itk::DWIVoxelFunctor Class Reference

The DWIVoxelFunctor class Abstract basisclass for voxelprocessing of Diffusion Weighted Images. More...

#include <itkDWIVoxelFunctor.h>

Inheritance diagram for itk::DWIVoxelFunctor:

Collaboration diagram for itk::DWIVoxelFunctor:

Public Types
typedef DWIVoxelFunctor	Self
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef itk::Object	Superclass

Public Member Functions
virtual const char *	GetClassName () const
virtual void	operator() (vnl_matrix< double > &, const vnl_matrix< double > &, const double &)=0
	operator () More...

Protected Member Functions
	DWIVoxelFunctor ()
virtual	~DWIVoxelFunctor ()

Detailed Description

The DWIVoxelFunctor class Abstract basisclass for voxelprocessing of Diffusion Weighted Images.

Definition at line 33 of file itkDWIVoxelFunctor.h.

Member Typedef Documentation

typedef SmartPointer<const Self> itk::DWIVoxelFunctor::ConstPointer

Definition at line 42 of file itkDWIVoxelFunctor.h.

typedef SmartPointer<Self> itk::DWIVoxelFunctor::Pointer

Definition at line 41 of file itkDWIVoxelFunctor.h.

typedef DWIVoxelFunctor itk::DWIVoxelFunctor::Self

Definition at line 40 of file itkDWIVoxelFunctor.h.

typedef itk::Object itk::DWIVoxelFunctor::Superclass

Definition at line 43 of file itkDWIVoxelFunctor.h.

Constructor & Destructor Documentation

itk::DWIVoxelFunctor::DWIVoxelFunctor ( )

inlineprotected

Definition at line 36 of file itkDWIVoxelFunctor.h.

virtual itk::DWIVoxelFunctor::~DWIVoxelFunctor ( )

inlineprotectedvirtual

Definition at line 37 of file itkDWIVoxelFunctor.h.

Member Function Documentation

virtual const char* itk::DWIVoxelFunctor::GetClassName ( ) const

virtual

Runtime information support.

Reimplemented in itk::BiExpFitFunctor, itk::KurtosisFitFunctor, itk::ADCAverageFunctor, and itk::ADCFitFunctor.

virtual void itk::DWIVoxelFunctor::operator() ( vnl_matrix< double > &  , const vnl_matrix< double > &  , const double &    )

pure virtual

operator ()

Method for creation through the object factory.

Parameters

SignalMatrix	is a NxM matrix (N = Number of gradients; M = Number of Shells)
S0	is the reference signal (b=0)

Returns

NxP Signal vector containing the new signal (e.g. [S_1 S_2 S_3 ... S_N] -> only diffusion weighted signal). The first column of the matrix is reserved for the new calculated signal (other columns can hold e.g. the RMS-error)

Implemented in itk::BiExpFitFunctor, itk::KurtosisFitFunctor, itk::ADCAverageFunctor, and itk::ADCFitFunctor.

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

• itkDWIVoxelFunctor.h