► C AffineTransform C itk::GPUAffineTransform< TScalarType, NDimensions, TParentTransform > GPU version of AffineTransform ► C BSplineDecompositionImageFilter ► C itk::GPUImageToImageFilter< TInputImage, TOutputImage, BSplineDecompositionImageFilter< TInputImage, TOutputImage > > C itk::GPUBSplineDecompositionImageFilter< TInputImage, TOutputImage > GPU version of BSplineDecompositionImageFilter ► C BSplineInterpolateImageFunction C itk::GPUInterpolateImageFunction< TInputImage, float, BSplineInterpolateImageFunction< TInputImage, float, float > > ► C BSplineInterpolationWeightFunction ► C itk::RecursiveBSplineInterpolationWeightFunction< TCoordRep, VSpaceDimension, VSplineOrder > Returns the weights over the support region used for B-spline interpolation/reconstruction C elastix::DefaultConstruct< itk::RecursiveBSplineInterpolationWeightFunction > ► C BSplineTransform C itk::GPUBSplineTransform< TScalarType, NDimensions, VSplineOrder, TParentTransform > GPU version of BSplineTransform ► C CastImageFilter C itk::GPUImageToImageFilter< TInputImage, TOutputImage, CastImageFilter< TInputImage, TOutputImage > > ► C CompositeTransform C itk::GPUCompositeTransform< TScalarType, NDimensions, TParentTransform > GPU version of CompositeTransform C DistancePreservingRigidityPenalty A penalty term designed to preserve inter-voxel distances within rigid body regions C elastix::AdaptiveStochasticLBFGS< TElastix >::MultiThreaderParameterType C elastix::AdaptiveStochasticLBFGS< TElastix >::SettingsType C elastix::AdaptiveStochasticVarianceReducedGradient< TElastix >::MultiThreaderParameterType C elastix::AdaptiveStochasticVarianceReducedGradient< TElastix >::SettingsType ► C elastix::BaseComponent Class that all elastix components should inherit from ► C elastix::BaseComponentSE< TElastix > The BaseComponentSE class is a base class for elastix components that provides some basic functionality ► C elastix::FixedImagePyramidBase< TElastix > This class is the elastix base class for all FixedImagePyramids ► C elastix::FixedGenericPyramid< TElastix > A pyramid based on the itk::GenericMultiResolutionPyramidImageFilter C elastix::OpenCLFixedGenericPyramid< TElastix > A pyramid based on the itk::GenericMultiResolutionPyramidImageFilter . The parameters used in this class are: C elastix::FixedRecursivePyramid< TElastix > A pyramid based on the itk::RecursiveMultiResolutionPyramidImageFilter C elastix::FixedShrinkingPyramid< TElastix > A pyramid based on the itk::MultiResolutionShrinkPyramidImageFilter C elastix::FixedSmoothingPyramid< TElastix > A pyramid based on the itk::MultiResolutionGaussianSmoothingPyramidImageFilter C elastix::ImageSamplerBase< TElastix > This class is the elastix base class for all ImageSamplers ► C elastix::InterpolatorBase< TElastix > This class is the elastix base class for all Interpolators C elastix::BSplineInterpolator< TElastix > An interpolator based on the itkBSplineInterpolateImageFunction C elastix::BSplineInterpolatorFloat< TElastix > An interpolator based on the itk::BSplineInterpolateImageFunction C elastix::LinearInterpolator< TElastix > An interpolator based on the itk::AdvancedLinearInterpolateImageFunction C elastix::NearestNeighborInterpolator< TElastix > An interpolator based on the itkNearestNeighborInterpolateImageFunction C elastix::RayCastInterpolator< TElastix > An interpolator based on the itkAdvancedRayCastInterpolateImageFunction C elastix::ReducedDimensionBSplineInterpolator< TElastix > An interpolator based on the itkReducedDimensionBSplineInterpolateImageFunction ► C elastix::MetricBase< TElastix > This class is the elastix base class for all Metrics C elastix::AdvancedKappaStatisticMetric< TElastix > An metric based on the itk::AdvancedKappaStatisticImageToImageMetric C elastix::AdvancedMattesMutualInformationMetric< TElastix > A metric based on the itk::ParzenWindowMutualInformationImageToImageMetric C elastix::AdvancedMeanSquaresMetric< TElastix > An metric based on the itk::AdvancedMeanSquaresImageToImageMetric C elastix::AdvancedNormalizedCorrelationMetric< TElastix > An metric based on the itk::AdvancedNormalizedCorrelationImageToImageMetric C elastix::CorrespondingPointsEuclideanDistanceMetric< TElastix > An metric based on the itk::CorrespondingPointsEuclideanDistancePointMetric C elastix::DisplacementMagnitudePenalty< TElastix > A penalty term that penalises ||T(x)-x|| C elastix::DistancePreservingRigidityPenalty< TElastix > A penalty term designed to preserve inter-voxel distances within rigid body regions C elastix::GradientDifferenceMetric< TElastix > An metric based on the itk::GradientDifferenceImageToImageMetric C elastix::KNNGraphAlphaMutualInformationMetric< TElastix > A metric based on the itk::KNNGraphAlphaMutualInformationImageToImageMetric C elastix::MissingStructurePenalty< TElastix > C elastix::NormalizedGradientCorrelationMetric< TElastix > An metric based on the itk::NormalizedGradientCorrelationImageToImageMetric C elastix::NormalizedMutualInformationMetric< TElastix > A metric based on the itk::ParzenWindowNormalizedMutualInformationImageToImageMetric C elastix::PCAMetric< TElastix >
This metric is based on the AdvancedImageToImageMetric. It is templated over the type of the fixed and moving images to be compared
C elastix::PCAMetric2< TElastix > This metric is based on the AdvancedImageToImageMetric. It is templated over the type of the fixed and moving images to be compared C elastix::PatternIntensityMetric< TElastix > An metric based on the itk::PatternIntensityImageToImageMetric C elastix::PolydataDummyPenalty< TElastix > A dummy metric to generate transformed meshes at each iteration. This metric does not contribute to the cost function, but provides the options to read vtk polydata meshes from the command-line and write the transformed meshes to disk each iteration or resolution level. The command-line options for input meshes is: -fmesh<[A-Z]><MetricNumber>. This metric can be used as a base for other mesh-based penalties C elastix::StatisticalShapePenalty< TElastix > An metric based on the itk::StatisticalShapePointPenalty C elastix::SumOfPairwiseCorrelationCoefficientsMetric< TElastix > Compute the sum of correlation coefficients between images in the slowest varying dimension in the moving image C elastix::SumSquaredTissueVolumeDifferenceMetric< TElastix > A metric based on the itk::SumSquaredTissueVolumeDifferenceImageToImageMetric C elastix::TransformBendingEnergyPenalty< TElastix > A penalty term based on the bending energy of a thin metal sheet C elastix::TransformRigidityPenalty< TElastix > A penalty term based on non-rigidity C elastix::VarianceOverLastDimensionMetric< TElastix > Compute the sum of variances over the slowest varying dimension in the moving image ► C elastix::MovingImagePyramidBase< TElastix > This class is the elastix base class for all MovingImagePyramids ► C elastix::MovingGenericPyramid< TElastix > A pyramid based on the itk::GenericMultiResolutionPyramidImageFilter C elastix::OpenCLMovingGenericPyramid< TElastix > A pyramid based on the itk::GenericMultiResolutionPyramidImageFilter . The parameters used in this class are: C elastix::MovingRecursivePyramid< TElastix > A pyramid based on the itkRecursiveMultiResolutionPyramidImageFilter C elastix::MovingShrinkingPyramid< TElastix > A pyramid based on the itk::MultiResolutionShrinkPyramidImageFilter C elastix::MovingSmoothingPyramid< TElastix > A pyramid based on the itkMultiResolutionGaussianSmoothingPyramidImageFilter ► C elastix::OptimizerBase< TElastix > This class is the elastix base class for all Optimizers C elastix::AdaGrad< TElastix > A gradient descent optimizer with an adaptive gain C elastix::AdaptiveStochasticGradientDescent< TElastix > A gradient descent optimizer with an adaptive gain C elastix::AdaptiveStochasticLBFGS< TElastix > A gradient descent optimizer with an adaptive gain C elastix::AdaptiveStochasticVarianceReducedGradient< TElastix > A gradient descent optimizer with an adaptive gain C elastix::CMAEvolutionStrategy< TElastix > An optimizer based on the itk::CMAEvolutionStrategyOptimizer C elastix::ConjugateGradient< TElastix > An optimizer based on the itk::GenericConjugateGradientOptimizer C elastix::ConjugateGradientFRPR< TElastix > The ConjugateGradientFRPR class C elastix::FiniteDifferenceGradientDescent< TElastix > An optimizer based on the itk::FiniteDifferenceGradientDescentOptimizer C elastix::FullSearch< TElastix > An optimizer based on the itk::FullSearchOptimizer C elastix::Powell< TElastix > An optimizer based on Powell .. C elastix::PreconditionedGradientDescent< TElastix > A gradient descent optimizer with a decaying gain C elastix::PreconditionedStochasticGradientDescent< TElastix > A gradient descent optimizer with an adaptive gain C elastix::QuasiNewtonLBFGS< TElastix > An optimizer based on the itk::QuasiNewtonLBFGSOptimizer C elastix::RSGDEachParameterApart< TElastix > An optimizer based on gradient descent C elastix::RegularStepGradientDescent< TElastix > An optimizer based on gradient descent.. C elastix::Simplex< TElastix > An optimizer based on Simplex .. C elastix::SimultaneousPerturbation< TElastix > An optimizer based on the itk::SPSAOptimizer C elastix::StandardGradientDescent< TElastix > A gradient descent optimizer with a decaying gain ► C elastix::RegistrationBase< TElastix > This class is the elastix base class for all Registration schemes C elastix::MultiMetricMultiResolutionRegistration< TElastix > A registration framework based on the itk::MultiMetricMultiResolutionImageRegistrationMethod C elastix::MultiResolutionRegistration< TElastix > A registration framework based on the itk::MultiResolutionImageRegistrationMethod C elastix::MultiResolutionRegistrationWithFeatures< TElastix > A registration framework based on the itk::MultiResolutionImageRegistrationMethodWithFeatures ► C elastix::ResampleInterpolatorBase< TElastix > This class is the elastix base class for all ResampleInterpolators C elastix::BSplineResampleInterpolator< TElastix > A resample-interpolator based on B-splines C elastix::BSplineResampleInterpolatorFloat< TElastix > A resample-interpolator based on B-splines C elastix::LinearResampleInterpolator< TElastix > A linear resample-interpolator C elastix::NearestNeighborResampleInterpolator< TElastix > A nearest neighbor resample-interpolator C elastix::RayCastResampleInterpolator< TElastix > An interpolator based on .. C elastix::ReducedDimensionBSplineResampleInterpolator< TElastix > A resample-interpolator based on B-splines which ignores the last dimension ► C elastix::ResamplerBase< TElastix > C elastix::MyStandardResampler< TElastix > A resampler based on the itk::ResampleImageFilter C elastix::OpenCLResampler< TElastix > A resampler based on the itk::GPUResampleImageFilter . The parameters used in this class are: ► C elastix::TransformBase< TElastix > This class is the elastix base class for all Transforms C elastix::AdvancedAffineTransformElastix< TElastix > A transform based on the itk::AdvancedMatrixOffsetTransformBase C elastix::AdvancedBSplineTransform< TElastix > A transform based on the itkAdvancedBSplineTransform C elastix::AffineDTITransformElastix< TElastix > A transform based on the itk AffineDTITransform C elastix::AffineLogStackTransform< TElastix > An affine log transform based on the itkStackTransform C elastix::AffineLogTransformElastix< TElastix > This transform is an affine transformation, with a different parametrisation than the usual one C elastix::BSplineStackTransform< TElastix > A B-spline transform based on the itkStackTransform C elastix::BSplineTransformWithDiffusion< TElastix > This class combines a B-spline transform with the diffusion/filtering of the deformation field C elastix::DeformationFieldTransform< TElastix > A transform based on a DeformationField C elastix::EulerStackTransform< TElastix > A stack transform based on the itk EulerTransforms C elastix::EulerTransformElastix< TElastix > A transform based on the itk EulerTransforms C elastix::MultiBSplineTransformWithNormal< TElastix > A transform based on the itkMultiBSplineDeformableTransformWithNormal C elastix::RecursiveBSplineTransform< TElastix > A transform based on the itkRecursiveBSplineTransform C elastix::SimilarityTransformElastix< TElastix > A transform based on the itk SimilarityTransforms C elastix::SplineKernelTransform< TElastix > A transform based on the itk::KernelTransform2 C elastix::TranslationStackTransform< TElastix > C elastix::TranslationTransformElastix< TElastix > A transform based on the itk::TranslationTransform C elastix::WeightedCombinationTransformElastix< TElastix > A transform based on the itk::WeightedCombinationTransform C elastix::Configuration A class that deals with user given parameters and command line arguments ► C elastix::ElastixBase This class creates an interface for elastix C elastix::ElastixTemplate< TFixedImage, TMovingImage > The main elastix class, which connects components and invokes the BeforeRegistration() , BeforeEachResolution() , etc. methods C elastix::Conversion A class that contains utility functions for the conversion of number of seconds and parameter values to text C elastix::ELASTIX C elastix::ElastixBase::MultipleImageLoader< TImage > C elastix::ElastixTypedef< VIndex > C elastix::FixedImageDimensionSupport< VDimension > C elastix::FixedImageDimensionSupport< maxSupportedImageDimension+1 > C elastix::GenericPyramidHelper C elastix::InstallFunctions< TAnyItkObject > A class with functions that are used to install elastix components C elastix::PreconditionedGradientDescent< TElastix >::SettingsType C elastix::PreconditionedStochasticGradientDescent< TElastix >::SettingsType C elastix::TransformFactoryRegistration C elastix::TransformIO C elastix::xoutManager C elastix::xoutManager::Guard C ElastixRegistrationMethod ITK Filter interface to the Elastix registration library ► C Euler2DTransform C itk::GPUEuler2DTransform< TScalarType, TParentTransform > GPU version of Euler2DTransform ► C Euler3DTransform C itk::GPUEuler3DTransform< TScalarType, TParentTransform > GPU version of Euler3DTransform ► C EulerGroupTemplate C itk::EulerTransform< TScalarType, Dimension > This class combines the Euler2DTransform with the Euler3DTransform C itk::EulerTransform< TScalarType, 3 > ► C ExceptionObject C itk::OpenCLCompileError ► C FunctionBase C itk::BSplineInterpolationWeightFunctionBase< float, 2, 3 > ► C itk::BSplineInterpolationWeightFunctionBase< TCoordRep, VSpaceDimension, VSplineOrder > Returns the weights over the support region used for B-spline interpolation/reconstruction C itk::BSplineInterpolationDerivativeWeightFunction< TCoordRep, VSpaceDimension, VSplineOrder > Returns the weights over the support region used for B-spline interpolation/reconstruction C itk::BSplineInterpolationSecondOrderDerivativeWeightFunction< TCoordRep, VSpaceDimension, VSplineOrder > Returns the weights over the support region used for B-spline interpolation/reconstruction C itk::BSplineInterpolationWeightFunction2< TCoordRep, VSpaceDimension, VSplineOrder > Returns the weights over the support region used for B-spline interpolation/reconstruction ► C itk::LimiterFunctionBase< TInput, NDimension > Base class for all ITK limiter function objects C itk::ExponentialLimiterFunction< TInput, NDimension > A soft limiter C itk::HardLimiterFunction< TInput, NDimension > A hard limiter C GPUAdvancedBSplineDeformableTransformFactory Object Factory implementation for GPUAdvancedBSplineDeformableTransform C GPUAdvancedCombinationTransformFactory Object Factory implementation for GPUAdvancedCombinationTransform C GPUAdvancedEuler2DTransformFactory Object Factory implementation for GPUAdvancedEuler2DTransform C GPUAdvancedEuler3DTransformFactory Object Factory implementation for GPUAdvancedEuler3DTransform C GPUAdvancedMatrixOffsetTransformBaseFactory Object Factory implementation for GPUAdvancedMatrixOffsetTransformBase C GPUAdvancedSimilarity2DTransformFactory Object Factory implementation for GPUAdvancedSimilarity2DTransform C GPUAdvancedSimilarity3DTransformFactory Object Factory implementation for GPUAdvancedSimilarity3DTransform C GPUAdvancedTranslationTransformFactory Object Factory implementation for GPUAdvancedTranslationTransform C GPUAffineTransformFactory Object Factory implementation for GPUAffineTransform C GPUBSplineTransformFactory Object Factory implementation for GPUBSplineTransform C GPUCompositeTransformBaseBase Base class for all GPU composite transforms C GPUCompositeTransformFactory Object Factory implementation for GPUCompositeTransform C GPUEuler2DTransformFactory Object Factory implementation for GPUEuler2DTransform C GPUEuler3DTransformFactory Object Factory implementation for GPUEuler3DTransform C GPUIdentityTransformFactory Object Factory implementation for GPUIdentityTransform C GPUImageBase GPU version of ImageBase C GPUImageFunction GPU version of ImageFunction C GPUSimilarity2DTransformFactory Object Factory implementation for GPUSimilarity2DTransform C GPUSimilarity3DTransformFactory Object Factory implementation for GPUSimilarity3DTransform C GPUTranslationTransformFactory Object Factory implementation for GPUTranslationTransform ► C IdentityTransform C itk::GPUIdentityTransform< TScalarType, NDimensions, TParentTransform > GPU version of IdentityTransform ► C Image C itk::GPUImage< TPixel, VImageDimension > Templated n-dimensional image class for the GPU ► C ImageFileWriter C itk::ImageFileCastWriter< TInputImage > Casts pixel type and writes image data ► C ImageIOBase C itk::MevisDicomTiffImageIO ► C ImageToImageFilter C itk::ParabolicErodeDilateImageFilter< TInputImage, false, TInputImage > C itk::ErodeMaskImageFilter< TImage > ► C itk::GPUImageToImageFilter< TInputImage, TOutputImage, TParentImageFilter > Class to abstract the behaviour of the GPU filters C itk::GPUInPlaceImageFilter< TInputImage, TOutputImage, CastImageFilter< TInputImage, TOutputImage > > ► C itk::GPUInPlaceImageFilter< TInputImage, TOutputImage, RecursiveGaussianImageFilter< TInputImage, TOutputImage > > C itk::GPURecursiveGaussianImageFilter< TInputImage, TOutputImage > GPU version of RecursiveGaussianImageFilter C itk::GPUInPlaceImageFilter< TInputImage, TOutputImage, InPlaceImageFilter< TInputImage, TOutputImage > > ► C itk::GPUInPlaceImageFilter< TInputImage, TOutputImage, TParentImageFilter > Base class for GPU filters that take an image as input and overwrite that image as the output ► C itk::GPUUnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::GPUCast< TInputImage::PixelType, TOutputImage::PixelType >, CastImageFilter< TInputImage, TOutputImage > > C itk::GPUCastImageFilter< TInputImage, TOutputImage > GPU version of CastImageFilter C itk::GPUUnaryFunctorImageFilter< TInputImage, TOutputImage, TFunction, TParentImageFilter > Implements pixel-wise generic operation on one image using the GPU C itk::GPUResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType > GPU version of ResampleImageFilter C itk::MultiOrderBSplineDecompositionImageFilter< TInputImage, TOutputImage > Calculates the B-Spline coefficients of an image. Spline order may be per dimension from 0 to 5 per ► C itk::ParabolicErodeDilateImageFilter< TInputImage, doDilate, TOutputImage > Parent class for morphological operations with parabolic structuring elements C itk::ParabolicErodeImageFilter< TInputImage, TOutputImage > Class for morphological erosion operations with parabolic structuring elements C itk::VectorMeanDiffusionImageFilter< TInputImage, TGrayValueImage > Applies an averaging filter to an image ► C ImageToImageMetric C itk::AdvancedImageToImageMetric< MetricBase< TElastix >::FixedImageType, MetricBase< TElastix >::MovingImageType > C itk::AdvancedImageToImageMetric< MetricBase< TElastix >::FixedImageType, MetricBase< TElastix >::FixedImageType > ► C itk::AdvancedImageToImageMetric< TFixedImage, TFixedImage > ► C itk::TransformPenaltyTerm< TFixedImage, TScalarType > C itk::DisplacementMagnitudePenaltyTerm< TFixedImage, TScalarType > A cost function that calculates C itk::DistancePreservingRigidityPenaltyTerm< TFixedImage, TScalarType > C itk::TransformBendingEnergyPenaltyTerm< TFixedImage, TScalarType > A cost function that calculates the bending energy of a transformation C itk::TransformRigidityPenaltyTerm< TFixedImage, TScalarType > A cost function that calculates a rigidity penalty term ► C itk::TransformPenaltyTerm< TFixedImage, TScalarType > A cost function that calculates a penalty term on a transformation ► C itk::DisplacementMagnitudePenaltyTerm< MetricBase< TElastix >::FixedImageType, double > C elastix::DisplacementMagnitudePenalty< TElastix > A penalty term that penalises ||T(x)-x|| ► C itk::DistancePreservingRigidityPenaltyTerm< MetricBase< TElastix >::FixedImageType, double > C elastix::DistancePreservingRigidityPenalty< TElastix > A penalty term designed to preserve inter-voxel distances within rigid body regions ► C itk::TransformBendingEnergyPenaltyTerm< MetricBase< TElastix >::FixedImageType, double > C elastix::TransformBendingEnergyPenalty< TElastix > A penalty term based on the bending energy of a thin metal sheet ► C itk::TransformRigidityPenaltyTerm< MetricBase< TElastix >::FixedImageType, double > C elastix::TransformRigidityPenalty< TElastix > A penalty term based on non-rigidity ► C itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage > An extension of the ITK ImageToImageMetric. It is the intended base class for all elastix metrics ► C itk::AdvancedKappaStatisticImageToImageMetric< MetricBase< TElastix >::FixedImageType, MetricBase< TElastix >::MovingImageType > C elastix::AdvancedKappaStatisticMetric< TElastix > An metric based on the itk::AdvancedKappaStatisticImageToImageMetric ► C itk::AdvancedMeanSquaresImageToImageMetric< MetricBase< TElastix >::FixedImageType, MetricBase< TElastix >::MovingImageType > C elastix::AdvancedMeanSquaresMetric< TElastix > An metric based on the itk::AdvancedMeanSquaresImageToImageMetric ► C itk::AdvancedNormalizedCorrelationImageToImageMetric< MetricBase< TElastix >::FixedImageType, MetricBase< TElastix >::MovingImageType > C elastix::AdvancedNormalizedCorrelationMetric< TElastix > An metric based on the itk::AdvancedNormalizedCorrelationImageToImageMetric ► C itk::GradientDifferenceImageToImageMetric< MetricBase< TElastix >::FixedImageType, MetricBase< TElastix >::MovingImageType > C elastix::GradientDifferenceMetric< TElastix > An metric based on the itk::GradientDifferenceImageToImageMetric C itk::MultiInputImageToImageMetricBase< MetricBase< TElastix >::FixedImageType, MetricBase< TElastix >::MovingImageType > ► C itk::NormalizedGradientCorrelationImageToImageMetric< MetricBase< TElastix >::FixedImageType, MetricBase< TElastix >::MovingImageType > C elastix::NormalizedGradientCorrelationMetric< TElastix > An metric based on the itk::NormalizedGradientCorrelationImageToImageMetric ► C itk::PCAMetric< MetricBase< TElastix >::FixedImageType, MetricBase< TElastix >::MovingImageType > C elastix::PCAMetric< TElastix >
This metric is based on the AdvancedImageToImageMetric. It is templated over the type of the fixed and moving images to be compared
► C itk::PCAMetric2< MetricBase< TElastix >::FixedImageType, MetricBase< TElastix >::MovingImageType > C elastix::PCAMetric2< TElastix > This metric is based on the AdvancedImageToImageMetric. It is templated over the type of the fixed and moving images to be compared C itk::ParzenWindowHistogramImageToImageMetric< MetricBase< TElastix >::FixedImageType, MetricBase< TElastix >::MovingImageType > ► C itk::PatternIntensityImageToImageMetric< MetricBase< TElastix >::FixedImageType, MetricBase< TElastix >::MovingImageType > C elastix::PatternIntensityMetric< TElastix > An metric based on the itk::PatternIntensityImageToImageMetric ► C itk::SumOfPairwiseCorrelationCoefficientsMetric< MetricBase< TElastix >::FixedImageType, MetricBase< TElastix >::MovingImageType > C elastix::SumOfPairwiseCorrelationCoefficientsMetric< TElastix > Compute the sum of correlation coefficients between images in the slowest varying dimension in the moving image ► C itk::SumSquaredTissueVolumeDifferenceImageToImageMetric< MetricBase< TElastix >::FixedImageType, MetricBase< TElastix >::MovingImageType > C elastix::SumSquaredTissueVolumeDifferenceMetric< TElastix > A metric based on the itk::SumSquaredTissueVolumeDifferenceImageToImageMetric C itk::TransformPenaltyTerm< MetricBase< TElastix >::FixedImageType, double > ► C itk::VarianceOverLastDimensionImageMetric< MetricBase< TElastix >::FixedImageType, MetricBase< TElastix >::MovingImageType > C elastix::VarianceOverLastDimensionMetric< TElastix > Compute the sum of variances over the slowest varying dimension in the moving image C itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage > Computes similarity between two objects to be registered C itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage > Compute Mean square difference between two images, based on AdvancedImageToImageMetric .. C itk::AdvancedNormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage > Computes normalized correlation between two images, based on AdvancedImageToImageMetric .. C itk::CombinationImageToImageMetric< TFixedImage, TMovingImage > Combines multiple metrics C itk::GradientDifferenceImageToImageMetric< TFixedImage, TMovingImage > Computes similarity between two objects to be registered C itk::ImageToImageMetricWithFeatures< TFixedImage, TMovingImage, TFixedFeatureImage, TMovingFeatureImage > Computes similarity between regions of two images ► C itk::MultiInputImageToImageMetricBase< TFixedImage, TMovingImage > Implements a metric base class that takes multiple inputs ► C itk::KNNGraphAlphaMutualInformationImageToImageMetric< MetricBase< TElastix >::FixedImageType, MetricBase< TElastix >::MovingImageType > C elastix::KNNGraphAlphaMutualInformationMetric< TElastix > A metric based on the itk::KNNGraphAlphaMutualInformationImageToImageMetric C itk::KNNGraphAlphaMutualInformationImageToImageMetric< TFixedImage, TMovingImage > Computes similarity between two images to be registered C itk::NormalizedGradientCorrelationImageToImageMetric< TFixedImage, TMovingImage > An metric based on the itk::NormalizedGradientCorrelationImageToImageMetric C itk::PCAMetric< TFixedImage, TMovingImage > C itk::PCAMetric2< TFixedImage, TMovingImage > ► C itk::ParzenWindowHistogramImageToImageMetric< TFixedImage, TMovingImage > A base class for image metrics based on a joint histogram computed using Parzen Windowing ► C itk::ParzenWindowMutualInformationImageToImageMetric< MetricBase< TElastix >::FixedImageType, MetricBase< TElastix >::MovingImageType > C elastix::AdvancedMattesMutualInformationMetric< TElastix > A metric based on the itk::ParzenWindowMutualInformationImageToImageMetric ► C itk::ParzenWindowNormalizedMutualInformationImageToImageMetric< MetricBase< TElastix >::FixedImageType, MetricBase< TElastix >::MovingImageType > C elastix::NormalizedMutualInformationMetric< TElastix > A metric based on the itk::ParzenWindowNormalizedMutualInformationImageToImageMetric C itk::ParzenWindowMutualInformationImageToImageMetric< TFixedImage, TMovingImage > Computes the mutual information between two images to be registered using the method of Mattes et al C itk::ParzenWindowNormalizedMutualInformationImageToImageMetric< TFixedImage, TMovingImage > Computes the normalized mutual information between two images to be registered using a method based on Thevenaz&Unser [3] C itk::PatternIntensityImageToImageMetric< TFixedImage, TMovingImage > Computes similarity between two objects to be registered C itk::SumOfPairwiseCorrelationCoefficientsMetric< TFixedImage, TMovingImage > C itk::SumSquaredTissueVolumeDifferenceImageToImageMetric< TFixedImage, TMovingImage > Compute sum of square tissue volume difference between two images C