void QmitkNavigationButtonsView::SetEnumProp(
mitk::DataStorage::SetOfObjects::Pointer set,
std::string name, mitk::EnumerationProperty::Pointer value)
{
if(set.IsNotNull())
{
mitk::DataStorage::SetOfObjects::const_iterator itemiter( set->begin() );
mitk::DataStorage::SetOfObjects::const_iterator itemiterend( set->end() );
while ( itemiter != itemiterend )
{
(*itemiter)->SetProperty(name.c_str(), value);
++itemiter;
}
}
}
void QmitkTensorReconstructionView::DoTensorsToDWI(mitk::DataStorage::SetOfObjects::Pointer inImages)
{
try
{
itk::TimeProbe clock;
int nrFiles = inImages->size();
if (!nrFiles) return;
QString status;
mitk::ProgressBar::GetInstance()->AddStepsToDo(nrFiles);
mitk::DataStorage::SetOfObjects::const_iterator itemiter( inImages->begin() );
mitk::DataStorage::SetOfObjects::const_iterator itemiterend( inImages->end() );
std::vector<mitk::DataNode::Pointer> nodes;
while ( itemiter != itemiterend ) // for all items
{
std::string nodename;
(*itemiter)->GetStringProperty("name", nodename);
mitk::TensorImage* vol =
static_cast<mitk::TensorImage*>((*itemiter)->GetData());
++itemiter;
typedef float TTensorPixelType;
typedef itk::DiffusionTensor3D< TTensorPixelType > TensorPixelType;
typedef itk::Image< TensorPixelType, 3 > TensorImageType;
TensorImageType::Pointer itkvol = TensorImageType::New();
mitk::CastToItkImage<TensorImageType>(vol, itkvol);
typedef itk::TensorImageToDiffusionImageFilter<
TTensorPixelType, DiffusionPixelType > FilterType;
FilterType::GradientListType gradientList;
switch(m_Controls->m_TensorsToDWINumDirsSelect->currentIndex())
{
case 0:
gradientList = MakeGradientList<12>();
break;
case 1:
gradientList = MakeGradientList<42>();
break;
case 2:
gradientList = MakeGradientList<92>();
break;
case 3:
gradientList = MakeGradientList<162>();
break;
case 4:
gradientList = MakeGradientList<252>();
break;
case 5:
gradientList = MakeGradientList<362>();
break;
case 6:
gradientList = MakeGradientList<492>();
break;
case 7:
gradientList = MakeGradientList<642>();
break;
case 8:
gradientList = MakeGradientList<812>();
break;
case 9:
gradientList = MakeGradientList<1002>();
break;
default:
gradientList = MakeGradientList<92>();
}
double bVal = m_Controls->m_TensorsToDWIBValueEdit->text().toDouble();
// DWI ESTIMATION
clock.Start();
MBI_INFO << "DWI Estimation ";
mitk::StatusBar::GetInstance()->DisplayText(status.sprintf(
"DWI Estimation for %s", nodename.c_str()).toAscii());
FilterType::Pointer filter = FilterType::New();
filter->SetInput( itkvol );
filter->SetBValue(bVal);
filter->SetGradientList(gradientList);
//filter->SetNumberOfThreads(1);
filter->Update();
clock.Stop();
MBI_DEBUG << "took " << clock.GetMeanTime() << "s.";
// TENSORS TO DATATREE
mitk::DiffusionImage<DiffusionPixelType>::Pointer image = mitk::DiffusionImage<DiffusionPixelType>::New();
image->SetVectorImage( filter->GetOutput() );
image->SetB_Value(bVal);
image->SetDirections(gradientList);
image->InitializeFromVectorImage();
mitk::DataNode::Pointer node=mitk::DataNode::New();
node->SetData( image );
mitk::DiffusionImageMapper<short>::SetDefaultProperties(node);
QString newname;
newname = newname.append(nodename.c_str());
newname = newname.append("_dwi");
node->SetName(newname.toAscii());
nodes.push_back(node);
mitk::ProgressBar::GetInstance()->Progress();
}
std::vector<mitk::DataNode::Pointer>::iterator nodeIt;
for(nodeIt = nodes.begin(); nodeIt != nodes.end(); ++nodeIt)
