itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage > Class Template Reference

#include <itkAdvancedKappaStatisticImageToImageMetric.h>

Detailed Description

template<class TFixedImage, class TMovingImage>
class itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >

Computes similarity between two objects to be registered.

This class is templated over the type of the fixed and moving images to be compared. The metric here is designed for matching pixels in two images with the same exact value. Only one value can be considered (the default is 255) and can be specified with the SetForegroundValue method. In the computation of the metric, only foreground pixels are considered. The metric value is given by 2*|A&B|/(|A|+|B|), where A is the foreground region in the moving image, B is the foreground region in the fixed image, & is intersection, and |.| indicates the area of the enclosed set. The metric is described in "Morphometric Analysis of White Matter Lesions in MR Images: Method and Validation", A. P. Zijdenbos, B. M. Dawant, R. A. Margolin, A. C. Palmer.

This metric is especially useful when considering the similarity between binary images. Given the nature of binary images, a nearest neighbor interpolator is the preferred interpolator.

Metric values range from 0.0 (no foreground alignment) to 1.0 (perfect foreground alignment). When dealing with optimizers that can only minimize a metric, use the ComplementOn() method.

Definition at line 57 of file itkAdvancedKappaStatisticImageToImageMetric.h.

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

Data Structures
struct	KappaGetValueAndDerivativePerThreadStruct
struct	MultiThreaderAccumulateDerivativeType

Public Types
using	ConstPointer = SmartPointer< const Self >
using	DerivativeValueType = typename DerivativeType::ValueType
using	FixedImageLimiterOutputType = typename FixedImageLimiterType::OutputType
using	FixedImageLimiterType = LimiterFunctionBase< RealType, FixedImageDimension >
using	FixedImagePixelType = typename FixedImageType::PixelType
using	ImageSampleContainerPointer = typename ImageSamplerType::OutputVectorContainerPointer
using	ImageSampleContainerType = typename ImageSamplerType::OutputVectorContainerType
using	ImageSamplerPointer = typename ImageSamplerType::Pointer
using	ImageSamplerType = ImageSamplerBase< FixedImageType >
using	MovingImageDerivativeScalesType = FixedArray< double, Self::MovingImageDimension >
using	MovingImageLimiterOutputType = typename MovingImageLimiterType::OutputType
using	MovingImageLimiterType = LimiterFunctionBase< RealType, MovingImageDimension >
using	MovingImageRegionType = typename MovingImageType::RegionType
using	NumberOfParametersType = typename AdvancedTransformType::NumberOfParametersType
using	Pointer = SmartPointer< Self >
using	Self = AdvancedKappaStatisticImageToImageMetric
using	Superclass = AdvancedImageToImageMetric< TFixedImage, TMovingImage >
using	ThreaderType = itk::PlatformMultiThreader
using	ThreadInfoType = typename ThreaderType::WorkUnitInfo
Public Types inherited from itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >
using	AdvancedTransformType = AdvancedTransform< ScalarType, FixedImageDimension, MovingImageDimension >
using	BSplineOrder1TransformPointer = typename BSplineOrder1TransformType::Pointer
using	BSplineOrder1TransformType = AdvancedBSplineDeformableTransform< ScalarType, FixedImageDimension, 1 >
using	BSplineOrder2TransformPointer = typename BSplineOrder2TransformType::Pointer
using	BSplineOrder2TransformType = AdvancedBSplineDeformableTransform< ScalarType, FixedImageDimension, 2 >
using	BSplineOrder3TransformPointer = typename BSplineOrder3TransformType::Pointer
using	BSplineOrder3TransformType = AdvancedBSplineDeformableTransform< ScalarType, FixedImageDimension, 3 >
using	CombinationTransformType = AdvancedCombinationTransform< ScalarType, FixedImageDimension >
using	ConstPointer = SmartPointer< const Self >
using	DerivativeValueType = typename DerivativeType::ValueType
using	FixedImageLimiterOutputType = typename FixedImageLimiterType::OutputType
using	FixedImageLimiterPointer = typename FixedImageLimiterType::Pointer
using	FixedImageLimiterType = LimiterFunctionBase< RealType, FixedImageDimension >
using	FixedImageMaskSpatialObject2Type = ImageMaskSpatialObject< Self::FixedImageDimension >
using	FixedImagePixelType = typename FixedImageType::PixelType
using	FixedImagePointer = typename FixedImageType::Pointer
using	HessianType = vnl_sparse_matrix< HessianValueType >
using	HessianValueType = typename DerivativeType::ValueType
using	ImageSampleContainerPointer = typename ImageSamplerType::OutputVectorContainerPointer
using	ImageSampleContainerType = typename ImageSamplerType::OutputVectorContainerType
using	ImageSamplerPointer = typename ImageSamplerType::Pointer
using	ImageSamplerType = ImageSamplerBase< FixedImageType >
using	MovingImageDerivativeScalesType = FixedArray< double, Self::MovingImageDimension >
using	MovingImageLimiterOutputType = typename MovingImageLimiterType::OutputType
using	MovingImageLimiterPointer = typename MovingImageLimiterType::Pointer
using	MovingImageLimiterType = LimiterFunctionBase< RealType, MovingImageDimension >
using	MovingImageMaskSpatialObject2Type = ImageMaskSpatialObject< Self::MovingImageDimension >
using	MovingImagePointer = typename MovingImageType::Pointer
using	MovingImageRegionType = typename MovingImageType::RegionType
using	NumberOfParametersType = typename AdvancedTransformType::NumberOfParametersType
using	Pointer = SmartPointer< Self >
using	ScalarType = typename TransformType::ScalarType
using	Self = AdvancedImageToImageMetric
using	Superclass = ImageToImageMetric< TFixedImage, TMovingImage >
using	ThreaderType = itk::PlatformMultiThreader
using	ThreadInfoType = typename ThreaderType::WorkUnitInfo

