 cuda | |
 elastix | |
  AdaptiveStochasticGradientDescent | A gradient descent optimizer with an adaptive gain |
  AdvancedAffineTransformElastix | A transform based on the itk::AdvancedMatrixOffsetTransformBase |
  AdvancedBSplineTransform | A transform based on the itkAdvancedBSplineTransform |
  AdvancedKappaStatisticMetric | An metric based on the itk::AdvancedKappaStatisticImageToImageMetric |
  AdvancedMattesMutualInformationMetric | A metric based on the itk::ParzenWindowMutualInformationImageToImageMetric |
  AdvancedMeanSquaresMetric | An metric based on the itk::AdvancedMeanSquaresImageToImageMetric |
  AdvancedNormalizedCorrelationMetric | An metric based on the itk::AdvancedNormalizedCorrelationImageToImageMetric |
  AffineDTITransformElastix | A transform based on the itk AffineDTITransform |
  BaseComponent | Class that all elastix components should inherit from |
  BaseComponentSE | The BaseComponentSE class is a base class for elastix components that provides some basic functionality |
  BSplineInterpolator | An interpolator based on the itkBSplineInterpolateImageFunction |
  BSplineInterpolatorFloat | An interpolator based on the itk::BSplineInterpolateImageFunction |
  BSplineResampleInterpolator | A resample-interpolator based on B-splines |
  BSplineResampleInterpolatorFloat | A resample-interpolator based on B-splines |
  BSplineStackTransform | A B-spline transform based on the itkStackTransform |
  BSplineTransformWithDiffusion | This class combines a B-spline transform with the diffusion/filtering of the deformation field |
  CMAEvolutionStrategy | An optimizer based on the itk::CMAEvolutionStrategyOptimizer |
  ComponentDatabase | Class that stores the New() functions of all components |
  ComponentLoader | Determines which components (metrics, transforms, etc.) are available |
  Configuration | A class that deals with user given parameters and command line arguments |
  ConjugateGradient | An optimizer based on the itk::GenericConjugateGradientOptimizer |
  ConjugateGradientFRPR | The ConjugateGradientFRPR class |
  CorrespondingPointsEuclideanDistanceMetric | An metric based on the itk::CorrespondingPointsEuclideanDistancePointMetric |
  CUDAResampler | A resampler based on the itk::CUDAResampleImageFilter |
  DeformationFieldTransform | A transform based on a DeformationField |
  DisplacementMagnitudePenalty | A penalty term that penalises ||T(x)-x|| |
  ElastixBase | This class creates an interface for elastix |
   MultipleImageLoader | |
  ElastixMain | A class with all functionality to configure elastix |
  ElastixTemplate | The main elastix class, which connects components and invokes the BeforeRegistration(), BeforeEachResolution(), etc. methods |
  EulerTransformElastix | A transform based on the itk EulerTransforms |
  FiniteDifferenceGradientDescent | An optimizer based on the itk::FiniteDifferenceGradientDescentOptimizer |
  FixedGenericPyramid | A pyramid based on the itk::GenericMultiResolutionPyramidImageFilter |
  FixedImagePyramidBase | This class is the elastix base class for all FixedImagePyramids |
  FixedRecursivePyramid | A pyramid based on the itk::RecursiveMultiResolutionPyramidImageFilter |
  FixedShrinkingPyramid | A pyramid based on the itk::MultiResolutionShrinkPyramidImageFilter |
  FixedSmoothingPyramid | A pyramid based on the itk::MultiResolutionGaussianSmoothingPyramidImageFilter |
  FullSampler | An interpolator based on the itk::ImageFullSampler |
  FullSearch | An optimizer based on the itk::FullSearchOptimizer |
  GradientDifferenceMetric | An metric based on the itk::GradientDifferenceImageToImageMetric |
  GridSampler | An interpolator based on the itk::ImageGridSampler |
  ImageSamplerBase | This class is the elastix base class for all ImageSamplers |
  InstallFunctions | A class with functions that are used to install elastix components |
  InterpolatorBase | This class is the elastix base class for all Interpolators |
  KNNGraphAlphaMutualInformationMetric | A metric based on the itk::KNNGraphAlphaMutualInformationImageToImageMetric |
  LinearInterpolator | An interpolator based on the itkLinearInterpolateImageFunction |
