anima::B1GammaMixtureT2RelaxometryCostFunction Class Reference

#include <animaB1GammaMixtureT2RelaxometryCostFunction.h>

Inheritance diagram for anima::B1GammaMixtureT2RelaxometryCostFunction:

Collaboration diagram for anima::B1GammaMixtureT2RelaxometryCostFunction:

Public Types
typedef itk::SmartPointer< const Self >	ConstPointer
typedef Superclass::DerivativeType	DerivativeType
using	LECalculatorPointer = LECalculatorType::Pointer
using	LECalculatorType = anima::LogEuclideanTensorCalculator< double >
typedef vnl_matrix< double >	MatrixType
typedef Superclass::MeasureType	MeasureType
typedef Superclass::ParametersType	ParametersType
typedef itk::SmartPointer< Self >	Pointer
typedef B1GammaMixtureT2RelaxometryCostFunction	Self
typedef SingleValuedCostFunction	Superclass

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual void	GetDerivative (const ParametersType &parameters, DerivativeType &derivative) const ITK_OVERRIDE
virtual const char *	GetNameOfClass () const
unsigned int	GetNumberOfParameters () const ITK_OVERRIDE
ParametersType &	GetOptimalT2Weights ()
virtual double	GetSigmaSquare ()
virtual MeasureType	GetValue (const ParametersType &parameters) const ITK_OVERRIDE
virtual void	SetConstrainedParameters (bool _arg)
virtual void	SetEchoSpacing (double _arg)
virtual void	SetExcitationFlipAngle (double _arg)
virtual void	SetGammaIntegralTolerance (double _arg)
void	SetGammaMeans (std::vector< double > &val)
void	SetGammaVariances (std::vector< double > &val)
virtual void	SetT1Value (double _arg)
void	SetT2RelaxometrySignals (ParametersType &relaxoSignals)

Static Public Member Functions
static Pointer	New ()

Protected Member Functions
	B1GammaMixtureT2RelaxometryCostFunction ()
void	PrepareDataForDerivative () const
void	PrepareDataForLLS () const
void	SolveLinearLeastSquares () const
	Computes maximum likelihood estimates of weights. More...
virtual	~B1GammaMixtureT2RelaxometryCostFunction ()

Detailed Description

Definition at line 17 of file animaB1GammaMixtureT2RelaxometryCostFunction.h.

Member Typedef Documentation

ConstPointer

typedef itk::SmartPointer<const Self> anima::B1GammaMixtureT2RelaxometryCostFunction::ConstPointer

Definition at line 25 of file animaB1GammaMixtureT2RelaxometryCostFunction.h.

DerivativeType

typedef Superclass::DerivativeType anima::B1GammaMixtureT2RelaxometryCostFunction::DerivativeType

Definition at line 33 of file animaB1GammaMixtureT2RelaxometryCostFunction.h.

LECalculatorPointer

using anima::B1GammaMixtureT2RelaxometryCostFunction::LECalculatorPointer = LECalculatorType::Pointer

Definition at line 38 of file animaB1GammaMixtureT2RelaxometryCostFunction.h.

LECalculatorType

using anima::B1GammaMixtureT2RelaxometryCostFunction::LECalculatorType = anima::LogEuclideanTensorCalculator <double>

Definition at line 37 of file animaB1GammaMixtureT2RelaxometryCostFunction.h.

MatrixType

typedef vnl_matrix<double> anima::B1GammaMixtureT2RelaxometryCostFunction::MatrixType

Definition at line 34 of file animaB1GammaMixtureT2RelaxometryCostFunction.h.

MeasureType

typedef Superclass::MeasureType anima::B1GammaMixtureT2RelaxometryCostFunction::MeasureType

Definition at line 32 of file animaB1GammaMixtureT2RelaxometryCostFunction.h.

ParametersType

typedef Superclass::ParametersType anima::B1GammaMixtureT2RelaxometryCostFunction::ParametersType

Definition at line 35 of file animaB1GammaMixtureT2RelaxometryCostFunction.h.

