ITK  5.4.0
Insight Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Protected Types | Protected Member Functions | Private Attributes | List of all members
itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType > Class Template Reference

#include <itkDiffusionTensor3DReconstructionImageFilter.h>

Detailed Description

template<typename TReferenceImagePixelType, typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
class itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >

This class takes as input one or more reference image (acquired in the absence of diffusion sensitizing gradients) and 'n' diffusion weighted images and their gradient directions and computes an image of tensors. (with DiffusionTensor3D as the pixel type). Once that is done, you can apply filters on this tensor image to compute FA, ADC, RGB weighted maps etc.

Inputs and Usage
There are two ways to use this class. When you have one reference image and n gradient images, you would use the class as
filter->SetReferenceImage( image0 );
filter->AddGradientImage( direction1, image1 );
filter->AddGradientImage( direction2, image2 );
...
When you have the 'n' gradient and one or more reference images in a single multi-component image (VectorImage), you can specify the images simply as
filter->SetGradientImage( directionsContainer, vectorImage );
Note that this method is used to specify both the reference and gradient images. This is convenient when the DWI images are read in using the NRRD format. Like the Nrrd format, the reference images are those components of the vectorImage whose gradient direction is (0,0,0). If more than one reference image is present, they are averaged prior to applying the Stejskal-Tanner equations.
Outputs
The output image is an image of Tensors:
Image< DiffusionTensor3D< TTensorPixelType >, 3 >
Parameters
  • Threshold - Threshold on the reference image data. The output tensor will be a null tensor for pixels in the reference image that have a value less than this.
  • BValue - See the documentation of SetBValue().
  • At least 6 gradient images must be specified for the filter to be able to run.
Template parameters
The class is templated over the pixel type of the reference and gradient images (expected to be scalar data types) and the internal representation of the DiffusionTensor3D pixel (double, float etc).
References:
  • [1] C.F.Westin, S.E.Maier, H.Mamata, A.Nabavi, F.A.Jolesz, R.Kikinis, "Processing and visualization for Diffusion tensor MRI", Medical image Analysis, 2002, pp 93-108.
  • [2] A Dual Tensor Basis Solution to the Stejskal-Tanner Equations for DT-MRI
Warning
Although this filter has been written to support multiple threads, please set the number of threads to 1.
filter->SetNumberOfWorkUnits(1);
This is due to buggy code in netlib/dsvdc, that is called by vnl_svd. (used to compute the pseudo-inverse to find the dual tensor basis).
Author
Xiaodong Tao, GE, for contributing parts of this class.
Casey Goodlet, UNC for patches to support multiple baseline images and other improvements.
Note
This work is part of the National Alliance for Medical image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149.
Examples and Datasets
Sample DTI datasets may be obtained from
*   \li ftp://public.kitware.com/pub/namic/DTI/Data/dwi.nhdr
*   \li ftp://public.kitware.com/pub/namic/DTI/Data/dwi.img.gz ( gunzip this )
* 
See also
DiffusionTensor3D SymmetricSecondRankTensor

Definition at line 149 of file itkDiffusionTensor3DReconstructionImageFilter.h.

+ Inheritance diagram for itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >:
+ Collaboration diagram for itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >:

Public Types

using CoefficientMatrixType = vnl_matrix< double >
 
using ConstPointer = SmartPointer< const Self >
 
using GradientDirectionContainerType = VectorContainer< unsigned int, GradientDirectionType >
 
using GradientDirectionType = vnl_vector_fixed< double, 3 >
 
using GradientImagesType = VectorImage< GradientPixelType, 3 >
 
using GradientImageType = Image< GradientPixelType, 3 >
 
using GradientPixelType = TGradientImagePixelType
 
using MaskImageType = TMaskImageType
 
using MaskSpatialObjectType = SpatialObject< 3 >
 
using OutputImageType = TensorImageType
 
using Pointer = SmartPointer< Self >
 
using ReferenceImageType = typename Superclass::InputImageType
 
using ReferencePixelType = TReferenceImagePixelType
 
using Self = DiffusionTensor3DReconstructionImageFilter
 
using Superclass = ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >
 
using TensorBasisMatrixType = vnl_matrix_fixed< double, 6, 6 >
 
using TensorImageType = Image< TensorPixelType, 3 >
 
using TensorPixelType = DiffusionTensor3D< TTensorPixelType >
 
- Public Types inherited from itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >
using ConstPointer = SmartPointer< const Self >
 
