anima::B1GMMRelaxometryCostFunction Class Reference

Cost function for estimating B1 from T2 relaxometry acquisition, following a multi-T2 EPG decay model. The cost function includes (via variable projection) estimation of compartment weights. More...

#include <animaB1GMMRelaxometryCostFunction.h>

Inheritance diagram for anima::B1GMMRelaxometryCostFunction:

Collaboration diagram for anima::B1GMMRelaxometryCostFunction:

Public Types
typedef std::vector< std::complex< double > >	ComplexVectorType
typedef itk::SmartPointer< const Self >	ConstPointer
typedef Superclass::DerivativeType	DerivativeType
typedef std::vector< ComplexVectorType >	MatrixType
typedef Superclass::MeasureType	MeasureType
typedef Superclass::ParametersType	ParametersType
typedef itk::SmartPointer< Self >	Pointer
typedef B1GMMRelaxometryCostFunction	Self
typedef itk::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	SetEchoSpacing (double _arg)
virtual void	SetExcitationFlipAngle (double _arg)
virtual void	SetGaussianIntegralTolerance (double _arg)
void	SetGaussianMeans (std::vector< double > &val)
void	SetGaussianVariances (std::vector< double > &val)
virtual void	SetT1Value (double _arg)
void	SetT2RelaxometrySignals (ParametersType &relaxoSignals)

Static Public Member Functions
static Pointer	New ()

Protected Member Functions
	B1GMMRelaxometryCostFunction ()
void	PrepareDataForLLS () const
void	SolveLinearLeastSquares () const
	Computes maximum likelihood estimates of weights. More...
virtual	~B1GMMRelaxometryCostFunction ()

Detailed Description

Cost function for estimating B1 from T2 relaxometry acquisition, following a multi-T2 EPG decay model. The cost function includes (via variable projection) estimation of compartment weights.

Definition at line 20 of file animaB1GMMRelaxometryCostFunction.h.

Member Typedef Documentation

ComplexVectorType

typedef std::vector< std::complex <double> > anima::B1GMMRelaxometryCostFunction::ComplexVectorType

Definition at line 38 of file animaB1GMMRelaxometryCostFunction.h.

ConstPointer

typedef itk::SmartPointer<const Self> anima::B1GMMRelaxometryCostFunction::ConstPointer

Definition at line 28 of file animaB1GMMRelaxometryCostFunction.h.

DerivativeType

typedef Superclass::DerivativeType anima::B1GMMRelaxometryCostFunction::DerivativeType

Definition at line 36 of file animaB1GMMRelaxometryCostFunction.h.

MatrixType

typedef std::vector<ComplexVectorType> anima::B1GMMRelaxometryCostFunction::MatrixType

Definition at line 39 of file animaB1GMMRelaxometryCostFunction.h.

MeasureType

typedef Superclass::MeasureType anima::B1GMMRelaxometryCostFunction::MeasureType

Definition at line 35 of file animaB1GMMRelaxometryCostFunction.h.

ParametersType

typedef Superclass::ParametersType anima::B1GMMRelaxometryCostFunction::ParametersType

Definition at line 37 of file animaB1GMMRelaxometryCostFunction.h.

Pointer

typedef itk::SmartPointer<Self> anima::B1GMMRelaxometryCostFunction::Pointer

Definition at line 27 of file animaB1GMMRelaxometryCostFunction.h.

Self

typedef B1GMMRelaxometryCostFunction anima::B1GMMRelaxometryCostFunction::Self

Standard class typedefs.

Definition at line 25 of file animaB1GMMRelaxometryCostFunction.h.

Superclass

typedef itk::SingleValuedCostFunction anima::B1GMMRelaxometryCostFunction::Superclass

Definition at line 26 of file animaB1GMMRelaxometryCostFunction.h.

Constructor & Destructor Documentation

B1GMMRelaxometryCostFunction()

anima::B1GMMRelaxometryCostFunction::B1GMMRelaxometryCostFunction ( )

inlineprotected

Definition at line 63 of file animaB1GMMRelaxometryCostFunction.h.

References anima::NNLSOptimizer::New().

~B1GMMRelaxometryCostFunction()

virtual anima::B1GMMRelaxometryCostFunction::~B1GMMRelaxometryCostFunction ( )

inlineprotectedvirtual

Definition at line 72 of file animaB1GMMRelaxometryCostFunction.h.

