| Cutl::__InstanceOf< Parent > | |
| Cutl::Functor::Abs< T > | |
| ►Cspams::AbstractMatrix< T > | Abstract matrix class |
| Cspams::Matrix< T > | Dense Matrix class |
| Cspams::ProdMatrix< T > | Class representing the product of two matrices |
| Cspams::SubMatrix< T > | |
| ►Cspams::AbstractMatrixB< T > | Abstract matrix class |
| Cspams::DoubleRowMatrix< T > | Matrix with shifts |
| Cspams::Matrix< T > | Dense Matrix class |
| Cspams::ShiftMatrix< T > | Matrix with shifts |
| Cspams::SpMatrix< T > | Sparse Matrix class |
| Cutl::Functor::Acos< T > | |
| Cutl::Functor::Asin< T > | |
| Csmart_assert::Assert | |
| Csmart_assert::assert_context | |
| Cutl::Functor::Atan< T > | |
| Cutl::Functor::Atan2< T > | |
| Cspams::BinaryHeap< T > | |
| ►CCommand | |
| Citk::CommandProgressUpdate | Observer for progress notification |
| Cutl::Functor::Conj< T > | |
| Citk::Concept::SameInteger< D1, D2 >::Constraints | |
| Cutl::NDArrayBase< T, Dim >::ConstReverseIterator | A const reverse iterator through an array |
| Cutl::Functor::Cos< T > | |
| Cutl::Functor::Cube< T > | |
| ►Cspams::Data< T > | Data class, abstract class, useful in the class image |
| Cspams::Matrix< T > | Dense Matrix class |
| Cspams::SpMatrix< T > | Sparse Matrix class |
| ►CDataObject | |
| Citk::Fiber< TValue > | |
| Citk::FiberTracts< TValue > | |
| ►CDiffusionTensor3D | |
| Citk::DiffusionTensor< TPrecision > | Tensor with some useful functions |
| Cspams::FISTA::ElasticNet< T > | |
| Cspams::Element< T > | |
| Cspams::Element< int > | |
| Citk::Functor::EQUAL< TInput, TArgument, TOutput > | |
| ►CExceptionObject | |
| Citk::SpatiallyDenseSparseVectorImageFileReaderException | Base exception class for IO conflicts |
| Citk::VariableLengthVectorImageFileReaderException | Base exception class for IO conflicts |
| Cutl::Functor::Exp< T > | |
| Cutl::Functor::Exp2< T > | |
| Cutl::Expr< SubType, ValueT > | Base class for expression |
| ►Cutl::Expr< BinaryOpExpr< OP, ScalarExprBase< ValueT >, TRight >, Expr2ValueType< TRight, ScalarExprBase< ValueT > > > | |
| Cutl::BinaryOpExpr< OP, ScalarExprBase< ValueT >, TRight > | |
| ►Cutl::Expr< BinaryOpExpr< OP, ScalarExprBase< ValueT1 >, ScalarExprBase< ValueT2 > >, SuperType< ValueT1, ValueT2 > > | |
| Cutl::BinaryOpExpr< OP, ScalarExprBase< ValueT1 >, ScalarExprBase< ValueT2 > > | |
| ►Cutl::Expr< BinaryOpExpr< OP, TLeft, ScalarExprBase< ValueT > >, Expr2ValueType< TLeft, ScalarExprBase< ValueT > > > | |
| Cutl::BinaryOpExpr< OP, TLeft, ScalarExprBase< ValueT > > | |
| ►Cutl::Expr< BinaryOpExpr< OP, TLeft, TRight >, SuperFloatType< TLeft::ValueType, TRight::ValueType >::type > | |
| Cutl::BinaryOpExpr< OP, TLeft, TRight > | Binary operator expression class |
| ►Cutl::Expr< NDArrayBase< T, Dim >, T > | |
| ►Cutl::NDArrayBase< T, 1 > | |
| Cutl::NDArray< T, 1 > | NDArray<T,1> is a vector class which uses blas mkl |
| ►Cutl::NDArrayBase< T, 2 > | |
| Cutl::NDArray< T, 2 > | NDArray<T,2> is a row-major matrix |
| ►Cutl::NDArrayBase< T, 4 > | |
| Cutl::NDArray< T, 4 > | NDArray<T,4> is a 4th order tensor |
| ►Cutl::NDArrayBase< T, Dim > | Base class for utl::NDArray |
| Cutl::NDArray< double, 2 > | |
| Cutl::NDArray< ValueType, 1 > | |
| Cutl::NDArray< T, Dim > | NDArray is a N-Dimensional array class (row-major, c version) |
| ►Cutl::Expr< ScalarExprBase< ValueT >, ValueT > | |
| Cutl::ScalarExprBase< ValueT > | Scalar expression base class for double and std::complex<double> |
| ►Cutl::Expr< UnaryOpExpr< OP, EType >, EType::ValueType > | |
| Cutl::UnaryOpExpr< OP, EType > | Unary operator expression |
| Cutl::Functor::Floor< T > | |
| Cutl::GradientTable< T > | Gradient table related functions and stored tables |
| Cspams::Graph< T > | |
| Cspams::FISTA::GraphLassoRidge< T > | |
| Cspams::GraphPath< T, Int > | |
| Cspams::GraphPath< T > | |
| Cspams::GraphPathStruct< T > | |
| Cspams::GraphStruct< T > | |
| Cspams::FISTA::GroupLassoL2< T > | |
| Cspams::FISTA::GroupLassoL2_L1< T > | |
| Cspams::FISTA::GroupLassoLINF< T > | |
| Cspams::FISTA::GroupLassoLINF_L1< T > | |
| Cstd::hash< std::vector< T > > | |
| Cutl::__InstanceOf< Parent >::Help< T > | |
| Cutl::__InstanceOf< Parent >::Help< Parent > | |
| ►CImageBase | |
| Citk::SpatiallyDenseSparseVectorImage< TValueType, VImageDimension, TKeyType > | An n-dimensional vector image with a sparse memory model |
| ►CImageRegionIterator | |
| Citk::VectorImageRegionIterator< TImage > | A multi-dimensional iterator templated over image type |
| Citk::VectorImageRegionIterator< Image< TPixel, VImageDimension > > | |
| ►CImageRegionIteratorWithIndex | |
| Citk::VectorImageRegionIteratorWithIndex< TImage > | A multi-dimensional iterator templated over image type. It provides the same interfaces for both itk::Image<T, N+1> and itk::VectorImage<T, N> |
| Citk::VectorImageRegionIteratorWithIndex< Image< TPixel, VImageDimension > > | |
| Citk::VectorImageRegionIteratorWithIndex< Image< VariableLengthVector< TPixel >, 3 > > | |
| Citk::VectorImageRegionIteratorWithIndex< SpatiallyDenseSparseVectorImage< TPixel, VImageDimension > > | |
| ►CImageSource | |
| ►Citk::DWIGeneratorBase< TOutputImage, TScalarImage > | Generate DWI data based on provided parameter file |
| Citk::DWIGenerator< TOutputImage, TScalarImage > | Generate DWI data based on provided parameter file |
| Citk::DWISingleVoxelGenerator< TOutputImage, TScalarImage > | Generate DWI data with the same diffusion parameter set for all voxels. If random mode is used, the diffusion parameters are randomly rotated |
| Citk::DWIReader< TPixelType, VImageDimension > | Load gradient file, b values and DWI files (with optional index file) |
| Citk::DWIWriter< TPixelType, VImageDimension > | Write gradient file, b values and DWI files (with optional index file) |
| Citk::SpatiallyDenseSparseVectorImageFileReader< TOutputImage > | Reads sparse image data from key and value files |
| Citk::VariableLengthVectorImageFileReader< TOutputImage > | Reads variable length vector image data |
| Citk::VTKImageDataToImageFilter< TOutputImage > | Convert VTK image data to an ITK image |
| ►CImageToImageFilter | |
| Citk::AddNoiseToDWIImageFilter< TInputImage, TB0Image, TMaskImage > | Add noise to DWI data |
| Citk::ComposeVectorImageFilter< TInputImage, TOutputImage > | ComposeVectorImageFilter combine several vector images into a vector image |
| ►Citk::MaskedImageToImageFilter< TInputImage, TOutputImage, TMaskImage > | ImageToImageFilter with mask and threaded logger support |
| ►Citk::FunctorBaseVectorImageFilter< TInputImage, TOutputImage, utl::Functor::VectorMultiVariableFunctionWrapper<>, TMaskImage > | |
| Citk::FunctorFromStringImageFilter< TInputImage, TOutputImage, TMaskImage > | Implements vector-valued generic operation on images with the same size |
| ►Citk::FunctorBaseVectorImageFilter< TInputImage, TOutputImage, TFunction, TMaskImage > | Implements vector-valued generic operation on one image |
