#include <itkMutualInformationImageToImageMetric.h>

Detailed Description

template<typename TFixedImage, typename TMovingImage>
class itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >

Computes the mutual information between two images to be registered.

MutualInformationImageToImageMetric computes the mutual information between a fixed and moving image to be registered.

This class is templated over the FixedImage type and the MovingImage type.

The fixed and moving images are set via methods SetFixedImage() and SetMovingImage(). This metric makes use of user specified Transform and Interpolator. The Transform is used to map points from the fixed image to the moving image domain. The Interpolator is used to evaluate the image intensity at user specified geometric points in the moving image. The Transform and Interpolator are set via methods SetTransform() and SetInterpolator().

Warning: This metric assumes that the moving image has already been connected to the interpolator outside of this class.

The method GetValue() computes of the mutual information while method GetValueAndDerivative() computes both the mutual information and its derivatives with respect to the transform parameters.

The calculations are based on the method of Viola and Wells where the probability density distributions are estimated using Parzen windows.

By default a Gaussian kernel is used in the density estimation. Other option include Cauchy and spline-based. A user can specify the kernel passing in a pointer a KernelFunctionBase using the SetKernelFunction() method.

Mutual information is estimated using two sample sets: one to calculate the singular and joint pdf's and one to calculate the entropy integral. By default 50 samples points are used in each set. Other values can be set via the SetNumberOfSpatialSamples() method.

Quality of the density estimate depends on the choice of the kernel's standard deviation. Optimal choice will depend on the images. It is can be shown that around the optimal variance, the mutual information estimate is relatively insensitive to small changes of the standard deviation. In our experiments, we have found that a standard deviation of 0.4 works well for images normalized to have a mean of zero and standard deviation of 1.0. The variance can be set via methods SetFixedImageStandardDeviation() and SetMovingImageStandardDeviation().

Implementation of this class is based on [134].

See also: KernelFunctionBase; GaussianKernelFunction

ITK Sphinx Examples:

All ITK Sphinx Examples

Mutual Information

Mutual Information Affine

Examples: Examples/RegistrationITKv4/ImageRegistration2.cxx.

Definition at line 91 of file itkMutualInformationImageToImageMetric.h.

Inheritance diagram for itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >:

Collaboration diagram for itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >:

Classes
class	SpatialSample

Public Types
using	ConstPointer = SmartPointer<const Self>

using	DerivativeType

using	FixedImageConstPointer

using	FixedImageIndexType = typename FixedImageType::IndexType

using	FixedImageIndexValueType = typename FixedImageIndexType::IndexValueType

using	FixedImagePointType = typename TransformType::InputPointType

using	FixedImageType

using	InterpolatorType

using	KernelFunctionType = KernelFunctionBase<double>

using	MeasureType

using	MovingImageCosntPointer = typename Superclass::MovingImageConstPointer

using	MovingImageIndexType = typename MovingImageType::IndexType

using	MovingImagePointType = typename TransformType::OutputPointType

using	MovingImageType

using	ParametersType

using	Pointer = SmartPointer<Self>

using	Self = MutualInformationImageToImageMetric

using	Superclass = ImageToImageMetric<TFixedImage, TMovingImage>

using	TransformJacobianType

using	TransformPointer

using	TransformType

Public Types inherited from itk::ImageToImageMetric< TFixedImage, TMovingImage >
using	ConstPointer = SmartPointer<const Self>

using	CoordinateRepresentationType = typename Superclass::ParametersValueType

using	DerivativeType

using	FixedImageConstPointer = typename FixedImageType::ConstPointer

using	FixedImageIndexContainer = std::vector<FixedImageIndexType>

using	FixedImageIndexType = typename FixedImageType::IndexType

using	FixedImageIndexValueType = typename FixedImageIndexType::IndexValueType

using	FixedImageMaskConstPointer = typename FixedImageMaskType::ConstPointer

using	FixedImageMaskPointer = typename FixedImageMaskType::Pointer

using	FixedImageMaskType = SpatialObject<Self::FixedImageDimension>

using	FixedImagePixelType = typename TFixedImage::PixelType

using	FixedImagePointType = typename TransformType::InputPointType

using	FixedImageRegionType = typename FixedImageType::RegionType

using	FixedImageType = TFixedImage

using	GradientImageFilterPointer = typename GradientImageFilterType::Pointer

using	GradientImageFilterType = GradientRecursiveGaussianImageFilter<MovingImageType, GradientImageType>

using	GradientImagePointer = SmartPointer<GradientImageType>

using	GradientImageType = Image<GradientPixelType, Self::MovingImageDimension>

using	GradientPixelType = CovariantVector<RealType, Self::MovingImageDimension>

using	InputPointType = typename TransformType::InputPointType

using	InterpolatorPointer = typename InterpolatorType::Pointer

using	InterpolatorType = InterpolateImageFunction<MovingImageType, CoordinateRepresentationType>

using	MeasureType

using	MovingImageConstPointer = typename MovingImageType::ConstPointer

using	MovingImageIndexType = typename MovingImageType::IndexType

using	MovingImageMaskConstPointer = typename MovingImageMaskType::ConstPointer

using	MovingImageMaskPointer = typename MovingImageMaskType::Pointer

using	MovingImageMaskType = SpatialObject<Self::MovingImageDimension>

using	MovingImagePixelType = typename TMovingImage::PixelType

using	MovingImagePointType = typename TransformType::OutputPointType

using	MovingImageType = TMovingImage

using	MultiThreaderType = MultiThreaderBase

using	OutputPointType = typename TransformType::OutputPointType

using	ParametersType

using	Pointer = SmartPointer<Self>

using	RealType = typename NumericTraits<MovingImagePixelType>::RealType

using	Self = ImageToImageMetric

using	Superclass = SingleValuedCostFunction

using	TransformJacobianType = typename TransformType::JacobianType

using	TransformParametersType = typename TransformType::ParametersType

using	TransformPointer = typename TransformType::Pointer

using	TransformType = Transform<CoordinateRepresentationType, Self::MovingImageDimension, Self::FixedImageDimension>

Public Types inherited from itk::SingleValuedCostFunction
using	ConstPointer = SmartPointer<const Self>

using	DerivativeType = Array<ParametersValueType>

using	MeasureType = double

using	ParametersType = Superclass::ParametersType

using	ParametersValueType = Superclass::ParametersValueType

using	Pointer = SmartPointer<Self>

using	Self = SingleValuedCostFunction

using	Superclass = CostFunction

Public Types inherited from itk::CostFunctionTemplate< double >
using	ConstPointer

using	ParametersType

using	ParametersValueType

using	Pointer

using	Self

using	Superclass

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::itk::LightObject::Pointer	CreateAnother () const

void	GetDerivative (const ParametersType &parameters, DerivativeType &derivative) const override

const char *	GetNameOfClass () const override

virtual const unsigned int &	GetNumberOfSpatialSamples () const

MeasureType	GetValue (const ParametersType &parameters) const override

void	GetValueAndDerivative (const ParametersType &parameters, MeasureType &value, DerivativeType &derivative) const override

void	SetNumberOfSpatialSamples (unsigned int num)


virtual void	SetMovingImageStandardDeviation (double _arg)

virtual const double &	GetMovingImageStandardDeviation () const


virtual void	SetFixedImageStandardDeviation (double _arg)

virtual double	GetFixedImageStandardDeviation () const


virtual void	SetKernelFunction (KernelFunctionType *_arg)

virtual KernelFunctionType *	GetModifiableKernelFunction ()

virtual const KernelFunctionType *	GetKernelFunction () const

Public Member Functions inherited from itk::ImageToImageMetric< TFixedImage, TMovingImage >
virtual void	ComputeGradient ()

virtual const FixedImageRegionType &	GetFixedImageRegion () const

virtual const FixedImagePixelType &	GetFixedImageSamplesIntensityThreshold () const

virtual const GradientImageType *	GetGradientImage () const

virtual const InterpolatorType *	GetInterpolator () const

virtual GradientImageType *	GetModifiableGradientImage ()

virtual InterpolatorType *	GetModifiableInterpolator ()

virtual TransformType *	GetModifiableTransform ()

SizeValueType	GetNumberOfMovingImageSamples ()

unsigned int	GetNumberOfParameters () const override

virtual const SizeValueType &	GetNumberOfPixelsCounted () const

SizeValueType	GetNumberOfSpatialSamples ()

virtual const TransformType *	GetTransform () const

virtual const bool &	GetUseAllPixels () const

virtual const bool &	GetUseFixedImageIndexes () const

virtual const bool &	GetUseFixedImageSamplesIntensityThreshold () const

virtual const bool &	GetUseSequentialSampling () const

virtual void	Initialize ()

virtual void	MultiThreadingInitialize ()

void	SetFixedImageIndexes (const FixedImageIndexContainer &indexes)

virtual void	SetFixedImageRegion (const FixedImageRegionType reg)

void	SetFixedImageSamplesIntensityThreshold (const FixedImagePixelType &thresh)

virtual void	SetInterpolator (InterpolatorType *_arg)

void	SetNumberOfSpatialSamples (SizeValueType num)

virtual void	SetTransform (TransformType *_arg)