Pointer

typedef itk::SmartPointer<Self> anima::B1GammaMixtureT2RelaxometryCostFunction::Pointer

Definition at line 24 of file animaB1GammaMixtureT2RelaxometryCostFunction.h.

Self

typedef B1GammaMixtureT2RelaxometryCostFunction anima::B1GammaMixtureT2RelaxometryCostFunction::Self

Standard class typedefs.

Definition at line 22 of file animaB1GammaMixtureT2RelaxometryCostFunction.h.

Superclass

typedef SingleValuedCostFunction anima::B1GammaMixtureT2RelaxometryCostFunction::Superclass

Definition at line 23 of file animaB1GammaMixtureT2RelaxometryCostFunction.h.

Constructor & Destructor Documentation

B1GammaMixtureT2RelaxometryCostFunction()

anima::B1GammaMixtureT2RelaxometryCostFunction::B1GammaMixtureT2RelaxometryCostFunction ( )

inlineprotected

Definition at line 72 of file animaB1GammaMixtureT2RelaxometryCostFunction.h.

References anima::NNLSOptimizer::New().

~B1GammaMixtureT2RelaxometryCostFunction()

virtual anima::B1GammaMixtureT2RelaxometryCostFunction::~B1GammaMixtureT2RelaxometryCostFunction ( )

inlineprotectedvirtual

Definition at line 81 of file animaB1GammaMixtureT2RelaxometryCostFunction.h.

Member Function Documentation

CreateAnother()

virtual::itk::LightObject::Pointer anima::B1GammaMixtureT2RelaxometryCostFunction::CreateAnother

(

void

)

const

GetDerivative()

void anima::B1GammaMixtureT2RelaxometryCostFunction::GetDerivative ( const ParametersType &  parameters, DerivativeType &  derivative  ) const

virtual

Definition at line 160 of file animaB1GammaMixtureT2RelaxometryCostFunction.cxx.

References GetNumberOfParameters(), and PrepareDataForDerivative().

GetNameOfClass()

virtual const char* anima::B1GammaMixtureT2RelaxometryCostFunction::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

GetNumberOfParameters()

unsigned int anima::B1GammaMixtureT2RelaxometryCostFunction::GetNumberOfParameters ( ) const

inline

Definition at line 60 of file animaB1GammaMixtureT2RelaxometryCostFunction.h.

Referenced by GetDerivative(), GetValue(), PrepareDataForDerivative(), and PrepareDataForLLS().

GetOptimalT2Weights()

ParametersType& anima::B1GammaMixtureT2RelaxometryCostFunction::GetOptimalT2Weights ( )

inline

Definition at line 69 of file animaB1GammaMixtureT2RelaxometryCostFunction.h.

GetSigmaSquare()

virtual double anima::B1GammaMixtureT2RelaxometryCostFunction::GetSigmaSquare ( )

virtual

GetValue()

B1GammaMixtureT2RelaxometryCostFunction::MeasureType anima::B1GammaMixtureT2RelaxometryCostFunction::GetValue ( const ParametersType &  parameters ) const

virtual

The measure type shall be used for computing the cost function value to observe convergence Parameters are set as {flip_angle,theta_1,theta_2,theta_3} for unconstrained estimation Or {flip_angle,theta_2} for constrained

Definition at line 12 of file animaB1GammaMixtureT2RelaxometryCostFunction.cxx.

References GetNumberOfParameters(), PrepareDataForLLS(), and SolveLinearLeastSquares().

New()

static Pointer anima::B1GammaMixtureT2RelaxometryCostFunction::New ( )

static

PrepareDataForDerivative()

void anima::B1GammaMixtureT2RelaxometryCostFunction::PrepareDataForDerivative ( ) const

protected

Definition at line 259 of file animaB1GammaMixtureT2RelaxometryCostFunction.cxx.

