#include <itkADCAverageFunctor.h>
Definition at line 27 of file itkADCAverageFunctor.h.
itk::ADCAverageFunctor::ADCAverageFunctor |
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itk::ADCAverageFunctor::~ADCAverageFunctor |
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Pointer itk::ADCAverageFunctor::Clone |
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virtual const char* itk::ADCAverageFunctor::GetClassName |
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static Pointer itk::ADCAverageFunctor::New |
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Method for creation through the object factory.
Referenced by main().
void itk::ADCAverageFunctor::operator() |
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vnl_matrix< double > & |
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const vnl_matrix< double > & |
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const double & |
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operator ()
Method for creation through the object factory.
- Parameters
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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)
Implements itk::DWIVoxelFunctor.
Definition at line 22 of file itkADCAverageFunctor.cpp.
References m_BValueList, and m_TargetBvalue.
void itk::ADCAverageFunctor::setListOfBValues |
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const vnl_vector< double > & |
BValueList | ) |
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void itk::ADCAverageFunctor::setTargetBValue |
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const double & |
targetBValue | ) |
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vnl_vector<double> itk::ADCAverageFunctor::m_BValueList |
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double itk::ADCAverageFunctor::m_TargetBvalue |
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The documentation for this class was generated from the following files: