#include "clitkSetBackgroundImageFilter.h"
#include "clitkSegmentationUtils.h"
#include "clitkAutoCropFilter.h"
-#include "clitkExtractSliceFilter.h"
// itk
#include "itkBinaryThresholdImageFilter.h"
#include "itkOtsuThresholdImageFilter.h"
#include "itkBinaryThinningImageFilter3D.h"
#include "itkImageIteratorWithIndex.h"
+#include "itkBinaryMorphologicalOpeningImageFilter.h"
+#include "itkBinaryMorphologicalClosingImageFilter.h"
//--------------------------------------------------------------------
template <class ImageType, class MaskImageType>
clitk::ExtractLungFilter<ImageType, MaskImageType>::
ExtractLungFilter():
clitk::FilterBase(),
- clitk::FilterWithAnatomicalFeatureDatabaseManagement(),
itk::ImageToImageFilter<ImageType, MaskImageType>()
{
SetNumberOfSteps(10);
p3->UseLastKeepOff();
SetLabelizeParameters3(p3);
- // Step 5 : find bronchial bifurcations
- FindBronchialBifurcationsOn();
+ // Step 5
+ FinalOpenCloseOff();
+ SetFinalOpenCloseRadius(1);
}
//--------------------------------------------------------------------
SetRadiusForTrachea_GGO(mArgsInfo);
SetLabelizeParameters3_GGO(mArgsInfo);
- SetAFDBFilename_GGO(mArgsInfo);
+ SetFinalOpenCloseRadius_GGO(mArgsInfo);
+ SetFinalOpenClose_GGO(mArgsInfo);
}
//--------------------------------------------------------------------
GenerateOutputInformation()
{
Superclass::GenerateOutputInformation();
- //this->GetOutput(0)->SetRequestedRegion(this->GetOutput(0)->GetLargestPossibleRegion());
// Get input pointers
patient = dynamic_cast<const MaskImageType*>(itk::ProcessObject::GetInput(1));
working_image = cropFilter2->GetOutput();
StopCurrentStep<InternalImageType>(working_image);
+ //--------------------------------------------------------------------
+ //--------------------------------------------------------------------
+ // Final OpenClose
+ if (GetFinalOpenClose()) {
+ StartNewStep("Open/Close");
+
+ // Structuring element
+ typedef itk::BinaryBallStructuringElement<InternalPixelType, ImageDimension> KernelType;
+ KernelType structuringElement;
+ structuringElement.SetRadius(GetFinalOpenCloseRadius());
+ structuringElement.CreateStructuringElement();
+
+ // Open
+ typedef itk::BinaryMorphologicalOpeningImageFilter<InternalImageType, InternalImageType, KernelType> OpenFilterType;
+ typename OpenFilterType::Pointer openFilter = OpenFilterType::New();
+ openFilter->SetInput(working_image);
+ openFilter->SetBackgroundValue(GetBackgroundValue());
+ openFilter->SetForegroundValue(GetForegroundValue());
+ openFilter->SetKernel(structuringElement);
+
+ // Close
+ typedef itk::BinaryMorphologicalClosingImageFilter<InternalImageType, InternalImageType, KernelType> CloseFilterType;
+ typename CloseFilterType::Pointer closeFilter = CloseFilterType::New();
+ closeFilter->SetInput(openFilter->GetOutput());
+ closeFilter->SetSafeBorder(true);
+ closeFilter->SetForegroundValue(GetForegroundValue());
+ closeFilter->SetKernel(structuringElement);
+ closeFilter->Update();
+ working_image = closeFilter->GetOutput();
+ }
+
//--------------------------------------------------------------------
//--------------------------------------------------------------------
StartNewStep("Separate Left/Right lungs");
// Update output info
this->GetOutput(0)->SetRegions(output->GetLargestPossibleRegion());
- // Try to extract bifurcation in the trachea (bronchi)
- if (m_Seeds.size() != 0) { // if ==0 ->no trachea found