itk::VarianceOverLastDimensionImageMetric< TFixedImage, TMovingImage > Compute the sum of variances over the slowest varying dimension in the moving image ► C InPlaceImageFilter C itk::GPUImageToImageFilter< TInputImage, TInputImage, InPlaceImageFilter< TInputImage, TInputImage > > C itk::GPUImageToImageFilter< TInputImage, TOutputImage, InPlaceImageFilter< TInputImage, TOutputImage > > ► C InterpolateImageFunction ► C itk::AdvancedRayCastInterpolateImageFunction< InterpolatorBase< TElastix >::InputImageType, InterpolatorBase< TElastix >::CoordRepType > C elastix::RayCastInterpolator< TElastix > An interpolator based on the itkAdvancedRayCastInterpolateImageFunction ► C itk::AdvancedRayCastInterpolateImageFunction< ResampleInterpolatorBase< TElastix >::InputImageType, ResampleInterpolatorBase< TElastix >::CoordRepType > C elastix::RayCastResampleInterpolator< TElastix > An interpolator based on .. ► C itk::ReducedDimensionBSplineInterpolateImageFunction< InterpolatorBase< TElastix >::InputImageType, InterpolatorBase< TElastix >::CoordRepType, double > C elastix::ReducedDimensionBSplineInterpolator< TElastix > An interpolator based on the itkReducedDimensionBSplineInterpolateImageFunction ► C itk::ReducedDimensionBSplineInterpolateImageFunction< ResampleInterpolatorBase< TElastix >::InputImageType, ResampleInterpolatorBase< TElastix >::CoordRepType, double > C elastix::ReducedDimensionBSplineResampleInterpolator< TElastix > A resample-interpolator based on B-splines which ignores the last dimension C itk::AdvancedRayCastInterpolateImageFunction< TInputImage, TCoordRep > Projective interpolation of an image at specified positions ► C itk::GPUInterpolateImageFunction< TInputImage, TCoordRep, TParentInterpolateImageFunction > GPU version of InterpolateImageFunction C itk::GPUBSplineInterpolateImageFunction< TInputImage, TCoordRep, TCoefficientType > GPU version of BSplineInterpolateImageFunction C itk::GPULinearInterpolateImageFunction< TInputImage, TCoordRep > GPU version of LinearInterpolateImageFunction C itk::GPUNearestNeighborInterpolateImageFunction< TInputImage, TCoordRep > GPU version of NearestNeighborInterpolateImageFunction C itk::ReducedDimensionBSplineInterpolateImageFunction< TImageType, TCoordRep, TCoefficientType > Evaluates the B-Spline interpolation of an image. Spline order may be from 0 to 5 C itk::AdvancedImageMomentsCalculator< TImage >::ComputePerThreadStruct C itk::AdvancedImageMomentsCalculator< TImage >::MultiThreaderParameterType C itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativePerThreadStruct C itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::GetValuePerThreadStruct C itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::MultiThreaderParameterType C itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::KappaGetValueAndDerivativePerThreadStruct C itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::MultiThreaderAccumulateDerivativeType C itk::AdvancedNormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::CorrelationGetValueAndDerivativePerThreadStruct C itk::AdvancedNormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::MultiThreaderAccumulateDerivativeType ► C itk::AmoebaOptimizer C elastix::Simplex< TElastix > An optimizer based on Simplex .. ► C itk::BSplineInterpolateImageFunction C elastix::BSplineInterpolator< TElastix > An interpolator based on the itkBSplineInterpolateImageFunction C elastix::BSplineInterpolatorFloat< TElastix > An interpolator based on the itk::BSplineInterpolateImageFunction C elastix::BSplineResampleInterpolator< TElastix > A resample-interpolator based on B-splines C elastix::BSplineResampleInterpolatorFloat< TElastix > A resample-interpolator based on B-splines ► C itk::Command C elastix::ProgressCommand A specialized Command object for updating the progress of a filter C itk::ComputeDisplacementDistribution< TFixedImage, TTransform >::ComputePerThreadStruct C itk::ComputeDisplacementDistribution< TFixedImage, TTransform >::MultiThreaderParameterType ► C itk::DataObject C elastix::ParameterObject ► C itk::BinaryTreeBase< TListSample > ► C itk::BinaryANNTreeBase< TListSample > C itk::ANNBruteForceTree< TListSample > ► C itk::ANNkDTree< TListSample > C itk::ANNbdTree< TListSample > C itk::VectorDataContainer< TElementIdentifier, TElement > Define a front-end to the STL "vector" container that conforms to the IndexedContainerInterface ► C itk::FRPROptimizer C elastix::ConjugateGradientFRPR< TElastix > The ConjugateGradientFRPR class C itk::Functor::GPUFunctorBase Base functor class for GPU functor image filters C itk::GPUAdvancedCombinationTransformCopier< TTypeList, NDimensions, TAdvancedCombinationTransform, TOutputTransformPrecisionType >::TransformSpaceDimensionToType< Dimension > C itk::GPUImage< TPixel, VImageDimension >::Rebind< UPixelType, VUImageDimension > C itk::GPUImageBase1D C itk::GPUImageBase2D C itk::GPUImageBase3D ► C itk::GPUInterpolatorBase Base class fro all GPU interpolators C itk::GPUInterpolateImageFunction< TInputImage, float, BSplineInterpolateImageFunction< TInputImage, float, float > > C itk::GPUInterpolateImageFunction< TInputImage, float, LinearInterpolateImageFunction< TInputImage, float > > C itk::GPUInterpolateImageFunction< TInputImage, float, NearestNeighborInterpolateImageFunction< TInputImage, float > > C itk::GPUInterpolateImageFunction< TInputImage, TCoordRep, TParentInterpolateImageFunction > GPU version of InterpolateImageFunction ► C itk::GPUTransformBase Base class for all GPU transforms C itk::GPUBSplineBaseTransform< float, 3 > C itk::GPUCompositeTransformBase< float, 3 > C itk::GPUMatrixOffsetTransformBase< float, 2, 2 > C itk::GPUMatrixOffsetTransformBase< float, 3, 3 > C itk::GPUTranslationTransformBase< float, 3 > ► C itk::GPUBSplineBaseTransform< TScalarType, NDimensions > GPU base class for the BSplineTransform C itk::GPUAdvancedBSplineDeformableTransform< TScalarType, NDimensions, VSplineOrder, TParentTransform > GPU version of AdvancedBSplineDeformableTransform C itk::GPUBSplineTransform< TScalarType, NDimensions, VSplineOrder, TParentTransform > GPU version of BSplineTransform ► C itk::GPUCompositeTransformBase< TScalarType, NDimensions > C itk::GPUAdvancedCombinationTransform< TScalarType, NDimensions, TParentTransform > GPU version of AdvancedCombinationTransform C itk::GPUCompositeTransform< TScalarType, NDimensions, TParentTransform > GPU version of CompositeTransform C itk::GPUIdentityTransform< TScalarType, NDimensions, TParentTransform > GPU version of IdentityTransform ► C itk::GPUMatrixOffsetTransformBase< TScalarType, NInputDimensions, NOutputDimensions > Base version of the GPU MatrixOffsetTransform C itk::GPUAdvancedEuler2DTransform< TScalarType, TParentTransform > GPU version of AdvancedEuler2DTransform C itk::GPUAdvancedEuler3DTransform< TScalarType, TParentTransform > GPU version of AdvancedEuler3DTransform C itk::GPUAdvancedMatrixOffsetTransformBase< TScalarType, NDimensions, TParentTransform > GPU version of AdvancedMatrixOffsetTransformBase C itk::GPUAdvancedSimilarity2DTransform< TScalarType, TParentTransform > GPU version of AdvancedSimilarity2DTransform C itk::GPUAdvancedSimilarity3DTransform< TScalarType, TParentTransform > GPU version of AdvancedSimilarity3DTransform C itk::GPUAffineTransform< TScalarType, NDimensions, TParentTransform > GPU version of AffineTransform C itk::GPUEuler2DTransform< TScalarType, TParentTransform > GPU version of Euler2DTransform C itk::GPUEuler3DTransform< TScalarType, TParentTransform > GPU version of Euler3DTransform C itk::GPUSimilarity2DTransform< TScalarType, TParentTransform > GPU version of Similarity2DTransform C itk::GPUSimilarity3DTransform< TScalarType, TParentTransform > GPU version of Similarity3DTransform ► C itk::GPUTranslationTransformBase< TScalarType, NDimensions > Base class for all GPU translation transforms C itk::GPUAdvancedTranslationTransform< TScalarType, NDimensions, TParentTransform > GPU version of AdvancedTranslationTransform C itk::GPUTranslationTransform< TScalarType, NDimensions, TParentTransform > GPU version of TranslationTransform C itk::GPUTransformCopier< TTypeList, NDimensions, TTransform, TOutputTransformPrecisionType >::TransformSpaceDimensionToType< Dimension > C itk::ImageSample< TImage > A class that defines an image sample, which is the coordinates of a point and its value ► C itk::ImageSource C itk::ElastixRegistrationMethod< TFixedImage, TMovingImage > C itk::TransformToDeterminantOfSpatialJacobianSource< TOutputImage, TTransformPrecisionType > Generate the spatial Jacobian from a coordinate transform C itk::TransformToSpatialJacobianSource< TOutputImage, TTransformPrecisionType > Generate the spatial Jacobian matrix from a coordinate transform C itk::TransformixFilter< TMovingImage > C itk::ImageToVectorContainerFilter< TInputImage, TOutputVectorContainer >::ThreadStruct ► C itk::LinearInterpolateImageFunction C elastix::LinearResampleInterpolator< TElastix > A linear resample-interpolator C itk::AdvancedLinearInterpolateImageFunction< TInputImage, TCoordRep > Linearly interpolate an image at specified positions ► C itk::NearestNeighborInterpolateImageFunction C elastix::NearestNeighborInterpolator< TElastix > An interpolator based on the itkNearestNeighborInterpolateImageFunction C elastix::NearestNeighborResampleInterpolator< TElastix > A nearest neighbor resample-interpolator ► C itk::Object C elastix::ComponentDatabase Class that stores the New() functions of all components C elastix::ComponentLoader Determines which components (metrics, transforms, etc.) are available C elastix::Configuration A class that deals with user given parameters and command line arguments C elastix::ElastixBase This class creates an interface for elastix ► C elastix::ElastixMain A class with all functionality to configure elastix C elastix::TransformixMain A class with all functionality to configure transformix C itk::ANNBinaryTreeCreator C itk::AdvancedImageMomentsCalculator< TImage > Compute moments of an n-dimensional image ► C itk::BinaryTreeSearchBase< TListSample > ► C itk::BinaryANNTreeSearchBase< TListSample > C itk::ANNFixedRadiusTreeSearch< TListSample > C itk::ANNPriorityTreeSearch< TListSample > C itk::ANNStandardTreeSearch< TListSample > C itk::CenteredTransformInitializer2< TTransform, TFixedImage, TMovingImage > CenteredTransformInitializer2 is a helper class intended to initialize the center of rotation and the translation of Transforms having the center of rotation among their parameters C itk::ComputeJacobianTerms< TFixedImage, TTransform > This is a helper class for the automatic parameter estimation of the ASGD optimizer C itk::GPUAdvancedCombinationTransformCopier< TTypeList, NDimensions, TAdvancedCombinationTransform, TOutputTransformPrecisionType > A helper class which creates an GPU AdvancedCombinationTransform which is perfect copy of the CPU AdvancedCombinationTransform C itk::GPUCompositeTransformCopier< TTypeList, NDimensions, TCompositeTransform, TOutputTransformPrecisionType > A helper class which creates an GPU composite transform which is perfect copy of the CPU composite transform ► C itk::GPUDataManager GPU memory manager implemented using OpenCL. Required by GPUImage class C itk::GPUImageDataManager< itk::GPUImage > C itk::GPUImageDataManager< ImageType > C itk::GPUInterpolatorCopier< TTypeList, NDimensions, TInterpolator, TOutputCoordRep > A helper class which creates an GPU interpolator which is perfect copy of the CPU interpolator C itk::GPUTransformCopier< TTypeList, NDimensions, TTransform, TOutputTransformPrecisionType > A helper class which creates an GPU transform which is perfect copy of the CPU transform ► C itk::GridScheduleComputer< TTransformScalarType, VImageDimension > This class computes all information about the B-spline grid, given the image information and the desired grid spacing C itk::CyclicGridScheduleComputer< TTransformScalarType, VImageDimension > This class computes all information about the B-spline grid ► C itk::NDImageBase< TPixel > An image whose dimension can be specified at runtime C itk::NDImageTemplate< TPixel, VDimension > This class is a specialization of the NDImageBase , which acts as a wrap around an itk::Image C itk::ParameterFileParser Implements functionality to read a parameter file C itk::ParameterMapInterface Implements functionality to get parameters from a parameter map C itk::TranslationTransformInitializer< TTransform, TFixedImage, TMovingImage > TranslationTransformInitializer is a helper class intended to initialize the translation of a TranslationTransforms C itk::UpsampleBSplineParametersFilter< TArray, TImage > Convenience class for upsampling a B-spline coefficient image C itk::OpenCLCommandQueue OpenCL a command-queue on a specific device and valid OpenCLContext C itk::OpenCLContextScopeGuard C itk::OpenCLDefaultImageDimentions Default OpenCL image dimensions support struct C itk::OpenCLDevice Collection of OpenCL devices to be used by the host ► C itk::OpenCLEvent OpenCLEvent class represents an OpenCL event object C itk::OpenCLUserEvent OpenCL user events C itk::OpenCLEventList OpenCLEventList class represents a list of OpenCLEvent objects C itk::OpenCLImageFormat Format of a OpenCLImage C itk::OpenCLKernel Executable entry point function in an OpenCL program C itk::OpenCLKernelManager::KernelArgumentList C itk::OpenCLKernelToImageBridge< TImage > ► C itk::OpenCLMemoryObject All common memory objects such as buffers and image objects C itk::OpenCLBuffer OpenCL buffer object C itk::OpenCLImage Image object is used to store a one, two or three dimensional texture, frame-buffer or image C itk::OpenCLPlatform The OpenCLPlatform represent platform model for OpenCL C itk::OpenCLProfilingTimeProbe Computes the time passed between two points in code C itk::OpenCLProgram OpenCL program object C itk::OpenCLSampler OpenCL sampler object C itk::OpenCLSize Defines the size of an item of work for an OpenCL kernel C itk::OpenCLSize::Null ► C itk::OpenCLVectorBase The base class for the OpenCLVector implementation C itk::OpenCLVector< T > The OpenCLVector class represents a templated OpenCL buffer object C itk::ParzenWindowHistogramImageToImageMetric< TFixedImage, TMovingImage >::ParzenWindowHistogramGetValueAndDerivativePerThreadStruct C itk::ParzenWindowHistogramImageToImageMetric< TFixedImage, TMovingImage >::ParzenWindowHistogramMultiThreaderParameterType C itk::ParzenWindowMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::ParzenWindowMutualInformationMultiThreaderParameterType C itk::PCAMetric< TFixedImage, TMovingImage >::PCAMetricGetSamplesPerThreadStruct C itk::PCAMetric< TFixedImage, TMovingImage >::PCAMetricMultiThreaderParameterType ► C itk::PowellOptimizer C elastix::Powell< TElastix > An optimizer based on Powell .. C itk::RecursiveBSplineTransformImplementation< OutputDimension, SpaceDimension, SplineOrder, TScalar > This helper class contains the actual implementation of the recursive B-spline transform C itk::RecursiveBSplineTransformImplementation< OutputDimension, 0, SplineOrder, TScalar > ► C itk::RecursiveMultiResolutionPyramidImageFilter C elastix::FixedRecursivePyramid< TElastix > A pyramid based on the itk::RecursiveMultiResolutionPyramidImageFilter C elastix::MovingRecursivePyramid< TElastix > A pyramid based on the itkRecursiveMultiResolutionPyramidImageFilter ► C itk::RegularStepGradientDescentOptimizer C elastix::RegularStepGradientDescent< TElastix > An optimizer based on gradient descent.. ► C itk::ResampleImageFilter C elastix::OpenCLResampler< TElastix > A resampler based on the itk::GPUResampleImageFilter . The parameters used in this class are: ► C itk::SPSAOptimizer C elastix::SimultaneousPerturbation< TElastix > An optimizer based on the itk::SPSAOptimizer C itk::StochasticGradientDescentOptimizer::MultiThreaderParameterType C itk::StochasticVarianceReducedGradientDescentOptimizer::MultiThreaderParameterType ► C KernelFunctionBase ► C itk::KernelFunctionBase2< double > C itk::BSplineDerivativeKernelFunction2< VSplineOrder > Derivative of a B-spline kernel used for density estimation and nonparametric regression C itk::BSplineKernelFunction2< VSplineOrder > B-spline kernel used for density estimation and nonparameteric regression C itk::BSplineSecondOrderDerivativeKernelFunction2< VSplineOrder > Derivative of a B-spline kernel used for density estimation and nonparametric regression C itk::KernelFunctionBase2< TRealValueType > Kernel used for density estimation and nonparameteric regression ► C LightObject C itk::OpenCLContext OpenCL context C itk::OpenCLKernelManager OpenCL kernel manager implemented using OpenCL ► C LinearInterpolateImageFunction ► C itk::AdvancedLinearInterpolateImageFunction< InterpolatorBase< TElastix >::InputImageType, InterpolatorBase< TElastix >::CoordRepType > C elastix::LinearInterpolator< TElastix > An interpolator based on the itk::AdvancedLinearInterpolateImageFunction C itk::GPUInterpolateImageFunction< TInputImage, float, LinearInterpolateImageFunction< TInputImage, float > > ► C LoggerBase C itk::OpenCLLogger Used for logging OpenCL compiler errors during a run ► C MeshSource ► C itk::MeshFileReaderBase< TOutputMesh > Base class for mesh readers C itk::TransformixInputPointFileReader< TOutputMesh > A reader that understands transformix input point files ► C MultiResolutionPyramidImageFilter ► C itk::GenericMultiResolutionPyramidImageFilter< FixedImagePyramidBase< TElastix >::InputImageType, FixedImagePyramidBase< TElastix >::OutputImageType > C elastix::FixedGenericPyramid< TElastix > A pyramid based on the itk::GenericMultiResolutionPyramidImageFilter ► C itk::GenericMultiResolutionPyramidImageFilter< MovingImagePyramidBase< TElastix >::InputImageType, MovingImagePyramidBase< TElastix >::OutputImageType > C elastix::MovingGenericPyramid< TElastix > A pyramid based on the itk::GenericMultiResolutionPyramidImageFilter ► C itk::MultiResolutionGaussianSmoothingPyramidImageFilter< FixedImagePyramidBase< TElastix >::InputImageType, FixedImagePyramidBase< TElastix >::OutputImageType > C elastix::FixedSmoothingPyramid< TElastix > A pyramid based on the itk::MultiResolutionGaussianSmoothingPyramidImageFilter ► C itk::MultiResolutionGaussianSmoothingPyramidImageFilter< MovingImagePyramidBase< TElastix >::InputImageType, MovingImagePyramidBase< TElastix >::OutputImageType > C elastix::MovingSmoothingPyramid< TElastix > A pyramid based on the itkMultiResolutionGaussianSmoothingPyramidImageFilter ► C itk::MultiResolutionShrinkPyramidImageFilter< FixedImagePyramidBase< TElastix >::InputImageType, FixedImagePyramidBase< TElastix >::OutputImageType > C elastix::FixedShrinkingPyramid< TElastix > A pyramid based on the itk::MultiResolutionShrinkPyramidImageFilter ► C itk::MultiResolutionShrinkPyramidImageFilter< MovingImagePyramidBase< TElastix >::InputImageType, MovingImagePyramidBase< TElastix >::OutputImageType > C elastix::MovingShrinkingPyramid< TElastix > A pyramid based on the itk::MultiResolutionShrinkPyramidImageFilter C itk::GenericMultiResolutionPyramidImageFilter< TInputImage, TOutputImage, TPrecisionType > Framework for creating images in a multi-resolution pyramid C itk::MultiResolutionGaussianSmoothingPyramidImageFilter< TInputImage, TOutputImage > Framework for creating images in a multi-resolution pyramid C itk::MultiResolutionShrinkPyramidImageFilter< TInputImage, TOutputImage > Framework for creating images in a multi-resolution pyramid ► C NearestNeighborInterpolateImageFunction C itk::GPUInterpolateImageFunction< TInputImage, float, NearestNeighborInterpolateImageFunction< TInputImage, float > > ► C ObjectFactoryBase ► C itk::GPUObjectFactoryBase< NDimensions > Base class for all GPU factory classes C itk::GPUAdvancedBSplineDeformableTransformFactory2< NDimensions > C itk::GPUAdvancedCombinationTransformFactory2< NDimensions > C itk::GPUAdvancedEuler2DTransformFactory2< NDimensions > C itk::GPUAdvancedEuler3DTransformFactory2< NDimensions > C itk::GPUAdvancedMatrixOffsetTransformBaseFactory2< NDimensions > C itk::GPUAdvancedSimilarity2DTransformFactory2< NDimensions > C itk::GPUAdvancedSimilarity3DTransformFactory2< NDimensions > C itk::GPUAdvancedTranslationTransformFactory2< NDimensions > C itk::GPUAffineTransformFactory2< NDimensions > C itk::GPUBSplineDecompositionImageFilterFactory2< TTypeListIn, TTypeListOut, NDimensions > Object Factory implementation for GPUBSplineDecompositionImageFilter C itk::GPUBSplineInterpolateImageFunctionFactory2< TTypeList, NDimensions > Object Factory implementation for GPUBSplineInterpolateImageFunction C itk::GPUBSplineTransformFactory2< NDimensions > C itk::GPUCastImageFilterFactory2< TTypeListIn, TTypeListOut, NDimensions > Object Factory implementation for GPUCastImageFilter C itk::GPUCompositeTransformFactory2< NDimensions > C itk::GPUEuler2DTransformFactory2< NDimensions > C itk::GPUEuler3DTransformFactory2< NDimensions > C itk::GPUIdentityTransformFactory2< NDimensions > C itk::GPUImageFactory2< TTypeList, NDimensions > Object Factory implementation for GPUImage C itk::GPULinearInterpolateImageFunctionFactory2< TTypeList, NDimensions > Object Factory implementation for GPULinearInterpolateImageFunction C itk::GPUNearestNeighborInterpolateImageFunctionFactory2< TTypeList, NDimensions > Object Factory implementation for GPUNearestNeighborInterpolateImageFunction C itk::GPURecursiveGaussianImageFilterFactory2< TTypeListIn, TTypeListOut, NDimensions > Object Factory implementation for GPURecursiveGaussianImageFilter C itk::GPUResampleImageFilterFactory2< TTypeListIn, TTypeListOut, NDimensions > Object Factory implementation for GPUResampleImageFilter C itk::GPUShrinkImageFilterFactory2< TTypeListIn, TTypeListOut, NDimensions > Object Factory implementation for GPUShrinkImageFilter C itk::GPUSimilarity2DTransformFactory2< NDimensions > C itk::GPUSimilarity3DTransformFactory2< NDimensions > C itk::GPUTranslationTransformFactory2< NDimensions > C itk::MevisDicomTiffImageIOFactory Create instances of MevisDicomTiffImageIO objects using an object factory ► C ProcessObject C itk::MultiResolutionImageRegistrationMethod2< RegistrationBase< TElastix >::FixedImageType, RegistrationBase< TElastix >::MovingImageType > C itk::VectorContainerSource< VectorDataContainer< std::vcl_size_t, ImageSample< elx::ImageSamplerBase< TElastix >::InputImageType > > > C itk::VectorContainerSource< VectorDataContainer< std::vcl_size_t, ImageSample< TElastix > > > C itk::VectorContainerSource< VectorDataContainer< std::vcl_size_t, ImageSample< TInputImage > > > ► C itk::MultiResolutionImageRegistrationMethod2< TFixedImage, TMovingImage > Base class for multi-resolution image registration methods C itk::MultiInputMultiResolutionImageRegistrationMethodBase< RegistrationBase< TElastix >::FixedImageType, RegistrationBase< TElastix >::MovingImageType > ► C itk::MultiMetricMultiResolutionImageRegistrationMethod< RegistrationBase< TElastix >::FixedImageType, RegistrationBase< TElastix >::MovingImageType > C elastix::MultiMetricMultiResolutionRegistration< TElastix > A registration framework based on the itk::MultiMetricMultiResolutionImageRegistrationMethod C elastix::MultiResolutionRegistration< TElastix > A registration framework based on the itk::MultiResolutionImageRegistrationMethod ► C itk::MultiInputMultiResolutionImageRegistrationMethodBase< TFixedImage, TMovingImage > Base class for multi-resolution image registration methods ► C itk::MultiResolutionImageRegistrationMethodWithFeatures< RegistrationBase< TElastix >::FixedImageType, RegistrationBase< TElastix >::MovingImageType > C elastix::MultiResolutionRegistrationWithFeatures< TElastix > A registration framework based on the itk::MultiResolutionImageRegistrationMethodWithFeatures C itk::MultiResolutionImageRegistrationMethodWithFeatures< TFixedImage, TMovingImage > Class for multi-resolution image registration methods C itk::MultiMetricMultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage > Base class for multi-resolution image registration methods ► C itk::VectorContainerSource< TOutputVectorContainer > A base class for creating an ImageToVectorContainerFilter C itk::ImageToVectorContainerFilter< elx::ImageSamplerBase< TElastix >::InputImageType, VectorDataContainer< std::vcl_size_t, ImageSample< elx::ImageSamplerBase< TElastix >::InputImageType > > > C itk::ImageToVectorContainerFilter< TElastix, VectorDataContainer< std::vcl_size_t, ImageSample< TElastix > > > ► C itk::ImageToVectorContainerFilter< TInputImage, VectorDataContainer< std::vcl_size_t, ImageSample< TInputImage > > > ► C itk::ImageSamplerBase< TInputImage > This class is a base class for any image sampler ► C itk::ImageFullSampler< elx::ImageSamplerBase< TElastix >::InputImageType > C elastix::FullSampler< TElastix > An interpolator based on the itk::ImageFullSampler ► C itk::ImageGridSampler< elx::ImageSamplerBase< TElastix >::InputImageType > C elastix::GridSampler< TElastix > An interpolator based on the itk::ImageGridSampler C itk::ImageRandomSamplerBase< elx::ImageSamplerBase< TElastix >::InputImageType > C itk::ImageFullSampler< TInputImage > Samples all voxels in the InputImageRegion C itk::ImageGridSampler< TInputImage > Samples image voxels on a regular grid ► C itk::ImageRandomSamplerBase< TInputImage > This class is a base class for any image sampler that randomly picks samples ► C itk::ImageRandomCoordinateSampler< elx::ImageSamplerBase< TElastix >::InputImageType > C elastix::RandomCoordinateSampler< TElastix > An interpolator based on the itk::ImageRandomCoordinateSampler ► C itk::ImageRandomSampler< elx::ImageSamplerBase< TElastix >::InputImageType > C elastix::RandomSampler< TElastix > An interpolator based on the itk::ImageRandomSampler ► C itk::ImageRandomSamplerSparseMask< elx::ImageSamplerBase< TElastix >::InputImageType > C elastix::RandomSamplerSparseMask< TElastix > An interpolator based on the itk::ImageRandomSamplerSparseMask ► C itk::MultiInputImageRandomCoordinateSampler< elx::ImageSamplerBase< TElastix >::InputImageType > C elastix::MultiInputRandomCoordinateSampler< TElastix > An interpolator based on the itk::MultiInputImageRandomCoordinateSampler C itk::ImageRandomCoordinateSampler< TInputImage > Samples an image by randomly composing a set of physical coordinates C itk::ImageRandomSampler< TInputImage > Samples randomly some voxels of an image C itk::ImageRandomSamplerSparseMask< TInputImage > Samples randomly some voxels of an image C itk::MultiInputImageRandomCoordinateSampler< TInputImage > Samples an image by randomly composing a set of physical coordinates ► C itk::ImageToVectorContainerFilter< TInputImage, TOutputVectorContainer > Base class that takes in an image and pops out a vector container C itk::ImageSamplerBase< elx::ImageSamplerBase< TElastix >::InputImageType > ► C itk::ImageSamplerBase< TElastix > C elastix::FullSampler< TElastix > An interpolator based on the itk::ImageFullSampler C elastix::GridSampler< TElastix > An interpolator based on the itk::ImageGridSampler C elastix::MultiInputRandomCoordinateSampler< TElastix > An interpolator based on the itk::MultiInputImageRandomCoordinateSampler C elastix::RandomCoordinateSampler< TElastix > An interpolator based on the itk::ImageRandomCoordinateSampler C elastix::RandomSampler< TElastix > An interpolator based on the itk::ImageRandomSampler C elastix::RandomSamplerSparseMask< TElastix > An interpolator based on the itk::ImageRandomSamplerSparseMask ► C RecursiveGaussianImageFilter C itk::GPUImageToImageFilter< TInputImage, TOutputImage, RecursiveGaussianImageFilter< TInputImage, TOutputImage > > C ResampleBase This class is the elastix base class for all Resamplers ► C ResampleImageFilter C itk::GPUImageToImageFilter< TInputImage, TOutputImage, ResampleImageFilter< TInputImage, TOutputImage, float, float > > ► C ResamplerBase::ITKBaseType C elastix::MyStandardResampler< TElastix > A resampler based on the itk::ResampleImageFilter ► C Sample C itk::Statistics::ListSampleCArray< TMeasurementVector, TInternalValue > A ListSampleBase that internally uses a CArray, which can be accessed ► C ShrinkImageFilter ► C itk::GPUImageToImageFilter< TInputImage, TOutputImage, ShrinkImageFilter< TInputImage, TOutputImage > > C itk::GPUShrinkImageFilter< TInputImage, TOutputImage > GPU version of ShrinkImageFilter ► C Similarity2DTransform C itk::GPUSimilarity2DTransform< TScalarType, TParentTransform > GPU version of Similarity2DTransform ► C Similarity3DTransform C itk::GPUSimilarity3DTransform< TScalarType, TParentTransform > GPU version of Similarity3DTransform ► C SingleValuedCostFunction C itk::SingleValuedPointSetToPointSetMetric< MetricBase< TElastix >::FixedPointSetType, MetricBase< TElastix >::MovingPointSetType > C itk::ScaledSingleValuedCostFunction A cost function that applies a scaling to another cost function ► C itk::SingleValuedPointSetToPointSetMetric< TFixedPointSet, TMovingPointSet > Computes similarity between two point sets ► C itk::CorrespondingPointsEuclideanDistancePointMetric< MetricBase< TElastix >::FixedPointSetType, MetricBase< TElastix >::MovingPointSetType > C elastix::CorrespondingPointsEuclideanDistanceMetric< TElastix > An metric based on the itk::CorrespondingPointsEuclideanDistancePointMetric ► C itk::MeshPenalty< MetricBase< TElastix >::FixedPointSetType, MetricBase< TElastix >::MovingPointSetType > C elastix::PolydataDummyPenalty< TElastix > A dummy metric to generate transformed meshes at each iteration. This metric does not contribute to the cost function, but provides the options to read vtk polydata meshes from the command-line and write the transformed meshes to disk each iteration or resolution level. The command-line options for input meshes is: -fmesh<[A-Z]><MetricNumber>. This metric can be used as a base for other mesh-based penalties ► C itk::MissingVolumeMeshPenalty< MetricBase< TElastix >::FixedPointSetType, MetricBase< TElastix >::MovingPointSetType > C elastix::MissingStructurePenalty< TElastix > ► C itk::StatisticalShapePointPenalty< MetricBase< TElastix >::FixedPointSetType, MetricBase< TElastix >::MovingPointSetType > C elastix::StatisticalShapePenalty< TElastix > An metric based on the itk::StatisticalShapePointPenalty C itk::CorrespondingPointsEuclideanDistancePointMetric< TFixedPointSet, TMovingPointSet > Computes the Euclidean distance between a moving point-set and a fixed point-set. Correspondence is needed C itk::MeshPenalty< TFixedPointSet, TMovingPointSet > A dummy metric to generate transformed meshes each iteration C itk::MissingVolumeMeshPenalty< TFixedPointSet, TMovingPointSet > Computes the (pseudo) volume of the transformed surface mesh of a structure. C itk::StatisticalShapePointPenalty< TFixedPointSet, TMovingPointSet > Computes the Mahalanobis distance between the transformed shape and a mean shape. A model mean and covariance are required ► C SingleValuedNonLinearOptimizer ► C itk::FullSearchOptimizer An optimizer based on full search C elastix::FullSearch< TElastix > An optimizer based on the itk::FullSearchOptimizer ► C itk::LineSearchOptimizer A base class for LineSearch optimizers C itk::MoreThuenteLineSearchOptimizer ITK version of the MoreThuente line search algorithm ► C itk::RSGDEachParameterApartBaseOptimizer An optimizer based on gradient descent.. ► C itk::RSGDEachParameterApartOptimizer An optimizer based on gradient descent C elastix::RSGDEachParameterApart< TElastix > An optimizer based on gradient descent ► C itk::ScaledSingleValuedNonLinearOptimizer ► C itk::CMAEvolutionStrategyOptimizer A Covariance Matrix Adaptation Evolution Strategy Optimizer C elastix::CMAEvolutionStrategy< TElastix > An optimizer based on the itk::CMAEvolutionStrategyOptimizer ► C itk::ComputeDisplacementDistribution< TFixedImage, TTransform > This is a helper class for the automatic parameter estimation of the ASGD optimizer C itk::ComputePreconditionerUsingDisplacementDistribution< TFixedImage, TTransform > This is a helper class for the automatic estimation of a preconditioner for the FPSGD optimizer. // update below More specifically this class computes the Jacobian terms related to the automatic parameter estimation for the adaptive stochastic gradient descent optimizer. Details can be found in the TMI paper ► C itk::FiniteDifferenceGradientDescentOptimizer An optimizer based on gradient descent .. C elastix::FiniteDifferenceGradientDescent< TElastix > An optimizer based on the itk::FiniteDifferenceGradientDescentOptimizer ► C itk::GenericConjugateGradientOptimizer A set of conjugate gradient algorithms C elastix::ConjugateGradient< TElastix > An optimizer based on the itk::GenericConjugateGradientOptimizer ► C itk::GradientDescentOptimizer2 Implement a gradient descent optimizer ► C itk::StandardGradientDescentOptimizer This class implements a gradient descent optimizer with a decaying gain C elastix::StandardGradientDescent< TElastix > A gradient descent optimizer with a decaying gain ► C itk::AdaptiveStepsizeOptimizer This class implements a gradient descent optimizer with adaptive gain C elastix::AdaGrad< TElastix > A gradient descent optimizer with an adaptive gain ► C itk::AdaptiveStochasticGradientDescentOptimizer This class implements a gradient descent optimizer with adaptive gain C elastix::AdaptiveStochasticGradientDescent< TElastix > A gradient descent optimizer with an adaptive gain ► C itk::PreconditionedASGDOptimizer This class implements a gradient descent optimizer with adaptive gain C elastix::PreconditionedStochasticGradientDescent< TElastix > A gradient descent optimizer with an adaptive gain ► C itk::PreconditionedGradientDescentOptimizer Implement a gradient descent optimizer ► C itk::StochasticPreconditionedGradientDescentOptimizer This class implements a gradient descent optimizer with a decaying gain and preconditioning ► C itk::AdaptiveStochasticPreconditionedGradientDescentOptimizer This class implements a gradient descent optimizer with adaptive gain C elastix::PreconditionedGradientDescent< TElastix > A gradient descent optimizer with a decaying gain ► C itk::QuasiNewtonLBFGSOptimizer ITK version of the lbfgs algorithm .. C elastix::QuasiNewtonLBFGS< TElastix > An optimizer based on the itk::QuasiNewtonLBFGSOptimizer ► C itk::StochasticGradientDescentOptimizer Implement a gradient descent optimizer ► C itk::StandardStochasticGradientOptimizer This class implements a gradient descent optimizer with a decaying gain ► C itk::AdaptiveStochasticLBFGSOptimizer C elastix::AdaptiveStochasticLBFGS< TElastix > A gradient descent optimizer with an adaptive gain ► C itk::StochasticVarianceReducedGradientDescentOptimizer Implement a gradient descent optimizer ► C itk::StandardStochasticVarianceReducedGradientOptimizer This class implements a gradient descent optimizer with a decaying gain ► C itk::AdaptiveStochasticVarianceReducedGradientOptimizer This class implements a gradient descent optimizer with adaptive gain C elastix::AdaptiveStochasticVarianceReducedGradient< TElastix > A gradient descent optimizer with an adaptive gain ► C StatisticsImageFilter C itk::ComputeImageExtremaFilter< TInputImage > Compute min. max, variance and mean of an Image ► C std::exception C elastix::CoreMainGTestUtilities::Exception Simple exception class, to be used by unit tests ► C std::vector C itk::VectorDataContainer< TElementIdentifier, TElement > Define a front-end to the STL "vector" container that conforms to the IndexedContainerInterface ► C TAnyITKTransform C itk::DeformationFieldRegulizer< TAnyITKTransform > This class combines any itk transform with the DeformationFieldTransform ► C TObject C elastix::DefaultConstruct< TObject > ► C Transform C itk::AdvancedTransform< elx::TransformBase< TElastix >::CoordRepType, NDimensions, NDimensions > C itk::AdvancedTransform< double, NDimensions, NDimensions > C itk::AdvancedTransform< double, 3, 3 > C itk::AdvancedTransform< TScalarType, 3, 3 > C itk::AdvancedTransform< double, NInputDimensions, NOutputDimensions > C itk::AdvancedTransform< elx::ElastixBase::CoordRepType, NInputDimensions, NOutputDimensions > C itk::AdvancedTransform< float, NDimensions, NDimensions > C itk::AdvancedTransform< float, NInputDimensions, NOutputDimensions > ► C itk::AdvancedTransform< TScalarType, NDimensions, NDimensions > C itk::KernelTransform2< TScalarType, 3 > ► C itk::KernelTransform2< TScalarType, NDimensions > C itk::ElasticBodyReciprocalSplineKernelTransform2< TScalarType, NDimensions > C itk::ElasticBodySplineKernelTransform2< TScalarType, NDimensions > C itk::ThinPlateR2LogRSplineKernelTransform2< TScalarType, NDimensions > C itk::ThinPlateSplineKernelTransform2< TScalarType, NDimensions > C itk::VolumeSplineKernelTransform2< TScalarType, NDimensions > ► C itk::AdvancedTransform< TScalarType, NInputDimensions, NOutputDimensions > C itk::StackTransform< TScalarType, NInputDimensions, NOutputDimensions > Implements stack of transforms: one for every last dimension index ► C itk::AdvancedTransform< TScalarType, NInputDimensions, NOutputDimensions > Transform maps points, vectors and covariant vectors from an input space to an output space C itk::AdvancedBSplineDeformableTransformBase< double, 3 > C itk::AdvancedBSplineDeformableTransformBase< double, NDimensions > C itk::AdvancedBSplineDeformableTransformBase< float, NDimensions > ► C itk::AdvancedCombinationTransform< elx::TransformBase< TElastix >::CoordRepType, elx::TransformBase< TElastix >::FixedImageDimension > ► C itk::DeformationFieldRegulizer< itk::AdvancedCombinationTransform< elx::TransformBase< TElastix >::CoordRepType, elx::TransformBase< TElastix >::FixedImageDimension > > C elastix::BSplineTransformWithDiffusion< TElastix > This class combines a B-spline transform with the diffusion/filtering of the deformation field C elastix::AdvancedAffineTransformElastix< TElastix > A transform based on the itk::AdvancedMatrixOffsetTransformBase C elastix::AdvancedBSplineTransform< TElastix > A transform based on the itkAdvancedBSplineTransform C elastix::AffineDTITransformElastix< TElastix > A transform based on the itk AffineDTITransform C elastix::AffineLogStackTransform< TElastix > An affine log transform based on the itkStackTransform C elastix::AffineLogTransformElastix< TElastix > This transform is an affine transformation, with a different parametrisation than the usual one C elastix::BSplineStackTransform< TElastix > A B-spline transform based on the itkStackTransform C elastix::DeformationFieldTransform< TElastix > A transform based on a DeformationField C elastix::EulerStackTransform< TElastix > A stack transform based on the itk EulerTransforms C elastix::EulerTransformElastix< TElastix > A transform based on the itk EulerTransforms C elastix::MultiBSplineTransformWithNormal< TElastix > A transform based on the itkMultiBSplineDeformableTransformWithNormal C elastix::RecursiveBSplineTransform< TElastix > A transform based on the itkRecursiveBSplineTransform C elastix::SimilarityTransformElastix< TElastix > A transform based on the itk SimilarityTransforms C elastix::SplineKernelTransform< TElastix > A transform based on the itk::KernelTransform2 C elastix::TranslationStackTransform< TElastix > C elastix::TranslationTransformElastix< TElastix > A transform based on the itk::TranslationTransform C elastix::WeightedCombinationTransformElastix< TElastix > A transform based on the itk::WeightedCombinationTransform C itk::AdvancedCombinationTransform< float, 3 > C itk::AdvancedMatrixOffsetTransformBase< double, 3, 3 > C itk::AdvancedMatrixOffsetTransformBase< double, 2, 2 > C itk::AdvancedMatrixOffsetTransformBase< float, 2, 2 > C itk::AdvancedMatrixOffsetTransformBase< float, 3, 3 > C itk::AdvancedTranslationTransform< float, 3 > C itk::KernelTransform2< double, 3 > ► C itk::StackTransform< elx::ElastixBase::CoordRepType, NDimension, NDimension > C itk::AffineLogStackTransform< NDimension > C itk::BSplineStackTransform< NDimension > C itk::EulerStackTransform< NDimension > C itk::TranslationStackTransform< NDimension > ► C itk::AdvancedBSplineDeformableTransformBase< TScalarType, NDimensions > Base class for deformable transform using a B-spline representation C itk::AdvancedBSplineDeformableTransform< double, 3, 3 > C itk::AdvancedBSplineDeformableTransform< double, 3, 0 > C itk::AdvancedBSplineDeformableTransform< float, 3, 3 > ► C itk::AdvancedBSplineDeformableTransform< TScalarType, NDimensions, VSplineOrder > Deformable transform using a B-spline representation C itk::CyclicBSplineDeformableTransform< TScalarType, NDimensions, VSplineOrder > Deformable transform using a B-spline representation in which the B-spline grid is formulated in a cyclic way C itk::DeformationVectorFieldTransform< TScalarType, NDimensions > An itk transform based on a DeformationVectorField C itk::GPUAdvancedBSplineDeformableTransform< TScalarType, NDimensions, VSplineOrder, TParentTransform > GPU version of AdvancedBSplineDeformableTransform C itk::RecursiveBSplineTransform< TScalarType, NDimensions, VSplineOrder > A recursive implementation of the B-spline transform ► C itk::AdvancedCombinationTransform< TScalarType, NDimensions > This class combines two transforms: an 'initial transform' with a 'current transform' C itk::GPUAdvancedCombinationTransform< TScalarType, NDimensions, TParentTransform > GPU version of AdvancedCombinationTransform C itk::AdvancedIdentityTransform< TScalarType, NDimensions > Implementation of an Identity Transform ► C itk::AdvancedMatrixOffsetTransformBase< TScalarType, NInputDimensions, NOutputDimensions > C itk::AdvancedRigid2DTransform< double > C itk::AdvancedRigid2DTransform< float > C itk::AdvancedRigid3DTransform< double > C itk::AdvancedRigid3DTransform< float > ► C itk::AdvancedRigid2DTransform< TScalarType > AdvancedRigid2DTransform of a vector space (e.g. space coordinates) C itk::AdvancedSimilarity2DTransform< float > ► C itk::AdvancedSimilarity2DTransform< TScalarType > AdvancedSimilarity2DTransform of a vector space (e.g. space coordinates) C itk::GPUAdvancedSimilarity2DTransform< TScalarType, TParentTransform > GPU version of AdvancedSimilarity2DTransform C itk::GPUAdvancedEuler2DTransform< TScalarType, TParentTransform > GPU version of AdvancedEuler2DTransform ► C itk::AdvancedRigid3DTransform< TScalarType > AdvancedRigid3DTransform of a vector space (e.g. space coordinates) C itk::AdvancedEuler3DTransform< float > C itk::AdvancedVersorTransform< double > C itk::AdvancedVersorTransform< float > ► C itk::AdvancedEuler3DTransform< TScalarType > AdvancedEuler3DTransform of a vector space (e.g. space coordinates) C itk::GPUAdvancedEuler3DTransform< TScalarType, TParentTransform > GPU version of AdvancedEuler3DTransform ► C itk::AdvancedVersorTransform< TScalarType > C itk::AdvancedVersorRigid3DTransform< double > C itk::AdvancedVersorRigid3DTransform< float > ► C itk::AdvancedVersorRigid3DTransform< TScalarType > AdvancedVersorRigid3DTransform of a vector space (e.g. space coordinates) C itk::AdvancedSimilarity3DTransform< float > ► C itk::AdvancedSimilarity3DTransform< TScalarType > AdvancedSimilarity3DTransform of a vector space (e.g. space coordinates) C itk::GPUAdvancedSimilarity3DTransform< TScalarType, TParentTransform > GPU version of AdvancedSimilarity3DTransform C itk::AffineDTI2DTransform< TScalarType > C itk::AffineDTI3DTransform< TScalarType > AffineDTI3DTransform of a vector space (e.g. space coordinates) C itk::AffineLogTransform< TScalarType, Dimension > C itk::GPUAdvancedMatrixOffsetTransformBase< TScalarType, NDimensions, TParentTransform > GPU version of AdvancedMatrixOffsetTransformBase ► C itk::AdvancedTranslationTransform< TScalarType, NDimensions > Translation transformation of a vector space (e.g. space coordinates) C itk::GPUAdvancedTranslationTransform< TScalarType, NDimensions, TParentTransform > GPU version of AdvancedTranslationTransform C itk::DeformationFieldInterpolatingTransform< TScalarType, NDimensions, TComponentType > Transform that interpolates a given deformation field C itk::MultiBSplineDeformableTransformWithNormal< TScalarType, NDimensions, VSplineOrder > This transform is a composition of B-spline transformations, allowing sliding motion between different labels C itk::WeightedCombinationTransform< TScalarType, NInputDimensions, NOutputDimensions > Implements a weighted linear combination of multiple transforms C transformix::TRANSFORMIX C TransformixFilter ITK Filter interface to the Transformix library C TranslationStackTransform A Translation transform based on the itkStackTransform ► C TranslationTransform C itk::GPUTranslationTransform< TScalarType, NDimensions, TParentTransform > GPU version of TranslationTransform ► C xoutlibrary::xoutbase Base class for xout C xoutlibrary::xoutcell Stores the input in a string stream C xoutlibrary::xoutmain C xoutlibrary::xoutrow Can easily generate tables C xoutlibrary::xoutsimple Xout class with only basic functionality C Array2D< PRatioType > C Array2D< ScalarRealType > C Array2D< unsigned long > C Array< PDFValueType > C bool C ContinuousIndex< ScalarType, SpaceDimension > C double C CoordRepType C FixedArray< double, Self::MovingImageDimension > C FixedArray< GPUCoefficientImagePointer, NDimensions > C FixedArray< GPUDataManagerPointer, NDimensions > C FixedArray< ScalarType, NDimensions *NDimensions > C FixedArray< ScalarType, NDimensions > C float C ImageRegion< Self::SpaceDimension > C int C Matrix< double, Self::InputSpaceDimension, Self::OutputSpaceDimension > C Matrix< double, Self::OutputSpaceDimension, Self::InputSpaceDimension > C Matrix< float, Self::InputSpaceDimension, Self::OutputSpaceDimension > C Matrix< float, Self::OutputSpaceDimension, Self::InputSpaceDimension > C MovingImagePixelType C Size< VSpaceDimension > C SmartPointer< Self > C SobelOperator< FixedGradientPixelType, Self::FixedImageDimension > C SobelOperator< MovedGradientPixelType, Self::MovedImageDimension > C TimeStamp C TScalarType C unsigned int C Vector< float, Self::SpaceDimension > C Versor< double > C Versor< float > C vnl_matrix< DerivativeValueType > C vnl_matrix< double > C vnl_matrix< RealType > C vnl_matrix< TScalarType > C vnl_matrix_fixed< double, NDimensions, NDimensions > C vnl_matrix_fixed< TScalarType, NDimensions, NDimensions > C vnl_vector< CoordRepType > C vnl_vector< double > C vnl_vector_fixed< double, NDimensions > C vnl_vector_fixed< TScalarType, NDimensions > C ZeroFluxNeumannBoundaryCondition< FixedGradientImageType > C ZeroFluxNeumannBoundaryCondition< MovedGradientImageType >
1.9.6 