedImageTimeSelector->UpdateLargestPossibleRegion(); this->m_selectedMask = maskedImageTimeSelector->GetOutput(); } m_Controls.masklabel->setText((this->m_selectedMaskNode->GetName()).c_str()); } if (m_selectedMask.IsNull()) { this->m_Controls.radioPixelBased->setChecked(true); } UpdateGUIControls(); } bool GenericDataFittingView::CheckModelSettings() const { bool ok = true; //check whether any model is set at all. Otherwise exit with false if (m_selectedModelFactory.IsNotNull()) { bool isGenericFactory = dynamic_cast(m_selectedModelFactory.GetPointer()) != nullptr; if (isGenericFactory) { ok = !m_Controls.editFormula->text().isEmpty(); } } 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 has an invalid image setting as source."; MITK_ERROR << warning; m_Controls.infoBox->append(QString("") + QString::fromStdString(warning) + QString("")); ok = false; }; return ok; } void GenericDataFittingView::ConfigureInitialParametersOfParameterizer(mitk::ModelParameterizerBase* parameterizer) const { if (m_Controls.radioButton_StartParameters->isChecked()) { //use user defined initial parameters mitk::ValueBasedParameterizationDelegate::Pointer paramDelegate = mitk::ValueBasedParameterizationDelegate::New(); paramDelegate->SetInitialParameterization(m_Controls.initialValuesManager->getInitialValues()); parameterizer->SetInitialParameterizationDelegate(paramDelegate); } mitk::GenericParamModelParameterizer* genericParameterizer = dynamic_cast(parameterizer); if (genericParameterizer) { genericParameterizer->SetFunctionString(m_Controls.editFormula->text().toStdString()); } } template void GenericDataFittingView::GenerateModelFit_PixelBased(mitk::modelFit::ModelFitInfo::Pointer& modelFitInfo, mitk::ParameterFitImageGeneratorBase::Pointer& generator) { mitk::PixelBasedParameterFitImageGenerator::Pointer fitGenerator = mitk::PixelBasedParameterFitImageGenerator::New(); typename TParameterizer::Pointer modelParameterizer = TParameterizer::New(); auto genericParameterizer = dynamic_cast(modelParameterizer.GetPointer()); if (genericParameterizer) { genericParameterizer->SetNumberOfParameters(this->m_Controls.nrOfParams->value()); } 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(this->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 GenericDataFittingView::GenerateModelFit_ROIBased( mitk::modelFit::ModelFitInfo::Pointer& modelFitInfo, mitk::ParameterFitImageGeneratorBase::Pointer& generator) { mitk::ROIBasedParameterFitImageGenerator::Pointer fitGenerator = mitk::ROIBasedParameterFitImageGenerator::New(); typename TParameterizer::Pointer modelParameterizer = TParameterizer::New(); auto genericParameterizer = dynamic_cast(modelParameterizer.GetPointer()); if (genericParameterizer) { genericParameterizer->SetNumberOfParameters(this->m_Controls.nrOfParams->value()); } this->ConfigureInitialParametersOfParameterizer(modelParameterizer); //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(); //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); } void GenericDataFittingView::DoFit(const mitk::modelFit::ModelFitInfo* fitSession, mitk::ParameterFitImageGeneratorBase* generator) { QString message = "Fitting Data Set . . ."; m_Controls.infoBox->append(message); ///////////////////////// //create job and put it into the thread pool ParameterFitBackgroundJob* pJob = new ParameterFitBackgroundJob(generator, fitSession, this->m_selectedNode); 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); } GenericDataFittingView::GenericDataFittingView() : m_FittingInProgress(false) { m_selectedImage = nullptr; m_selectedMask = nullptr; mitk::ModelFactoryBase::Pointer factory = mitk::LinearModelFactory::New().GetPointer(); m_FactoryStack.push_back(factory); factory = mitk::GenericParamModelFactory::New().GetPointer(); m_FactoryStack.push_back(factory); factory = mitk::ExponentialDecayModelFactory::New().GetPointer(); m_FactoryStack.push_back(factory); factory = mitk::ExponentialSaturationModelFactory::New().GetPointer(); m_FactoryStack.push_back(factory); factory = mitk::TwoStepLinearModelFactory::New().GetPointer(); m_FactoryStack.push_back(factory); factory = mitk::ThreeStepLinearModelFactory::New().GetPointer(); m_FactoryStack.push_back(factory); this->m_IsNotABinaryImagePredicate = mitk::NodePredicateAnd::New( mitk::TNodePredicateDataType::New(), mitk::NodePredicateNot::New(mitk::NodePredicateProperty::New("binary", mitk::BoolProperty::New(true))), mitk::NodePredicateNot::New(mitk::NodePredicateProperty::New("helper object"))).GetPointer(); this->m_IsBinaryImagePredicate = mitk::NodePredicateAnd::New( mitk::TNodePredicateDataType::New(), mitk::NodePredicateProperty::New("binary", mitk::BoolProperty::New(true)), mitk::NodePredicateNot::New(mitk::NodePredicateProperty::New("helper object"))).GetPointer(); } void GenericDataFittingView::OnJobFinished() { this->m_Controls.infoBox->append(QString("Fitting finished")); this->m_FittingInProgress = false; this->UpdateGUIControls(); }; void GenericDataFittingView::OnJobError(QString err) { MITK_ERROR << err.toStdString().c_str(); m_Controls.infoBox->append(QString("") + err + QString("")); }; void GenericDataFittingView::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()); }; void GenericDataFittingView::OnJobProgress(double progress) { QString report = QString("Progress. ") + QString::number(progress); this->m_Controls.infoBox->append(report); }; void GenericDataFittingView::OnJobStatusChanged(QString info) { this->m_Controls.infoBox->append(info); } void GenericDataFittingView::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::ModelFitFunctorBase::Pointer GenericDataFittingView::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(); } diff --git a/Plugins/org.mitk.gui.qt.fit.genericfitting/src/internal/GenericDataFittingViewControls.ui b/Plugins/org.mitk.gui.qt.fit.genericfitting/src/internal/GenericDataFittingViewControls.ui index 69eafcff00..923d4e6988 100644 --- a/Plugins/org.mitk.gui.qt.fit.genericfitting/src/internal/GenericDataFittingViewControls.ui +++ b/Plugins/org.mitk.gui.qt.fit.genericfitting/src/internal/GenericDataFittingViewControls.ui @@ -1,379 +1,393 @@ GeneralDataFittingViewControls 0 0 556 1124 0 0 QmitkTemplate Selected Time Series: No series selected. Selected Mask: No mask selected. + + + + Show mask info + + + + + + + <html><head/><body><p>Please only use static segmentation masks as input in order to get sensible parametric map results.</p></body></html> + + + Fitting strategy 5 5 5 5 5 Pixel based true ROI based Select fitting model... Generic model settings: 5 5 5 5 Formula: Number of parameters: -1 1 10 1 Show formula info <html><head/><body><p>You may evaluate/fit simple mathematical formulas (e.g. &quot;<span style=" font-style:italic;">3.5 + a * x * sin(x) - 1 / 2</span>&quot;).</p><p>The parser is able to recognize:</p><ul style="margin-top: 0px; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; -qt-list-indent: 1;"><li style=" margin-top:12px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">sums, differences, products and divisions (a + b, 4 - 3, 2 * x, 9 / 3)</li><li style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">algebraic signs ( +5, -5)</li><li style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">exponentiation ( 2 ^ 4 )</li><li style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">parentheses (3 * (4 + 2))</li><li style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">following unary functions: <span style=" font-style:italic;">abs</span>, <span style=" font-style:italic;">exp</span>, <span style=" font-style:italic;">sin</span>, <span style=" font-style:italic;">cos</span>, <span style=" font-style:italic;">tan</span>, <span style=" font-style:italic;">sind</span> (sine in degrees), <span style=" font-style:italic;">cosd</span> (cosine in degrees), <span style=" font-style:italic;">tand</span> (tangent in degrees)</li><li style=" margin-top:0px; margin-bottom:12px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">variables (x, a, b, c, ... , j)</li></ul><p>Remark: The variable &quot;x&quot; is reserved. It is the signal position / timepoint. Don't use it for a model parameter that should be deduced by fitting (these are represented by a..j).</p></body></html> true 0 0 Model Fit Configuration 5 5 5 5 0 0 0 0 - 518 - 105 + 528 + 155 Start parameter Enter Fit Starting Parameters manually 0 0 0 0 - 492 - 258 + 158 + 232 Constraints Enter Constraints for Fit Parameters 0 0 0 200 5 Fitting name: <html><head/><body><p>Name/prefix that should be used for the fitting results.</p><p>May be explicitly defined by the user.</p></body></html> default fit name Start Modelling Generate debug parameter images 0 0 true Qt::Vertical 20 40 QmitkSimpleBarrierManagerWidget QWidget