GetDefaultDataStorage()->Add(*nodeIt);
mitk::StatusBar::GetInstance()->DisplayText(status.sprintf("Finished Processing %d Files", nrFiles).toAscii());
m_MultiWidget->RequestUpdate();
}
catch (itk::ExceptionObject &ex)
{
MITK_INFO << ex ;
QMessageBox::information(0, "DWI estimation failed:", ex.GetDescription());
return ;
}
}
void QmitkTensorReconstructionView::ItkTensorReconstruction(mitk::DataStorage::SetOfObjects::Pointer inImages)
{
try
{
itk::TimeProbe clock;
int nrFiles = inImages->size();
if (!nrFiles) return;
QString status;
mitk::ProgressBar::GetInstance()->AddStepsToDo(nrFiles);
mitk::DataStorage::SetOfObjects::const_iterator itemiter( inImages->begin() );
mitk::DataStorage::SetOfObjects::const_iterator itemiterend( inImages->end() );
std::vector<mitk::DataNode::Pointer> nodes;
while ( itemiter != itemiterend ) // for all items
{
mitk::DiffusionImage<DiffusionPixelType>* vols =
static_cast<mitk::DiffusionImage<DiffusionPixelType>*>(
(*itemiter)->GetData());
std::string nodename;
(*itemiter)->GetStringProperty("name", nodename);
++itemiter;
// TENSOR RECONSTRUCTION
clock.Start();
MITK_DEBUG << "Tensor reconstruction ";
mitk::StatusBar::GetInstance()->DisplayText(status.sprintf("Tensor reconstruction for %s", nodename.c_str()).toAscii());
typedef itk::DiffusionTensor3DReconstructionImageFilter<
DiffusionPixelType, DiffusionPixelType, TTensorPixelType > TensorReconstructionImageFilterType;
TensorReconstructionImageFilterType::Pointer tensorReconstructionFilter =
TensorReconstructionImageFilterType::New();
tensorReconstructionFilter->SetGradientImage( vols->GetDirections(), vols->GetVectorImage() );
tensorReconstructionFilter->SetBValue(vols->GetB_Value());
tensorReconstructionFilter->SetThreshold( m_Controls->m_TensorReconstructionThreshold->value() );
tensorReconstructionFilter->Update();
clock.Stop();
MITK_DEBUG << "took " << clock.GetMeanTime() << "s.";
// TENSORS TO DATATREE
mitk::TensorImage::Pointer image = mitk::TensorImage::New();
typedef itk::Image<itk::DiffusionTensor3D<TTensorPixelType>, 3> TensorImageType;
TensorImageType::Pointer tensorImage;
tensorImage = tensorReconstructionFilter->GetOutput();
// Check the tensor for negative eigenvalues
if(m_Controls->m_CheckNegativeEigenvalues->isChecked())
{
typedef itk::ImageRegionIterator<TensorImageType> TensorImageIteratorType;
TensorImageIteratorType tensorIt(tensorImage, tensorImage->GetRequestedRegion());
tensorIt.GoToBegin();
while(!tensorIt.IsAtEnd())
{
typedef itk::DiffusionTensor3D<TTensorPixelType> TensorType;
//typedef itk::Tensor<TTensorPixelType, 3> TensorType2;
TensorType tensor = tensorIt.Get();
TensorType::EigenValuesArrayType ev;
tensor.ComputeEigenValues(ev);
for(unsigned int i=0; i<ev.Size(); i++)
{
if(ev[i] < 0.0)
{
tensor.Fill(0.0);
tensorIt.Set(tensor);
break;
}
}
++tensorIt;
}
}
tensorImage->SetDirection( vols->GetVectorImage()->GetDirection() );
image->InitializeByItk( tensorImage.GetPointer() );
image->SetVolume( tensorReconstructionFilter->GetOutput()->GetBufferPointer() );
mitk::DataNode::Pointer node=mitk::DataNode::New();
node->SetData( image );
QString newname;
newname = newname.append(nodename.c_str());
newname = newname.append("_dti");
SetDefaultNodeProperties(node, newname.toStdString());
nodes.push_back(node);
mitk::ProgressBar::GetInstance()->Progress();
}
std::vector<mitk::DataNode::Pointer>::iterator nodeIt;
for(nodeIt = nodes.begin(); nodeIt != nodes.end(); ++nodeIt)