using InputImageConstPointer = typename InputImageType::ConstPointer
 
using InputImagePixelType = typename InputImageType::PixelType
 
using InputImagePointer = typename InputImageType::Pointer
 
using InputImageRegionType = typename InputImageType::RegionType
 
using InputImageType = Image< TReferenceImagePixelType, 3 >
 
using Pointer = SmartPointer< Self >
 
using Self = ImageToImageFilter
 
using Superclass = ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >
 
- Public Types inherited from itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >
using ConstPointer = SmartPointer< const Self >
 
using DataObjectIdentifierType = Superclass::DataObjectIdentifierType
 
using DataObjectPointer = DataObject::Pointer
 
using DataObjectPointerArraySizeType = Superclass::DataObjectPointerArraySizeType
 
using OutputImagePixelType = typename OutputImageType::PixelType
 
using OutputImagePointer = typename OutputImageType::Pointer
 
using OutputImageRegionType = typename OutputImageType::RegionType
 
using OutputImageType = Image< DiffusionTensor3D< TTensorPixelType >, 3 >
 
using Pointer = SmartPointer< Self >
 
using Self = ImageSource
 
using Superclass = ProcessObject
 
- Public Types inherited from itk::ProcessObject
using ConstPointer = SmartPointer< const Self >
 
using DataObjectIdentifierType = DataObject::DataObjectIdentifierType
 
using DataObjectPointer = DataObject::Pointer
 
using DataObjectPointerArray = std::vector< DataObjectPointer >
 
using DataObjectPointerArraySizeType = DataObjectPointerArray::size_type
 
using MultiThreaderType = MultiThreaderBase
 
using NameArray = std::vector< DataObjectIdentifierType >
 
using Pointer = SmartPointer< Self >
 
using Self = ProcessObject
 
using Superclass = Object
 
- Public Types inherited from itk::Object
using ConstPointer = SmartPointer< const Self >
 
using Pointer = SmartPointer< Self >
 
using Self = Object
 
using Superclass = LightObject
 
- Public Types inherited from itk::LightObject
using ConstPointer = SmartPointer< const Self >
 
using Pointer = SmartPointer< Self >
 
using Self = LightObject
 

Public Member Functions

virtual ReferenceImageTypeGetReferenceImage ()
 
 itkOverrideGetNameOfClassMacro (DiffusionTensor3DReconstructionImageFilter)
 
void SetGradientImage (GradientDirectionContainerType *, const GradientImagesType *gradientImage)
 
void SetMaskImage (MaskImageType *maskImage)
 
void SetMaskSpatialObject (MaskSpatialObjectType *maskSpatialObject)
 
void SetReferenceImage (ReferenceImageType *referenceImage)
 
void AddGradientImage (const GradientDirectionType &, const GradientImageType *gradientImage)
 
const GradientImageTypeGetGradientImage (unsigned int index) const
 
virtual GradientDirectionType GetGradientDirection (unsigned int idx) const
 
virtual void SetThreshold (ReferencePixelType _arg)
 
virtual ReferencePixelType GetThreshold () const
 
virtual void SetBValue (TTensorPixelType _arg)
 
virtual const TTensorPixelType & GetBValue () const
 
- Public Member Functions inherited from itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >
const InputImageTypeGetInput () const
 
const InputImageTypeGetInput (unsigned int idx) const
 
 itkOverrideGetNameOfClassMacro (ImageToImageFilter)
 
void PopBackInput () override
 
void PopFrontInput () override
 
virtual void PushBackInput (const InputImageType *input)
 
virtual void PushFrontInput (const InputImageType *input)
 
virtual void SetInput (const DataObjectIdentifierType &key, DataObject *input)
 
virtual void SetInput (const InputImageType *input)
 
virtual void SetInput (unsigned int, const Image< TReferenceImagePixelType, 3 > *image)
 
virtual void SetCoordinateTolerance (double _arg)
 
virtual double GetCoordinateTolerance () const
 
virtual void SetDirectionTolerance (double _arg)
 
virtual double GetDirectionTolerance () const
 
- Public Member Functions inherited from itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >
OutputImageTypeGetOutput (unsigned int idx)
 
 itkOverrideGetNameOfClassMacro (ImageSource)
 