Public Member Functions
virtual void	ComplementOff ()
virtual void	ComplementOn ()
void	ComputeGradient () override
virtual const char *	GetClassName () const
virtual const bool &	GetComplement ()
void	GetDerivative (const TransformParametersType &parameters, DerivativeType &derivative) const override
virtual const RealType &	GetEpsilon ()
virtual const RealType &	GetForegroundValue ()
MeasureType	GetValue (const TransformParametersType &parameters) const override
void	GetValueAndDerivative (const TransformParametersType &parameters, MeasureType &Value, DerivativeType &Derivative) const override
virtual void	GetValueAndDerivativeSingleThreaded (const TransformParametersType &parameters, MeasureType &Value, DerivativeType &Derivative) const
	ITK_DISALLOW_COPY_AND_MOVE (AdvancedKappaStatisticImageToImageMetric)
	itkStaticConstMacro (FixedImageDimension, unsigned int, FixedImageType::ImageDimension)
	itkStaticConstMacro (MovingImageDimension, unsigned int, MovingImageType::ImageDimension)
virtual void	SetComplement (bool _arg)
virtual void	SetEpsilon (RealType _arg)
virtual void	SetForegroundValue (RealType _arg)
virtual void	SetUseForegroundValue (bool _arg)
Public Member Functions inherited from itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >
virtual void	BeforeThreadedGetValueAndDerivative (const TransformParametersType &parameters) const
virtual const char *	GetClassName () const
virtual const FixedImageLimiterType *	GetFixedImageLimiter ()
virtual double	GetFixedLimitRangeRatio () const
virtual ImageSamplerType *	GetImageSampler () const
virtual const MovingImageDerivativeScalesType &	GetMovingImageDerivativeScales ()
virtual const MovingImageLimiterType *	GetMovingImageLimiter ()
virtual double	GetMovingLimitRangeRatio () const
virtual double	GetRequiredRatioOfValidSamples () const
virtual bool	GetScaleGradientWithRespectToMovingImageOrientation () const
virtual void	GetSelfHessian (const TransformParametersType &parameters, HessianType &H) const
const AdvancedTransformType *	GetTransform () const override
virtual bool	GetUseFixedImageLimiter () const
virtual bool	GetUseImageSampler () const
virtual const bool &	GetUseMetricSingleThreaded ()
virtual bool	GetUseMovingImageDerivativeScales () const
virtual bool	GetUseMovingImageLimiter () const
virtual const bool &	GetUseMultiThread ()
void	Initialize () override
	ITK_DISALLOW_COPY_AND_MOVE (AdvancedImageToImageMetric)
	itkStaticConstMacro (FixedImageDimension, unsigned int, TFixedImage::ImageDimension)
	itkStaticConstMacro (MovingImageDimension, unsigned int, TMovingImage::ImageDimension)
virtual void	SetFixedImageLimiter (FixedImageLimiterType *_arg)
virtual void	SetFixedLimitRangeRatio (double _arg)
virtual void	SetImageSampler (ImageSamplerType *_arg)
virtual void	SetMovingImageDerivativeScales (MovingImageDerivativeScalesType _arg)
virtual void	SetMovingImageLimiter (MovingImageLimiterType *_arg)
virtual void	SetMovingLimitRangeRatio (double _arg)
virtual void	SetNumberOfWorkUnits (ThreadIdType numberOfThreads)
virtual void	SetRequiredRatioOfValidSamples (double _arg)
virtual void	SetScaleGradientWithRespectToMovingImageOrientation (bool _arg)
virtual void	SetTransform (AdvancedTransformType *arg)
virtual void	SetUseMetricSingleThreaded (bool _arg)
virtual void	SetUseMovingImageDerivativeScales (bool _arg)
virtual void	SetUseMultiThread (bool _arg)
virtual void	UseMetricSingleThreadedOff ()
virtual void	UseMetricSingleThreadedOn ()
virtual void	UseMultiThreadOff ()
virtual void	UseMultiThreadOn ()

Static Public Member Functions
static Pointer	New ()

Protected Types
using	BSplineInterpolatorType = BSplineInterpolateImageFunction< MovingImageType, CoordinateRepresentationType, double >
using	CentralDifferenceGradientFilterType = GradientImageFilter< MovingImageType, RealType, RealType >
using	FixedImageIndexType = typename FixedImageType::IndexType
using	FixedImageIndexValueType = typename FixedImageIndexType::IndexValueType
using	FixedImagePointType = typename TransformType::InputPointType
using	MovingImageContinuousIndexType = typename InterpolatorType::ContinuousIndexType
using	MovingImageDerivativeType = typename BSplineInterpolatorType::CovariantVectorType
using	MovingImageIndexType = typename MovingImageType::IndexType
using	MovingImagePointType = typename TransformType::OutputPointType
using	NonZeroJacobianIndicesType = typename AdvancedTransformType::NonZeroJacobianIndicesType
Protected Types inherited from itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >
using	BSplineInterpolatorFloatPointer = typename BSplineInterpolatorFloatType::Pointer
using	BSplineInterpolatorFloatType = BSplineInterpolateImageFunction< MovingImageType, CoordinateRepresentationType, float >
using	BSplineInterpolatorPointer = typename BSplineInterpolatorType::Pointer
using	BSplineInterpolatorType = BSplineInterpolateImageFunction< MovingImageType, CoordinateRepresentationType, double >
using	CentralDifferenceGradientFilterPointer = typename CentralDifferenceGradientFilterType::Pointer
using	CentralDifferenceGradientFilterType = GradientImageFilter< MovingImageType, RealType, RealType >
using	FixedImageIndexType = typename FixedImageType::IndexType
using	FixedImageIndexValueType = typename FixedImageIndexType::IndexValueType
using	FixedImagePointType = typename TransformType::InputPointType
using	LinearInterpolatorPointer = typename LinearInterpolatorType::Pointer
using	LinearInterpolatorType = AdvancedLinearInterpolateImageFunction< MovingImageType, CoordinateRepresentationType >
using	MovingImageContinuousIndexType = typename InterpolatorType::ContinuousIndexType
using	MovingImageDerivativeType = typename BSplineInterpolatorType::CovariantVectorType
using	MovingImageIndexType = typename MovingImageType::IndexType
using	MovingImagePointType = typename TransformType::OutputPointType
using	NonZeroJacobianIndicesType = typename AdvancedTransformType::NonZeroJacobianIndicesType
using	ReducedBSplineInterpolatorPointer = typename ReducedBSplineInterpolatorType::Pointer
using	ReducedBSplineInterpolatorType = ReducedDimensionBSplineInterpolateImageFunction< MovingImageType, CoordinateRepresentationType, double >

