PartialVolumeAnalysisClusteringCalculator::HelperStructPerformClusteringRetval*
PartialVolumeAnalysisClusteringCalculator::PerformQuantiles(mitk::Image::ConstPointer image, const MitkHistType *histogram, double p1, double p2 ) const
{
HelperStructPerformClusteringRetval *retval =
new HelperStructPerformClusteringRetval();
retval->hist = new HistType();
retval->hist->InitByMitkHistogram(histogram);
double* q = new double[2];
q[0] = histogram->Quantile(0, p1);
q[1] = histogram->Quantile(0, p2);
mitk::Image::Pointer outImage1 = mitk::Image::New();
mitk::Image::Pointer outImage2 = mitk::Image::New();
AccessFixedDimensionByItk_3(
image.GetPointer(),
InternalGenerateQuantileImage,
3, q,
outImage1, outImage2);
retval->clusteredImage = outImage1;
retval->displayImage = outImage2;
delete[] q;
return retval;
}
void mitk::SegTool2D::WritePreviewOnWorkingImage(
Image *targetSlice, Image *sourceSlice, mitk::Image *workingImage, int paintingPixelValue, int timestep)
{
if ((!targetSlice) || (!sourceSlice))
return;
AccessFixedDimensionByItk_3(
targetSlice, InternalWritePreviewOnWorkingImage, 2, sourceSlice, workingImage, paintingPixelValue);
}
void mitk::RegionGrowingTool::OnMouseMoved(StateMachineAction*, InteractionEvent* interactionEvent )
{
// Until OnMousePressedInside() implements a behaviour, we're just returning here whenever m_PaintingPixelValue is 0, i.e. when the user clicked inside the segmentation
if (m_PaintingPixelValue == 0)
{
return;
}
mitk::InteractionPositionEvent* positionEvent = dynamic_cast<mitk::InteractionPositionEvent*>(interactionEvent);
if ( m_ReferenceSlice.IsNotNull() && positionEvent)
{
// Get geometry and indices
mitk::BaseGeometry::Pointer workingSliceGeometry;
workingSliceGeometry = m_WorkingSlice->GetTimeGeometry()->GetGeometryForTimeStep(m_LastEventSender->GetTimeStep());
itk::Index<2> indexInWorkingSlice2D;
indexInWorkingSlice2D[0] = m_SeedPoint[0];
indexInWorkingSlice2D[1] = m_SeedPoint[1];
m_ScreenYDifference += positionEvent->GetPointerPositionOnScreen()[1] - m_LastScreenPosition[1];
m_ScreenXDifference += positionEvent->GetPointerPositionOnScreen()[0] - m_LastScreenPosition[0];
m_LastScreenPosition = positionEvent->GetPointerPositionOnScreen();
// Moving the mouse up and down adjusts the width of the threshold window, moving it left and right shifts the threshold window
m_Thresholds[0] = std::min<ScalarType>(m_SeedValue, m_InitialThresholds[0] - (m_ScreenYDifference - m_ScreenXDifference) * m_MouseDistanceScaleFactor);
m_Thresholds[1] = std::max<ScalarType>(m_SeedValue, m_InitialThresholds[1] + (m_ScreenYDifference + m_ScreenXDifference) * m_MouseDistanceScaleFactor);
MITK_DEBUG << "Screen difference X: " << m_ScreenXDifference;
// Perform region growing again and show the result
mitk::Image::Pointer resultImage = mitk::Image::New();
AccessFixedDimensionByItk_3(m_ReferenceSlice, StartRegionGrowing, 2, indexInWorkingSlice2D, m_Thresholds, resultImage);
resultImage->SetGeometry(workingSliceGeometry);
// Update the contour
if (resultImage.IsNotNull() && m_ConnectedComponentValue >= 1)
{
mitk::ImageToContourModelFilter::Pointer contourExtractor = mitk::ImageToContourModelFilter::New();
contourExtractor->SetInput(resultImage);
contourExtractor->SetContourValue(m_ConnectedComponentValue - 0.5);
contourExtractor->Update();