QmitkSimpleBarrierManagerWidget.h
 QmitkInitialValuesManagerWidget QWidget
QmitkInitialValuesManagerWidget.h
 diff --git a/Plugins/org.mitk.gui.qt.pharmacokinetics.concentration.mri/src/internal/ConcentrationCurveConverterViewControls.ui b/Plugins/org.mitk.gui.qt.pharmacokinetics.concentration.mri/src/internal/ConcentrationCurveConverterViewControls.ui index b9382c9420..381ff838ce 100644 --- a/Plugins/org.mitk.gui.qt.pharmacokinetics.concentration.mri/src/internal/ConcentrationCurveConverterViewControls.ui +++ b/Plugins/org.mitk.gui.qt.pharmacokinetics.concentration.mri/src/internal/ConcentrationCurveConverterViewControls.ui @@ -1,416 +1,416 @@ ConcentrationCurveConverterViewControls 0 0 475 866 0 0 QmitkTemplate 10 T1 weighted MRI T2 weighted MRI T1 weighted images 10 10 10 3D Image 4D Image 4D Image Selected Time Series: 3D Image Selected 3D Image: QFrame::NoFrame QFrame::Plain Selected Baseline Image: QLayout::SetDefaultConstraint 4 Absolute Signal Enhancement Relative Signal Enhancement Variable Flip Angle Qt::Vertical 20 40 Enhancement Parameters: Conversion Factor k: Variable Flip Angle Parameters: Repetition Time [ms] : Proton Density Weighted Image : Relaxivity [mM⁻¹ s⁻¹] : Flip Angle PDW Image [°] 10000.000000000000000 Flip Angle [ ° ] : Baseline Range Selection: Start Time Frame End Time Frame - - - - Convert To Concentration - - - 0 2 0 0 T2 weighted images Selected Time Series: Conversion Factor k Echo Time TE [ms] Baseline Range Selection: Start Time Frame End Time Frame + + + + Convert To Concentration + + + Qt::Vertical 20 40 QmitkSingleNodeSelectionWidget QWidget
QmitkSingleNodeSelectionWidget.h
1 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 4de3092800..f44aef7012 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 @@ -1,1334 +1,1354 @@ /*============================================================================ 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 // 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::OnNodeSelectionChanged); connect(m_Controls.maskNodeSelector, &QmitkAbstractNodeSelectionWidget::CurrentSelectionChanged, this, &MRPerfusionView::OnNodeSelectionChanged); 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->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.AIFMaskNodeSelector, SLOT(setEnabled(bool))); connect(m_Controls.radioAIFImage, SIGNAL(toggled(bool)), m_Controls.checkDedicatedAIFImage, SLOT(setEnabled(bool))); - connect(m_Controls.radioAIFImage, SIGNAL(toggled(bool)), m_Controls.checkDedicatedAIFImage, SLOT(setVisible(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.radioAIFImage, SIGNAL(toggled(bool)), this, SLOT(UpdateGUIControls())); 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))); 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::OnNodeSelectionChanged(QList/*nodes*/) { m_selectedMaskNode = nullptr; m_selectedMask = nullptr; 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()); } else { this->m_Controls.initialValuesManager->setReferenceImageGeometry(nullptr); } } else { this->m_selectedNode = nullptr; this->m_selectedImage = nullptr; this->m_Controls.initialValuesManager->setReferenceImageGeometry(nullptr); } if (m_Controls.maskNodeSelector->GetSelectedNode().IsNotNull()) { this->m_selectedMaskNode = m_Controls.maskNodeSelector->GetSelectedNode(); this->m_selectedMask = dynamic_cast(m_selectedMaskNode->GetData()); 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(); mitk::ImageTimeSelector::Pointer maskedImageTimeSelector = mitk::ImageTimeSelector::New(); maskedImageTimeSelector->SetInput(this->m_selectedMask); maskedImageTimeSelector->SetTimeNr(0); maskedImageTimeSelector->UpdateLargestPossibleRegion(); this->m_selectedMask = maskedImageTimeSelector->GetOutput(); } } if (m_selectedMask.IsNull()) { this->m_Controls.radioPixelBased->setChecked(true); } 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(); } 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(); } diff --git a/Plugins/org.mitk.gui.qt.pharmacokinetics.mri/src/internal/MRPerfusionViewControls.ui b/Plugins/org.mitk.gui.qt.pharmacokinetics.mri/src/internal/MRPerfusionViewControls.ui index fcdc0cbdd8..e9d112821c 100644 --- a/Plugins/org.mitk.gui.qt.pharmacokinetics.mri/src/internal/MRPerfusionViewControls.ui +++ b/Plugins/org.mitk.gui.qt.pharmacokinetics.mri/src/internal/MRPerfusionViewControls.ui @@ -1,662 +1,676 @@ MRPerfusionViewControls 0 0 - 489 + 526 1124 0 0 0 0 QmitkTemplate QLayout::SetDefaultConstraint 4 QLayout::SetDefaultConstraint Selected Time Series: Selected Mask: 0 40 0 40 + + + + Show mask info + + + + + + + <html><head/><body><p>A separate segmentation mask is required each for the tissue and AIF mask input. <br/>Multilabel images (e.g. one segmentation with a tissue and an AIF label) are currently not supported in this view yet.</p><p>Please only use static segmentation masks as input in order to get sensible parametric map results.</p><p><br/></p><p><br/></p></body></html> + + + 0 0 0 40 Fitting strategy 5 QLayout::SetMinAndMaxSize 5 5 5 5 0 0 Pixel based true 0 0 ROI based Select pharmacokinetic model... Arterial Input Function (AIF): Select AIF from Image: 20 AIF Mask: false Dedicated AIF Image: 0 40 false 0 40 0 Select AIF from File: false Browse 5 Hematocrit Level [ ]: 1.000000000000000 0.010000000000000 Descriptive Brix-Model Parameters: QFormLayout::AllNonFixedFieldsGrow Injection Time [min]: 0 0 Model Fit Configuration 0 0 0 0 - 459 - 112 + 496 + 49 Start parameter Enter Fit Starting Parameters 0 0 0 0 158 232 Constraints Enter Constraints for Fit Parameters 0 0 0 200 0 0 345 306 Conversion: Signal to Concentration 10 No Signal Conversion true Absolute Signal Enhancement Relative Signal Enhancement Variable Flip Angle Qt::Vertical 20 40 Enhancement Parameters: Conversion Factor k: Variable Flip Angle Parameters: Repetition Time TR [ms] : Flip Angle [ ° ] : Proton Density Weighted Image : Relaxivity [mM⁻¹ s⁻¹] : 10000.000000000000000 Flip Angle PDW Image [ ° ]: Baseline Range Selection: Start Time Frame End Time Frame 5 Fitting name: <html><head/><body><p>Name/prefix that should be used for the fitting results.</p><p>May be explicitly defined by the user.</p></body></html> default fit name Start Modelling Generate debug parameter images 0 0 true Qt::Vertical QSizePolicy::Expanding 20 40 QmitkSimpleBarrierManagerWidget QWidget
QmitkSimpleBarrierManagerWidget.h
 QmitkInitialValuesManagerWidget QWidget
QmitkInitialValuesManagerWidget.h
 QmitkSingleNodeSelectionWidget QWidget
QmitkSingleNodeSelectionWidget.h
1 diff --git a/Plugins/org.mitk.gui.qt.pharmacokinetics.pet/src/internal/PETDynamicView.cpp b/Plugins/org.mitk.gui.qt.pharmacokinetics.pet/src/internal/PETDynamicView.cpp index 5b5eadb97b..b61cf96297 100644 --- a/Plugins/org.mitk.gui.qt.pharmacokinetics.pet/src/internal/PETDynamicView.cpp +++ b/Plugins/org.mitk.gui.qt.pharmacokinetics.pet/src/internal/PETDynamicView.cpp @@ -1,923 +1,926 @@ /*============================================================================ 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 "PETDynamicView.h" #include "mitkWorkbenchUtil.h" #include "mitkAterialInputFunctionGenerator.h" #include "mitkOneTissueCompartmentModelFactory.h" #include "mitkOneTissueCompartmentModelParameterizer.h" #include "mitkExtendedOneTissueCompartmentModelFactory.h" #include "mitkExtendedOneTissueCompartmentModelParameterizer.h" #include "mitkTwoTissueCompartmentFDGModelFactory.h" #include "mitkTwoTissueCompartmentFDGModelParameterizer.h" #include "mitkTwoTissueCompartmentModelFactory.h" #include "mitkTwoTissueCompartmentModelParameterizer.h" #include #include #include #include #include #include #include #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 #include const std::string PETDynamicView::VIEW_ID = "org.mitk.views.pharmacokinetics.pet"; inline double convertToDouble(const std::string& data) { std::istringstream stepStream(data); double value = 0.0; stepStream >> value; return value; } void PETDynamicView::SetFocus() { m_Controls.btnModelling->setFocus(); } void PETDynamicView::CreateQtPartControl(QWidget* parent) { m_Controls.setupUi(parent); m_Controls.btnModelling->setEnabled(false); m_Controls.errorMessageLabel->hide(); this->InitModelComboBox(); + m_Controls.labelMaskInfo->hide(); 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())); //AIF setting m_Controls.groupAIF->hide(); m_Controls.btnAIFFile->setEnabled(false); m_Controls.btnAIFFile->setEnabled(false); m_Controls.radioAIFImage->setChecked(true); m_Controls.comboAIFMask->SetDataStorage(this->GetDataStorage()); m_Controls.comboAIFMask->SetPredicate(m_IsMaskPredicate); m_Controls.comboAIFMask->setVisible(true); m_Controls.comboAIFMask->setEnabled(true); m_Controls.comboAIFImage->SetDataStorage(this->GetDataStorage()); m_Controls.comboAIFImage->SetPredicate(m_IsNoMaskImagePredicate); m_Controls.comboAIFImage->setEnabled(false); m_Controls.checkDedicatedAIFImage->setEnabled(true); m_Controls.HCLSpinBox->setValue(0.0); connect(m_Controls.radioAIFImage, SIGNAL(toggled(bool)), m_Controls.comboAIFMask, SLOT(setVisible(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.comboAIFMask, SLOT(setEnabled(bool))); connect(m_Controls.radioAIFImage, SIGNAL(toggled(bool)), m_Controls.checkDedicatedAIFImage, SLOT(setEnabled(bool))); connect(m_Controls.radioAIFImage, SIGNAL(toggled(bool)), m_Controls.checkDedicatedAIFImage, SLOT(setVisible(bool))); connect(m_Controls.radioAIFImage, SIGNAL(toggled(bool)), m_Controls.comboAIFImage, SLOT(setVisible(bool))); connect(m_Controls.checkDedicatedAIFImage, SIGNAL(toggled(bool)), m_Controls.comboAIFImage, SLOT(setEnabled(bool))); connect(m_Controls.radioAIFImage, SIGNAL(toggled(bool)), this, SLOT(UpdateGUIControls())); connect(m_Controls.radioAIFFile, SIGNAL(toggled(bool)), m_Controls.btnAIFFile, SLOT(setEnabled(bool))); connect(m_Controls.radioAIFFile, SIGNAL(toggled(bool)), m_Controls.aifFilePath, SLOT(setEnabled(bool))); connect(m_Controls.radioAIFFile, SIGNAL(toggled(bool)), this, SLOT(UpdateGUIControls())); connect(m_Controls.btnAIFFile, SIGNAL(clicked()), this, SLOT(LoadAIFfromFile())); + connect(m_Controls.checkMaskInfo, SIGNAL(toggled(bool)), m_Controls.labelMaskInfo, + SLOT(setVisible(bool))); //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))); UpdateGUIControls(); } void PETDynamicView::UpdateGUIControls() { m_Controls.lineFitName->setPlaceholderText(QString::fromStdString(this->GetDefaultFitName())); m_Controls.lineFitName->setEnabled(!m_FittingInProgress); m_Controls.checkBox_Constraints->setEnabled(m_modelConstraints.IsNotNull()); bool is1TCMFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; bool isExt1TCMFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; bool isFDGCMFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; bool is2TCMFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; m_Controls.groupAIF->setVisible(is1TCMFactory || isExt1TCMFactory || isFDGCMFactory || is2TCMFactory); 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.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()); } //void PETDynamicView::OnModelSettingChanged() //{ // bool ok = m_selectedImage.IsNotNull() && m_selectedModelFactory.IsNotNull() && !m_FittingInProgress && CheckModelSettings(); // m_Controls.btnModelling->setEnabled(ok); //} void PETDynamicView::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()); } m_Controls.checkBox_Constraints->setEnabled(m_modelConstraints.IsNotNull()); UpdateGUIControls(); } std::string PETDynamicView::GetFitName() const { std::string fitName = m_Controls.lineFitName->text().toStdString(); if (fitName.empty()) { fitName = m_Controls.lineFitName->placeholderText().toStdString(); } return