| Citk::MultiVariableFunctorVectorImageFilter< TInputImage, TOutputImage, TFunction, TMaskImage > | Implements vector-valued generic operation on one image |
| Citk::UnaryFunctorVectorImageFilter< TInputImage, TOutputImage, TFunction, TMaskImage > | Implements vector-valued generic operation on one image |
| Citk::MultiVolumeImageToVectorImageFilter< TInputPixelType, TOutputPixelType, VImageDimension > | Convert Image<TInputPixelType, VImageDimension+1> to VectorImage<TOutputPixelType, VImageDimension> |
| Citk::StructureTensorImageFilter< TInputImage, TOutputImage > | Computes the structure tensor |
| Citk::VectorImageChannelFilter< TInputImage, TOutputImage, TFilter > | TInputImage and TOutputImage are VectorImage, TFilter is an image filter which works for itk::Image. This class performs TFilter on each channel of TInputImage, then compose results into output |
| Citk::VectorImageToMultiVolumeImageFilter< TInputPixelType, TOutputPixelType, VImageDimension > | Convert VectorImage<TOutputPixelType, VImageDimension> to Image<TInputPixelType, VImageDimension+1> |
| ►Citk::MaskedImageToImageFilter< TInputImage, TInputImage > | |
| ►Citk::MeshFromImageImageFilter< TInputImage, TOutputMesh > | Compute mesh from SH coefficients |
| Citk::MeshFromPeaksImageFilter< TInputImage, TOutputMesh > | Generate a mesh from given peaks |
| ►Citk::MeshFromSphericalFunctionImageFilter< TInputImage, TOutputMesh > | Compute mesh from general spherical function |
| ►Citk::MeshFromContinuousSphericalFunctionImageFilter< TInputImage, TOutputMesh > | Compute mesh from continuous spherical function linearly represented by a set of bases |
| Citk::MeshFromDiscreteFiberODFImageFilter< TInputImage, TOutputMesh > | Compute mesh from discrete fiber ODF represented by a set of basis functions |
| Citk::MeshFromSHCoefficientsImageFilter< TInputImage, TOutputMesh > | Compute mesh from SH coefficients |
| Citk::MeshFromSphericalFunctionTessellatedSamplesImageFilter< TInputImage, TOutputMesh > | Compute mesh from spherical samples in the pre-stored tessellated vertices |
| Citk::MeshFromTensorImageFilter< TInputImage, TOutputMesh > | Compute mesh from a tensor image |
| ►Citk::MaskedImageToImageFilter< TInputImage, TOutputImage > | |
| ►Citk::DiffusionModelEstimationImageFilter< TInputImage, TOutputImage > | Base filter for estimation of diffusion models |
| ►Citk::DiffusionModelEstimationInSphericalCoordinateImageFilter< TInputImage, TOutputImage > | Base filter for estimation of diffusion models in spherical coordinates |
| ►Citk::SphericalPolarFourierEstimationImageFilter< TInputImage, TOutputImage > | Estimate the coeffcients of generalized Spherical Polar Fourier basis which can be separated into differe radial basis and sphercial basis |
| Citk::GeneralizedHighOrderTensorImageFilter< TInputImage, TOutputImage > | Estimate the coefficients in GHOT model, which is used for md image estimation |
| Citk::SphericalPolarFourierImageFilter< TInputImage, TOutputImage > | Estimate the coefficients in SPF model |
| ►Citk::FeaturesFromSPFImageFilter< TInputImage, TOutputImage > | Compute some features (DWI/EAP profile, ODFs, scalar indices) from SPF coefficients |
| Citk::ODFFromSPFImageFilter< TInputImage, TOutputImage > | Calculate ODFs from SPF coefficients |
| Citk::ProfileFromSPFImageFilter< TInputImage, TOutputImage > | Calculate DWI/EAP profile from SPF coefficients |
| Citk::ScalarMapFromSPFImageFilter< TInputImage, TOutputImage > | Calculate ODFs from SPF coefficients |