GetDefaultDataStorage()->Add(*nodeIt);
mitk::StatusBar::GetInstance()->DisplayText(status.sprintf("Finished Processing %d Files", nrFiles).toAscii());
m_MultiWidget->RequestUpdate();
}
catch (itk::ExceptionObject &ex)
{
MITK_INFO << ex ;
QMessageBox::information(0, "Reconstruction not possible:", ex.GetDescription());
return;
}
}
void QmitkTensorReconstructionView::TensorReconstructionWithCorr
(mitk::DataStorage::SetOfObjects::Pointer inImages)
{
try
{
itk::TimeProbe clock;
int nrFiles = inImages->size();
if (!nrFiles) return;
QString status;
mitk::ProgressBar::GetInstance()->AddStepsToDo(nrFiles);
mitk::DataStorage::SetOfObjects::const_iterator itemiter( inImages->begin() );
mitk::DataStorage::SetOfObjects::const_iterator itemiterend( inImages->end() );
std::vector<mitk::DataNode::Pointer> nodes;
while ( itemiter != itemiterend ) // for all items
{
typedef mitk::DiffusionImage<DiffusionPixelType> DiffusionImageType;
DiffusionImageType* vols = static_cast<DiffusionImageType*>((*itemiter)->GetData());
std::string nodename;
(*itemiter)->GetStringProperty("name", nodename);
++itemiter;
// TENSOR RECONSTRUCTION
clock.Start();
MITK_INFO << "Tensor reconstruction with correction for negative eigenvalues";
mitk::StatusBar::GetInstance()->DisplayText(status.sprintf("Tensor reconstruction for %s", nodename.c_str()).toAscii());
typedef itk::TensorReconstructionWithEigenvalueCorrectionFilter< DiffusionPixelType, TTensorPixelType > ReconstructionFilter;
float b0Threshold = m_Controls->m_TensorReconstructionThreshold->value();
ReconstructionFilter::Pointer reconFilter = ReconstructionFilter::New();
reconFilter->SetGradientImage( vols->GetDirections(), vols->GetVectorImage() );
reconFilter->SetBValue(vols->GetB_Value());
reconFilter->SetB0Threshold(b0Threshold);
reconFilter->Update();
typedef itk::Image<itk::DiffusionTensor3D<TTensorPixelType>, 3> TensorImageType;
TensorImageType::Pointer outputTensorImg = reconFilter->GetOutput();
typedef itk::ImageRegionIterator<TensorImageType> TensorImageIteratorType;
TensorImageIteratorType tensorIt(outputTensorImg, outputTensorImg->GetRequestedRegion());
tensorIt.GoToBegin();
int negatives = 0;
while(!tensorIt.IsAtEnd())
{
typedef itk::DiffusionTensor3D<TTensorPixelType> TensorType;
TensorType tensor = tensorIt.Get();
TensorType::EigenValuesArrayType ev;
tensor.ComputeEigenValues(ev);
for(unsigned int i=0; i<ev.Size(); i++)
{
if(ev[i] < 0.0)
{
tensor.Fill(0.0);
tensorIt.Set(tensor);
negatives++;
break;
}
}
++tensorIt;
}
MITK_INFO << negatives << " tensors with negative eigenvalues" << std::endl;
mitk::TensorImage::Pointer image = mitk::TensorImage::New();
image->InitializeByItk( outputTensorImg.GetPointer() );
image->SetVolume( outputTensorImg->GetBufferPointer() );
mitk::DataNode::Pointer node=mitk::DataNode::New();
node->SetData( image );
QString newname;
newname = newname.append(nodename.c_str());
newname = newname.append("_dti_corrected");
SetDefaultNodeProperties(node, newname.toStdString());
nodes.push_back(node);
// Corrected diffusion image
// typedef itk::VectorImage<short, 3> ImageType;
// ImageType::Pointer correctedVols = reconFilter->GetVectorImage();
// DiffusionImageType::Pointer correctedDiffusion = DiffusionImageType::New();
// correctedDiffusion->SetVectorImage(correctedVols);
// correctedDiffusion->SetDirections(vols->GetDirections());
// correctedDiffusion->SetB_Value(vols->GetB_Value());
// correctedDiffusion->InitializeFromVectorImage();