fitName; } std::string PETDynamicView::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 PETDynamicView::OnModellingButtonClicked() { //check if all static parameters set if (m_selectedModelFactory.IsNotNull() && CheckModelSettings()) { mitk::ParameterFitImageGeneratorBase::Pointer generator = nullptr; mitk::modelFit::ModelFitInfo::Pointer fitSession = nullptr; bool isOTCFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; bool isextOTCFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; bool isFDGFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; bool isTTCFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; if (isOTCFactory) { if (this->m_Controls.radioPixelBased->isChecked()) { GenerateModelFit_PixelBased(fitSession, generator); } else { GenerateModelFit_ROIBased(fitSession, generator); } } else if (isextOTCFactory) { if (this->m_Controls.radioPixelBased->isChecked()) { GenerateModelFit_PixelBased(fitSession, generator); } else { GenerateModelFit_ROIBased(fitSession, generator); } } else if (isFDGFactory) { if (this->m_Controls.radioPixelBased->isChecked()) { GenerateModelFit_PixelBased(fitSession, generator); } else { GenerateModelFit_ROIBased(fitSession, generator); } } else if (isTTCFactory) { if (this->m_Controls.radioPixelBased->isChecked()) { GenerateModelFit_PixelBased(fitSession, generator); } else { GenerateModelFit_ROIBased(fitSession, generator); } } //add other models with else if if (generator.IsNotNull() && fitSession.IsNotNull()) { m_FittingInProgress = true; 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 PETDynamicView::OnSelectionChanged(berry::IWorkbenchPart::Pointer /*source*/, const QList& selectedNodes) { m_selectedMaskNode = nullptr; m_selectedMask = nullptr; m_Controls.errorMessageLabel->setText(""); m_Controls.masklabel->setText("No (valid) mask selected."); m_Controls.timeserieslabel->setText("No (valid) series selected."); QList nodes = selectedNodes; if (nodes.size() > 0 && this->m_IsNoMaskImagePredicate->CheckNode(nodes.front())) { this->m_selectedNode = nodes.front(); auto selectedImage = dynamic_cast(this->m_selectedNode->GetData()); m_Controls.timeserieslabel->setText((this->m_selectedNode->GetName()).c_str()); if (selectedImage != this->m_selectedImage) { if (selectedImage) { this->m_Controls.initialValuesManager->setReferenceImageGeometry(selectedImage->GetGeometry()); } else { this->m_Controls.initialValuesManager->setReferenceImageGeometry(nullptr); } } this->m_selectedImage = selectedImage; nodes.pop_front(); } else { this->m_selectedNode = nullptr; this->m_selectedImage = nullptr; this->m_Controls.initialValuesManager->setReferenceImageGeometry(nullptr); } if (nodes.size() > 0 && this->m_IsMaskPredicate->CheckNode(nodes.front())) { this->m_selectedMaskNode = nodes.front(); this->m_selectedMask = dynamic_cast(this->m_selectedMaskNode->GetData()); if (this->m_selectedMask->GetTimeSteps() > 1) { MITK_INFO << "Selected mask has multiple timesteps. Only use first timestep to mask model fit. Mask name: " << m_selectedMaskNode->GetName(); mitk::ImageTimeSelector::Pointer maskedImageTimeSelector = mitk::ImageTimeSelector::New(); maskedImageTimeSelector->SetInput(this->m_selectedMask); maskedImageTimeSelector->SetTimeNr(0); maskedImageTimeSelector->UpdateLargestPossibleRegion(); this->m_selectedMask = maskedImageTimeSelector->GetOutput(); } m_Controls.masklabel->setText((this->m_selectedMaskNode->GetName()).c_str()); } if (m_selectedMask.IsNull()) { this->m_Controls.radioPixelBased->setChecked(true); } m_Controls.errorMessageLabel->show(); UpdateGUIControls(); } bool PETDynamicView::CheckModelSettings() const { bool ok = true; //check whether any model is set at all. Otherwise exit with false if (m_selectedModelFactory.IsNotNull()) { bool isOTCFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; bool isextOTCFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; bool isFDGFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; bool isTTCFactory = dynamic_cast (m_selectedModelFactory.GetPointer()) != nullptr; if (isOTCFactory || isextOTCFactory || isFDGFactory || isTTCFactory) { if (this->m_Controls.radioAIFImage->isChecked()) { ok = ok && m_Controls.comboAIFMask->GetSelectedNode().IsNotNull(); if (this->m_Controls.checkDedicatedAIFImage->isChecked()) { ok = ok && m_Controls.comboAIFImage->GetSelectedNode().IsNotNull(); } } else if (this->m_Controls.radioAIFFile->isChecked()) { ok = ok && (this->AIFinputGrid.size() != 0) && (this->AIFinputFunction.size() != 0); } 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; } void PETDynamicView::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); } } template void PETDynamicView::GenerateModelFit_PixelBased( mitk::modelFit::ModelFitInfo::Pointer& modelFitInfo, mitk::ParameterFitImageGeneratorBase::Pointer& generator) { mitk::PixelBasedParameterFitImageGenerator::Pointer fitGenerator = mitk::PixelBasedParameterFitImageGenerator::New(); typename TParameterizer::Pointer modelParameterizer = TParameterizer::New(); mitk::AIFBasedModelBase::AterialInputFunctionType aif; mitk::AIFBasedModelBase::TimeGridType aifTimeGrid; GetAIF(aif, aifTimeGrid); //Model configuration (static parameters) can be done now 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 = m_selectedMask->GetUID(); } fitGenerator->SetDynamicImage(this->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); 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 PETDynamicView::GenerateModelFit_ROIBased( mitk::modelFit::ModelFitInfo::Pointer& modelFitInfo, mitk::ParameterFitImageGeneratorBase::Pointer& generator) { mitk::ROIBasedParameterFitImageGenerator::Pointer fitGenerator = mitk::ROIBasedParameterFitImageGenerator::New(); typename TParameterizer::Pointer modelParameterizer = TParameterizer::New(); //Compute AIF mitk::AterialInputFunctionGenerator::Pointer aifGenerator = mitk::AterialInputFunctionGenerator::New(); aifGenerator->SetDynamicImage(this->m_selectedImage); aifGenerator->SetMask(this->m_selectedAIFMask); mitk::AIFBasedModelBase::AterialInputFunctionType aif = aifGenerator->GetAterialInputFunction(); mitk::AIFBasedModelBase::TimeGridType aifTimeGrid = aifGenerator->GetAterialInputFunctionTimeGrid(); //Model configuration (static parameters) can be done now 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(m_selectedImage); 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(m_selectedImage)); generator = fitGenerator.GetPointer(); std::string roiUID = ""; if (m_selectedMask.IsNotNull()) { roiUID = 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); 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 PETDynamicView::DoFit(const mitk::modelFit::ModelFitInfo* fitSession, mitk::ParameterFitImageGeneratorBase* generator) { std::stringstream message; message << "" << "Fitting Data Set . . ." << ""; m_Controls.errorMessageLabel->setText(message.str().c_str()); m_Controls.errorMessageLabel->show(); ///////////////////////// //create job and put it into the thread pool ParameterFitBackgroundJob* pJob = new ParameterFitBackgroundJob(generator, fitSession, this->m_selectedNode); 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); } PETDynamicView::PETDynamicView() : m_FittingInProgress(false) { m_selectedImage = nullptr; m_selectedMask = nullptr; mitk::ModelFactoryBase::Pointer factory = mitk::OneTissueCompartmentModelFactory::New().GetPointer(); m_FactoryStack.push_back(factory); factory = mitk::ExtendedOneTissueCompartmentModelFactory::New().GetPointer(); m_FactoryStack.push_back(factory); factory = mitk::TwoTissueCompartmentModelFactory::New().GetPointer(); m_FactoryStack.push_back(factory); factory = mitk::TwoTissueCompartmentFDGModelFactory::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::NodePredicateOr::Pointer isMask = mitk::NodePredicateOr::New(isLegacyMask, isLabelSet); mitk::NodePredicateAnd::Pointer isNoMask = mitk::NodePredicateAnd::New(isImage, mitk::NodePredicateNot::New(isMask)); 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(); } void PETDynamicView::OnJobFinished() { this->m_Controls.infoBox->append(QString("Fitting finished")); this->m_FittingInProgress = false; }; void PETDynamicView::OnJobError(QString err) { MITK_ERROR << err.toStdString().c_str(); m_Controls.infoBox->append(QString("") + err + QString("")); }; void PETDynamicView::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()); m_Controls.errorMessageLabel->setText(""); m_Controls.errorMessageLabel->hide(); }; void PETDynamicView::OnJobProgress(double progress) { QString report = QString("Progress. ") + QString::number(progress); this->m_Controls.infoBox->append(report); }; void PETDynamicView::OnJobStatusChanged(QString info) { this->m_Controls.infoBox->append(info); } void PETDynamicView::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::ModelFitFunctorBase::Pointer PETDynamicView::CreateDefaultFitFunctor( const mitk::ModelParameterizerBase* parameterizer) const { mitk::LevenbergMarquardtModelFitFunctor::Pointer fitFunctor = mitk::LevenbergMarquardtModelFitFunctor::New(); mitk::SumOfSquaredDifferencesFitCostFunction::Pointer evaluation = mitk::SumOfSquaredDifferencesFitCostFunction::New(); fitFunctor->RegisterEvaluationParameter("sum_diff^2", evaluation); mitk::ChiSquareFitCostFunction::Pointer chi2 = mitk::ChiSquareFitCostFunction::New(); fitFunctor->RegisterEvaluationParameter("Chi^2", chi2); mitk::ReducedChiSquareFitCostFunction::Pointer redchi2 = mitk::ReducedChiSquareFitCostFunction::New(); fitFunctor->RegisterEvaluationParameter("redChi^2", redchi2); 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); return fitFunctor.GetPointer(); } void PETDynamicView::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.comboAIFMask->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.comboAIFImage->GetSelectedNode(); this->m_selectedAIFImage = dynamic_cast(this->m_selectedAIFImageNode->GetData()); } else { this->m_selectedAIFImageNode = m_selectedNode; this->m_selectedAIFImage = m_selectedImage; } aifGenerator->SetDynamicImage(this->m_selectedAIFImage); aif = aifGenerator->GetAterialInputFunction(); aifTimeGrid = aifGenerator->GetAterialInputFunctionTimeGrid(); } else { mitkThrow() << "Cannot generate AIF. View is in a invalid state. No AIF mode selected."; } } void PETDynamicView::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()) { m_Controls.errorMessageLabel->setText("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()); // if (vec1.size() < 3) continue; this->AIFinputGrid.push_back(convertToDouble(vec1[0])); this->AIFinputFunction.push_back(convertToDouble(vec1[1])); } } diff --git a/Plugins/org.mitk.gui.qt.pharmacokinetics.pet/src/internal/PETDynamicViewControls.ui b/Plugins/org.mitk.gui.qt.pharmacokinetics.pet/src/internal/PETDynamicViewControls.ui index ab1f608646..c4a7591b07 100644 --- a/Plugins/org.mitk.gui.qt.pharmacokinetics.pet/src/internal/PETDynamicViewControls.ui +++ b/Plugins/org.mitk.gui.qt.pharmacokinetics.pet/src/internal/PETDynamicViewControls.ui @@ -1,325 +1,348 @@ PETDynamicViewControls 0 0 745 898 0 0 QmitkTemplate Selected Time Series: No series selected. Selected Mask: No mask selected. + + + + Show mask info + + + + + + + <html><head/><body><p>A separate segmentation mask is required each for the tissue and AIF mask input. <br/>Multilabel images (e.g. one segmentation with a tissue and an AIF label) are currently not supported in this view yet.</p><p>Please only use static segmentation masks as input in order to get sensible parametric map results.</p></body></html> + + + Fitting strategy 5 - + + 5 + + + 5 + + + 5 + + 5 Pixel based true ROI based Message - Select pharmacokinetic model... AIF Mask: Select AIF from Image: AIF Mask: Dedicated AIF Image: Select AIF from File: Browse Whole Blood to Plasma Correction: Model Fit Configuration 1 0 0 - 701 - 129 + 180 + 32 Start Parameters Enter parameter starting values manually: 0 0 - 701 - 129 + 715 + 176 Constraints Enter Constraints for Fit Parameters 0 0 Fitting name: Start Modelling true QmitkSimpleBarrierManagerWidget QWidget
QmitkSimpleBarrierManagerWidget.h
 QmitkInitialValuesManagerWidget QWidget
QmitkInitialValuesManagerWidget.h
 QmitkDataStorageComboBox QWidget
QmitkDataStorageComboBox.h