Protected Member Functions
	AdvancedKappaStatisticImageToImageMetric ()
void	AfterThreadedGetValueAndDerivative (MeasureType &value, DerivativeType &derivative) const override
void	InitializeThreadingParameters () const override
void	PrintSelf (std::ostream &os, Indent indent) const override
void	ThreadedGetValueAndDerivative (ThreadIdType threadID) override
void	UpdateValueAndDerivativeTerms (const RealType &fixedImageValue, const RealType &movingImageValue, std::vcl_size_t &fixedForegroundArea, std::vcl_size_t &movingForegroundArea, std::vcl_size_t &intersection, const DerivativeType &imageJacobian, const NonZeroJacobianIndicesType &nzji, DerivativeType &sum1, DerivativeType &sum2) const
	~AdvancedKappaStatisticImageToImageMetric () override=default
Protected Member Functions inherited from itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >
	AdvancedImageToImageMetric ()
virtual void	AfterThreadedGetValue (MeasureType &value) const
virtual void	AfterThreadedGetValueAndDerivative (MeasureType &value, DerivativeType &derivative) const
virtual void	CheckForAdvancedTransform ()
virtual void	CheckForBSplineInterpolator ()
virtual void	CheckForBSplineTransform () const
virtual void	CheckNumberOfSamples (unsigned long wanted, unsigned long found) const
virtual bool	EvaluateMovingImageValueAndDerivative (const MovingImagePointType &mappedPoint, RealType &movingImageValue, MovingImageDerivativeType *gradient) const
virtual bool	EvaluateTransformJacobian (const FixedImagePointType &fixedImagePoint, TransformJacobianType &jacobian, NonZeroJacobianIndicesType &nzji) const
virtual void	EvaluateTransformJacobianInnerProduct (const TransformJacobianType &jacobian, const MovingImageDerivativeType &movingImageDerivative, DerivativeType &imageJacobian) const
bool	FastEvaluateMovingImageValueAndDerivative (const MovingImagePointType &mappedPoint, RealType &movingImageValue, MovingImageDerivativeType *gradient, const ThreadIdType threadId) const
virtual void	InitializeImageSampler ()
virtual void	InitializeLimiters ()
virtual void	InitializeThreadingParameters () const
virtual bool	IsInsideMovingMask (const MovingImagePointType &point) const
	itkAlignedTypedef (ITK_CACHE_LINE_ALIGNMENT, PaddedGetValueAndDerivativePerThreadStruct, AlignedGetValueAndDerivativePerThreadStruct)
	itkAlignedTypedef (ITK_CACHE_LINE_ALIGNMENT, PaddedGetValuePerThreadStruct, AlignedGetValuePerThreadStruct)
	itkPadStruct (ITK_CACHE_LINE_ALIGNMENT, GetValueAndDerivativePerThreadStruct, PaddedGetValueAndDerivativePerThreadStruct)
	itkPadStruct (ITK_CACHE_LINE_ALIGNMENT, GetValuePerThreadStruct, PaddedGetValuePerThreadStruct)
void	LaunchGetValueAndDerivativeThreaderCallback () const
void	LaunchGetValueThreaderCallback () const
void	PrintSelf (std::ostream &os, Indent indent) const override
virtual void	SetUseFixedImageLimiter (bool _arg)
virtual void	SetUseImageSampler (bool _arg)
virtual void	SetUseMovingImageLimiter (bool _arg)
virtual void	ThreadedGetValue (ThreadIdType threadID)
virtual void	ThreadedGetValueAndDerivative (ThreadIdType threadID)
MovingImagePointType	TransformPoint (const FixedImagePointType &fixedImagePoint) const
	~AdvancedImageToImageMetric () override=default

Static Protected Member Functions
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION	AccumulateDerivativesThreaderCallback (void *arg)
Static Protected Member Functions inherited from itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION	AccumulateDerivativesThreaderCallback (void *arg)
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION	GetValueAndDerivativeThreaderCallback (void *arg)
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION	GetValueThreaderCallback (void *arg)

Private Member Functions
	itkAlignedTypedef (ITK_CACHE_LINE_ALIGNMENT, PaddedKappaGetValueAndDerivativePerThreadStruct, AlignedKappaGetValueAndDerivativePerThreadStruct)
	itkPadStruct (ITK_CACHE_LINE_ALIGNMENT, KappaGetValueAndDerivativePerThreadStruct, PaddedKappaGetValueAndDerivativePerThreadStruct)

Private Attributes
bool	m_Complement
RealType	m_Epsilon
RealType	m_ForegroundValue
std::vector< AlignedKappaGetValueAndDerivativePerThreadStruct >	m_KappaGetValueAndDerivativePerThreadVariables
bool	m_UseForegroundValue

Additional Inherited Members
Protected Attributes inherited from itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >
AdvancedTransformType::Pointer	m_AdvancedTransform { nullptr }
BSplineInterpolatorPointer	m_BSplineInterpolator { nullptr }
BSplineInterpolatorFloatPointer	m_BSplineInterpolatorFloat { nullptr }
CentralDifferenceGradientFilterPointer	m_CentralDifferenceGradientFilter { nullptr }
FixedImageLimiterPointer	m_FixedImageLimiter { nullptr }
FixedImageLimiterOutputType	m_FixedImageMaxLimit { 1 }
FixedImageLimiterOutputType	m_FixedImageMinLimit { 0 }
FixedImagePixelType	m_FixedImageTrueMax { 1 }
FixedImagePixelType	m_FixedImageTrueMin { 0 }
double	m_FixedLimitRangeRatio { 0.01 }
std::unique_ptr< AlignedGetValueAndDerivativePerThreadStruct[]>	m_GetValueAndDerivativePerThreadVariables
ThreadIdType	m_GetValueAndDerivativePerThreadVariablesSize { 0 }
std::unique_ptr< AlignedGetValuePerThreadStruct[]>	m_GetValuePerThreadVariables { nullptr }
ThreadIdType	m_GetValuePerThreadVariablesSize { 0 }
ImageSamplerPointer	m_ImageSampler { nullptr }
bool	m_InterpolatorIsBSpline { false }
bool	m_InterpolatorIsBSplineFloat { false }
bool	m_InterpolatorIsLinear { false }
bool	m_InterpolatorIsReducedBSpline { false }
LinearInterpolatorPointer	m_LinearInterpolator { nullptr }
MovingImageLimiterPointer	m_MovingImageLimiter { nullptr }
MovingImageLimiterOutputType	m_MovingImageMaxLimit { 1 }
MovingImageLimiterOutputType	m_MovingImageMinLimit { 0 }
MovingImagePixelType	m_MovingImageTrueMax { 1 }
MovingImagePixelType	m_MovingImageTrueMin { 0 }
double	m_MovingLimitRangeRatio { 0.01 }
ReducedBSplineInterpolatorPointer	m_ReducedBSplineInterpolator { nullptr }
MultiThreaderParameterType	m_ThreaderMetricParameters
bool	m_TransformIsAdvanced { false }
bool	m_TransformIsBSpline { false }
bool	m_UseMetricSingleThreaded { true }
bool	m_UseMultiThread { false }
bool	m_UseOpenMP

Member Typedef Documentation

BSplineInterpolatorType

template<class TFixedImage , class TMovingImage >

using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::BSplineInterpolatorType = BSplineInterpolateImageFunction<MovingImageType, CoordinateRepresentationType, double>

protected

Typedefs used for computing image derivatives.

Definition at line 321 of file itkAdvancedImageToImageMetric.h.

CentralDifferenceGradientFilterType

template<class TFixedImage , class TMovingImage >

using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::CentralDifferenceGradientFilterType = GradientImageFilter<MovingImageType, RealType, RealType>

protected

Definition at line 333 of file itkAdvancedImageToImageMetric.h.

ConstPointer

template<class TFixedImage , class TMovingImage >

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

Definition at line 67 of file itkAdvancedKappaStatisticImageToImageMetric.h.

DerivativeValueType

template<class TFixedImage , class TMovingImage >

using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::DerivativeValueType = typename DerivativeType::ValueType

Definition at line 131 of file itkAdvancedImageToImageMetric.h.

FixedImageIndexType

template<class TFixedImage , class TMovingImage >

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

protected

Protected Typedefs Typedefs for indices and points.

Definition at line 313 of file itkAdvancedImageToImageMetric.h.

FixedImageIndexValueType

template<class TFixedImage , class TMovingImage >

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

protected

Definition at line 314 of file itkAdvancedImageToImageMetric.h.

