SetUpperThresholdForTrachea(-900);
SetMultiplierForTrachea(5);
SetThresholdStepSizeForTrachea(64);
+ SetNumberOfSlicesToSkipBeforeSearchingSeed(0);
// Step 3 default values
SetNumberOfHistogramBins(500);
SetUpperThreshold_GGO(mArgsInfo);
SetLowerThreshold_GGO(mArgsInfo);
+ SetNumberOfSlicesToSkipBeforeSearchingSeed_GGO(mArgsInfo);
SetLabelizeParameters1_GGO(mArgsInfo);
if (!mArgsInfo.remove1_given) {
GetLabelizeParameters1()->AddLabelToRemove(2);
//--------------------------------------------------------------------
//--------------------------------------------------------------------
- StartNewStepOrStop("Find the trachea");
- if (m_Seeds.size() == 0) { // try to find seed
- // Search seed (parameters = UpperThresholdForTrachea)
- static const unsigned int Dim = ImageType::ImageDimension;
- typename InternalImageType::RegionType sliceRegion = working_input->GetLargestPossibleRegion();
- typename InternalImageType::SizeType sliceRegionSize = sliceRegion.GetSize();
- typename InternalImageType::IndexType sliceRegionIndex = sliceRegion.GetIndex();
- sliceRegionIndex[Dim-1]=sliceRegionSize[Dim-1]-5;
- sliceRegionSize[Dim-1]=5;
- sliceRegion.SetSize(sliceRegionSize);
- sliceRegion.SetIndex(sliceRegionIndex);
- typedef itk::ImageRegionConstIterator<ImageType> IteratorType;
- IteratorType it(working_input, sliceRegion);
- it.GoToBegin();
- while (!it.IsAtEnd()) {
- if(it.Get() < GetUpperThresholdForTrachea() ) {
- AddSeed(it.GetIndex());
- }
- ++it;
- }
- }
-
- if (m_Seeds.size() != 0) {
- // Explosion controlled region growing
- typedef clitk::ExplosionControlledThresholdConnectedImageFilter<ImageType, InternalImageType> ImageFilterType;
- typename ImageFilterType::Pointer f= ImageFilterType::New();
- f->SetInput(working_input);
- f->SetVerbose(false);
- f->SetLower(-2000);
- f->SetUpper(GetUpperThresholdForTrachea());
- f->SetMinimumLowerThreshold(-2000);
- f->SetMaximumUpperThreshold(0);
- f->SetAdaptLowerBorder(false);
- f->SetAdaptUpperBorder(true);
- f->SetMinimumSize(5000);
- f->SetReplaceValue(1);
- f->SetMultiplier(GetMultiplierForTrachea());
- f->SetThresholdStepSize(GetThresholdStepSizeForTrachea());
- f->SetMinimumThresholdStepSize(1);
- for(unsigned int i=0; i<m_Seeds.size();i++) {
- f->AddSeed(m_Seeds[i]);
- }
- f->Update();
- trachea_tmp = f->GetOutput();
- // Set output
- StopCurrentStep<InternalImageType>(trachea_tmp);
- }
- else { // Trachea not found
- this->SetWarning("* WARNING * No seed found for trachea.");
- StopCurrentStep();
- }
+ StartNewStepOrStop("Search for the trachea");
+ SearchForTrachea();
//--------------------------------------------------------------------
//--------------------------------------------------------------------
working_image = SetBackground<InternalImageType, InternalImageType>
(working_image, trachea_tmp, 1, -1);
- // Dilate the trachea
+ // Dilate the trachea
static const unsigned int Dim = ImageType::ImageDimension;
typedef itk::BinaryBallStructuringElement<InternalPixelType, Dim> KernelType;
KernelType structuringElement;
working_image = decomposeAndReconstructFilter->GetOutput();
}
- // Retain labels (lungs)
+ // Retain labels ('1' is largset lung, so right. '2' is left)
typedef itk::ThresholdImageFilter<InternalImageType> ThresholdImageFilterType;
typename ThresholdImageFilterType::Pointer thresholdFilter = ThresholdImageFilterType::New();
thresholdFilter->SetInput(working_image);
// Try to extract bifurcation in the trachea (bronchi)
// STILL EXPERIMENTAL
- if (GetFindBronchialBifurcations()) {
- StartNewStepOrStop("Find bronchial bifurcations");
- // Step 1 : extract skeleton
- // Define the thinning filter
- typedef itk::BinaryThinningImageFilter3D<MaskImageType, MaskImageType> ThinningFilterType;
- typename ThinningFilterType::Pointer thinningFilter = ThinningFilterType::New();
- thinningFilter->SetInput(trachea);
- thinningFilter->Update();
- typename MaskImageType::Pointer skeleton = thinningFilter->GetOutput();
- writeImage<MaskImageType>(skeleton, "skeleton.mhd");
-
- // Step 2 : tracking
- DD("tracking");
+ if (m_Seeds.size() != 0) { // if ==0 ->no trachea found
+
+ if (GetFindBronchialBifurcations()) {
+ StartNewStepOrStop("Find bronchial bifurcations");
+ // Step 1 : extract skeleton
+ // Define the thinning filter
+ typedef itk::BinaryThinningImageFilter3D<MaskImageType, MaskImageType> ThinningFilterType;
+ typename ThinningFilterType::Pointer thinningFilter = ThinningFilterType::New();
+ thinningFilter->SetInput(trachea);
+ thinningFilter->Update();
+ typename MaskImageType::Pointer skeleton = thinningFilter->GetOutput();
+ writeImage<MaskImageType>(skeleton, "skeleton.mhd");
+
+ // Step 2 : tracking
+ DD("tracking");
- // 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()) {
- this->SetLastError("ERROR: first point in the skeleton not found ! Abort");
- return;
- }
- DD(skeleton->GetLargestPossibleRegion().GetIndex());
- typename MaskImageType::IndexType index = it.GetIndex();
- DD(index);
+ // 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()) {
+ this->SetLastError("ERROR: first point in the skeleton not found ! Abort");
+ return;
+ }
+ DD(skeleton->GetLargestPossibleRegion().GetIndex());
+ typename MaskImageType::IndexType index = it.GetIndex();
+ DD(index);
- // Step 2.2 : initialize neighborhooditerator
- typedef itk::NeighborhoodIterator<MaskImageType> NeighborhoodIteratorType;
- typename NeighborhoodIteratorType::SizeType radius;
- radius.Fill(1);
- NeighborhoodIteratorType nit(radius, skeleton, skeleton->GetLargestPossibleRegion());
- DD(nit.GetSize());
- DD(nit.Size());
+ // Step 2.2 : initialize neighborhooditerator
+ typedef itk::NeighborhoodIterator<MaskImageType> NeighborhoodIteratorType;
+ typename NeighborhoodIteratorType::SizeType radius;
+ radius.Fill(1);
+ NeighborhoodIteratorType nit(radius, skeleton, skeleton->GetLargestPossibleRegion());
+ DD(nit.GetSize());
+ DD(nit.Size());
- // Find first label number (must be different from BG and FG)
- typename MaskImageType::PixelType label = GetForegroundValue()+1;
- while ((label == GetBackgroundValue()) || (label == GetForegroundValue())) { label++; }
- DD(label);
-
- // Track from the first point
- std::vector<BifurcationType> listOfBifurcations;
- TrackFromThisIndex(listOfBifurcations, skeleton, index, label);
- DD("end track");
- DD(listOfBifurcations.size());
- writeImage<MaskImageType>(skeleton, "skeleton2.mhd");
-
- for(unsigned int i=0; i<listOfBifurcations.size(); i++) {
- typename MaskImageType::PointType p;
- skeleton->TransformIndexToPhysicalPoint(listOfBifurcations[i].index, p);
- DD(p);
- }
+ // Find first label number (must be different from BG and FG)
+ typename MaskImageType::PixelType label = GetForegroundValue()+1;
+ while ((label == GetBackgroundValue()) || (label == GetForegroundValue())) { label++; }
+ DD(label);
+
+ // Track from the first point
+ std::vector<BifurcationType> listOfBifurcations;
+ TrackFromThisIndex(listOfBifurcations, skeleton, index, label);
+ DD("end track");
+ DD(listOfBifurcations.size());
+ writeImage<MaskImageType>(skeleton, "skeleton2.mhd");
+
+ for(unsigned int i=0; i<listOfBifurcations.size(); i++) {
+ typename MaskImageType::PointType p;
+ skeleton->TransformIndexToPhysicalPoint(listOfBifurcations[i].index, p);
+ DD(p);
+ }
+ }
}
}
//--------------------------------------------------------------------
template <class ImageType, class MaskImageType>
void
clitk::ExtractLungFilter<ImageType, MaskImageType>::
-GenerateData() {
+GenerateData()
+{
// Do not put some "startnewstep" here, because the object if
// modified and the filter's pipeline it do two times. But it is
// required to quit if MustStop was set before.