OutputImageTypeGetOutput ()
 
const OutputImageTypeGetOutput () const
 
virtual void GraftOutput (DataObject *graft)
 
virtual void GraftOutput (const DataObjectIdentifierType &key, DataObject *graft)
 
virtual void GraftNthOutput (unsigned int idx, DataObject *graft)
 
ProcessObject::DataObjectPointer MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx) override
 
ProcessObject::DataObjectPointer MakeOutput (const ProcessObject::DataObjectIdentifierType &) override
 
- Public Member Functions inherited from itk::ProcessObject
virtual void AbortGenerateDataOn ()
 
virtual void EnlargeOutputRequestedRegion (DataObject *)
 
virtual const bool & GetAbortGenerateData () const
 
DataObjectPointerArray GetIndexedInputs ()
 
DataObjectPointerArray GetIndexedOutputs ()
 
NameArray GetInputNames () const
 
DataObjectPointerArray GetInputs ()
 
MultiThreaderTypeGetMultiThreader () const
 
DataObjectPointerArraySizeType GetNumberOfIndexedInputs () const
 
DataObjectPointerArraySizeType GetNumberOfIndexedOutputs () const
 
DataObjectPointerArraySizeType GetNumberOfInputs () const
 
DataObjectPointerArraySizeType GetNumberOfOutputs () const
 
virtual DataObjectPointerArraySizeType GetNumberOfValidRequiredInputs () const
 
NameArray GetOutputNames () const
 
DataObjectPointerArray GetOutputs ()
 
virtual float GetProgress () const
 
NameArray GetRequiredInputNames () const
 
bool HasInput (const DataObjectIdentifierType &key) const
 
bool HasOutput (const DataObjectIdentifierType &key) const
 
void IncrementProgress (float increment)
 
 itkOverrideGetNameOfClassMacro (ProcessObject)
 
virtual void PrepareOutputs ()
 
virtual void PropagateRequestedRegion (DataObject *output)
 
virtual void ResetPipeline ()
 
virtual void SetAbortGenerateData (bool _arg)
 
void SetMultiThreader (MultiThreaderType *threader)
 
virtual void Update ()
 
virtual void UpdateLargestPossibleRegion ()
 
virtual void UpdateOutputData (DataObject *output)
 
virtual void UpdateOutputInformation ()
 
void UpdateProgress (float progress)
 
virtual void SetReleaseDataFlag (bool val)
 
virtual bool GetReleaseDataFlag () const
 
void ReleaseDataFlagOn ()
 
void ReleaseDataFlagOff ()
 
virtual void SetReleaseDataBeforeUpdateFlag (bool _arg)
 
virtual const bool & GetReleaseDataBeforeUpdateFlag () const
 
virtual void ReleaseDataBeforeUpdateFlagOn ()
 
virtual void SetNumberOfWorkUnits (ThreadIdType _arg)
 
virtual const ThreadIdTypeGetNumberOfWorkUnits () const
 
- Public Member Functions inherited from itk::Object
unsigned long AddObserver (const EventObject &event, Command *)
 
unsigned long AddObserver (const EventObject &event, Command *) const
 
unsigned long AddObserver (const EventObject &event, std::function< void(const EventObject &)> function) const
 