void	SetTransformParameters (const ParametersType &parameters) const

void	SetUseAllPixels (bool useAllPixels)

void	SetUseFixedImageIndexes (bool useIndexes)

void	SetUseFixedImageSamplesIntensityThreshold (bool useThresh)

void	SetUseSequentialSampling (bool useSequential)

void	UseAllPixelsOff ()

void	UseAllPixelsOn ()

virtual void	SetFixedImage (const FixedImageType *_arg)

virtual const FixedImageType *	GetFixedImage () const

virtual void	SetMovingImage (const MovingImageType *_arg)

virtual const MovingImageType *	GetMovingImage () const

virtual void	SetMovingImageMask (const MovingImageMaskType *_arg)

virtual const MovingImageMaskType *	GetMovingImageMask () const

virtual void	SetFixedImageMask (const FixedImageMaskType *_arg)

virtual const FixedImageMaskType *	GetFixedImageMask () const

void	SetNumberOfWorkUnits (ThreadIdType numberOfWorkUnits)

virtual const ThreadIdType &	GetNumberOfWorkUnits () const

virtual void	SetComputeGradient (bool _arg)

virtual const bool &	GetComputeGradient () const

virtual void	ComputeGradientOn ()

virtual void	ComputeGradientOff ()

virtual void	SetNumberOfFixedImageSamples (SizeValueType numSamples)

virtual const SizeValueType &	GetNumberOfFixedImageSamples () const

void	ReinitializeSeed ()

void	ReinitializeSeed (int seed)

virtual void	SetUseCachingOfBSplineWeights (bool _arg)

virtual const bool &	GetUseCachingOfBSplineWeights () const

virtual void	UseCachingOfBSplineWeightsOn ()

virtual void	UseCachingOfBSplineWeightsOff ()

virtual MultiThreaderType *	GetModifiableThreader ()

virtual const MultiThreaderType *	GetThreader () const

const TransformPointer *	GetThreaderTransform ()

Public Member Functions inherited from itk::SingleValuedCostFunction
const char *	GetNameOfClass () const override

Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *cmd) 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

Command *	GetCommand (unsigned long tag)

bool	GetDebug () const

MetaDataDictionary &	GetMetaDataDictionary ()

const MetaDataDictionary &	GetMetaDataDictionary () const

virtual ModifiedTimeType	GetMTime () const

virtual const TimeStamp &	GetTimeStamp () const

bool	HasObserver (const EventObject &event) const

void	InvokeEvent (const EventObject &)

void	InvokeEvent (const EventObject &) const

virtual void	Modified () const

void	Register () const override

void	RemoveAllObservers ()

void	RemoveObserver (unsigned long tag) const

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

void	Print (std::ostream &os, Indent indent=0) const

Static Public Member Functions
static Pointer	New ()

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 ()

Static Public Attributes
static constexpr unsigned int	MovingImageDimension = MovingImageType::ImageDimension

Static Public Attributes inherited from itk::ImageToImageMetric< TFixedImage, TMovingImage >
static constexpr unsigned int	FixedImageDimension = TFixedImage::ImageDimension

static constexpr unsigned int	MovingImageDimension = TMovingImage::ImageDimension

Protected Member Functions
	MutualInformationImageToImageMetric ()

void	PrintSelf (std::ostream &os, Indent indent) const override

	~MutualInformationImageToImageMetric () override=default

Protected Member Functions inherited from itk::ImageToImageMetric< TFixedImage, TMovingImage >
virtual void	ComputeImageDerivatives (const MovingImagePointType &mappedPoint, ImageDerivativesType &gradient, ThreadIdType threadId) const

void	GetValueAndDerivativeMultiThreadedInitiate () const

void	GetValueAndDerivativeMultiThreadedPostProcessInitiate () const

virtual void	GetValueAndDerivativeThread (ThreadIdType threadId) const

virtual void	GetValueAndDerivativeThreadPostProcess (ThreadIdType threadId, bool withinSampleThread) const

virtual void	GetValueAndDerivativeThreadPreProcess (ThreadIdType threadId, bool withinSampleThread) const

virtual bool	GetValueAndDerivativeThreadProcessSample (ThreadIdType threadId, SizeValueType fixedImageSample, const MovingImagePointType &mappedPoint, double movingImageValue, const ImageDerivativesType &movingImageGradientValue) const

	ImageToImageMetric ()

virtual void	PreComputeTransformValues ()

virtual void	SampleFixedImageIndexes (FixedImageSampleContainer &samples) const

virtual void	SampleFixedImageRegion (FixedImageSampleContainer &samples) const

virtual void	SampleFullFixedImageRegion (FixedImageSampleContainer &samples) const

virtual void	SynchronizeTransforms () const

virtual void	TransformPoint (unsigned int sampleNumber, MovingImagePointType &mappedPoint, bool &sampleOk, double &movingImageValue, ThreadIdType threadId) const

virtual void	TransformPointWithDerivatives (unsigned int sampleNumber, MovingImagePointType &mappedPoint, bool &sampleOk, double &movingImageValue, ImageDerivativesType &movingImageGradient, ThreadIdType threadId) const

	~ImageToImageMetric () override=default

void	GetValueMultiThreadedInitiate () const

void	GetValueMultiThreadedPostProcessInitiate () const

virtual void	GetValueThread (ThreadIdType threadId) const

virtual void	GetValueThreadPreProcess (ThreadIdType threadId, bool withinSampleThread) const

virtual bool	GetValueThreadProcessSample (ThreadIdType threadId, SizeValueType fixedImageSample, const MovingImagePointType &mappedPoint, double movingImageValue) const

virtual void	GetValueThreadPostProcess (ThreadIdType threadId, bool withinSampleThread) const

Protected Member Functions inherited from itk::SingleValuedCostFunction
	SingleValuedCostFunction ()=default

	~SingleValuedCostFunction () override

Protected Member Functions inherited from itk::CostFunctionTemplate< double >
	CostFunctionTemplate ()=default

	CostFunctionTemplate ()=default

	~CostFunctionTemplate () override=default

	~CostFunctionTemplate () override=default

Protected Member Functions inherited from itk::Object
	Object ()

bool	PrintObservers (std::ostream &os, Indent indent) const

void	PrintSelf (std::ostream &os, Indent indent) const override

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 Types
using	CoordinateRepresentationType

using	DerivativeFunctionType = CentralDifferenceImageFunction<MovingImageType, CoordinateRepresentationType>

using	SpatialSampleContainer = std::vector<SpatialSample>

Private Member Functions
void	CalculateDerivatives (const FixedImagePointType &, DerivativeType &, TransformJacobianType &) const

virtual void	SampleFixedImageDomain (SpatialSampleContainer &samples) const

Private Attributes
DerivativeFunctionType::Pointer	m_DerivativeCalculator {}

double	m_FixedImageStandardDeviation {}

KernelFunctionType::Pointer	m_KernelFunction {}

double	m_MinProbability {}

double	m_MovingImageStandardDeviation {}

unsigned int	m_NumberOfSpatialSamples {}

SpatialSampleContainer	m_SampleA {}

SpatialSampleContainer	m_SampleB {}

Additional Inherited Members
Protected Types inherited from itk::ImageToImageMetric< TFixedImage, TMovingImage >
using	BooleanArrayType = std::vector<bool>

using	BSplineInterpolatorType = BSplineInterpolateImageFunction<MovingImageType, CoordinateRepresentationType>

using	BSplineParametersOffsetType = FixedArray<SizeValueType, FixedImageType::ImageDimension>

using	BSplineTransformIndexArrayType = typename BSplineTransformType::ParameterIndexArrayType

using	BSplineTransformIndicesArrayType = Array2D<IndexValueType>

using	BSplineTransformType

using	BSplineTransformWeightsArrayType = Array2D<WeightsValueType>

using	BSplineTransformWeightsType = typename BSplineTransformType::WeightsType

using	DerivativeFunctionType = CentralDifferenceImageFunction<MovingImageType, CoordinateRepresentationType>

using	FixedImageSampleContainer = std::vector<FixedImageSamplePoint>

using	ImageDerivativesType = CovariantVector<double, Self::MovingImageDimension>

using	IndexValueType = typename BSplineTransformIndexArrayType::ValueType

using	MovingImagePointArrayType = std::vector<MovingImagePointType>

using	WeightsValueType = typename BSplineTransformWeightsType::ValueType

Static Protected Member Functions inherited from itk::ImageToImageMetric< TFixedImage, TMovingImage >
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION	GetValueAndDerivativeMultiThreaded (void *workunitInfoAsVoid)

static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION	GetValueAndDerivativeMultiThreadedPostProcess (void *workunitInfoAsVoid)

static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION	GetValueMultiThreaded (void *workunitInfoAsVoid)

static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION	GetValueMultiThreadedPostProcess (void *workunitInfoAsVoid)

Protected Attributes inherited from itk::ImageToImageMetric< TFixedImage, TMovingImage >
BSplineInterpolatorType::Pointer	m_BSplineInterpolator {}

BSplineParametersOffsetType	m_BSplineParametersOffset {}

MovingImagePointArrayType	m_BSplinePreTransformPointsArray {}

BSplineTransformType::Pointer	m_BSplineTransform {}

BSplineTransformIndexArrayType	m_BSplineTransformIndices {}

BSplineTransformIndicesArrayType	m_BSplineTransformIndicesArray {}

BSplineTransformWeightsType	m_BSplineTransformWeights {}

BSplineTransformWeightsArrayType	m_BSplineTransformWeightsArray {}

bool	m_ComputeGradient { true }

DerivativeFunctionType::Pointer	m_DerivativeCalculator {}

FixedImageConstPointer	m_FixedImage {}

FixedImageIndexContainer	m_FixedImageIndexes {}

FixedImageMaskConstPointer	m_FixedImageMask {}

FixedImageSampleContainer	m_FixedImageSamples {}

FixedImagePixelType	m_FixedImageSamplesIntensityThreshold {}

GradientImagePointer	m_GradientImage {}

InterpolatorPointer	m_Interpolator {}

MovingImageConstPointer	m_MovingImage {}

MovingImageMaskConstPointer	m_MovingImageMask {}

SizeValueType	m_NumberOfFixedImageSamples { 50000 }

SizeValueType	m_NumberOfParameters { 0 }

SizeValueType	m_NumberOfPixelsCounted { 0 }

ThreadIdType	m_NumberOfWorkUnits { 1 }

SizeValueType	m_NumBSplineWeights { 0 }

int	m_RandomSeed {}

bool	m_ReseedIterator { false }

std::unique_ptr< BSplineTransformIndexArrayType[]>	m_ThreaderBSplineTransformIndices

std::unique_ptr< BSplineTransformWeightsType[]>	m_ThreaderBSplineTransformWeights

std::unique_ptr< TransformPointer[]>	m_ThreaderTransform

TransformPointer	m_Transform {}

bool	m_UseAllPixels { false }

bool	m_UseCachingOfBSplineWeights { true }

bool	m_UseFixedImageIndexes { false }

bool	m_UseFixedImageSamplesIntensityThreshold { false }

bool	m_UseSequentialSampling { false }

BooleanArrayType	m_WithinBSplineSupportRegionArray {}

MultiThreaderType::Pointer	m_Threader {}

std::unique_ptr< ConstantPointerWrapper >	m_ConstSelfWrapper

std::unique_ptr< unsigned int[]>	m_ThreaderNumberOfMovingImageSamples

bool	m_WithinThreadPreProcess { false }

bool	m_WithinThreadPostProcess { false }

Protected Attributes inherited from itk::LightObject
std::atomic< int >	m_ReferenceCount {}

Static Protected Attributes inherited from itk::ImageToImageMetric< TFixedImage, TMovingImage >
static constexpr unsigned int	DeformationSplineOrder = 3

Member Typedef Documentation

◆ ConstPointer

template<typename TFixedImage, typename TMovingImage>

using itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::ConstPointer = SmartPointer<const Self>

Definition at line 100 of file itkMutualInformationImageToImageMetric.h.

◆ CoordinateRepresentationType

template<typename TFixedImage, typename TMovingImage>

using itk::ImageToImageMetric< TFixedImage, TMovingImage >::CoordinateRepresentationType

private

Type used for representing point components

Definition at line 66 of file itkImageToImageMetric.h.

◆ DerivativeFunctionType

template<typename TFixedImage, typename TMovingImage>

using itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::DerivativeFunctionType = CentralDifferenceImageFunction<MovingImageType, CoordinateRepresentationType>

private

Definition at line 256 of file itkMutualInformationImageToImageMetric.h.

◆ DerivativeType

template<typename TFixedImage, typename TMovingImage>

using itk::SingleValuedCostFunction::DerivativeType

DerivativeType type alias. It defines a type used to return the cost function derivative.

Definition at line 133 of file itkSingleValuedCostFunction.h.

◆ FixedImageConstPointer

template<typename TFixedImage, typename TMovingImage>

using itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageConstPointer

Definition at line 79 of file itkImageToImageMetric.h.

◆ FixedImageIndexType

template<typename TFixedImage, typename TMovingImage>

using itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::FixedImageIndexType = typename FixedImageType::IndexType

Index and Point type alias support

Definition at line 122 of file itkMutualInformationImageToImageMetric.h.

◆ FixedImageIndexValueType

template<typename TFixedImage, typename TMovingImage>

using itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::FixedImageIndexValueType = typename FixedImageIndexType::IndexValueType

Definition at line 123 of file itkMutualInformationImageToImageMetric.h.

◆ FixedImagePointType

template<typename TFixedImage, typename TMovingImage>

using itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::FixedImagePointType = typename TransformType::InputPointType

Definition at line 125 of file itkMutualInformationImageToImageMetric.h.