FixedImageLimiterOutputType

template<class TFixedImage , class TMovingImage >

using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::FixedImageLimiterOutputType = typename FixedImageLimiterType::OutputType

Definition at line 151 of file itkAdvancedImageToImageMetric.h.

FixedImageLimiterType

template<class TFixedImage , class TMovingImage >

using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::FixedImageLimiterType = LimiterFunctionBase<RealType, FixedImageDimension>

Typedefs for Limiter support.

Definition at line 149 of file itkAdvancedImageToImageMetric.h.

FixedImagePixelType

template<class TFixedImage , class TMovingImage >

using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::FixedImagePixelType = typename FixedImageType::PixelType

Some useful extra typedefs.

Definition at line 138 of file itkAdvancedImageToImageMetric.h.

FixedImagePointType

template<class TFixedImage , class TMovingImage >

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

protected

Definition at line 316 of file itkAdvancedImageToImageMetric.h.

ImageSampleContainerPointer

template<class TFixedImage , class TMovingImage >

using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::ImageSampleContainerPointer = typename ImageSamplerType::OutputVectorContainerPointer

Definition at line 146 of file itkAdvancedImageToImageMetric.h.

ImageSampleContainerType

template<class TFixedImage , class TMovingImage >

using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::ImageSampleContainerType = typename ImageSamplerType::OutputVectorContainerType

Definition at line 145 of file itkAdvancedImageToImageMetric.h.

ImageSamplerPointer

template<class TFixedImage , class TMovingImage >

using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::ImageSamplerPointer = typename ImageSamplerType::Pointer

Definition at line 144 of file itkAdvancedImageToImageMetric.h.

ImageSamplerType

template<class TFixedImage , class TMovingImage >

using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::ImageSamplerType = ImageSamplerBase<FixedImageType>

Typedefs for the ImageSampler.

Definition at line 143 of file itkAdvancedImageToImageMetric.h.

MovingImageContinuousIndexType

template<class TFixedImage , class TMovingImage >

using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::MovingImageContinuousIndexType = typename InterpolatorType::ContinuousIndexType

protected

Definition at line 318 of file itkAdvancedImageToImageMetric.h.

MovingImageDerivativeScalesType

template<class TFixedImage , class TMovingImage >

using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::MovingImageDerivativeScalesType = FixedArray<double, Self::MovingImageDimension>

Definition at line 140 of file itkAdvancedImageToImageMetric.h.

MovingImageDerivativeType

template<class TFixedImage , class TMovingImage >

using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::MovingImageDerivativeType = typename BSplineInterpolatorType::CovariantVectorType

protected

Definition at line 332 of file itkAdvancedImageToImageMetric.h.

MovingImageIndexType

template<class TFixedImage , class TMovingImage >

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

protected

Definition at line 315 of file itkAdvancedImageToImageMetric.h.

MovingImageLimiterOutputType

template<class TFixedImage , class TMovingImage >

using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::MovingImageLimiterOutputType = typename MovingImageLimiterType::OutputType

Definition at line 154 of file itkAdvancedImageToImageMetric.h.

MovingImageLimiterType

template<class TFixedImage , class TMovingImage >

using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::MovingImageLimiterType = LimiterFunctionBase<RealType, MovingImageDimension>

Definition at line 152 of file itkAdvancedImageToImageMetric.h.

MovingImagePointType

template<class TFixedImage , class TMovingImage >

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

protected

Definition at line 317 of file itkAdvancedImageToImageMetric.h.

MovingImageRegionType

template<class TFixedImage , class TMovingImage >

using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::MovingImageRegionType = typename MovingImageType::RegionType

Definition at line 139 of file itkAdvancedImageToImageMetric.h.

NonZeroJacobianIndicesType

template<class TFixedImage , class TMovingImage >

using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::NonZeroJacobianIndicesType = typename AdvancedTransformType::NonZeroJacobianIndicesType

protected

Typedefs for support of sparse Jacobians and compact support of transformations.

Definition at line 337 of file itkAdvancedImageToImageMetric.h.

NumberOfParametersType

template<class TFixedImage , class TMovingImage >

using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::NumberOfParametersType = typename AdvancedTransformType::NumberOfParametersType

Definition at line 159 of file itkAdvancedImageToImageMetric.h.

Pointer

template<class TFixedImage , class TMovingImage >

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

Definition at line 66 of file itkAdvancedKappaStatisticImageToImageMetric.h.

Self

template<class TFixedImage , class TMovingImage >

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

Standard class typedefs.

Definition at line 64 of file itkAdvancedKappaStatisticImageToImageMetric.h.

Superclass

template<class TFixedImage , class TMovingImage >

using itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::Superclass = AdvancedImageToImageMetric<TFixedImage, TMovingImage>

Definition at line 65 of file itkAdvancedKappaStatisticImageToImageMetric.h.

ThreaderType

template<class TFixedImage , class TMovingImage >

using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::ThreaderType = itk::PlatformMultiThreader

Typedefs for multi-threading.

Definition at line 175 of file itkAdvancedImageToImageMetric.h.

ThreadInfoType

template<class TFixedImage , class TMovingImage >

using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::ThreadInfoType = typename ThreaderType::WorkUnitInfo

Definition at line 176 of file itkAdvancedImageToImageMetric.h.

Constructor & Destructor Documentation

AdvancedKappaStatisticImageToImageMetric()

template<class TFixedImage , class TMovingImage >

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

protected

~AdvancedKappaStatisticImageToImageMetric()

template<class TFixedImage , class TMovingImage >

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

overrideprotecteddefault

Member Function Documentation

AccumulateDerivativesThreaderCallback()

template<class TFixedImage , class TMovingImage >

static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::AccumulateDerivativesThreaderCallback ( void *  arg )

staticprotected

AccumulateDerivatives threader callback function

AfterThreadedGetValueAndDerivative()

template<class TFixedImage , class TMovingImage >

void itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::AfterThreadedGetValueAndDerivative ( MeasureType &  value, DerivativeType &  derivative  ) const

overrideprotectedvirtual

Gather the values and derivatives from all threads

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

ComplementOff()

template<class TFixedImage , class TMovingImage >

virtual void itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::ComplementOff ( )

virtual

ComplementOn()

template<class TFixedImage , class TMovingImage >

virtual void itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::ComplementOn ( )

virtual

ComputeGradient()

template<class TFixedImage , class TMovingImage >

void itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::ComputeGradient ( )

override

Computes the moving gradient image dM/dx.

GetClassName()

template<class TFixedImage , class TMovingImage >

virtual const char * itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::GetClassName ( ) const

virtual

Run-time type information (and related methods).

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

Reimplemented in elastix::AdvancedKappaStatisticMetric< TElastix >.

GetComplement()

template<class TFixedImage , class TMovingImage >

virtual const bool & itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::GetComplement ( )

virtual

GetDerivative()

template<class TFixedImage , class TMovingImage >

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

override

Get the derivatives of the match measure.

GetEpsilon()

template<class TFixedImage , class TMovingImage >

virtual const RealType & itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::GetEpsilon ( )

virtual

GetForegroundValue()

template<class TFixedImage , class TMovingImage >

virtual const RealType & itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::GetForegroundValue ( )

virtual

GetValue()

template<class TFixedImage , class TMovingImage >

MeasureType itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::GetValue ( const TransformParametersType &  parameters ) const

override

Get the value for single valued optimizers.

GetValueAndDerivative()

template<class TFixedImage , class TMovingImage >

void itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivative ( const TransformParametersType &  parameters, MeasureType &  Value, DerivativeType &  Derivative  ) const

override

GetValueAndDerivativeSingleThreaded()

template<class TFixedImage , class TMovingImage >

virtual void itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeSingleThreaded ( const TransformParametersType &  parameters, MeasureType &  Value, DerivativeType &  Derivative  ) const

virtual

Get value and derivatives for multiple valued optimizers.

InitializeThreadingParameters()

template<class TFixedImage , class TMovingImage >

void itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::InitializeThreadingParameters ( ) const

overrideprotectedvirtual

Initialize some multi-threading related parameters. Overrides function in AdvancedImageToImageMetric, because here we use other parameters.

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

ITK_DISALLOW_COPY_AND_MOVE()

template<class TFixedImage , class TMovingImage >

itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::ITK_DISALLOW_COPY_AND_MOVE

(

AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >

)

itkAlignedTypedef()

template<class TFixedImage , class TMovingImage >

itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::itkAlignedTypedef ( ITK_CACHE_LINE_ALIGNMENT  , PaddedKappaGetValueAndDerivativePerThreadStruct  , AlignedKappaGetValueAndDerivativePerThreadStruct    )

private

itkPadStruct()

template<class TFixedImage , class TMovingImage >

itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::itkPadStruct ( ITK_CACHE_LINE_ALIGNMENT  , KappaGetValueAndDerivativePerThreadStruct  , PaddedKappaGetValueAndDerivativePerThreadStruct    )

private

itkStaticConstMacro() [1/2]

template<class TFixedImage , class TMovingImage >

itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::itkStaticConstMacro	(	FixedImageDimension	,
		unsigned int	,
		FixedImageType::ImageDimension
	)

The fixed image dimension.

itkStaticConstMacro() [2/2]

template<class TFixedImage , class TMovingImage >

itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::itkStaticConstMacro	(	MovingImageDimension	,
		unsigned int	,
		MovingImageType::ImageDimension
	)

The moving image dimension.

New()

template<class TFixedImage , class TMovingImage >

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

static

Method for creation through the object factory.

PrintSelf()

template<class TFixedImage , class TMovingImage >

void itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::PrintSelf ( std::ostream &  os, Indent  indent  ) const

overrideprotected

PrintSelf.

SetComplement()

template<class TFixedImage , class TMovingImage >

virtual void itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::SetComplement ( bool  _arg )

virtual

Set/Get whether this metric returns 2*|A&B|/(|A|+|B|) (ComplementOff, the default) or 1.0 - 2*|A&B|/(|A|+|B|) (ComplementOn). When using an optimizer that minimizes metric values use ComplementOn().

SetEpsilon()

template<class TFixedImage , class TMovingImage >

virtual void itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::SetEpsilon ( RealType  _arg )

virtual

Set the precision.

SetForegroundValue()

template<class TFixedImage , class TMovingImage >

virtual void itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::SetForegroundValue ( RealType  _arg )

virtual

This method allows the user to set the foreground value. The default value is 1.0.

SetUseForegroundValue()

template<class TFixedImage , class TMovingImage >

virtual void itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::SetUseForegroundValue ( bool  _arg )

virtual

Select which kind of kappa to compute: 1) compare with a foreground value 2) compare if larger than zero

ThreadedGetValueAndDerivative()

template<class TFixedImage , class TMovingImage >

void itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::ThreadedGetValueAndDerivative ( ThreadIdType  threadID )

overrideprotectedvirtual

Get value and derivatives for each thread.

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

UpdateValueAndDerivativeTerms()

template<class TFixedImage , class TMovingImage >

void itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::UpdateValueAndDerivativeTerms ( const RealType &  fixedImageValue, const RealType &  movingImageValue, std::vcl_size_t &  fixedForegroundArea, std::vcl_size_t &  movingForegroundArea, std::vcl_size_t &  intersection, const DerivativeType &  imageJacobian, const NonZeroJacobianIndicesType &  nzji, DerivativeType &  sum1, DerivativeType &  sum2  ) const

protected

Compute a pixel's contribution to the measure and derivatives; Called by GetValueAndDerivative().

Field Documentation

m_Complement

template<class TFixedImage , class TMovingImage >

bool itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::m_Complement

private

Definition at line 231 of file itkAdvancedKappaStatisticImageToImageMetric.h.

m_Epsilon

template<class TFixedImage , class TMovingImage >

RealType itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::m_Epsilon

private

Definition at line 230 of file itkAdvancedKappaStatisticImageToImageMetric.h.

m_ForegroundValue

template<class TFixedImage , class TMovingImage >

RealType itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::m_ForegroundValue

private

Definition at line 229 of file itkAdvancedKappaStatisticImageToImageMetric.h.

m_KappaGetValueAndDerivativePerThreadVariables

template<class TFixedImage , class TMovingImage >

std::vector<AlignedKappaGetValueAndDerivativePerThreadStruct> itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::m_KappaGetValueAndDerivativePerThreadVariables

mutableprivate

Definition at line 261 of file itkAdvancedKappaStatisticImageToImageMetric.h.

m_UseForegroundValue

template<class TFixedImage , class TMovingImage >

bool itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage >::m_UseForegroundValue

private

Definition at line 228 of file itkAdvancedKappaStatisticImageToImageMetric.h.