TrackFromThisIndex(std::vector<BifurcationType> & listOfBifurcations,
MaskImagePointer skeleton,
MaskImageIndexType index,
- MaskImagePixelType label) {
+ MaskImagePixelType label)
+{
DD("TrackFromThisIndex");
DD(index);
DD((int)label);
}
//--------------------------------------------------------------------
+
+//--------------------------------------------------------------------
+template <class ImageType, class MaskImageType>
+bool
+clitk::ExtractLungFilter<ImageType, MaskImageType>::
+SearchForTracheaSeed(int skip)
+{
+ if (m_Seeds.size() == 0) { // try to find seed (if not zero, it is given by user)
+ // Restart the search until a seed is found, skipping more and more slices
+ bool stop = false;
+ while (!stop) {
+ // Search seed (parameters = UpperThresholdForTrachea)
+ static const unsigned int Dim = ImageType::ImageDimension;
+ typename InternalImageType::RegionType sliceRegion = working_input->GetLargestPossibleRegion();
+ typename InternalImageType::SizeType sliceRegionSize = sliceRegion.GetSize();
+ typename InternalImageType::IndexType sliceRegionIndex = sliceRegion.GetIndex();
+ sliceRegionIndex[Dim-1]=sliceRegionSize[Dim-1]-skip-5;
+ sliceRegionSize[Dim-1]=5;
+ sliceRegion.SetSize(sliceRegionSize);
+ sliceRegion.SetIndex(sliceRegionIndex);
+ typedef itk::ImageRegionConstIterator<ImageType> IteratorType;
+ IteratorType it(working_input, sliceRegion);
+ it.GoToBegin();
+ while (!it.IsAtEnd()) {
+ if(it.Get() < GetUpperThresholdForTrachea() ) {
+ AddSeed(it.GetIndex());
+ // DD(it.GetIndex());
+ }
+ ++it;
+ }
+
+ // if we do not found : restart
+ stop = (m_Seeds.size() != 0);
+ if (!stop) {
+ if (GetVerboseStep()) {
+ std::cout << "\t No seed found this time. I skip some slices and restart." << std::endl;
+ }
+ if (skip > 0.5 * working_input->GetLargestPossibleRegion().GetSize()[2]) {
+ // we want to skip more than a half of the image, it is probably a bug
+ std::cerr << "Number of slices to skip to find trachea to high = " << skip << std::endl;
+ stop = true;
+ }
+ skip += 5;
+ }
+ }
+ }
+ return (m_Seeds.size() != 0);
+}
+//--------------------------------------------------------------------
+
+//--------------------------------------------------------------------
+template <class ImageType, class MaskImageType>
+void
+clitk::ExtractLungFilter<ImageType, MaskImageType>::
+TracheaRegionGrowing()
+{
+ // Explosion controlled region growing
+ typedef clitk::ExplosionControlledThresholdConnectedImageFilter<ImageType, InternalImageType> ImageFilterType;
+ typename ImageFilterType::Pointer f= ImageFilterType::New();
+ f->SetInput(working_input);
+ f->SetVerbose(false);
+ f->SetLower(-2000);
+ f->SetUpper(GetUpperThresholdForTrachea());
+ f->SetMinimumLowerThreshold(-2000);
+ f->SetMaximumUpperThreshold(0);
+ f->SetAdaptLowerBorder(false);
+ f->SetAdaptUpperBorder(true);
+ f->SetMinimumSize(5000);
+ f->SetReplaceValue(1);
+ f->SetMultiplier(GetMultiplierForTrachea());
+ f->SetThresholdStepSize(GetThresholdStepSizeForTrachea());
+ f->SetMinimumThresholdStepSize(1);
+ for(unsigned int i=0; i<m_Seeds.size();i++) {
+ f->AddSeed(m_Seeds[i]);
+ // DD(m_Seeds[i]);
+ }
+ f->Update();
+
+ // take first (main) connected component
+ writeImage<InternalImageType>(f->GetOutput(), "t1.mhd");
+ trachea_tmp = Labelize<InternalImageType>(f->GetOutput(),
+ GetBackgroundValue(),
+ true,
+ GetMinimalComponentSize());
+ writeImage<InternalImageType>(trachea_tmp, "t2.mhd");
+ trachea_tmp = KeepLabels<InternalImageType>(trachea_tmp,
+ GetBackgroundValue(),
+ GetForegroundValue(),
+ 1, 1, false);
+ writeImage<InternalImageType>(trachea_tmp, "t3.mhd");
+}
+//--------------------------------------------------------------------
+
+
+//--------------------------------------------------------------------
+template <class ImageType, class MaskImageType>
+double
+clitk::ExtractLungFilter<ImageType, MaskImageType>::
+ComputeTracheaVolume()
+{
+ typedef itk::ImageRegionConstIterator<InternalImageType> IteratorType;
+ IteratorType iter(trachea_tmp, trachea_tmp->GetLargestPossibleRegion());
+ iter.GoToBegin();
+ double volume = 0.0;
+ while (!iter.IsAtEnd()) {
+ if (iter.Get() == this->GetForegroundValue()) volume++;
+ ++iter;
+ }
+
+ double voxelsize = trachea_tmp->GetSpacing()[0]*trachea_tmp->GetSpacing()[1]*trachea_tmp->GetSpacing()[2];
+ return volume*voxelsize;
+}
+//--------------------------------------------------------------------
+
+
+//--------------------------------------------------------------------
+template <class ImageType, class MaskImageType>
+void
+clitk::ExtractLungFilter<ImageType, MaskImageType>::
+SearchForTrachea()
+{
+ // Search for seed among n slices, skip some slices before starting
+ // if not found -> skip more and restart
+
+ // when seed found : perform region growing
+ // compute trachea volume
+ // if volume not plausible -> skip more slices and restart
+
+ bool stop = false;
+ double volume = 0.0;
+ int skip = GetNumberOfSlicesToSkipBeforeSearchingSeed();
+ while (!stop) {
+ stop = SearchForTracheaSeed(skip);
+ if (stop) {
+ TracheaRegionGrowing();
+ volume = ComputeTracheaVolume(); // assume mm3
+ if ((volume > 10000) && (volume < 55000 )) { // it is ok
+ // Typical volume 22.59 cm 3 (± 7.69 cm 3 ) [ Leader 2004 ]
+ if (GetVerboseStep()) {
+ std::cout << "\t Found trachea with volume " << volume << " cc." << std::endl;
+ }
+ stop = true;
+ }
+ else {
+ if (GetVerboseStep()) {
+ std::cout << "\t The volume of the trachea (" << volume
+ << " cc) seems not correct. I skip some slices (" << skip << ") and restart to find seeds."
+ << std::endl;
+ }
+ skip += 5;
+ stop = false;
+ // empty the list of seed
+ m_Seeds.clear();
+ }
+ }
+ }
+
+ if (volume != 0.0) {
+ // Set output
+ StopCurrentStep<InternalImageType>(trachea_tmp);
+ }
+ else { // Trachea not found
+ this->SetWarning("* WARNING * No seed found for trachea.");
+ StopCurrentStep();
+ }
+}
+//--------------------------------------------------------------------
+
#endif //#define CLITKBOOLEANOPERATORLABELIMAGEFILTER_TXX
git://git.creatis.insa-lyon.fr / clitk.git / blobdiff