| Cutl::Int_< vcl_size_t > | |
| Csmart_assert::is_null_finder< T > | |
| Csmart_assert::is_null_finder< char * > | |
| Csmart_assert::is_null_finder< const char * > | |
| Citk::Functor::LDIVIDE< TInput, TArgument, TOutput > | |
| ►CLightProcessObject | |
| Citk::FiberTractsReader | |
| Citk::FiberTractsWriter | |
| Citk::MeshFromFiberTractsFilter | Compute mesh from fibers |
| ►Citk::SamplingSchemeQSpaceEstimationFilter< TSamplingType > | Base class for the filters to estimate the sampling scheme in Q-space |
| Citk::SamplingSchemeQSpace1OptEstimationFilter< TSamplingType > | Incremental estimation of single/multi-shell orientations |
| Citk::SamplingSchemeQSpaceIMOCEstimationFilter< TSamplingType > | Estimation of single/multi-shell orientations using Iterative Maximum Overlap Construction (IMOC) |
| Citk::SamplingSchemeQSpaceIncrementalEstimationFilter< TSamplingType > | Incremental estimation of single/multi-shell orientations |
| Citk::SamplingSchemeQSpaceWriter< TSamplingType > | Write orientations and b values (single/multiple shells) into text files |
| Citk::Functor::LINEAR< TInput, TArgument, TOutput > | |
| Cspams::List< T > | |
| Cspams::List< int > | |
| Cspams::ListIterator< T > | |
| Cspams::ListIterator< int > | |
| Citk::Functor::LMINUS< TInput, TArgument, TOutput > | |
| Cutl::Functor::Log< T > | |
| Cutl::Functor::Log10< T > | |
| Cutl::Functor::Log2< T > | |
| Cspams::FISTA::Loss< T, D, E > | |
| ►Cspams::FISTA::Loss< T > | |
| Cspams::FISTA::LogLoss< T, weighted > | |
| Cspams::FISTA::SqLoss< T > | |
| Cspams::FISTA::SqLossMissing< T > | |
| ►Cspams::FISTA::Loss< T, Matrix< T > > | |
| Cspams::FISTA::MultiLogLoss< T > | |
| ►Cspams::FISTA::Loss< T, Matrix< T >, Matrix< T > > | |
| ►Cspams::FISTA::LossMatSup< T, LogLoss< T, weighted > > | |
| Cspams::FISTA::LossMat< T, LogLoss< T, weighted > > | |
| ►Cspams::FISTA::LossMatSup< T, SqLossMissing< T > > | |
| Cspams::FISTA::LossMat< T, SqLossMissing< T > > | |
| Cspams::FISTA::LossCur< T > | |
| ►Cspams::FISTA::LossMatSup< T, L > | |
| Cspams::FISTA::LossMat< T, L > | |
| Cspams::FISTA::SqLossMat< T > | |
| Citk::Functor::LPOWER< TInput, TArgument, TOutput > | |
| Cutl::Functor::LRound< T > | |
| Cutl::Functor::Max< T > | |
| Cspams::MaxFlow< T > | |
| Citk::Functor::MeanDiffusivityFromGHOTCoefficients< TInput, TOutput > | MD value from GHOT coefficients |
| Cutl::Functor::Min< T > | |
| Cspams::MinCostFlow< Int > | |
| Cspams::MinCostFlow< long long > | |
| Cspams::FISTA::MixedL1L2_L1< T > | |
| Cspams::FISTA::MixedL1LINF_L1< T > | |
| Citk::Functor::MultiplyByConstantMatrix< TInput, TMatrix, TOutput > | |
| Citk::Functor::MultiplyByConstantVector< TInput, TConstantVector, TOutput > | |
| Cutl::Functor::Neg< T > | |
| Citk::Functor::NLOG< TInput, TArgument, TOutput > | |
| Citk::Functor::NormalizeVectorImageFunctor< TInput, TOutput > | |
| ►CObject | |
| ►Citk::FunctorTableBase< TFunctor, double, double > | |
| Citk::UnaryFunctorLookUpTable< TFunctor > | Use UnaryFunctorLookUpTable to accelerate evaluation of functions |
| ►Citk::BasisMatrixGenerator< TElement > | Generate basis matrix |
| ►Citk::DiscreteBasisMatrixGenerator< TElement > | Generate basis matrix |
| Citk::TensorBasisMatrixGenerator< TElement > | Generate basis matrix |
| ►Citk::DiffusionModelGenerator< PreciseType > | Generate ground truth DWI/EAP/ODF ets from a given model |
| Citk::CylinderModelGenerator< PreciseType > | Cylinder Model |
| ►Citk::FunctorTableBase< TFunctor, TParameters, TFunctorValue > | Use FunctorTableBase to accelerate evaluation of functions |
| Citk::FunctorHashTable< TFunctor, TParameters, TFunctorValue, THash > | Use FunctorHashTable to accelerate evaluation of functions |
| Citk::SHCoefficientsRotation< T > | Rotate SH coefficient vector by a given rotation matrix |
| ►Citk::SolverBase< TPrecision > | Base class for some optimization solvers using primal-dual updates |
| ►Citk::IterativeSolverBase< TPrecision > | Base class for some optimization solvers using primal-dual updates |
| Citk::L1RegularizedLeastSquaresFISTASolver< TPrecision > | Solve least square problem with L1 regularization using FISTA |
| Citk::L2RegularizedLeastSquaresSolver< TPrecision > | Solve least square problem with L2 regularization |
| Citk::SpamsWeightedLassoSolver< TPrecision > | Solve weighted LASSO using spams |
| Citk::SphereTessellator< TElement > | Tesselates a sphere via subdivision of tetrahedron, octahedron, or icosahedron |
| Citk::SphericalHarmonicsGenerator< PreciseType > | Generate complex and real Spherical Harmonic Basis |
| Citk::SphericalPolarFourierGenerator< PreciseType > | General SPF basis in radial part, SH basis in spherical part |
| Citk::SphericalPolarFourierRadialGenerator< PreciseType > | Radial part of general SPF basis |
| Citk::Functor::ODFNormlizeFunctor< TInput, TOutput > | |
| Citk::Functor::OuterProduct< TInput, TOutput > | |
| Cspams::ParamDictLearn< T > | |
| Cspams::FISTA::ParamFISTA< T > | |
| Cspams::FISTA::ParamReg< T > | |
| Cspams::Path< Int > | |
| Citk::PeakContainerHelper | VariableLengthVector to contain peaks with different storing types |
| Citk::Functor::PLUS< TInput, TArgument, TOutput > | |
| ►CPolyLineParametricPath | |
| Citk::SlowPolyLineParametricPath< VDimension > | Represent a path of line segments through ND Space |
| Cutl::Functor::Pow< T > | |
| ►CProcessObject | |
| Citk::CastImageFileWriter< TInputImage > | Writes image data, after casting, to a single file |
| Citk::CastVectorImageFileWriter< TInputImage > | Writes image data, after casting, to a single file |
| Citk::ImageToVTKImageDataFilter< TInputImage > | Converts an ITK image to VTK image data |
| Citk::RGBImageToVTKImageDataFilter< TInputImage > | Converts an ITK image to VTK image data |
| Citk::SpatiallyDenseSparseVectorImageFileWriter< TInputImage > | Writes sparse vector image data to key and value files |
| Citk::VariableLengthVectorImageFileWriter< TInputImage > | Writes variable length vector image data. std::vector is used to store the variable length vector |
| ►CQVTKWidget | |
| CVTKViewer | |
| Citk::Functor::RDIVIDE< TInput, TArgument, TOutput > | |
| ►Cspams::FISTA::Regularizer< T, D > | |
| Cspams::FISTA::ComposeProx< T, D, RegA, RegB, order, scale_lambda > | |
| ►Cspams::FISTA::Regularizer< T > | |
| Cspams::FISTA::FusedLasso< T > | |
| Cspams::FISTA::GraphLasso< T > | |
| Cspams::FISTA::GraphPathConv< T > | |
| Cspams::FISTA::GraphPathL0< T > | |
| Cspams::FISTA::GroupProx< T, Reg > | |
| Cspams::FISTA::Lasso< T > | |
| Cspams::FISTA::LassoConstraint< T > | |
| Cspams::FISTA::Lzero< T > | |
| Cspams::FISTA::None< T > | |
| Cspams::FISTA::normL2< T > | |
| Cspams::FISTA::normLINF< T > | |
| Cspams::FISTA::ProxMatToVec< T, ProxMat > | |
| Cspams::FISTA::Ridge< T > | |
| Cspams::FISTA::TreeLasso< T > | |
| Cspams::FISTA::TreeLzero< T > | |
| ►Cspams::FISTA::Regularizer< T, Matrix< T > > | |
| Cspams::FISTA::MixedL1L2< T > | |
| Cspams::FISTA::MixedL1LINF< T > | |
| Cspams::FISTA::Rank< T > | |
| Cspams::FISTA::RegMat< T, Reg > | |
| ►Cspams::FISTA::SpecGraphMat< T > | |
| Cspams::FISTA::GraphMult< T > | |
| Cspams::FISTA::MixedL1LINFCR< T > | |
| Cspams::FISTA::TreeMult< T > | |
| Cspams::FISTA::TraceNorm< T > | |
| Cutl::remove_complex< T > | Remove complex: |
| Cutl::NDArrayBase< T, Dim >::ReverseIterator | A reverse iterator through an array |
| Citk::Functor::RMINUS< TInput, TArgument, TOutput > | |
| Citk::Functor::RotateSHCoefficients< TInput, TOutput > | |
| Cutl::Functor::Round< T > | |
| Citk::Functor::RPOWER< TInput, TArgument, TOutput > | |
| Citk::Concept::SameInteger< D1, D2 > | |
| Citk::Functor::SHCoefficientsPower< TInput, TOutput > | |
| Citk::Functor::SHCoefficientsToGFA< TInput, TOutput > | |
| Cutl::Functor::Sign< T > | |
| Cutl::Functor::Sin< T > | |
| Citk::SparseVector< TValueType, TKeyType > | Represents a sparse array |
| Citk::SpatiallyDenseSparseVectorImageNeighborhoodAccessorFunctor< TImage > | Provides accessor interfaces to Access pixels and is meant to be used on pointers to pixels held by the Neighborhood class |
| Citk::SpatiallyDenseSparseVectorImagePixelAccessor< TValueType, TKeyType > | Give access to partial aspects of a type |
| Citk::SpatiallyDenseSparseVectorImagePixelAccessorFunctor< TImageType > | Provides accessor interfaces to Access pixels and is meant to be used by iterators |
| Citk::Functor::SPFScaleFromMeanDiffusivity< TInput, TOutput > | |
| Cspams::FISTA::SplittingFunction< T, F, D, E > | |
| ►Cspams::FISTA::SplittingFunction< T > | |
| Cspams::FISTA::HingeLoss< T > | |
| Cspams::FISTA::SqLoss< T > | |
| ►Cspams::FISTA::SplittingFunction< T, SpMatrix< T > > | |
| Cspams::FISTA::GraphLasso< T > | |
| Cspams::FISTA::None< T > | |
| Cspams::SpVector< T > | Sparse Vector class |
| Cutl::Functor::Sqrt< T > | |
| Cutl::Functor::Square< T > | |
| Cutl::SuperFloatType< T, t > | Float type which can be coverted to |
| Cutl::Superset< T, t > | |
| Cutl::Functor::Tan< T > | |
| Cspams::Timer | Class Timer |
| Citk::Functor::TIMES< TInput, TArgument, TOutput > | |
| Citk::TrackVisHeaderType | |
| Cspams::Trainer< T > | |
| Cspams::Tree_Seq< T > | |
| Cspams::TreeStruct< T > | |
| ►CUnaryFunctorImageFilter | |
| Citk::MeanDiffusivityFromGHOTImageFilter< TInputImage, TOutputImage > | Compute mean diffusivity from GHOT coefficients |
| Citk::MultiplyByConstantMatrixVectorImageFilter< TInputImage, TConstantMatrix, TOutputImage > | In each vxoel, multiply the input vector by a matrix |
| Citk::MultiplyByConstantVectorImageFilter< TInputImage, TConstantVector, TOutputImage > | Multiply input pixels by a constant |
| Citk::NormalizeODFImageFilter< TInputImage, TOutputImage > | Normalize the input ODF such that the output ODF has unit integral. The input ODF can be represented using uniform spheircal samples or SH coefficients |
| Citk::NormalizeVectorImageFilter< TInputImage, TOutputImage > | Pixel-wise vector normalization |
| Citk::OuterProductVectorImageFilter< TInputImage, TOutputImage > | In each vxoel, multiply the input vector by a matrix |
| Citk::RotateSHCoefficientsImageFilter< TInputImage, TOutputImage > | Rotate SH coefficient to all input pixels |
| Citk::SHCoefficientsPowerImageFilter< TInputImage, TOutputImage > | In each vxoel, the input VectorImage is a SH coefficient vector which represents a spherical function. The output VectorImage is another SH coefficient vector whose spherical function is a power of the input function. In formula outputFunction = (inputFunction)^k, where k is a given order. When k==2, then we have closed form of the output SH coefficient vector. When k is not 2, we resample the input spherical function, power it, then refit it using SH basis |
| Citk::SHCoefficientsToGFAImageFilter< TInputImage, TOutputImage > | In each vxoel, calculate gfa from SH coefficients |
| Citk::SPFScaleFromMeanDiffusivityImageFilter< TInputImage, TOutputImage > | Compute SPF scale from mean diffusivity |
| Cspams::Vector< T > | Dense Vector class |
| Cspams::Vector< int > | |
| ►CVectorContainer | |
| ►Citk::SamplingScheme3D< TPixelType > | This class describes sampling in a 3D space (Q space or R space) |
| Citk::SamplingSchemeQSpace< TPixelType > | This class describes sampling in Q space |
| ►Cutl::Functor::VectorFunctorBase< TVector, TOutput > | |
| Cutl::Functor::Compose< TVector, TOutput > | |
| Cutl::Functor::DotProduct< TVector, TOutput > | |
| Cutl::Functor::InfNorm< TVector, TOutput > | |
| Cutl::Functor::MaxValue< TVector, TOutput > | |
| Cutl::Functor::Mean< TVector, TOutput > | |
| Cutl::Functor::Median< TVector, TOutput > | |
| Cutl::Functor::MinValue< TVector, TOutput > | |
| Cutl::Functor::OneNorm< TVector, TOutput > | |
| Cutl::Functor::ScalarFunctorWrapper< TFunctor, TVector, TOutput > | |
| Cutl::Functor::Shred< TVector, TOutput > | Obtain a part of a vector |
| Cutl::Functor::Sum< TVector, TOutput > | |
| Cutl::Functor::TwoNorm< TVector, TOutput > | |
| Cutl::Functor::VectorFunctorWrapper< TFunctor, TVector, TOutput > | |
| Cutl::Functor::VectorMultiVariableFunctionWrapper< TFunction, TVector, TOutput > | |
| Cutl::Functor::VectorUnaryFunctionWrapper< TFunction, TVector, TOutput > | |
| Cutl::Functor::ZeroNorm< TVector, TOutput > | |
| ►Cutl::Functor::VectorFunctorBase< utl::NDArray< double, 1 >, utl::NDArray< double, 1 > > | |
| Cutl::Functor::VectorMultiVariableFunctionWrapper<> | |
| ►Cutl::Functor::VectorFunctorBase< utl::NDArray< T, Dim >, utl::NDArray< T, Dim > > | |
| Cutl::Functor::Abs< utl::NDArray< T, Dim > > | |
| Cutl::Functor::Acos< utl::NDArray< T, Dim > > | |
| Cutl::Functor::Asin< utl::NDArray< T, Dim > > | |
| Cutl::Functor::Atan< utl::NDArray< T, Dim > > | |
| Cutl::Functor::Conj< utl::NDArray< T, Dim > > | |
| Cutl::Functor::Cos< utl::NDArray< T, Dim > > | |
| Cutl::Functor::Cube< utl::NDArray< T, Dim > > | |
| Cutl::Functor::Exp2< utl::NDArray< T, Dim > > | |
| Cutl::Functor::Exp< utl::NDArray< T, Dim > > | |
| Cutl::Functor::Floor< utl::NDArray< T, Dim > > | |
| Cutl::Functor::Log10< utl::NDArray< T, Dim > > | |
| Cutl::Functor::Log2< utl::NDArray< T, Dim > > | |
| Cutl::Functor::Log< utl::NDArray< T, Dim > > | |
| Cutl::Functor::LRound< utl::NDArray< T, Dim > > | |
| Cutl::Functor::Neg< utl::NDArray< T, Dim > > | |
| Cutl::Functor::Round< utl::NDArray< T, Dim > > | |
| Cutl::Functor::Sign< utl::NDArray< T, Dim > > | |
| Cutl::Functor::Sin< utl::NDArray< T, Dim > > | |
| Cutl::Functor::Sqrt< utl::NDArray< T, Dim > > | |
| Cutl::Functor::Square< utl::NDArray< T, Dim > > | |
| Cutl::Functor::Tan< utl::NDArray< T, Dim > > | |
| ►Cutl::Functor::VectorFunctorBase< utl::Vector< T > > | |
| Citk::Functor::SHCoefficientsFit< T > | Fit SH coefficients from spherical function samples |
| ►CvtkObject | |
| Cvtk::vtkPolyDataViewer | Helper class to visualize vtkPolyData |
1.8.11