ContourModel::Pointer resultContour = ContourModel::New();
resultContour = contourExtractor->GetOutput();
// Show contour
if (resultContour.IsNotNull())
{
ContourModel::Pointer resultContourWorld = FeedbackContourTool::BackProjectContourFrom2DSlice(workingSliceGeometry, FeedbackContourTool::ProjectContourTo2DSlice(m_WorkingSlice, resultContour));
FeedbackContourTool::SetFeedbackContour(resultContourWorld);
FeedbackContourTool::SetFeedbackContourVisible(true);
mitk::RenderingManager::GetInstance()->ForceImmediateUpdate(positionEvent->GetSender()->GetRenderWindow());
}
}
}
}
void mitk::ExtractSliceFilter2::GenerateData()
{
if (nullptr != m_Impl->InterpolateImageFunction && this->GetInput()->GetMTime() < this->GetMTime())
return;
const auto* inputImage = this->GetInput();
AccessFixedDimensionByItk_2(inputImage, CreateInterpolateImageFunction, 3, this->GetInterpolator(), m_Impl->InterpolateImageFunction);
this->AllocateOutputs();
auto outputRegion = this->GetOutput()->GetLargestPossibleRegion();
AccessFixedDimensionByItk_3(inputImage, ::GenerateData, 3, this->GetOutput(), outputRegion, m_Impl->InterpolateImageFunction);
}
double* PartialVolumeAnalysisClusteringCalculator::PerformQuantification(
mitk::Image::ConstPointer image, mitk::Image::Pointer clusteredImage, mitk::Image::Pointer mask) const
{
double *retval = new double[2];
AccessFixedDimensionByItk_3(
image.GetPointer(),
InternalQuantify,
3,
clusteredImage.GetPointer(),
retval, mask );
return retval;
}
mitk::Image::Pointer
mitk::ShapeBasedInterpolationAlgorithm::Interpolate(
Image::ConstPointer lowerSlice, unsigned int lowerSliceIndex,
Image::ConstPointer upperSlice, unsigned int upperSliceIndex,
unsigned int requestedIndex,
unsigned int /*sliceDimension*/, // commented variables are not used
Image::Pointer resultImage,
unsigned int /*timeStep*/,
Image::ConstPointer /*referenceImage*/)
{
mitk::Image::Pointer lowerDistanceImage = mitk::Image::New();
AccessFixedDimensionByItk_1(lowerSlice, ComputeDistanceMap, 2, lowerDistanceImage);
mitk::Image::Pointer upperDistanceImage = mitk::Image::New();
AccessFixedDimensionByItk_1(upperSlice, ComputeDistanceMap, 2, upperDistanceImage);
// calculate where the current slice is in comparison to the lower and upper neighboring slices
float ratio = (float)(requestedIndex - lowerSliceIndex) / (float)(upperSliceIndex - lowerSliceIndex);
AccessFixedDimensionByItk_3(resultImage, InterpolateIntermediateSlice, 2, upperDistanceImage, lowerDistanceImage, ratio);
return resultImage;
}
void mitk::CLUtil::ConnectedComponentsImage(mitk::Image::Pointer & image, mitk::Image::Pointer& mask, mitk::Image::Pointer &outimage, unsigned int& num_components)
{
AccessFixedDimensionByItk_3(image, mitk::CLUtil::itkConnectedComponentsImage,3, mask, outimage, num_components);
}
void mitk::CLUtil::DilateGrayscale(mitk::Image::Pointer & image, unsigned int radius, mitk::CLUtil::MorphologicalDimensions d, mitk::Image::Pointer & outimage)
{
AccessFixedDimensionByItk_3(image, mitk::CLUtil::itkDilateGrayscale, 3, outimage, radius, d);
}
void mitk::CLUtil::ProbabilityMap(const mitk::Image::Pointer & image , double mean, double stddev, mitk::Image::Pointer & outimage)
{
AccessFixedDimensionByItk_3(image, mitk::CLUtil::itkProbabilityMap, 3, mean, stddev, outimage);
}
void mitk::CLUtil::ClosingBinary(mitk::Image::Pointer & sourceImage, mitk::Image::Pointer& resultImage, int factor, MorphologicalDimensions d)
{
AccessFixedDimensionByItk_3(sourceImage, mitk::CLUtil::itkClosingBinary, 3, resultImage, factor, d);
}
void mitk::RegionGrowingTool::OnMousePressedOutside(StateMachineAction*, InteractionEvent* interactionEvent)
{
mitk::InteractionPositionEvent* positionEvent = dynamic_cast<mitk::InteractionPositionEvent*>(interactionEvent);
if (positionEvent)
{
// Get geometry and indices
mitk::BaseGeometry::Pointer workingSliceGeometry;
workingSliceGeometry = m_WorkingSlice->GetTimeGeometry()->GetGeometryForTimeStep(m_LastEventSender->GetTimeStep());
itk::Index<2> indexInWorkingSlice2D;
indexInWorkingSlice2D[0] = m_SeedPoint[0];
indexInWorkingSlice2D[1] = m_SeedPoint[1];
mitk::BaseGeometry::Pointer referenceSliceGeometry;
referenceSliceGeometry = m_ReferenceSlice->GetTimeGeometry()->GetGeometryForTimeStep(m_LastEventSender->GetTimeStep());
itk::Index<3> indexInReferenceSlice;
itk::Index<2> indexInReferenceSlice2D;
referenceSliceGeometry->WorldToIndex(positionEvent->GetPositionInWorld(), indexInReferenceSlice);
indexInReferenceSlice2D[0] = indexInReferenceSlice[0];
indexInReferenceSlice2D[1] = indexInReferenceSlice[1];
// Get seed neighborhood
ScalarType averageValue(0);
AccessFixedDimensionByItk_3(m_ReferenceSlice, GetNeighborhoodAverage, 2, indexInReferenceSlice2D, &averageValue, 1);
m_SeedValue = averageValue;
MITK_DEBUG << "Seed value is " << m_SeedValue;
// Get level window settings
LevelWindow lw(0, 500); // default window 0 to 500, can we do something smarter here?
m_ToolManager->GetReferenceData(0)->GetLevelWindow(lw); // will fill lw if levelwindow property is present, otherwise won't touch it.
ScalarType currentVisibleWindow = lw.GetWindow();
MITK_DEBUG << "Level window width is " << currentVisibleWindow;
m_InitialThresholds[0] = m_SeedValue - currentVisibleWindow / 20.0; // 20 is arbitrary (though works reasonably well), is there a better alternative (maybe option in preferences)?
m_InitialThresholds[1] = m_SeedValue + currentVisibleWindow / 20.0;
m_Thresholds[0] = m_InitialThresholds[0];
m_Thresholds[1] = m_InitialThresholds[1];
// Perform region growing
mitk::Image::Pointer resultImage = mitk::Image::New();
AccessFixedDimensionByItk_3(m_ReferenceSlice, StartRegionGrowing, 2, indexInWorkingSlice2D, m_Thresholds, resultImage);
resultImage->SetGeometry(workingSliceGeometry);
// Extract contour
if (resultImage.IsNotNull() && m_ConnectedComponentValue >= 1)
{
mitk::ImageToContourModelFilter::Pointer contourExtractor = mitk::ImageToContourModelFilter::New();
contourExtractor->SetInput(resultImage);
contourExtractor->SetContourValue(m_ConnectedComponentValue - 0.5);
contourExtractor->Update();
ContourModel::Pointer resultContour = ContourModel::New();
resultContour = contourExtractor->GetOutput();
// Show contour
if (resultContour.IsNotNull())
{
ContourModel::Pointer resultContourWorld = FeedbackContourTool::BackProjectContourFrom2DSlice(workingSliceGeometry, FeedbackContourTool::ProjectContourTo2DSlice(m_WorkingSlice, resultContour));
FeedbackContourTool::SetFeedbackContour(resultContourWorld);
FeedbackContourTool::SetFeedbackContourVisible(true);
mitk::RenderingManager::GetInstance()->RequestUpdate(m_LastEventSender->GetRenderWindow());
}
