Module LesionSizingToolkit

Collaboration diagram for Module LesionSizingToolkit:

Classes
class	itk::BinaryThresholdFeatureGenerator< NDimension >
class	itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >
class	itk::CannyEdgesDistanceAdvectionFieldFeatureGenerator< NDimension >
class	itk::CannyEdgesDistanceFeatureGenerator< NDimension >
class	itk::CannyEdgesFeatureGenerator< NDimension >
class	itk::ConfidenceConnectedSegmentationModule< NDimension >
class	itk::ConnectedThresholdSegmentationModule< NDimension >
class	itk::DescoteauxSheetnessFeatureGenerator< NDimension >
class	itk::DescoteauxSheetnessImageFilter< TInputImage, TOutputImage >
class	itk::FastMarchingAndGeodesicActiveContourLevelSetSegmentationModule< NDimension >
class	itk::FastMarchingAndShapeDetectionLevelSetSegmentationModule< NDimension >
class	itk::FastMarchingSegmentationModule< NDimension >
class	itk::FeatureAggregator< NDimension >
class	itk::FeatureGenerator< NDimension >
class	itk::FrangiTubularnessFeatureGenerator< NDimension >
class	itk::FrangiTubularnessImageFilter< TInputImage, TOutputImage >
class	itk::GeodesicActiveContourLevelSetSegmentationModule< NDimension >
class	itk::GradientMagnitudeSigmoidFeatureGenerator< NDimension >
class	itk::GrayscaleImageSegmentationVolumeEstimator< NDimension >
class	itk::IsotropicResampler< NDimension >
class	itk::IsotropicResamplerImageFilter< TInputImage, TOutputImage >
class	itk::LandmarksReader< NDimension >
class	itk::LesionSegmentationImageFilter8< TInputImage, TOutputImage >
class	itk::LesionSegmentationMethod< NDimension >
class	itk::LocalStructureImageFilter< TInputImage, TOutputImage >
class	itk::LungWallFeatureGenerator< NDimension >
class	itk::MaximumFeatureAggregator< NDimension >
class	itk::MinimumFeatureAggregator< NDimension >
class	itk::MorphologicalOpenningFeatureGenerator< NDimension >
class	itk::RegionCompetitionImageFilter< TInputImage, TOutputImage >
class	itk::RegionGrowingSegmentationModule< NDimension >
class	itk::SatoLocalStructureFeatureGenerator< NDimension >
class	itk::SatoVesselnessFeatureGenerator< NDimension >
class	itk::SatoVesselnessSigmoidFeatureGenerator< NDimension >
class	itk::SegmentationModule< NDimension >
class	itk::SegmentationVolumeEstimator< NDimension >
class	itk::ShapeDetectionLevelSetSegmentationModule< NDimension >
class	itk::SigmoidFeatureGenerator< NDimension >
class	itk::SinglePhaseLevelSetSegmentationModule< NDimension >
class	itk::VesselEnhancingDiffusion3DImageFilter< PixelType, NDimension >
class	itk::VotingBinaryHoleFillFloodingImageFilter< TInputImage, TOutputImage >
class	itk::WeightedSumFeatureAggregator< NDimension >

Detailed Description

This module contains a collection of classes for performing measurement of lesions. Its clinical motivation is the study of cancerous lung lesions. However, the functionalities developed here are usable in a wider range of applications. The Lesion Sizint Toolkit is build upon ITK and adds to it specific classes for computing image features that are then combined into a detection and measurement layer.

Dependencies:

• Module ITKIOGDCM
• Module ITKIOMeta
• Module ITKIOSpatialObjects
• Module ITKImageFeature
• Module ITKLabelVoting
• Module ITKLevelSets
• Module ITKMathematicalMorphology
• Module ITKRegionGrowing
• Module ITKStatistics
• Module ITKTestKernel
• Module ITKVtkGlue