-
- if (GetFindBronchialBifurcations()) {
- StartNewStep("Find bronchial bifurcations");
- // Step 1 : extract skeleton
- typedef itk::BinaryThinningImageFilter3D<MaskImageType, MaskImageType> ThinningFilterType;
- typename ThinningFilterType::Pointer thinningFilter = ThinningFilterType::New();
- thinningFilter->SetInput(trachea);
- thinningFilter->Update();
- typename MaskImageType::Pointer skeleton = thinningFilter->GetOutput();
-
- // Step 2.1 : find first point for tracking
- typedef itk::ImageRegionConstIteratorWithIndex<MaskImageType> IteratorType;
- IteratorType it(skeleton, skeleton->GetLargestPossibleRegion());
- it.GoToReverseBegin();
- while ((!it.IsAtEnd()) && (it.Get() == GetBackgroundValue())) {
- --it;
- }
- if (it.IsAtEnd()) {
- clitkExceptionMacro("first point in the trachea skeleton not found.");
- }
- typename MaskImageType::IndexType index = it.GetIndex();
-
- // Step 2.2 : initialize neighborhooditerator
- typedef itk::NeighborhoodIterator<MaskImageType> NeighborhoodIteratorType;
- typename NeighborhoodIteratorType::SizeType radius;
- radius.Fill(1);
- NeighborhoodIteratorType nit(radius, skeleton, skeleton->GetLargestPossibleRegion());
-
- // Find first label number (must be different from BG and FG)
- typename MaskImageType::PixelType label = GetForegroundValue()+1;
- while ((label == GetBackgroundValue()) || (label == GetForegroundValue())) { label++; }
-
- // Track from the first point
- std::vector<BifurcationType> listOfBifurcations;
- m_SkeletonTree.set_head(index);
- TrackFromThisIndex(listOfBifurcations, skeleton, index, label, m_SkeletonTree.begin());
- DD("end track");
- DD(listOfBifurcations.size());
- DD(m_SkeletonTree.size());
-
- for(unsigned int i=0; i<listOfBifurcations.size(); i++) {
- skeleton->TransformIndexToPhysicalPoint(listOfBifurcations[i].index,
- listOfBifurcations[i].point);
- }
- // Search for the first slice that separate the bronchus (carena)
- typedef clitk::ExtractSliceFilter<MaskImageType> ExtractSliceFilterType;
- typename ExtractSliceFilterType::Pointer extractSliceFilter = ExtractSliceFilterType::New();
- extractSliceFilter->SetInput(trachea);
- extractSliceFilter->SetDirection(2);
- extractSliceFilter->Update();
- typedef typename ExtractSliceFilterType::SliceType SliceType;
- std::vector<typename SliceType::Pointer> mInputSlices;
- extractSliceFilter->GetOutputSlices(mInputSlices);
-
- bool stop = false;
- DD(listOfBifurcations[0].index);
- DD(listOfBifurcations[1].index);
- int slice_index = listOfBifurcations[0].index[2]; // first slice from carena in skeleton
- int i=0;
- TreeIterator firstIter = m_SkeletonTree.child(listOfBifurcations[1].treeIter, 0);
- TreeIterator secondIter = m_SkeletonTree.child(listOfBifurcations[1].treeIter, 1);
- typename SliceType::IndexType in1;
- typename SliceType::IndexType in2;
- while (!stop) {
- DD(slice_index);
-
- // Labelize the current slice
- typename SliceType::Pointer temp = Labelize<SliceType>(mInputSlices[slice_index],
- GetBackgroundValue(),
- true,
- GetMinimalComponentSize());
- // Check the value of the two skeleton points;
- in1[0] = (*firstIter)[0];
- in1[1] = (*firstIter)[1];
- typename SliceType::PixelType v1 = temp->GetPixel(in1);
- DD(in1);
- DD((int)v1);
- in2[0] = (*secondIter)[0];
- in2[1] = (*secondIter)[1];
- typename SliceType::PixelType v2 = temp->GetPixel(in2);
- DD(in2);
- DD((int)v2);
-
- // TODO IF NOT FOUND ????