LightObject::Pointer CreateAnother () const override
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary ()
 
const MetaDataDictionaryGetMetaDataDictionary () const
 
virtual ModifiedTimeType GetMTime () const
 
virtual const TimeStampGetTimeStamp () const
 
bool HasObserver (const EventObject &event) const
 
void InvokeEvent (const EventObject &)
 
void InvokeEvent (const EventObject &) const
 
 itkOverrideGetNameOfClassMacro (Object)
 
virtual void Modified () const
 
void Register () const override
 
void RemoveAllObservers ()
 
void RemoveObserver (unsigned long tag)
 
void SetDebug (bool debugFlag) const
 
void SetReferenceCount (int) override
 
void UnRegister () const noexcept override
 
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
 
void SetMetaDataDictionary (MetaDataDictionary &&rrhs)
 
virtual void SetObjectName (std::string _arg)
 
virtual const std::string & GetObjectName () const
 
- Public Member Functions inherited from itk::LightObject
Pointer Clone () const
 
virtual void Delete ()
 
virtual int GetReferenceCount () const
 
 itkVirtualGetNameOfClassMacro (LightObject)
 
void Print (std::ostream &os, Indent indent=0) const
 

Static Public Member Functions

static Pointer New ()
 
- Static Public Member Functions inherited from itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >
static double GetGlobalDefaultCoordinateTolerance ()
 
static double GetGlobalDefaultDirectionTolerance ()
 
static void SetGlobalDefaultCoordinateTolerance (double)
 
static void SetGlobalDefaultDirectionTolerance (double)
 
- Static Public Member Functions inherited from itk::Object
static bool GetGlobalWarningDisplay ()
 
static void GlobalWarningDisplayOff ()
 
static void GlobalWarningDisplayOn ()
 
static Pointer New ()
 
static void SetGlobalWarningDisplay (bool val)
 
- Static Public Member Functions inherited from itk::LightObject
static void BreakOnError ()
 
static Pointer New ()
 

Protected Types

using GradientImageTypeEnumeration = DiffusionTensor3DReconstructionImageFilterEnums::GradientImageFormat
 
- Protected Types inherited from itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >
using InputToOutputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::OutputImageDimension, Self::InputImageDimension >
 
using OutputToInputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::InputImageDimension, Self::OutputImageDimension >
 

Protected Member Functions

void BeforeThreadedGenerateData () override
 
void ComputeTensorBasis ()
 
 DiffusionTensor3DReconstructionImageFilter ()
 
void DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread) override
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
void VerifyPreconditions () ITKv5_CONST override
 
 ~DiffusionTensor3DReconstructionImageFilter () override=default
 
- Protected Member Functions inherited from itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >
virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
 
virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
 
void GenerateInputRequestedRegion () override
 
 ImageToImageFilter ()
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
void VerifyInputInformation () ITKv5_CONST override
 
 ~ImageToImageFilter () override=default
 
void PushBackInput (const DataObject *input) override
 
void PushFrontInput (const DataObject *input) override
 
- Protected Member Functions inherited from itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >
virtual void AfterThreadedGenerateData ()
 
virtual void AllocateOutputs ()
 
void ClassicMultiThread (ThreadFunctionType callbackFunction)
 
void GenerateData () override
 
virtual const ImageRegionSplitterBaseGetImageRegionSplitter () const
 
 ImageSource ()
 
virtual unsigned int SplitRequestedRegion (unsigned int i, unsigned int pieces, OutputImageRegionType &splitRegion)
 
 ~ImageSource () override=default
 
virtual void ThreadedGenerateData (const OutputImageRegionType &region, ThreadIdType threadId)
 
virtual bool GetDynamicMultiThreading () const
 
virtual void SetDynamicMultiThreading (bool _arg)
 
virtual void DynamicMultiThreadingOn ()
 
- Protected Member Functions inherited from itk::ProcessObject
virtual void AddInput (DataObject *input)
 
void AddOptionalInputName (const DataObjectIdentifierType &)
 
void AddOptionalInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
 
virtual void AddOutput (DataObject *output)
 
bool AddRequiredInputName (const DataObjectIdentifierType &)
 
bool AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
 
virtual void CacheInputReleaseDataFlags ()
 
virtual void GenerateOutputInformation ()
 
virtual void GenerateOutputRequestedRegion (DataObject *output)
 
DataObjectGetInput (const DataObjectIdentifierType &key)
 
const DataObjectGetInput (const DataObjectIdentifierType &key) const
 
virtual const DataObjectPointerArraySizeTypeGetNumberOfRequiredInputs () const
 
virtual const DataObjectPointerArraySizeTypeGetNumberOfRequiredOutputs () const
 
bool IsIndexedInputName (const DataObjectIdentifierType &) const
 
bool IsIndexedOutputName (const DataObjectIdentifierType &) const
 
bool IsRequiredInputName (const DataObjectIdentifierType &) const
 
DataObjectPointerArraySizeType MakeIndexFromInputName (const DataObjectIdentifierType &name) const
 