  LinearResampleInterpolator | A linear resample-interpolator |
  MetricBase | This class is the elastix base class for all Metrics |
  MovingImagePyramidBase | This class is the elastix base class for all MovingImagePyramids |
  MovingRecursivePyramid | A pyramid based on the itkRecursiveMultiResolutionPyramidImageFilter |
  MovingShrinkingPyramid | A pyramid based on the itk::MultiResolutionShrinkPyramidImageFilter |
  MovingSmoothingPyramid | A pyramid based on the itkMultiResolutionGaussianSmoothingPyramidImageFilter |
  MultiBSplineTransformWithNormal | A transform based on the itkMultiBSplineDeformableTransformWithNormal |
  MultiInputRandomCoordinateSampler | An interpolator based on the itk::MultiInputImageRandomCoordinateSampler |
  MultiMetricMultiResolutionRegistration | A registration framework based on the itk::MultiMetricMultiResolutionImageRegistrationMethod |
  MultiResolutionRegistration | A registration framework based on the itk::MultiResolutionImageRegistrationMethod |
  MultiResolutionRegistrationWithFeatures | A registration framework based on the itk::MultiResolutionImageRegistrationMethodWithFeatures |
  MutualInformationHistogramMetric | A metric based on the itk::MutualInformationHistogramImageToImageMetric |
  MyStandardResampler | A resampler based on the itk::ResampleImageFilter |
  NearestNeighborInterpolator | An interpolator based on the itkNearestNeighborInterpolateImageFunction |
  NearestNeighborResampleInterpolator | A nearest neighbor resample-interpolator |
  NormalizedGradientCorrelationMetric | An metric based on the itk::NormalizedGradientCorrelationImageToImageMetric |
  NormalizedMutualInformationMetric | A metric based on the itk::ParzenWindowNormalizedMutualInformationImageToImageMetric |
  OptimizerBase | This class is the elastix base class for all Optimizers |
  PatternIntensityMetric | An metric based on the itk::PatternIntensityImageToImageMetric |
  Powell | An optimizer based on Powell.. |
  ProgressCommand | A specialized Command object for updating the progress of a filter |
  QuasiNewtonLBFGS | An optimizer based on the itk::QuasiNewtonLBFGSOptimizer |
  RandomCoordinateSampler | An interpolator based on the itk::ImageRandomCoordinateSampler |
  RandomSampler | An interpolator based on the itk::ImageRandomSampler |
  RandomSamplerSparseMask | An interpolator based on the itk::ImageRandomSamplerSparseMask |
  RayCastInterpolator | An interpolator based on the itkAdvancedRayCastInterpolateImageFunction |
  RayCastResampleInterpolator | An interpolator based on .. |
  ReducedDimensionBSplineInterpolator | An interpolator based on the itkReducedDimensionBSplineInterpolateImageFunction |
  ReducedDimensionBSplineResampleInterpolator | A resample-interpolator based on B-splines which ignores the last dimension |
  RegistrationBase | This class is the elastix base class for all Registration schemes |
  RegularStepGradientDescent | An optimizer based on gradient descent.. |
  ResampleInterpolatorBase | This class is the elastix base class for all ResampleInterpolators |
  ResamplerBase | |
  RSGDEachParameterApart | An optimizer based on gradient descent |
  SimilarityTransformElastix | A transform based on the itk SimilarityTransforms |
  Simplex | An optimizer based on Simplex.. |
  SimultaneousPerturbation | An optimizer based on the itk::SPSAOptimizer |
  SplineKernelTransform | A transform based on the itk::KernelTransform2 |
  StandardGradientDescent | A gradient descent optimizer with a decaying gain |
  TransformBase | This class is the elastix base class for all Transforms |
  TransformBendingEnergyPenalty | A penalty term based on the bending energy of a thin metal sheet |
  TransformixMain | A class with all functionality to configure transformix |
  TransformRigidityPenalty | A penalty term based on non-rigidity |
  TranslationTransformElastix | A transform based on the itk::TranslationTransform |
  VarianceOverLastDimensionMetric | Compute the sum of variances over the slowest varying dimension in the moving image |
  ViolaWellsMutualInformationMetric | A metric based on the itk::MutualInformationImageToImageMetric |