Member Function Documentation

CreateAnother()

virtual::itk::LightObject::Pointer anima::B1GMMRelaxometryCostFunction::CreateAnother

(

void

)

const

GetDerivative()

void anima::B1GMMRelaxometryCostFunction::GetDerivative ( const ParametersType &  parameters, DerivativeType &  derivative  ) const

virtual

Definition at line 27 of file animaB1GMMRelaxometryCostFunction.cxx.

GetNameOfClass()

virtual const char* anima::B1GMMRelaxometryCostFunction::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

GetNumberOfParameters()

unsigned int anima::B1GMMRelaxometryCostFunction::GetNumberOfParameters ( ) const

inline

Definition at line 54 of file animaB1GMMRelaxometryCostFunction.h.

Referenced by GetValue().

GetOptimalT2Weights()

ParametersType& anima::B1GMMRelaxometryCostFunction::GetOptimalT2Weights ( )

inline

Definition at line 60 of file animaB1GMMRelaxometryCostFunction.h.

GetSigmaSquare()

virtual double anima::B1GMMRelaxometryCostFunction::GetSigmaSquare ( )

virtual

GetValue()

B1GMMRelaxometryCostFunction::MeasureType anima::B1GMMRelaxometryCostFunction::GetValue ( const ParametersType &  parameters ) const

virtual

Definition at line 12 of file animaB1GMMRelaxometryCostFunction.cxx.

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

New()

static Pointer anima::B1GMMRelaxometryCostFunction::New ( )

static

PrepareDataForLLS()

void anima::B1GMMRelaxometryCostFunction::PrepareDataForLLS ( ) const

protected

Definition at line 34 of file animaB1GMMRelaxometryCostFunction.cxx.

References anima::GaussLaguerreQuadrature::GetIntegralValue(), anima::CholeskyDecomposition::PerformDecomposition(), anima::B1GMMDistributionIntegrand::SetEchoNumber(), anima::EPGSignalSimulator::SetEchoSpacing(), anima::EPGSignalSimulator::SetExcitationFlipAngle(), anima::B1GMMDistributionIntegrand::SetFlipAngle(), anima::B1GMMDistributionIntegrand::SetGaussianMean(), anima::B1GMMDistributionIntegrand::SetGaussianVariance(), anima::CholeskyDecomposition::SetInputMatrix(), anima::GaussLaguerreQuadrature::SetInterestZone(), anima::EPGSignalSimulator::SetNumberOfEchoes(), anima::B1GMMDistributionIntegrand::SetT1Value(), and anima::CholeskyDecomposition::SolveLinearSystem().

Referenced by GetValue().

SetEchoSpacing()

virtual void anima::B1GMMRelaxometryCostFunction::SetEchoSpacing ( double  _arg )

virtual

SetExcitationFlipAngle()

virtual void anima::B1GMMRelaxometryCostFunction::SetExcitationFlipAngle ( double  _arg )

virtual

SetGaussianIntegralTolerance()

virtual void anima::B1GMMRelaxometryCostFunction::SetGaussianIntegralTolerance ( double  _arg )

virtual

SetGaussianMeans()

void anima::B1GMMRelaxometryCostFunction::SetGaussianMeans ( std::vector< double > &  val )

inline

Definition at line 50 of file animaB1GMMRelaxometryCostFunction.h.

SetGaussianVariances()

void anima::B1GMMRelaxometryCostFunction::SetGaussianVariances ( std::vector< double > &  val )

inline

Definition at line 51 of file animaB1GMMRelaxometryCostFunction.h.

SetT1Value()

virtual void anima::B1GMMRelaxometryCostFunction::SetT1Value ( double  _arg )

virtual

SetT2RelaxometrySignals()

void anima::B1GMMRelaxometryCostFunction::SetT2RelaxometrySignals ( ParametersType &  relaxoSignals )

inline

Definition at line 47 of file animaB1GMMRelaxometryCostFunction.h.

SolveLinearLeastSquares()

void anima::B1GMMRelaxometryCostFunction::SolveLinearLeastSquares ( ) const

protected

Computes maximum likelihood estimates of weights.

Definition at line 126 of file animaB1GMMRelaxometryCostFunction.cxx.

Referenced by GetValue().

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

• animaB1GMMRelaxometryCostFunction.h
• animaB1GMMRelaxometryCostFunction.cxx