// mitk::DataNode::Pointer diffNode = mitk::DataNode::New();
// diffNode->SetData( correctedDiffusion );
// QString diffname;
// diffname = diffname.append(nodename.c_str());
// diffname = diffname.append("corrDiff");
// SetDefaultNodeProperties(diffNode, diffname.toStdString());
// nodes.push_back(diffNode);
mitk::ProgressBar::GetInstance()->Progress();
}
std::vector<mitk::DataNode::Pointer>::iterator nodeIt;
for(nodeIt = nodes.begin(); nodeIt != nodes.end(); ++nodeIt)
GetDefaultDataStorage()->Add(*nodeIt);
mitk::StatusBar::GetInstance()->DisplayText(status.sprintf("Finished Processing %d Files", nrFiles).toAscii());
m_MultiWidget->RequestUpdate();
}
catch (itk::ExceptionObject &ex)
{
MITK_INFO << ex ;
QMessageBox::information(0, "Reconstruction not possible:", ex.GetDescription());
}
}
void QmitkDiffusionQuantificationView::TensorQuantification(
mitk::DataStorage::SetOfObjects::Pointer inImages, int method)
{
itk::TimeProbe clock;
QString status;
int nrFiles = inImages->size();
if (!nrFiles) return;
mitk::DataStorage::SetOfObjects::const_iterator itemiter( inImages->begin() );
mitk::DataStorage::SetOfObjects::const_iterator itemiterend( inImages->end() );
std::vector<mitk::DataNode::Pointer> nodes;
while ( itemiter != itemiterend ) // for all items
{
typedef float TTensorPixelType;
typedef itk::DiffusionTensor3D< TTensorPixelType > TensorPixelType;
typedef itk::Image< TensorPixelType, 3 > TensorImageType;
mitk::Image* vol =
static_cast<mitk::Image*>((*itemiter)->GetData());
TensorImageType::Pointer itkvol = TensorImageType::New();
mitk::CastToItkImage<TensorImageType>(vol, itkvol);
std::string nodename;
(*itemiter)->GetStringProperty("name", nodename);
++itemiter;
// COMPUTE FA
clock.Start();
MBI_INFO << "Computing FA ";
mitk::StatusBar::GetInstance()->DisplayText(status.sprintf(
"Computing FA for %s", nodename.c_str()).toAscii());
typedef itk::Image< TTensorPixelType, 3 > FAImageType;
typedef itk::ShiftScaleImageFilter<FAImageType, FAImageType>
ShiftScaleFilterType;
ShiftScaleFilterType::Pointer multi =
ShiftScaleFilterType::New();
multi->SetShift(0.0);
multi->SetScale(m_Controls->m_ScaleImageValuesBox->value());//itk::NumericTraits<RealValueType>::max()
typedef itk::TensorDerivedMeasurementsFilter<TTensorPixelType> MeasurementsType;
if(method == 0) //FA
{
/* typedef itk::TensorFractionalAnisotropyImageFilter<
TensorImageType, FAImageType > FilterType;
FilterType::Pointer anisotropyFilter = FilterType::New();
anisotropyFilter->SetInput( itkvol.GetPointer() );
anisotropyFilter->Update();
multi->SetInput(anisotropyFilter->GetOutput());
nodename = QString(nodename.c_str()).append("_FA").toStdString();*/
MeasurementsType::Pointer measurementsCalculator = MeasurementsType::New();
measurementsCalculator->SetInput(itkvol.GetPointer() );
measurementsCalculator->SetMeasure(MeasurementsType::FA);
measurementsCalculator->Update();
multi->SetInput(measurementsCalculator->GetOutput());
nodename = QString(nodename.c_str()).append("_FA").toStdString();
}
else if(method == 1) //RA
{
/*typedef itk::TensorRelativeAnisotropyImageFilter<
TensorImageType, FAImageType > FilterType;
FilterType::Pointer anisotropyFilter = FilterType::New();
anisotropyFilter->SetInput( itkvol.GetPointer() );
anisotropyFilter->Update();
multi->SetInput(anisotropyFilter->GetOutput());
nodename = QString(nodename.c_str()).append("_RA").toStdString();*/
MeasurementsType::Pointer measurementsCalculator = MeasurementsType::New();