References anima::GaussLaguerreQuadrature::GetIntegralValue(), GetNumberOfParameters(), anima::B1GammaDerivativeDistributionIntegrand::SetB1DerivativeFlag(), anima::B1GammaDistributionIntegrand::SetEchoNumber(), anima::B1GammaDistributionIntegrand::SetFlipAngle(), anima::B1GammaDistributionIntegrand::SetGammaMean(), anima::B1GammaDistributionIntegrand::SetGammaVariance(), anima::GaussLaguerreQuadrature::SetInterestZone(), and anima::B1GammaDistributionIntegrand::SetT1Value().

Referenced by GetDerivative().

PrepareDataForLLS()

void anima::B1GammaMixtureT2RelaxometryCostFunction::PrepareDataForLLS ( ) const

protected

Definition at line 27 of file animaB1GammaMixtureT2RelaxometryCostFunction.cxx.

References anima::GaussLaguerreQuadrature::GetIntegralValue(), GetNumberOfParameters(), anima::CholeskyDecomposition::PerformDecomposition(), anima::B1GammaDistributionIntegrand::SetEchoNumber(), anima::EPGSignalSimulator::SetEchoSpacing(), anima::EPGSignalSimulator::SetExcitationFlipAngle(), anima::B1GammaDistributionIntegrand::SetFlipAngle(), anima::B1GammaDistributionIntegrand::SetGammaMean(), anima::B1GammaDistributionIntegrand::SetGammaVariance(), anima::CholeskyDecomposition::SetInputMatrix(), anima::GaussLaguerreQuadrature::SetInterestZone(), anima::EPGSignalSimulator::SetNumberOfEchoes(), anima::B1GammaDistributionIntegrand::SetT1Value(), and anima::CholeskyDecomposition::SolveLinearSystem().

Referenced by GetValue().

SetConstrainedParameters()

virtual void anima::B1GammaMixtureT2RelaxometryCostFunction::SetConstrainedParameters ( bool  _arg )

virtual

SetEchoSpacing()

virtual void anima::B1GammaMixtureT2RelaxometryCostFunction::SetEchoSpacing ( double  _arg )

virtual

SetExcitationFlipAngle()

virtual void anima::B1GammaMixtureT2RelaxometryCostFunction::SetExcitationFlipAngle ( double  _arg )

virtual

SetGammaIntegralTolerance()

virtual void anima::B1GammaMixtureT2RelaxometryCostFunction::SetGammaIntegralTolerance ( double  _arg )

virtual

SetGammaMeans()

void anima::B1GammaMixtureT2RelaxometryCostFunction::SetGammaMeans ( std::vector< double > &  val )

inline

Definition at line 54 of file animaB1GammaMixtureT2RelaxometryCostFunction.h.

SetGammaVariances()

void anima::B1GammaMixtureT2RelaxometryCostFunction::SetGammaVariances ( std::vector< double > &  val )

inline

Definition at line 55 of file animaB1GammaMixtureT2RelaxometryCostFunction.h.

SetT1Value()

virtual void anima::B1GammaMixtureT2RelaxometryCostFunction::SetT1Value ( double  _arg )

virtual

SetT2RelaxometrySignals()

void anima::B1GammaMixtureT2RelaxometryCostFunction::SetT2RelaxometrySignals ( ParametersType &  relaxoSignals )

inline

Definition at line 51 of file animaB1GammaMixtureT2RelaxometryCostFunction.h.

SolveLinearLeastSquares()

void anima::B1GammaMixtureT2RelaxometryCostFunction::SolveLinearLeastSquares ( ) const

protected

Computes maximum likelihood estimates of weights.

Definition at line 140 of file animaB1GammaMixtureT2RelaxometryCostFunction.cxx.

Referenced by GetValue().

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

• animaB1GammaMixtureT2RelaxometryCostFunction.h
• animaB1GammaMixtureT2RelaxometryCostFunction.cxx