  WeightedCombinationTransformElastix | A transform based on the itk::WeightedCombinationTransform |
 itk | |
  Statistics | |
   ListSampleCArray | A ListSampleBase that internally uses a CArray, which can be accessed |
  AdaptiveStochasticGradientDescentOptimizer | This class implements a gradient descent optimizer with adaptive gain |
  AdvancedBSplineDeformableTransform | Deformable transform using a B-spline representation |
  AdvancedBSplineDeformableTransformBase | Base class for deformable transform using a B-spline representation |
  AdvancedCombinationTransform | This class combines two transforms: an 'initial transform' with a 'current transform' |
  AdvancedEuler3DTransform | AdvancedEuler3DTransform of a vector space (e.g. space coordinates) |
  AdvancedIdentityTransform | Implementation of an Identity Transform |
  AdvancedImageToImageMetric | An extension of the ITK ImageToImageMetric. It is the intended base class for all elastix metrics |
  AdvancedKappaStatisticImageToImageMetric | Computes similarity between two objects to be registered |
  AdvancedMatrixOffsetTransformBase | |
  AdvancedMeanSquaresImageToImageMetric | Compute Mean square difference between two images, based on AdvancedImageToImageMetric.. |
  AdvancedNormalizedCorrelationImageToImageMetric | Computes normalized correlation between two images, based on AdvancedImageToImageMetric.. |
  AdvancedRayCastInterpolateImageFunction | Projective interpolation of an image at specified positions |
  AdvancedRigid2DTransform | AdvancedRigid2DTransform of a vector space (e.g. space coordinates) |
  AdvancedRigid3DTransform | AdvancedRigid3DTransform of a vector space (e.g. space coordinates) |
  AdvancedSimilarity2DTransform | AdvancedSimilarity2DTransform of a vector space (e.g. space coordinates) |
  AdvancedSimilarity3DTransform | AdvancedSimilarity3DTransform of a vector space (e.g. space coordinates) |
  AdvancedTransform | Transform maps points, vectors and covariant vectors from an input space to an output space |
  AdvancedTranslationTransform | Translation transformation of a vector space (e.g. space coordinates) |
  AdvancedVersorRigid3DTransform | AdvancedVersorRigid3DTransform of a vector space (e.g. space coordinates) |
  AdvancedVersorTransform | |
  AffineDTI3DTransform | AffineDTI3DTransform of a vector space (e.g. space coordinates) |
  ANNbdTree | |
  ANNBinaryTreeCreator | |
  ANNBruteForceTree | |
  ANNFixedRadiusTreeSearch | |
  ANNkDTree | |
  ANNPriorityTreeSearch | |
  ANNStandardTreeSearch | |
  BinaryANNTreeBase | |
  BinaryANNTreeSearchBase | |
  BinaryTreeBase | |
  BinaryTreeSearchBase | |
  BSplineDerivativeKernelFunction2 | Derivative of a B-spline kernel used for density estimation and nonparametric regression |
  BSplineInterpolationDerivativeWeightFunction | Returns the weights over the support region used for B-spline interpolation/reconstruction |
  BSplineInterpolationSecondOrderDerivativeWeightFunction | Returns the weights over the support region used for B-spline interpolation/reconstruction |
  BSplineInterpolationWeightFunction2 | Returns the weights over the support region used for B-spline interpolation/reconstruction |
  BSplineInterpolationWeightFunctionBase | Returns the weights over the support region used for B-spline interpolation/reconstruction |
  BSplineKernelFunction2 | B-spline kernel used for density estimation and nonparameteric regression |
  BSplineSecondOrderDerivativeKernelFunction2 | Derivative of a B-spline kernel used for density estimation and nonparametric regression |
  CenteredTransformInitializer2 | 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 |
  CMAEvolutionStrategyOptimizer | A Covariance Matrix Adaptation Evolution Strategy Optimizer |
  CombinationImageToImageMetric | Combines multiple metrics |
  CorrespondingPointsEuclideanDistancePointMetric | Computes the Euclidean distance between a moving point-set and a fixed point-set. Correspondence is needed |
  CyclicBSplineDeformableTransform | Deformable transform using a B-spline representation in which the B-spline grid is formulated in a cyclic way |