◆ FixedImageType

template<typename TFixedImage, typename TMovingImage>

using itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageType

Type of the fixed Image.

Definition at line 77 of file itkImageToImageMetric.h.

◆ InterpolatorType

template<typename TFixedImage, typename TMovingImage>

using itk::ImageToImageMetric< TFixedImage, TMovingImage >::InterpolatorType

Type of the Interpolator Base class

Definition at line 105 of file itkImageToImageMetric.h.

◆ KernelFunctionType

template<typename TFixedImage, typename TMovingImage>

using itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::KernelFunctionType = KernelFunctionBase<double>

Definition at line 128 of file itkMutualInformationImageToImageMetric.h.

◆ MeasureType

template<typename TFixedImage, typename TMovingImage>

using itk::SingleValuedCostFunction::MeasureType

MeasureType type alias. It defines a type used to return the cost function value.

Definition at line 130 of file itkSingleValuedCostFunction.h.

◆ MovingImageCosntPointer

template<typename TFixedImage, typename TMovingImage>

using itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MovingImageCosntPointer = typename Superclass::MovingImageConstPointer

Definition at line 119 of file itkMutualInformationImageToImageMetric.h.

◆ MovingImageIndexType

template<typename TFixedImage, typename TMovingImage>

using itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MovingImageIndexType = typename MovingImageType::IndexType

Definition at line 124 of file itkMutualInformationImageToImageMetric.h.

◆ MovingImagePointType

template<typename TFixedImage, typename TMovingImage>

using itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MovingImagePointType = typename TransformType::OutputPointType

Definition at line 126 of file itkMutualInformationImageToImageMetric.h.

◆ MovingImageType

template<typename TFixedImage, typename TMovingImage>

using itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImageType

Type of the moving Image.

Definition at line 72 of file itkImageToImageMetric.h.

◆ ParametersType

template<typename TFixedImage, typename TMovingImage>

using itk::SingleValuedCostFunction::ParametersType

ParametersType type alias. It defines a position in the optimization search space.

Definition at line 136 of file itkSingleValuedCostFunction.h.

◆ Pointer

template<typename TFixedImage, typename TMovingImage>

using itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::Pointer = SmartPointer<Self>

Definition at line 99 of file itkMutualInformationImageToImageMetric.h.

◆ Self

template<typename TFixedImage, typename TMovingImage>

using itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::Self = MutualInformationImageToImageMetric

Standard class type aliases.

Definition at line 97 of file itkMutualInformationImageToImageMetric.h.

◆ SpatialSampleContainer

template<typename TFixedImage, typename TMovingImage>

using itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::SpatialSampleContainer = std::vector<SpatialSample>

private

SpatialSampleContainer type alias support

Definition at line 212 of file itkMutualInformationImageToImageMetric.h.

◆ Superclass

template<typename TFixedImage, typename TMovingImage>

using itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::Superclass = ImageToImageMetric<TFixedImage, TMovingImage>

Definition at line 98 of file itkMutualInformationImageToImageMetric.h.

◆ TransformJacobianType

template<typename TFixedImage, typename TMovingImage>

using itk::ImageToImageMetric< TFixedImage, TMovingImage >::TransformJacobianType

Definition at line 93 of file itkImageToImageMetric.h.

◆ TransformPointer

template<typename TFixedImage, typename TMovingImage>

using itk::ImageToImageMetric< TFixedImage, TMovingImage >::TransformPointer

Definition at line 89 of file itkImageToImageMetric.h.

◆ TransformType

template<typename TFixedImage, typename TMovingImage>

using itk::ImageToImageMetric< TFixedImage, TMovingImage >::TransformType

Type of the Transform Base class

Definition at line 87 of file itkImageToImageMetric.h.

Constructor & Destructor Documentation

◆ MutualInformationImageToImageMetric()

template<typename TFixedImage, typename TMovingImage>

itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MutualInformationImageToImageMetric ( )

protected

Referenced by GetNameOfClass().

◆ ~MutualInformationImageToImageMetric()

template<typename TFixedImage, typename TMovingImage>

itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::~MutualInformationImageToImageMetric ( )

overrideprotecteddefault

Member Function Documentation

◆ CalculateDerivatives()

template<typename TFixedImage, typename TMovingImage>

void itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::CalculateDerivatives	(	const FixedImagePointType &	,
		DerivativeType &	,
		TransformJacobianType &	) const

private

◆ CreateAnother()

template<typename TFixedImage, typename TMovingImage>

virtual::itk::LightObject::Pointer itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::CreateAnother ( ) const

virtual

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::LightObject.

◆ GetDerivative()

template<typename TFixedImage, typename TMovingImage>

void itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetDerivative	(	const ParametersType &	parameters,
		DerivativeType &	derivative ) const

overridevirtual

Get the derivatives of the match measure.

Implements itk::SingleValuedCostFunction.

◆ GetFixedImageStandardDeviation()

template<typename TFixedImage, typename TMovingImage>

virtual double itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetFixedImageStandardDeviation ( ) const

virtual

Set/Get the fixed image intensity standard deviation. This defines the kernel bandwidth used in the joint probability distribution calculation. Default value is 0.4 which works well for image intensities normalized to a mean of 0 and standard deviation of 1.0. Value is clamped to be always greater than zero.

◆ GetKernelFunction()

template<typename TFixedImage, typename TMovingImage>

virtual const KernelFunctionType * itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetKernelFunction ( ) const

virtual

Set/Get the kernel function. This is used to calculate the joint probability distribution. Default is the GaussianKernelFunction.

◆ GetModifiableKernelFunction()

template<typename TFixedImage, typename TMovingImage>

virtual KernelFunctionType * itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetModifiableKernelFunction ( )

virtual

Set/Get the kernel function. This is used to calculate the joint probability distribution. Default is the GaussianKernelFunction.

◆ GetMovingImageStandardDeviation()

template<typename TFixedImage, typename TMovingImage>

virtual const double & itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetMovingImageStandardDeviation ( ) const

virtual

Set/Get the moving image intensity standard deviation. This defines the kernel bandwidth used in the joint probability distribution calculation. Default value is 0.4 which works well for image intensities normalized to a mean of 0 and standard deviation of 1.0. Value is clamped to be always greater than zero.

References itk::NumericTraits< T >::NonpositiveMin().

◆ GetNameOfClass()

template<typename TFixedImage, typename TMovingImage>

const char * itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetNameOfClass ( ) const

overridevirtual

See also: LightObject::GetNameOfClass()

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

References MutualInformationImageToImageMetric().

◆ GetNumberOfSpatialSamples()

template<typename TFixedImage, typename TMovingImage>

virtual const unsigned int & itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfSpatialSamples ( ) const

virtual

Get the number of spatial samples.

References itk::NumericTraits< T >::NonpositiveMin().

◆ GetValue()

template<typename TFixedImage, typename TMovingImage>

MeasureType itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetValue ( const ParametersType & parameters ) const

overridevirtual

Get the value.

Implements itk::SingleValuedCostFunction.

◆ GetValueAndDerivative()

template<typename TFixedImage, typename TMovingImage>

void itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivative	(	const ParametersType &	parameters,
		MeasureType &	value,
		DerivativeType &	derivative ) const

overridevirtual

Get the value and derivatives for single valued optimizers.

Reimplemented from itk::SingleValuedCostFunction.

◆ New()

template<typename TFixedImage, typename TMovingImage>

static Pointer itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::New ( )

static

Method for creation through the object factory.

◆ PrintSelf()

template<typename TFixedImage, typename TMovingImage>

void itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::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::ImageToImageMetric< TFixedImage, TMovingImage >.

◆ SampleFixedImageDomain()

template<typename TFixedImage, typename TMovingImage>

virtual void itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::SampleFixedImageDomain ( SpatialSampleContainer & samples ) const

privatevirtual

Uniformly select samples from the fixed image buffer.

Each sample consists of:

the fixed image value
the corresponding moving image value

Warning: Note that this method has a different signature than the one in the base OptImageToImageMetric and therefore they are not intended to provide polymorphism. That is, this function is not overriding the one in the base class.

◆ SetFixedImageStandardDeviation()

template<typename TFixedImage, typename TMovingImage>

virtual void itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageStandardDeviation ( double _arg )

virtual

Set/Get the fixed image intensity standard deviation. This defines the kernel bandwidth used in the joint probability distribution calculation. Default value is 0.4 which works well for image intensities normalized to a mean of 0 and standard deviation of 1.0. Value is clamped to be always greater than zero.

References itk::NumericTraits< T >::max().

◆ SetKernelFunction()

template<typename TFixedImage, typename TMovingImage>

virtual void itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::SetKernelFunction ( KernelFunctionType * _arg )

virtual

Set/Get the kernel function. This is used to calculate the joint probability distribution. Default is the GaussianKernelFunction.

◆ SetMovingImageStandardDeviation()

template<typename TFixedImage, typename TMovingImage>

virtual void itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::SetMovingImageStandardDeviation ( double _arg )

virtual

Set/Get the moving image intensity standard deviation. This defines the kernel bandwidth used in the joint probability distribution calculation. Default value is 0.4 which works well for image intensities normalized to a mean of 0 and standard deviation of 1.0. Value is clamped to be always greater than zero.