}
}
}
PartialVolumeAnalysisClusteringCalculator::HelperStructPerformClusteringRetval*
PartialVolumeAnalysisClusteringCalculator::PerformClustering(mitk::Image::ConstPointer image, const MitkHistType *histogram, int classIdent, HelperStructPerformClusteringRetval* precResult) const
{
HelperStructPerformClusteringRetval *retval =
new HelperStructPerformClusteringRetval();
if(precResult == 0)
{
retval->hist = new HistType();
retval->hist->InitByMitkHistogram(histogram);
ParamsType params;
params.Initialize( Cluster(*(retval->hist)) );
ClusterResultType result = CalculateCurves(params,retval->hist->xVals);
Normalize(params, &result);
retval->params = new ParamsType();
retval->params->Initialize(¶ms);
retval->result = new ClusterResultType(10);
retval->result->Initialize(&result);
}
else
{
retval->params = new ParamsType();
retval->params->Initialize(precResult->params);
retval->result = new ClusterResultType(10);
retval->result->Initialize(precResult->result);
}
VecType totalProbs = retval->result->combiVals;
VecType pvProbs = retval->result->mixedVals[0];
VecType fiberProbs;
VecType nonFiberProbs;
VecType interestingProbs;
double p_fiber;
double p_nonFiber;
double p_interesting;
// if(retval->params->means[0]<retval->params->means[1])
// {
fiberProbs = retval->result->vals[1];
nonFiberProbs = retval->result->vals[0];
p_fiber = retval->params->ps[1];
p_nonFiber = retval->params->ps[0];
// }
// else
// {
// fiberProbs = retval->result->vals[0];
// nonFiberProbs = retval->result->vals[1];
// p_fiber = retval->params->ps[0];
// p_nonFiber = retval->params->ps[1];
// }
switch(classIdent)
{
case 0:
interestingProbs = nonFiberProbs;
p_interesting = p_nonFiber;
break;
case 1:
interestingProbs = pvProbs;
p_interesting = 1 - p_fiber - p_nonFiber;
break;
case 2:
default:
interestingProbs = fiberProbs;
p_interesting = p_fiber;
break;
}
double sum = histogram->GetTotalFrequency();
// initialize two histograms for class and total probabilities
MitkHistType::MeasurementVectorType min(1);
MitkHistType::MeasurementVectorType max(1);
min.Fill(histogram->GetDimensionMins(0)[0]);
max.Fill(histogram->GetDimensionMaxs(0)[histogram->GetDimensionMaxs(0).size()-1]);
MitkHistType::Pointer interestingHist = MitkHistType::New();
interestingHist->SetMeasurementVectorSize(1);
interestingHist->Initialize(histogram->GetSize(),min,max);
MitkHistType::Iterator newIt = interestingHist->Begin();
MitkHistType::Iterator newEnd = interestingHist->End();
MitkHistType::Pointer totalHist = MitkHistType::New();
totalHist->SetMeasurementVectorSize(1);
totalHist->Initialize(histogram->GetSize(),min,max);
MitkHistType::Iterator totalIt = totalHist->Begin();
int i=0;
while (newIt != newEnd)
{
newIt.SetFrequency(interestingProbs(i)*sum);
totalIt.SetFrequency(totalProbs(i)*sum);
++newIt;
++totalIt;
++i;
}
mitk::Image::Pointer outImage1 = mitk::Image::New();
mitk::Image::Pointer outImage2 = mitk::Image::New();
HelperStructClusteringResults clusterResults;
clusterResults.interestingHist = interestingHist;
clusterResults.totalHist = totalHist;
clusterResults.p_interesting = p_interesting;
AccessFixedDimensionByItk_3(
image.GetPointer(),
InternalGenerateProbabilityImage,
3,
clusterResults,
outImage1, outImage2);
retval->clusteredImage = outImage1;
retval->displayImage = outImage2;
return retval;
}