  CyclicGridScheduleComputer | This class computes all information about the B-spline grid |
  DeformationFieldInterpolatingTransform | Transform that interpolates a given deformation field |
  DeformationFieldRegulizer | This class combines any itk transform with the DeformationFieldTransform |
  DeformationVectorFieldTransform | An itk transform based on a DeformationVectorField |
  DisplacementMagnitudePenaltyTerm | A cost function that calculates |
  ElasticBodyReciprocalSplineKernelTransform2 | |
  ElasticBodySplineKernelTransform2 | |
  ErodeMaskImageFilter | |
  ExponentialLimiterFunction | A soft limiter |
  FiniteDifferenceGradientDescentOptimizer | An optimizer based on gradient descent .. |
  FullSearchOptimizer | An optimizer based on full search |
  GenericConjugateGradientOptimizer | A set of conjugate gradient algorithms |
  GenericMultiResolutionPyramidImageFilter | Framework for creating images in a multi-resolution pyramid |
  GradientDescentOptimizer2 | Implement a gradient descent optimizer |
  GradientDifferenceImageToImageMetric | Computes similarity between two objects to be registered |
  GridScheduleComputer | This class computes all information about the B-spline grid, given the image information and the desired grid spacing |
  HardLimiterFunction | A hard limiter |
  ImageFileCastWriter | Casts pixel type and writes image data |
  ImageFullSampler | Samples all voxels in the InputImageRegion |
  ImageGridSampler | Samples image voxels on a regular grid |
  ImageMaskSpatialObject2 | Implementation of an image mask as spatial object |
  ImageRandomCoordinateSampler | Samples an image by randomly composing a set of physical coordinates |
  ImageRandomSampler | Samples randomly some voxels of an image |
  ImageRandomSamplerBase | This class is a base class for any image sampler that randomly picks samples |
  ImageRandomSamplerSparseMask | Samples randomly some voxels of an image |
  ImageSample | A class that defines an image sample, which is the coordinates of a point and its value |
  ImageSamplerBase | This class is a base class for any image sampler |
  ImageSpatialObject2 | Implementation of an image as spatial object |
  ImageToImageMetricWithFeatures | Computes similarity between regions of two images |
  ImageToVectorContainerFilter | Base class that takes in an image and pops out a vector container |
  itkCUDAResampleImageFilter | Resample an image on the GPU via a coordinate transform |
   WarningReportType | |
  KernelTransform2 | |
  KNNGraphAlphaMutualInformationImageToImageMetric | Computes similarity between two images to be registered |
  LimiterFunctionBase | Base class for all ITK limiter function objects |
  LineSearchOptimizer | A base class for LineSearch optimizers |
  MeshFileReaderBase | Base class for mesh readers |
  MevisDicomTiffImageIO | |
  MevisDicomTiffImageIOFactory | Create instances of MevisDicomTiffImageIO objects using an object factory |
  MoreThuenteLineSearchOptimizer | ITK version of the MoreThuente line search algorithm |
  MultiBSplineDeformableTransformWithNormal | This transform is a composition of B-spline transformations, allowing sliding motion between different labels |
  MultiInputImageRandomCoordinateSampler | Samples an image by randomly composing a set of physical coordinates |
  MultiInputImageToImageMetricBase | Implements a metric base class that takes multiple inputs |
  MultiInputMultiResolutionImageRegistrationMethodBase | Base class for multi-resolution image registration methods |
  MultiMetricMultiResolutionImageRegistrationMethod | Base class for multi-resolution image registration methods |
  MultiOrderBSplineDecompositionImageFilter | Calculates the B-Spline coefficients of an image. Spline order may be per dimension from 0 to 5 per |
  MultiResolutionGaussianSmoothingPyramidImageFilter | Framework for creating images in a multi-resolution pyramid |
  MultiResolutionImageRegistrationMethod2 | Base class for multi-resolution image registration methods |
  MultiResolutionImageRegistrationMethodWithFeatures | Class for multi-resolution image registration methods |
  MultiResolutionShrinkPyramidImageFilter | Framework for creating images in a multi-resolution pyramid |
  NDImageBase | An image whose dimension can be specified at runtime |
  NDImageTemplate | This class is a specialization of the NDImageBase, which acts as a wrap around an itk::Image |
  NormalizedGradientCorrelationImageToImageMetric | An metric based on the itk::NormalizedGradientCorrelationImageToImageMetric |
  ParabolicErodeDilateImageFilter | Parent class for morphological operations with parabolic structuring elements |
  ParabolicErodeImageFilter | Class for morphological erosion operations with parabolic structuring elements |
  ParameterFileParser | Implements functionality to read a parameter file |
  ParameterMapInterface | Implements functionality to get parameters from a parameter map |
  ParzenWindowHistogramImageToImageMetric | A base class for image metrics based on a joint histogram computed using Parzen Windowing |
  ParzenWindowMutualInformationImageToImageMetric | Computes the mutual information between two images to be registered using the method of Mattes et al |
  ParzenWindowNormalizedMutualInformationImageToImageMetric | Computes the normalized mutual information between two images to be registered using a method based on Thevenaz&Unser [3] |
  PatternIntensityImageToImageMetric | Computes similarity between two objects to be registered |
  QuasiNewtonLBFGSOptimizer | ITK version of the lbfgs algorithm .. |
  ReducedDimensionBSplineInterpolateImageFunction | Evaluates the B-Spline interpolation of an image. Spline order may be from 0 to 5 |
  RSGDEachParameterApartBaseOptimizer | An optimizer based on gradient descent.. |
  RSGDEachParameterApartOptimizer | An optimizer based on gradient descent |
  ScaledSingleValuedCostFunction | A cost function that applies a scaling to another cost function |
  ScaledSingleValuedNonLinearOptimizer | |
  SingleValuedPointSetToPointSetMetric | Computes similarity between two point sets |
  StackTransform | Implements stack of transforms: one for every last dimension index |
  StandardGradientDescentOptimizer | This class implements a gradient descent optimizer with a decaying gain |
  ThinPlateR2LogRSplineKernelTransform2 | |
  ThinPlateSplineKernelTransform2 | |
  TransformBendingEnergyPenaltyTerm | A cost function that calculates the bending energy of a transformation |
  TransformixInputPointFileReader | A reader that understands transformix input point files |
  TransformPenaltyTerm | A cost function that calculates a penalty term on a transformation |
  TransformRigidityPenaltyTerm | A cost function that calculates a rigidity penalty term |
  TransformToDeterminantOfSpatialJacobianSource | Generate the spatial Jacobian from a coordinate transform |
  TransformToSpatialJacobianSource | Generate the spatial Jacobian matrix from a coordinate transform |
  TranslationTransformInitializer | TranslationTransformInitializer is a helper class intended to initialize the translation of a TranslationTransforms |
  UpsampleBSplineParametersFilter | Convenience class for upsampling a B-spline coefficient image |
  VarianceOverLastDimensionImageMetric | Compute the sum of variances over the slowest varying dimension in the moving image |
  VectorContainerSource | A base class for creating an ImageToVectorContainerFilter |
  VectorDataContainer | Define a front-end to the STL "vector" container that conforms to the IndexedContainerInterface |
  VectorMeanDiffusionImageFilter | Applies an averaging filter to an image |
  VolumeSplineKernelTransform2 | |
  WeightedCombinationTransform | Implements a weighted linear combination of multiple transforms |
 tmr | |
  Timer | A class to time the different parts of the registration |
 xoutlibrary | |
  xoutbase | Base class for xout |
  xoutcell | Stores the input in a string stream |
  xoutrow | The xoutrow class can easily generate tables |
  xoutsimple | Xout class with only basic functionality |
 FunctionBase | |
 ImageFileWriter | |
 ImageIOBase | |
 ImageSource | |
 KernelFunctionBase | |
 ResampleBase | This class is the elastix base class for all Resamplers |
 SingleValuedNonLinearOptimizer | |