measurementsCalculator->SetInput(itkvol.GetPointer() );
measurementsCalculator->SetMeasure(MeasurementsType::RA);
measurementsCalculator->Update();
multi->SetInput(measurementsCalculator->GetOutput());
nodename = QString(nodename.c_str()).append("_RA").toStdString();
}
else if(method == 2) // AD (Axial diffusivity)
{
MeasurementsType::Pointer measurementsCalculator = MeasurementsType::New();
measurementsCalculator->SetInput(itkvol.GetPointer() );
measurementsCalculator->SetMeasure(MeasurementsType::AD);
measurementsCalculator->Update();
multi->SetInput(measurementsCalculator->GetOutput());
nodename = QString(nodename.c_str()).append("_AD").toStdString();
}
else if(method == 3) // RD (Radial diffusivity, (Lambda2+Lambda3)/2
{
MeasurementsType::Pointer measurementsCalculator = MeasurementsType::New();
measurementsCalculator->SetInput(itkvol.GetPointer() );
measurementsCalculator->SetMeasure(MeasurementsType::RD);
measurementsCalculator->Update();
multi->SetInput(measurementsCalculator->GetOutput());
nodename = QString(nodename.c_str()).append("_RD").toStdString();
}
else if(method == 4) // 1-(Lambda2+Lambda3)/(2*Lambda1)
{
MeasurementsType::Pointer measurementsCalculator = MeasurementsType::New();
measurementsCalculator->SetInput(itkvol.GetPointer() );
measurementsCalculator->SetMeasure(MeasurementsType::CA);
measurementsCalculator->Update();
multi->SetInput(measurementsCalculator->GetOutput());
nodename = QString(nodename.c_str()).append("_CA").toStdString();
}
else if(method == 5) // MD (Mean Diffusivity, (Lambda1+Lambda2+Lambda3)/3 )
{
MeasurementsType::Pointer measurementsCalculator = MeasurementsType::New();
measurementsCalculator->SetInput(itkvol.GetPointer() );
measurementsCalculator->SetMeasure(MeasurementsType::MD);
measurementsCalculator->Update();
multi->SetInput(measurementsCalculator->GetOutput());
nodename = QString(nodename.c_str()).append("_MD").toStdString();
}
multi->Update();
clock.Stop();
MBI_DEBUG << "took " << clock.GetMeanTime() << "s.";
// FA TO DATATREE
mitk::Image::Pointer image = mitk::Image::New();
image->InitializeByItk( multi->GetOutput() );
image->SetVolume( multi->GetOutput()->GetBufferPointer() );
mitk::DataNode::Pointer node=mitk::DataNode::New();
node->SetData( image );
node->SetProperty( "name", mitk::StringProperty::New(nodename) );
nodes.push_back(node);
mitk::StatusBar::GetInstance()->DisplayText("Computation complete.");
}
std::vector<mitk::DataNode::Pointer>::iterator nodeIt;
for(nodeIt = nodes.begin(); nodeIt != nodes.end(); ++nodeIt)
GetDefaultDataStorage()->Add(*nodeIt);
m_MultiWidget->RequestUpdate();
}
void QmitkDiffusionQuantificationView::QBIQuantification(
mitk::DataStorage::SetOfObjects::Pointer inImages, int method)
{
itk::TimeProbe clock;
QString status;
int nrFiles = inImages->size();
if (!nrFiles) return;
mitk::DataStorage::SetOfObjects::const_iterator itemiter( inImages->begin() );
mitk::DataStorage::SetOfObjects::const_iterator itemiterend( inImages->end() );
std::vector<mitk::DataNode::Pointer> nodes;
while ( itemiter != itemiterend ) // for all items
{
typedef float TOdfPixelType;
const int odfsize = QBALL_ODFSIZE;
typedef itk::Vector<TOdfPixelType,odfsize> OdfVectorType;
typedef itk::Image<OdfVectorType,3> OdfVectorImgType;
mitk::Image* vol =
static_cast<mitk::Image*>((*itemiter)->GetData());
OdfVectorImgType::Pointer itkvol = OdfVectorImgType::New();
mitk::CastToItkImage<OdfVectorImgType>(vol, itkvol);
std::string nodename;
(*itemiter)->GetStringProperty("name", nodename);
++itemiter;
float p1 = m_Controls->m_ParamKEdit->text().toFloat();
float p2 = m_Controls->m_ParamPEdit->text().toFloat();
// COMPUTE RA
clock.Start();
MBI_INFO << "Computing GFA ";
mitk::StatusBar::GetInstance()->DisplayText(status.sprintf(
"Computing GFA for %s", nodename.c_str()).toAscii());
typedef OdfVectorType::ValueType RealValueType;
typedef itk::Image< RealValueType, 3 > RAImageType;
typedef itk::DiffusionQballGeneralizedFaImageFilter<TOdfPixelType,TOdfPixelType,odfsize>
GfaFilterType;
GfaFilterType::Pointer gfaFilter = GfaFilterType::New();
gfaFilter->SetInput(itkvol);
double scale = 1;
std::string newname;
newname.append(nodename);
switch(method)
{
case 0:
{
gfaFilter->SetComputationMethod(GfaFilterType::GFA_STANDARD);
newname.append("GFA");
break;
}
case 1:
{
gfaFilter->SetComputationMethod(GfaFilterType::GFA_QUANTILES_HIGH_LOW);
newname.append("01");
break;
}
case 2:
{
gfaFilter->SetComputationMethod(GfaFilterType::GFA_QUANTILE_HIGH);
newname.append("02");
break;
}
case 3:
{
gfaFilter->SetComputationMethod(GfaFilterType::GFA_MAX_ODF_VALUE);
newname.append("03");
break;
}
case 4:
{
gfaFilter->SetComputationMethod(GfaFilterType::GFA_DECONVOLUTION_COEFFS);
newname.append("04");
break;
}
case 5:
{
gfaFilter->SetComputationMethod(GfaFilterType::GFA_MIN_MAX_NORMALIZED_STANDARD);
newname.append("05");
break;
}
case 6:
{
gfaFilter->SetComputationMethod(GfaFilterType::GFA_NORMALIZED_ENTROPY);
newname.append("06");
break;
}
case 7:
{
gfaFilter->SetComputationMethod(GfaFilterType::GFA_NEMATIC_ORDER_PARAMETER);
newname.append("07");
break;
}
case 8:
{
gfaFilter->SetComputationMethod(GfaFilterType::GFA_QUANTILES_LOW_HIGH);
newname.append("08");
break;
}
case 9:
{
gfaFilter->SetComputationMethod(GfaFilterType::GFA_QUANTILE_LOW);
newname.append("09");
break;
}
case 10:
{
gfaFilter->SetComputationMethod(GfaFilterType::GFA_MIN_ODF_VALUE);
newname.append("10");
break;
}
case 11:
{
gfaFilter->SetComputationMethod(GfaFilterType::GFA_STD_BY_MAX);
newname.append("11");
break;
}
case 12:
{
p1 = m_Controls->MinAngle->text().toFloat();
p2 = m_Controls->MaxAngle->text().toFloat();
gfaFilter->SetComputationMethod(GfaFilterType::GFA_PRINCIPLE_CURVATURE);
QString paramString;
paramString = paramString.append("PC%1-%2").arg(p1).arg(p2);
newname.append(paramString.toAscii());
gfaFilter->SetParam1(p1);
gfaFilter->SetParam2(p2);
break;
}
case 13:
{
gfaFilter->SetComputationMethod(GfaFilterType::GFA_GENERALIZED_GFA);
QString paramString;
paramString = paramString.append("GFAK%1P%2").arg(p1).arg(p2);
newname.append(paramString.toAscii());
gfaFilter->SetParam1(p1);
gfaFilter->SetParam2(p2);
break;
}
default:
{
newname.append("0");
gfaFilter->SetComputationMethod(GfaFilterType::GFA_STANDARD);
}
}
gfaFilter->Update();
clock.Stop();
MBI_DEBUG << "took " << clock.GetMeanTime() << "s.";
typedef itk::Image<TOdfPixelType, 3> ImgType;
ImgType::Pointer img = ImgType::New();
img->SetSpacing( gfaFilter->GetOutput()->GetSpacing() ); // Set the image spacing
img->SetOrigin( gfaFilter->GetOutput()->GetOrigin() ); // Set the image origin
img->SetDirection( gfaFilter->GetOutput()->GetDirection() ); // Set the image direction
img->SetLargestPossibleRegion( gfaFilter->GetOutput()->GetLargestPossibleRegion());
img->SetBufferedRegion( gfaFilter->GetOutput()->GetLargestPossibleRegion() );
img->Allocate();
itk::ImageRegionIterator<ImgType> ot (img, img->GetLargestPossibleRegion() );
ot = ot.Begin();
itk::ImageRegionConstIterator<GfaFilterType::OutputImageType> it
(gfaFilter->GetOutput(), gfaFilter->GetOutput()->GetLargestPossibleRegion() );
it = it.Begin();
for (it = it.Begin(); !it.IsAtEnd(); ++it)
{
GfaFilterType::OutputImageType::PixelType val = it.Get();
ot.Set(val * m_Controls->m_ScaleImageValuesBox->value());
++ot;
}
// GFA TO DATATREE
mitk::Image::Pointer image = mitk::Image::New();
image->InitializeByItk( img.GetPointer() );
image->SetVolume( img->GetBufferPointer() );
mitk::DataNode::Pointer node=mitk::DataNode::New();
node->SetData( image );
node->SetProperty( "name", mitk::StringProperty::New(newname) );
nodes.push_back(node);
mitk::StatusBar::GetInstance()->DisplayText("Computation complete.");
}
std::vector<mitk::DataNode::Pointer>::iterator nodeIt;
for(nodeIt = nodes.begin(); nodeIt != nodes.end(); ++nodeIt)
GetDefaultDataStorage()->Add(*nodeIt);
m_MultiWidget->RequestUpdate();
}
void QmitkQBallReconstructionView::AnalyticalQBallReconstruction(
mitk::DataStorage::SetOfObjects::Pointer inImages,
int normalization)
{
try
{
itk::TimeProbe clock;
int nrFiles = inImages->size();
if (!nrFiles) return;
std::vector<float> lambdas;
float minLambda = m_Controls->m_QBallReconstructionLambdaLineEdit->text().toFloat();
lambdas.push_back(minLambda);
int nLambdas = lambdas.size();
QString status;
mitk::ProgressBar::GetInstance()->AddStepsToDo(nrFiles*nLambdas);
mitk::DataStorage::SetOfObjects::const_iterator itemiter( inImages->begin() );
mitk::DataStorage::SetOfObjects::const_iterator itemiterend( inImages->end() );
std::vector<mitk::DataNode::Pointer>* nodes
= new std::vector<mitk::DataNode::Pointer>();
while ( itemiter != itemiterend ) // for all items
{
mitk::DiffusionImage<DiffusionPixelType>* vols =
static_cast<mitk::DiffusionImage<DiffusionPixelType>*>(
(*itemiter)->GetData());
std::string nodename;
(*itemiter)->GetStringProperty("name",nodename);
itemiter++;
// QBALL RECONSTRUCTION
clock.Start();
MBI_INFO << "QBall reconstruction ";
mitk::StatusBar::GetInstance()->DisplayText(status.sprintf(
"QBall reconstruction for %s", nodename.c_str()).toAscii());
for(int i=0; i<nLambdas; i++)
{
float currentLambda = lambdas[i];
switch(m_Controls->m_QBallReconstructionMaxLLevelComboBox->currentIndex())
{
case 0:
{
TemplatedAnalyticalQBallReconstruction<2>(vols, currentLambda, nodename, nodes, normalization);
break;
}
case 1:
{
TemplatedAnalyticalQBallReconstruction<4>(vols, currentLambda, nodename, nodes, normalization);
break;
}
case 2:
{
TemplatedAnalyticalQBallReconstruction<6>(vols, currentLambda, nodename, nodes, normalization);
break;
}
case 3:
{
TemplatedAnalyticalQBallReconstruction<8>(vols, currentLambda, nodename, nodes, normalization);
break;
}
}
clock.Stop();
MBI_DEBUG << "took " << clock.GetMeanTime() << "s." ;
mitk::ProgressBar::GetInstance()->Progress();
}
}
std::vector<mitk::DataNode::Pointer>::iterator nodeIt;
for(nodeIt = nodes->begin(); nodeIt != nodes->end(); ++nodeIt)
GetDefaultDataStorage()->Add(*nodeIt);
m_MultiWidget->RequestUpdate();
mitk::StatusBar::GetInstance()->DisplayText(status.sprintf("Finished Processing %d Files", nrFiles).toAscii());
}
catch (itk::ExceptionObject &ex)
{
MBI_INFO << ex ;
return ;
}
}
void QmitkQBallReconstructionView::NumericalQBallReconstruction
(mitk::DataStorage::SetOfObjects::Pointer inImages, int normalization)
{
try
{
itk::TimeProbe clock;