-
- if (v1 != v2) {
- stop = true;
- }
- else {
- i++;
- --slice_index;
- ++firstIter;
- ++secondIter;
- }
- }
- MaskImageIndexType carena_index;
- carena_index[0] = lrint(in2[0] + in1[0])/2.0;
- carena_index[1] = lrint(in2[1] + in1[1])/2.0;
- carena_index[2] = slice_index;
- MaskImagePointType carena_position;
- DD(carena_index);
- skeleton->TransformIndexToPhysicalPoint(carena_index,
- carena_position);
- DD(carena_position);
-
- // Set and save Carina position
- StartNewStep("Save carina position");
- // Try to load the DB
- try {
- LoadAFDB();
- } catch (clitk::ExceptionObject e) {
- // Do nothing if not found, it will be used anyway to write the result
- }
- GetAFDB()->SetPoint3D("Carena", carena_position);
- }
- }
}
//--------------------------------------------------------------------
clitk::ExtractLungFilter<ImageType, MaskImageType>::
GenerateData()
{
- // If everything goes well, set the output
+ // Set the output
this->GraftOutput(output); // not SetNthOutput
}
//--------------------------------------------------------------------
-//--------------------------------------------------------------------
-template <class ImageType, class MaskImageType>
-void
-clitk::ExtractLungFilter<ImageType, MaskImageType>::
-TrackFromThisIndex(std::vector<BifurcationType> & listOfBifurcations,
- MaskImagePointer skeleton,
- MaskImageIndexType index,
- MaskImagePixelType label,
- TreeIterator currentNode)
-{
- // Create NeighborhoodIterator
- typedef itk::NeighborhoodIterator<MaskImageType> NeighborhoodIteratorType;
- typename NeighborhoodIteratorType::SizeType radius;
- radius.Fill(1);
- NeighborhoodIteratorType nit(radius, skeleton, skeleton->GetLargestPossibleRegion());
-
- // Track
- std::vector<typename NeighborhoodIteratorType::IndexType> listOfTrackedPoint;
- bool stop = false;
- while (!stop) {
- nit.SetLocation(index);
- nit.SetCenterPixel(label);
- listOfTrackedPoint.clear();
- for(unsigned int i=0; i<nit.Size(); i++) {
- if (i != nit.GetCenterNeighborhoodIndex ()) { // Do not observe the current point
- if (nit.GetPixel(i) == GetForegroundValue()) { // if this is foreground, we continue the tracking
- listOfTrackedPoint.push_back(nit.GetIndex(i));
- }
- }
- }
- if (listOfTrackedPoint.size() == 1) {
- // Add this point to the current path
- currentNode = m_SkeletonTree.append_child(currentNode, listOfTrackedPoint[0]);
- index = listOfTrackedPoint[0];
- }
- else {
- if (listOfTrackedPoint.size() == 2) {
- // m_SkeletonTree->Add(listOfTrackedPoint[0], index); // the parent is 'index'
- // m_SkeletonTree->Add(listOfTrackedPoint[1], index); // the parent is 'index'
- BifurcationType bif(index, label, label+1, label+2);
- bif.treeIter = currentNode;
- listOfBifurcations.push_back(bif);
- TreeIterator firstNode = m_SkeletonTree.append_child(currentNode, listOfTrackedPoint[0]);
- TreeIterator secondNode = m_SkeletonTree.append_child(currentNode, listOfTrackedPoint[1]);
- TrackFromThisIndex(listOfBifurcations, skeleton, listOfTrackedPoint[0], label+1, firstNode);
- TrackFromThisIndex(listOfBifurcations, skeleton, listOfTrackedPoint[1], label+2, secondNode);
- }
- else {
- if (listOfTrackedPoint.size() > 2) {
- clitkExceptionMacro("error while tracking trachea bifurcation. Too much bifurcation points ... ?");
- }
- // Else this it the end of the tracking
- }
- stop = true;
- }
- }
-}
-//--------------------------------------------------------------------
-
-
//--------------------------------------------------------------------
template <class ImageType, class MaskImageType>
bool
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