References itk::NumericTraits< T >::max().

◆ SetNumberOfSpatialSamples()

template<typename TFixedImage, typename TMovingImage>

void itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::SetNumberOfSpatialSamples ( unsigned int num )

Set the number of spatial samples. This is the number of image samples used to calculate the joint probability distribution. The number of spatial samples is clamped to be a minimum of 1. Default value is 50.

Member Data Documentation

◆ m_DerivativeCalculator

template<typename TFixedImage, typename TMovingImage>

DerivativeFunctionType::Pointer itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::m_DerivativeCalculator {}

private

Definition at line 258 of file itkMutualInformationImageToImageMetric.h.

◆ m_FixedImageStandardDeviation

template<typename TFixedImage, typename TMovingImage>

double itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::m_FixedImageStandardDeviation {}

private

Definition at line 224 of file itkMutualInformationImageToImageMetric.h.

◆ m_KernelFunction

template<typename TFixedImage, typename TMovingImage>

KernelFunctionType::Pointer itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::m_KernelFunction {}

private

Definition at line 227 of file itkMutualInformationImageToImageMetric.h.

◆ m_MinProbability

template<typename TFixedImage, typename TMovingImage>

double itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::m_MinProbability {}

private

Definition at line 225 of file itkMutualInformationImageToImageMetric.h.

◆ m_MovingImageStandardDeviation

template<typename TFixedImage, typename TMovingImage>

double itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::m_MovingImageStandardDeviation {}

private

Definition at line 223 of file itkMutualInformationImageToImageMetric.h.

◆ m_NumberOfSpatialSamples

template<typename TFixedImage, typename TMovingImage>

unsigned int itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::m_NumberOfSpatialSamples {}

private

Definition at line 222 of file itkMutualInformationImageToImageMetric.h.

◆ m_SampleA

template<typename TFixedImage, typename TMovingImage>

SpatialSampleContainer itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::m_SampleA {}

mutableprivate

Container to store sample set A - used to approximate the probability density function (pdf).

Definition at line 216 of file itkMutualInformationImageToImageMetric.h.

◆ m_SampleB

template<typename TFixedImage, typename TMovingImage>

SpatialSampleContainer itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::m_SampleB {}

mutableprivate

Container to store sample set B - used to approximate the mutual information value.

Definition at line 220 of file itkMutualInformationImageToImageMetric.h.

◆ MovingImageDimension

template<typename TFixedImage, typename TMovingImage>

unsigned int itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MovingImageDimension = MovingImageType::ImageDimension

staticconstexpr

Enum of the moving image dimension.

Definition at line 131 of file itkMutualInformationImageToImageMetric.h.

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

itkMutualInformationImageToImageMetric.h

Detailed Description

Classes

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Member Functions

Private Types

Private Member Functions

Private Attributes

Additional Inherited Members

Member Typedef Documentation

◆ ConstPointer

◆ CoordinateRepresentationType

◆ DerivativeFunctionType

◆ DerivativeType

◆ FixedImageConstPointer

◆ FixedImageIndexType

◆ FixedImageIndexValueType

◆ FixedImagePointType

◆ FixedImageType

◆ InterpolatorType

◆ KernelFunctionType

◆ MeasureType

◆ MovingImageCosntPointer

◆ MovingImageIndexType

◆ MovingImagePointType

◆ MovingImageType

◆ ParametersType

◆ Pointer

◆ Self

◆ SpatialSampleContainer

◆ Superclass

◆ TransformJacobianType

◆ TransformPointer

◆ TransformType

Constructor & Destructor Documentation

◆ MutualInformationImageToImageMetric()

◆ ~MutualInformationImageToImageMetric()

Member Function Documentation

◆ CalculateDerivatives()

◆ CreateAnother()

◆ GetDerivative()

◆ GetFixedImageStandardDeviation()

◆ GetKernelFunction()

◆ GetModifiableKernelFunction()

◆ GetMovingImageStandardDeviation()

◆ GetNameOfClass()

◆ GetNumberOfSpatialSamples()

◆ GetValue()

◆ GetValueAndDerivative()

◆ New()

◆ PrintSelf()

◆ SampleFixedImageDomain()

◆ SetFixedImageStandardDeviation()

◆ SetKernelFunction()

◆ SetMovingImageStandardDeviation()

◆ SetNumberOfSpatialSamples()

Member Data Documentation

◆ m_DerivativeCalculator

◆ m_FixedImageStandardDeviation

◆ m_KernelFunction

◆ m_MinProbability

◆ m_MovingImageStandardDeviation

◆ m_NumberOfSpatialSamples

◆ m_SampleA

◆ m_SampleB

◆ MovingImageDimension