DataObjectPointerArraySizeType MakeIndexFromOutputName (const DataObjectIdentifierType &name) const
 
DataObjectIdentifierType MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const
 
DataObjectIdentifierType MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const
 
 ProcessObject ()
 
virtual void PropagateResetPipeline ()
 
virtual void ReleaseInputs ()
 
virtual void RemoveInput (const DataObjectIdentifierType &key)
 
virtual void RemoveInput (DataObjectPointerArraySizeType)
 
virtual void RemoveOutput (const DataObjectIdentifierType &key)
 
virtual void RemoveOutput (DataObjectPointerArraySizeType idx)
 
bool RemoveRequiredInputName (const DataObjectIdentifierType &)
 
virtual void RestoreInputReleaseDataFlags ()
 
virtual void SetInput (const DataObjectIdentifierType &key, DataObject *input)
 
virtual void SetNthInput (DataObjectPointerArraySizeType idx, DataObject *input)
 
virtual void SetNthOutput (DataObjectPointerArraySizeType idx, DataObject *output)
 
void SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)
 
void SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)
 
virtual void SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
 
virtual void SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
 
virtual void SetOutput (const DataObjectIdentifierType &name, DataObject *output)
 
virtual void SetPrimaryInput (DataObject *object)
 
virtual void SetPrimaryOutput (DataObject *object)
 
void SetRequiredInputNames (const NameArray &)
 
 ~ProcessObject () override
 
DataObjectGetInput (DataObjectPointerArraySizeType idx)
 
const DataObjectGetInput (DataObjectPointerArraySizeType idx) const
 
DataObjectGetPrimaryInput ()
 
const DataObjectGetPrimaryInput () const
 
virtual void SetPrimaryInputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryInputName () const
 
DataObjectGetOutput (const DataObjectIdentifierType &key)
 
const DataObjectGetOutput (const DataObjectIdentifierType &key) const
 
virtual void SetPrimaryOutputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryOutputName () const
 
DataObjectGetOutput (DataObjectPointerArraySizeType i)
 
const DataObjectGetOutput (DataObjectPointerArraySizeType i) const
 
DataObjectGetPrimaryOutput ()
 
const DataObjectGetPrimaryOutput () const
 
virtual bool GetThreaderUpdateProgress () const
 
virtual void ThreaderUpdateProgressOn ()
 
virtual void SetThreaderUpdateProgress (bool arg)
 
- Protected Member Functions inherited from itk::Object
 Object ()
 
bool PrintObservers (std::ostream &os, Indent indent) const
 
virtual void SetTimeStamp (const TimeStamp &timeStamp)
 
 ~Object () override
 
- Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer InternalClone () const
 
 LightObject ()
 
virtual void PrintHeader (std::ostream &os, Indent indent) const
 
virtual void PrintTrailer (std::ostream &os, Indent indent) const
 
virtual ~LightObject ()
 

Private Attributes

CoefficientMatrixType m_BMatrix {}
 
TTensorPixelType m_BValue {}
 
GradientDirectionContainerType::Pointer m_GradientDirectionContainer {}
 
GradientImageTypeEnumeration m_GradientImageTypeEnumeration {}
 
bool m_MaskImagePresent {}
 
unsigned int m_NumberOfBaselineImages {}
 
unsigned int m_NumberOfGradientDirections {}
 
TensorBasisMatrixType m_TensorBasis {}
 
ReferencePixelType m_Threshold {}
 

Additional Inherited Members

- Static Public Attributes inherited from itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >
static constexpr unsigned int InputImageDimension
 
static constexpr unsigned int OutputImageDimension
 
- Static Public Attributes inherited from itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >
static constexpr unsigned int OutputImageDimension
 
- Static Protected Member Functions inherited from itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >
static const ImageRegionSplitterBaseGetGlobalDefaultSplitter ()
 
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION ThreaderCallback (void *arg)
 