int nrFiles = inImages->size();
if (!nrFiles) return;
QString status;
mitk::ProgressBar::GetInstance()->AddStepsToDo(nrFiles);
mitk::DataStorage::SetOfObjects::const_iterator itemiter( inImages->begin() );
mitk::DataStorage::SetOfObjects::const_iterator itemiterend( inImages->end() );
std::vector<mitk::DataNode::Pointer> nodes;
while ( itemiter != itemiterend ) // for all items
{
mitk::DiffusionImage<DiffusionPixelType>* vols =
static_cast<mitk::DiffusionImage<DiffusionPixelType>*>(
(*itemiter)->GetData());
std::string nodename;
(*itemiter)->GetStringProperty("name", nodename);
++itemiter;
// QBALL RECONSTRUCTION
clock.Start();
MBI_INFO << "QBall reconstruction ";
mitk::StatusBar::GetInstance()->DisplayText(status.sprintf(
"QBall reconstruction for %s", nodename.c_str()).toAscii());
typedef itk::DiffusionQballReconstructionImageFilter
<DiffusionPixelType, DiffusionPixelType, TTensorPixelType, QBALL_ODFSIZE>
QballReconstructionImageFilterType;
QballReconstructionImageFilterType::Pointer filter =
QballReconstructionImageFilterType::New();
filter->SetGradientImage( vols->GetDirections(), vols->GetVectorImage() );
filter->SetNumberOfThreads( m_Controls->m_QBallReconstructionNumberThreadsSpinbox->value() );
filter->SetBValue(vols->GetB_Value());
filter->SetThreshold( m_Controls->m_QBallReconstructionThreasholdEdit->text().toFloat() );
switch(normalization)
{
case 0:
{
filter->SetNormalizationMethod(QballReconstructionImageFilterType::QBR_STANDARD);
break;
}
case 1:
{
filter->SetNormalizationMethod(QballReconstructionImageFilterType::QBR_B_ZERO_B_VALUE);
break;
}
case 2:
{
filter->SetNormalizationMethod(QballReconstructionImageFilterType::QBR_B_ZERO);
break;
}
case 3:
{
filter->SetNormalizationMethod(QballReconstructionImageFilterType::QBR_NONE);
break;
}
default:
{
filter->SetNormalizationMethod(QballReconstructionImageFilterType::QBR_STANDARD);
}
}
filter->Update();
clock.Stop();
MBI_DEBUG << "took " << clock.GetMeanTime() << "s." ;
// ODFs TO DATATREE
mitk::QBallImage::Pointer image = mitk::QBallImage::New();
image->InitializeByItk( filter->GetOutput() );
//image->SetImportVolume( filter->GetOutput()->GetBufferPointer(), 0, 0, mitk::Image::ImportMemoryManagementType::ManageMemory );
image->SetVolume( filter->GetOutput()->GetBufferPointer() );
mitk::DataNode::Pointer node=mitk::DataNode::New();
node->SetData( image );
QString newname;
newname = newname.append(nodename.c_str());
newname = newname.append("_QN%1").arg(normalization);
SetDefaultNodeProperties(node, newname.toStdString());
nodes.push_back(node);
// B-Zero TO DATATREE
if(m_Controls->m_OutputB0Image->isChecked())
{
mitk::Image::Pointer image4 = mitk::Image::New();
image4->InitializeByItk( filter->GetBZeroImage().GetPointer() );
image4->SetVolume( filter->GetBZeroImage()->GetBufferPointer() );
mitk::DataNode::Pointer node4=mitk::DataNode::New();
node4->SetData( image4 );
node4->SetProperty( "name", mitk::StringProperty::New(
QString(nodename.c_str()).append("_b0").toStdString()) );
nodes.push_back(node4);
}
mitk::ProgressBar::GetInstance()->Progress();
}
std::vector<mitk::DataNode::Pointer>::iterator nodeIt;
for(nodeIt = nodes.begin(); nodeIt != nodes.end(); ++nodeIt)
GetDefaultDataStorage()->Add(*nodeIt);
mitk::StatusBar::GetInstance()->DisplayText(status.sprintf("Finished Processing %d Files", nrFiles).toAscii());
m_MultiWidget->RequestUpdate();
}
catch (itk::ExceptionObject &ex)
{
MBI_INFO << ex ;
return ;
}
}