- Static Protected Member Functions inherited from itk::ProcessObject
static constexpr float progressFixedToFloat (uint32_t fixed)
 
static uint32_t progressFloatToFixed (float f)
 
- Protected Attributes inherited from itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >
bool m_DynamicMultiThreading
 
- Protected Attributes inherited from itk::ProcessObject
TimeStamp m_OutputInformationMTime {}
 
bool m_Updating {}
 
- Protected Attributes inherited from itk::LightObject
std::atomic< int > m_ReferenceCount {}
 

Member Typedef Documentation

◆ CoefficientMatrixType

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
using itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::CoefficientMatrixType = vnl_matrix<double>

◆ ConstPointer

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
using itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::ConstPointer = SmartPointer<const Self>

◆ GradientDirectionContainerType

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
using itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::GradientDirectionContainerType = VectorContainer<unsigned int, GradientDirectionType>

Container to hold gradient directions of the 'n' DW measurements

Definition at line 205 of file itkDiffusionTensor3DReconstructionImageFilter.h.

◆ GradientDirectionType

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
using itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::GradientDirectionType = vnl_vector_fixed<double, 3>

Holds each magnetic field gradient used to acquire one DWImage

Definition at line 202 of file itkDiffusionTensor3DReconstructionImageFilter.h.

◆ GradientImagesType

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
using itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::GradientImagesType = VectorImage<GradientPixelType, 3>

An alternative type alias defining one (of the many) gradient images. It will be assumed that the vectorImage has the same dimension as the Reference image and a vector length parameter of n (number of gradient directions)

Definition at line 188 of file itkDiffusionTensor3DReconstructionImageFilter.h.

◆ GradientImageType

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
using itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::GradientImageType = Image<GradientPixelType, 3>

Typedef defining one (of the many) gradient images.

Definition at line 182 of file itkDiffusionTensor3DReconstructionImageFilter.h.

◆ GradientImageTypeEnumeration

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
using itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::GradientImageTypeEnumeration = DiffusionTensor3DReconstructionImageFilterEnums::GradientImageFormat
protected

Enables backwards compatibility for enum values

Definition at line 323 of file itkDiffusionTensor3DReconstructionImageFilter.h.

◆ GradientPixelType

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
using itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::GradientPixelType = TGradientImagePixelType

◆ MaskImageType

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
using itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::MaskImageType = TMaskImageType

The type for the optional mask image

Definition at line 194 of file itkDiffusionTensor3DReconstructionImageFilter.h.

◆ MaskSpatialObjectType

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
using itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::MaskSpatialObjectType = SpatialObject<3>

The type for the optional SpatialObject for masking

Definition at line 191 of file itkDiffusionTensor3DReconstructionImageFilter.h.

◆ OutputImageType

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
using itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::OutputImageType = TensorImageType

◆ Pointer

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
using itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::Pointer = SmartPointer<Self>

◆ ReferenceImageType

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
using itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::ReferenceImageType = typename Superclass::InputImageType

Reference image data, This image is acquired in the absence of a diffusion sensitizing field gradient

Definition at line 173 of file itkDiffusionTensor3DReconstructionImageFilter.h.

◆ ReferencePixelType

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
using itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::ReferencePixelType = TReferenceImagePixelType

◆ Self

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
using itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::Self = DiffusionTensor3DReconstructionImageFilter

◆ Superclass

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
using itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::Superclass = ImageToImageFilter<Image<TReferenceImagePixelType, 3>, Image<DiffusionTensor3D<TTensorPixelType>, 3> >

◆ TensorBasisMatrixType

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
using itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::TensorBasisMatrixType = vnl_matrix_fixed<double, 6, 6>

Holds the tensor basis coefficients G_k

Definition at line 197 of file itkDiffusionTensor3DReconstructionImageFilter.h.

◆ TensorImageType

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
using itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::TensorImageType = Image<TensorPixelType, 3>

◆ TensorPixelType

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
using itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::TensorPixelType = DiffusionTensor3D<TTensorPixelType>

Constructor & Destructor Documentation

◆ DiffusionTensor3DReconstructionImageFilter()

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::DiffusionTensor3DReconstructionImageFilter ( )
protected

◆ ~DiffusionTensor3DReconstructionImageFilter()

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::~DiffusionTensor3DReconstructionImageFilter ( )
overrideprotecteddefault

Member Function Documentation

◆ AddGradientImage()

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
void itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::AddGradientImage ( const GradientDirectionType ,
const GradientImageType gradientImage 
)

Set method to add a gradient direction and its corresponding image.

◆ BeforeThreadedGenerateData()

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
void itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::BeforeThreadedGenerateData ( )
overrideprotectedvirtual

If an imaging filter needs to perform processing after the buffer has been allocated but before threads are spawned, the filter can can provide an implementation for BeforeThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.

Reimplemented from itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >.

◆ ComputeTensorBasis()

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
void itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::ComputeTensorBasis ( )
protected

◆ DynamicThreadedGenerateData()

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
void itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::DynamicThreadedGenerateData ( const OutputImageRegionType outputRegionForThread)
overrideprotectedvirtual

If an imaging filter can be implemented as a multithreaded algorithm, the filter will provide an implementation of ThreadedGenerateData() or DynamicThreadedGenerateData(). This superclass will automatically split the output image into a number of pieces, spawn multiple threads, and call (Dynamic)ThreadedGenerateData() in each thread. Prior to spawning threads, the BeforeThreadedGenerateData() method is called. After all the threads have completed, the AfterThreadedGenerateData() method is called. If an image processing filter cannot support threading, that filter should provide an implementation of the GenerateData() method instead of providing an implementation of (Dynamic)ThreadedGenerateData(). If a filter provides a GenerateData() method as its implementation, then the filter is responsible for allocating the output data. If a filter provides a (Dynamic)ThreadedGenerateData() method as its implementation, then the output memory will allocated automatically by this superclass. The (Dynamic)ThreadedGenerateData() method should only produce the output specified by "outputThreadRegion" parameter. (Dynamic)ThreadedGenerateData() cannot write to any other portion of the output image (as this is responsibility of a different thread).

DynamicThreadedGenerateData() is the newer variant without threadId, and is the preferred signature, which is called by default. This variant can split the requested region into different number of pieces depending on current multi-processing load, which allows better load balancing. The non-dynamic (also known as classic) ThreadedGenerateData() signature has threadId, and number of pieces to be split into is known in advance. It is activated by calling this->DynamicMultiThreadingOff(); in derived class constructor. It should be used when the multi-threaded algorithm needs to pre-allocate some data structure with size dependent on the number of pieces (also known as chunks, work units, and sometimes also incorrectly as threads). Only PlatformMultiThreader guarantees that each piece will be processed in its own specific thread. Pool and TBB multi-threaders maintain a pool of threads (normally equal to number of processing cores) which they use to process the pieces. This normally results in a single thread being reused to process multiple work units.

See also
GenerateData(), SplitRequestedRegion()

Reimplemented from itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >.

◆ GetBValue()

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
virtual const TTensorPixelType& itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::GetBValue ( ) const
virtual

The BValue \( (s/mm^2) \) value used in normalizing the tensors to physically meaningful units. See equation (24) of the first reference for a description of how this is applied to the tensor estimation. Equation (1) of the same reference describes the physical significance.

◆ GetGradientDirection()

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
virtual GradientDirectionType itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::GetGradientDirection ( unsigned int  idx) const
inlinevirtual

Return the gradient direction. idx is 0 based

Definition at line 249 of file itkDiffusionTensor3DReconstructionImageFilter.h.

◆ GetGradientImage()

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
const GradientImageType* itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::GetGradientImage ( unsigned int  index) const

Set method to add a gradient direction and its corresponding image.

◆ GetReferenceImage()

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
virtual ReferenceImageType* itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::GetReferenceImage ( )
inlinevirtual

Get reference image

Definition at line 242 of file itkDiffusionTensor3DReconstructionImageFilter.h.

References itk::ProcessObject::GetInput().

◆ GetThreshold()

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
virtual ReferencePixelType itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::GetThreshold ( ) const
virtual

Threshold on the reference image data. The output tensor will be a null tensor for pixels in the reference image that have a value less than this threshold.

◆ itkOverrideGetNameOfClassMacro()

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::itkOverrideGetNameOfClassMacro ( DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >  )

Runtime information support.

◆ New()

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
static Pointer itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::New ( )
static

Method for creation through the object factory.

◆ PrintSelf()

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
void itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
overrideprotectedvirtual

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from itk::ProcessObject.

◆ SetBValue()

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
virtual void itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::SetBValue ( TTensorPixelType  _arg)
virtual

The BValue \( (s/mm^2) \) value used in normalizing the tensors to physically meaningful units. See equation (24) of the first reference for a description of how this is applied to the tensor estimation. Equation (1) of the same reference describes the physical significance.

◆ SetGradientImage()

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
void itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::SetGradientImage ( GradientDirectionContainerType ,
const GradientImagesType gradientImage 
)

Another set method to add a gradient directions and its corresponding image. The image here is a VectorImage. The user is expected to pass the gradient directions in a container. The ith element of the container corresponds to the gradient direction of the ith component image the VectorImage. For the baseline image, a vector of all zeros should be set.

◆ SetMaskImage()

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
void itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::SetMaskImage ( MaskImageType maskImage)

set an image mask

◆ SetMaskSpatialObject()

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
void itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::SetMaskSpatialObject ( MaskSpatialObjectType maskSpatialObject)

set a spatial object mask

◆ SetReferenceImage()

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
void itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::SetReferenceImage ( ReferenceImageType referenceImage)
inline

◆ SetThreshold()

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
virtual void itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::SetThreshold ( ReferencePixelType  _arg)
virtual

Threshold on the reference image data. The output tensor will be a null tensor for pixels in the reference image that have a value less than this threshold.

◆ VerifyPreconditions()

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
void itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::VerifyPreconditions ( )
overrideprotectedvirtual

Verifies that the process object has been configured correctly, that all required inputs are set, and needed parameters are set appropriately. If not valid an exceptions will be thrown.

This method is called before UpdateOutputInformation() is propagated to the inputs.

The ProcessObject's implementation verifies that the m_NumberOfRequiredInputs are set and not null.

Reimplemented from itk::ProcessObject.

Member Data Documentation

◆ m_BMatrix

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
CoefficientMatrixType itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::m_BMatrix {}
private

◆ m_BValue

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
TTensorPixelType itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::m_BValue {}
private

LeBihan's b-value for normalizing tensors

Definition at line 353 of file itkDiffusionTensor3DReconstructionImageFilter.h.

◆ m_GradientDirectionContainer

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
GradientDirectionContainerType::Pointer itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::m_GradientDirectionContainer {}
private

container to hold gradient directions

Definition at line 341 of file itkDiffusionTensor3DReconstructionImageFilter.h.

◆ m_GradientImageTypeEnumeration

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
GradientImageTypeEnumeration itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::m_GradientImageTypeEnumeration {}
private

Gradient image was specified in a single image or in multiple images

Definition at line 356 of file itkDiffusionTensor3DReconstructionImageFilter.h.

◆ m_MaskImagePresent

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
bool itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::m_MaskImagePresent {}
private

Mask Image Present

Definition at line 359 of file itkDiffusionTensor3DReconstructionImageFilter.h.

◆ m_NumberOfBaselineImages

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
unsigned int itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::m_NumberOfBaselineImages {}
private

Number of baseline images

Definition at line 347 of file itkDiffusionTensor3DReconstructionImageFilter.h.

◆ m_NumberOfGradientDirections

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
unsigned int itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::m_NumberOfGradientDirections {}
private

Number of gradient measurements

Definition at line 344 of file itkDiffusionTensor3DReconstructionImageFilter.h.

◆ m_TensorBasis

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
TensorBasisMatrixType itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::m_TensorBasis {}
private

◆ m_Threshold

template<typename TReferenceImagePixelType , typename TGradientImagePixelType = TReferenceImagePixelType, typename TTensorPixelType = double, typename TMaskImageType = Image<unsigned char, 3>>
ReferencePixelType itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::m_Threshold {}
private

Threshold on the reference image data

Definition at line 350 of file itkDiffusionTensor3DReconstructionImageFilter.h.


The documentation for this class was generated from the following file: