itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage > Class Template Reference
[Similarity Metrics of Registration Methods]

#include <itkMutualInformationImageToImageMetric.h>

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

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

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List of all members.

Detailed Description

template<class TFixedImage, class 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 KernelFunction 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().

Implementaton of this class is based on: Viola, P. and Wells III, W. (1997). "Alignment by Maximization of Mutual Information" International Journal of Computer Vision, 24(2):137-154

See also:: KernelFunction
GaussianKernelFunction

Definition at line 90 of file itkMutualInformationImageToImageMetric.h.


Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::DerivativeType	DerivativeType
typedef Superclass::FixedImageConstPointer	FixedImageConstPointer
typedef std::vector < FixedImageIndexType >	FixedImageIndexContainer
typedef FixedImageType::IndexType	FixedImageIndexType
typedef FixedImageIndexType::IndexValueType	FixedImageIndexValueType
typedef FixedImageMaskType::ConstPointer	FixedImageMaskConstPointer
typedef FixedImageMaskType::Pointer	FixedImageMaskPointer
typedef FixedImageMaskType::Pointer	FixedImageMaskPointer
typedef SpatialObject < itkGetStaticConstMacro(FixedImageDimension) >	FixedImageMaskType
typedef SpatialObject < itkGetStaticConstMacro(FixedImageDimension) >	FixedImageMaskType
typedef TFixedImage::PixelType	FixedImagePixelType
typedef TransformType::InputPointType	FixedImagePointType
typedef FixedImageType::RegionType	FixedImageRegionType
typedef FixedImageType::RegionType	FixedImageRegionType
typedef Superclass::FixedImageType	FixedImageType
typedef TransformType::InputPointType	InputPointType
typedef TransformType::InputPointType	InputPointType
typedef InterpolatorType::Pointer	InterpolatorPointer
typedef InterpolatorType::Pointer	InterpolatorPointer
typedef Superclass::InterpolatorType	InterpolatorType
typedef Superclass::MeasureType	MeasureType
typedef MovingImageType::ConstPointer	MovingImageConstPointer
typedef MovingImageType::ConstPointer	MovingImageConstPointer
typedef Superclass::MovingImageConstPointer	MovingImageCosntPointer
typedef MovingImageType::IndexType	MovingImageIndexType
typedef MovingImageMaskType::ConstPointer	MovingImageMaskConstPointer
typedef MovingImageMaskType::Pointer	MovingImageMaskPointer
typedef MovingImageMaskType::Pointer	MovingImageMaskPointer
typedef SpatialObject < itkGetStaticConstMacro(MovingImageDimension) >	MovingImageMaskType
typedef SpatialObject < itkGetStaticConstMacro(MovingImageDimension) >	MovingImageMaskType
typedef TMovingImage::PixelType	MovingImagePixelType
typedef TMovingImage::PixelType	MovingImagePixelType
typedef TransformType::OutputPointType	MovingImagePointType
typedef Superclass::MovingImageType	MovingImageType
typedef TransformType::OutputPointType	OutputPointType
typedef TransformType::OutputPointType	OutputPointType
typedef Superclass::ParametersType	ParametersType
typedef double	ParametersValueType
typedef SmartPointer< Self >	Pointer
typedef MutualInformationImageToImageMetric	Self
typedef ImageToImageMetric < TFixedImage, TMovingImage >	Superclass
typedef Superclass::TransformJacobianType	TransformJacobianType
typedef TransformType::ParametersType	TransformParametersType
typedef TransformType::ParametersType	TransformParametersType
typedef Superclass::TransformPointer	TransformPointer
typedef Superclass::TransformType	TransformType

typedef GradientImageFilterType::Pointer	GradientImageFilterPointer
typedef GradientRecursiveGaussianImageFilter < MovingImageType, GradientImageType >	GradientImageFilterType
typedef SmartPointer < GradientImageType >	GradientImagePointer
typedef Image < GradientPixelType, itkGetStaticConstMacro(MovingImageDimension)>	GradientImageType
typedef CovariantVector < RealType, itkGetStaticConstMacro(MovingImageDimension)>	GradientPixelType
typedef NumericTraits < MovingImagePixelType > ::RealType	RealType

typedef GradientImageFilterType::Pointer	GradientImageFilterPointer
typedef GradientRecursiveGaussianImageFilter < MovingImageType, GradientImageType >	GradientImageFilterType
typedef SmartPointer < GradientImageType >	GradientImagePointer
typedef Image < GradientPixelType, itkGetStaticConstMacro(MovingImageDimension)>	GradientImageType
typedef CovariantVector < RealType, itkGetStaticConstMacro(MovingImageDimension)>	GradientPixelType
typedef NumericTraits < MovingImagePixelType > ::RealType	RealType
Public Member Functions
virtual void	ComputeGradient (void)
virtual void	ComputeGradient ()
virtual LightObject::Pointer	CreateAnother () const
virtual void	DebugOff () const
virtual void	DebugOn () const
virtual void	Delete ()
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
virtual void	GetDerivative (const ParametersType &parameters, DerivativeType &derivative) const =0
void	GetDerivative (const ParametersType &parameters, DerivativeType &Derivative) const
virtual const FixedImageType *	GetFixedImage ()
virtual const FixedImageType *	GetFixedImage ()
virtual const FixedImageRegionType &	GetFixedImageRegion ()
virtual const FixedImageRegionType &	GetFixedImageRegion ()
virtual const GradientImageType *	GetGradientImage ()
virtual const GradientImageType *	GetGradientImage ()
virtual const InterpolatorType *	GetInterpolator ()
virtual const InterpolatorType *	GetInterpolator ()
const MetaDataDictionary &	GetMetaDataDictionary (void) const
MetaDataDictionary &	GetMetaDataDictionary (void)
virtual const MovingImageType *	GetMovingImage ()
virtual const MovingImageType *	GetMovingImage ()
virtual unsigned long	GetMTime () const
virtual const char *	GetNameOfClass () const
virtual const unsigned long &	GetNumberOfFixedImageSamples ()
unsigned int	GetNumberOfParameters (void) const
unsigned int	GetNumberOfParameters (void) const
virtual const unsigned long &	GetNumberOfPixelsCounted ()
virtual const unsigned long &	GetNumberOfPixelsCounted ()
virtual const unsigned int &	GetNumberOfSpatialSamples ()
virtual int	GetReferenceCount () const
virtual const TransformType *	GetTransform ()
virtual const TransformType *	GetTransform ()
virtual MeasureType	GetValue (const ParametersType &parameters) const =0
MeasureType	GetValue (const ParametersType &parameters) const
void	GetValueAndDerivative (const ParametersType &parameters, MeasureType &Value, DerivativeType &Derivative) const
bool	HasObserver (const EventObject &event) const
virtual void	Initialize (void) throw ( ExceptionObject )
virtual void	Initialize (void) throw ( ExceptionObject )
void	InvokeEvent (const EventObject &) const
void	InvokeEvent (const EventObject &)
	itkStaticConstMacro (MovingImageDimension, unsigned int, MovingImageType::ImageDimension)
virtual void	Modified () const
virtual void	MultiThreadingInitialize (void) throw ( ExceptionObject )
void	Print (std::ostream &os, Indent indent=0) const
virtual void	Register () const
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	SetDebug (bool debugFlag) const
virtual void	SetFixedImage (const FixedImageType *_arg)
virtual void	SetFixedImage (const FixedImageType *_arg)
void	SetFixedImageIndexes (const FixedImageIndexContainer &indexes)
virtual void	SetFixedImageRegion (FixedImageRegionType _arg)
virtual void	SetFixedImageRegion (FixedImageRegionType _arg)
virtual void	SetInterpolator (InterpolatorType *_arg)
virtual void	SetInterpolator (InterpolatorType *_arg)
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetMovingImage (const MovingImageType *_arg)
virtual void	SetMovingImage (const MovingImageType *_arg)
void	SetNumberOfSpatialSamples (unsigned long num)
void	SetNumberOfSpatialSamples (unsigned int num)
virtual void	SetReferenceCount (int)
virtual void	SetTransform (TransformType *_arg)
virtual void	SetTransform (TransformType *_arg)
void	SetTransformParameters (const ParametersType &parameters) const
void	SetTransformParameters (const ParametersType &parameters) const
virtual void	UnRegister () const

unsigned long	AddObserver (const EventObject &event, Command *) const
unsigned long	AddObserver (const EventObject &event, Command *)

virtual void	ComputeGradientOff ()
virtual void	ComputeGradientOn ()
virtual const bool &	GetComputeGradient ()
virtual void	SetComputeGradient (bool _arg)

virtual void	ComputeGradientOff ()
virtual void	ComputeGradientOn ()
virtual const bool &	GetComputeGradient ()
virtual void	SetComputeGradient (bool _arg)

virtual const FixedImageMaskType *	GetFixedImageMask ()
virtual void	SetFixedImageMask (const FixedImageMaskType *_arg)

virtual const FixedImageMaskType *	GetFixedImageMask ()
virtual void	SetFixedImageMask (FixedImageMaskType *_arg)

virtual const FixedImagePixelType &	GetFixedImageSamplesIntensityThreshold ()
virtual const bool &	GetUseFixedImageSamplesIntensityThreshold ()
void	SetFixedImageSamplesIntensityThreshold (const FixedImagePixelType &thresh)
virtual void	SetUseFixedImageSamplesIntensityThreshold (bool _arg)

virtual double	GetFixedImageStandardDeviation ()
virtual void	SetFixedImageStandardDeviation (double _arg)

virtual KernelFunction *	GetKernelFunction ()
virtual void	SetKernelFunction (KernelFunction *_arg)

virtual const MovingImageMaskType *	GetMovingImageMask ()
virtual void	SetMovingImageMask (const MovingImageMaskType *_arg)

virtual const MovingImageMaskType *	GetMovingImageMask ()
virtual void	SetMovingImageMask (MovingImageMaskType *_arg)

virtual const double &	GetMovingImageStandardDeviation ()
virtual void	SetMovingImageStandardDeviation (double _arg)

virtual const unsigned long &	GetNumberOfMovingImageSamples ()
unsigned long	GetNumberOfPixelsCounter (void)

virtual const unsigned int &	GetNumberOfThreads ()
virtual void	SetNumberOfThreads (unsigned int _arg)

virtual const bool &	GetUseAllPixels ()
virtual void	SetUseAllPixels (bool _arg)
virtual void	UseAllPixelsOff ()
virtual void	UseAllPixelsOn ()

virtual const bool &	GetUseCachingOfBSplineWeights ()
virtual void	SetUseCachingOfBSplineWeights (bool _arg)
virtual void	UseCachingOfBSplineWeightsOff ()
virtual void	UseCachingOfBSplineWeightsOn ()

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

	itkStaticConstMacro (FixedImageDimension, unsigned int, TFixedImage::ImageDimension)
	itkStaticConstMacro (MovingImageDimension, unsigned int, TMovingImage::ImageDimension)

void	ReinitializeSeed (int)
void	ReinitializeSeed ()

virtual void	SetNumberOfFixedImageSamples (unsigned long numSamples)
Static Public Member Functions
static void	BreakOnError ()
static Pointer	New ()

static bool	GetGlobalWarningDisplay ()
static void	GlobalWarningDisplayOff ()
static void	GlobalWarningDisplayOn ()
static void	SetGlobalWarningDisplay (bool flag)
Protected Types
typedef std::vector< bool >	BooleanArrayType
typedef BSplineInterpolateImageFunction < MovingImageType, CoordinateRepresentationType >	BSplineInterpolatorType
typedef FixedArray< unsigned long,::itk::GetImageDimension < FixedImageType > ::ImageDimension >	BSplineParametersOffsetType
typedef BSplineTransformType::ParameterIndexArrayType	BSplineTransformIndexArrayType
typedef Array2D< IndexValueType >	BSplineTransformIndicesArrayType
typedef BSplineDeformableTransform < CoordinateRepresentationType,::itk::GetImageDimension < FixedImageType > ::ImageDimension, itkGetStaticConstMacro(DeformationSplineOrder) >	BSplineTransformType
typedef Array2D< WeightsValueType >	BSplineTransformWeightsArrayType
typedef BSplineTransformType::WeightsType	BSplineTransformWeightsType
typedef std::vector < FixedImageSamplePoint >	FixedImageSampleContainer
typedef CovariantVector < double, itkGetStaticConstMacro(MovingImageDimension) >	ImageDerivativesType
typedef BSplineTransformIndexArrayType::ValueType	IndexValueType
typedef std::vector < MovingImagePointType >	MovingImagePointArrayType
typedef MultiThreader	MultiThreaderType
typedef BSplineTransformWeightsType::ValueType	WeightsValueType

typedef int	InternalReferenceCountType
Protected Member Functions
virtual void	ComputeImageDerivatives (const MovingImagePointType &mappedPoint, ImageDerivativesType &gradient, unsigned int threadID) const
void	GetValueAndDerivativeMultiThreadedInitiate (void) const
void	GetValueAndDerivativeMultiThreadedPostProcessInitiate (void) const
void	GetValueAndDerivativeMultiThreadedPreProcessInitiate (void) const
void	GetValueAndDerivativeThread (unsigned int threadID) const
virtual void	GetValueAndDerivativeThreadPostProcess (unsigned int, bool) const
virtual void	GetValueAndDerivativeThreadPreProcess (unsigned int, bool) const
virtual bool	GetValueAndDerivativeThreadProcessSample (unsigned int, unsigned long, const MovingImagePointType &, double, const ImageDerivativesType &) const
void	GetValueMultiThreadedInitiate (void) const
void	GetValueMultiThreadedPostProcessInitiate (void) const
void	GetValueMultiThreadedPreProcessInitiate (void) const
void	GetValueThread (unsigned int threadID) const
virtual void	GetValueThreadPostProcess (unsigned int, bool) const
virtual void	GetValueThreadPreProcess (unsigned int threadID, bool withinSampleThread) const
virtual bool	GetValueThreadProcessSample (unsigned int, unsigned long, const MovingImagePointType &, double) const
	itkStaticConstMacro (DeformationSplineOrder, unsigned int, 3)
	MutualInformationImageToImageMetric ()
void	NumberOfFixedImageSamplesUpdated ()
virtual void	PreComputeTransformValues (void)
bool	PrintObservers (std::ostream &os, Indent indent) const
void	PrintSelf (std::ostream &os, Indent indent) const
virtual void	SampleFixedImageDomain (FixedImageSampleContainer &samples) const
virtual void	SampleFixedImageIndexes (FixedImageSampleContainer &samples)
virtual void	SampleFullFixedImageDomain (FixedImageSampleContainer &samples)
void	SynchronizeTransforms () const
virtual void	TransformPoint (unsigned int sampleNumber, MovingImagePointType &mappedPoint, bool &sampleWithinSupportRegion, double &movingImageValue, unsigned int threadID) const
virtual void	TransformPointWithDerivatives (unsigned int sampleNumber, MovingImagePointType &mappedPoint, bool &sampleWithinSupportRegion, double &movingImageValue, ImageDerivativesType &gradient, unsigned int threadID) const
virtual	~MutualInformationImageToImageMetric ()

virtual void	PrintHeader (std::ostream &os, Indent indent) const
virtual void	PrintTrailer (std::ostream &os, Indent indent) const
Static Protected Member Functions
static ITK_THREAD_RETURN_TYPE	GetValueAndDerivativeMultiThreaded (void *arg)
static ITK_THREAD_RETURN_TYPE	GetValueAndDerivativeMultiThreadedPostProcess (void *arg)
static ITK_THREAD_RETURN_TYPE	GetValueAndDerivativeMultiThreadedPreProcess (void *arg)
static ITK_THREAD_RETURN_TYPE	GetValueMultiThreaded (void *arg)
static ITK_THREAD_RETURN_TYPE	GetValueMultiThreadedPostProcess (void *arg)
static ITK_THREAD_RETURN_TYPE	GetValueMultiThreadedPreProcess (void *arg)
Protected Attributes
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
FixedImageConstPointer	m_FixedImage
FixedImageIndexContainer	m_FixedImageIndexes
FixedImageMaskConstPointer	m_FixedImageMask
FixedImageMaskPointer	m_FixedImageMask
FixedImageSampleContainer	m_FixedImageSamples
FixedImagePixelType	m_FixedImageSamplesIntensityThreshold
GradientImagePointer	m_GradientImage
InterpolatorPointer	m_Interpolator
bool	m_InterpolatorIsBSpline
MovingImageConstPointer	m_MovingImage
MovingImageMaskConstPointer	m_MovingImageMask
MovingImageMaskPointer	m_MovingImageMask
unsigned long	m_NumberOfFixedImageSamples
unsigned long	m_NumberOfMovingImageSamples
unsigned long	m_NumberOfParameters
unsigned long	m_NumberOfPixelsCounted
unsigned int	m_NumberOfThreads
unsigned long	m_NumBSplineWeights
ParametersType	m_Parameters
InternalReferenceCountType	m_ReferenceCount
SimpleFastMutexLock	m_ReferenceCountLock
MultiThreaderType::Pointer	m_Threader
BSplineTransformIndexArrayType *	m_ThreaderBSplineTransformIndices
BSplineTransformWeightsType *	m_ThreaderBSplineTransformWeights
unsigned int	m_ThreaderChunkSize
unsigned int *	m_ThreaderNumberOfMovingImageSamples
MultiThreaderParameterType	m_ThreaderParameter
unsigned int	m_ThreaderSizeOfLastChunk
TransformPointer *	m_ThreaderTransform
TransformPointer	m_Transform
bool	m_TransformIsBSpline
bool	m_UseAllPixels
bool	m_UseCachingOfBSplineWeights
bool	m_UseFixedImageIndexes
bool	m_UseFixedImageSamplesIntensityThreshold
BooleanArrayType	m_WithinBSplineSupportRegionArray
bool	m_WithinThreadPostProcess
bool	m_WithinThreadPreProcess
Classes
class	SpatialSample

Member Typedef Documentation

template<class TFixedImage, class TMovingImage>

typedef std::vector<bool> itk::ImageToImageMetric< TFixedImage, TMovingImage >::BooleanArrayType [protected, inherited]

Definition at line 442 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef BSplineInterpolateImageFunction<MovingImageType, CoordinateRepresentationType> itk::ImageToImageMetric< TFixedImage, TMovingImage >::BSplineInterpolatorType [protected, inherited]

If a BSplineInterpolationFunction is used, this class obtain image derivatives from the BSpline interpolator. Otherwise, image derivatives are computed using central differencing.

Definition at line 453 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef FixedArray< unsigned long, ::itk::GetImageDimension<FixedImageType>::ImageDimension > itk::ImageToImageMetric< TFixedImage, TMovingImage >::BSplineParametersOffsetType [protected, inherited]

Definition at line 445 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef BSplineTransformType::ParameterIndexArrayType itk::ImageToImageMetric< TFixedImage, TMovingImage >::BSplineTransformIndexArrayType [protected, inherited]

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 437 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Array2D<IndexValueType> itk::ImageToImageMetric< TFixedImage, TMovingImage >::BSplineTransformIndicesArrayType [protected, inherited]

Definition at line 439 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef BSplineDeformableTransform< CoordinateRepresentationType, ::itk::GetImageDimension<FixedImageType>::ImageDimension, itkGetStaticConstMacro(DeformationSplineOrder) > itk::ImageToImageMetric< TFixedImage, TMovingImage >::BSplineTransformType [protected, inherited]

Definition at line 430 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Array2D<WeightsValueType> itk::ImageToImageMetric< TFixedImage, TMovingImage >::BSplineTransformWeightsArrayType [protected, inherited]

Definition at line 434 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef BSplineTransformType::WeightsType itk::ImageToImageMetric< TFixedImage, TMovingImage >::BSplineTransformWeightsType [protected, inherited]

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 432 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

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

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

Definition at line 99 of file itkMutualInformationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::DerivativeType itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::DerivativeType

Type of the derivative.

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

Definition at line 113 of file itkMutualInformationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::FixedImageConstPointer itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::FixedImageConstPointer

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

Definition at line 117 of file itkMutualInformationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef std::vector<FixedImageIndexType> itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageIndexContainer [inherited]

Definition at line 114 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef FixedImageType::IndexType itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::FixedImageIndexType

Index and Point typedef support.

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

Definition at line 121 of file itkMutualInformationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef FixedImageIndexType::IndexValueType itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::FixedImageIndexValueType

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

Definition at line 122 of file itkMutualInformationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef FixedImageMaskType::ConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageMaskConstPointer [inherited]

Definition at line 146 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef FixedImageMaskType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageMaskPointer [inherited]

Definition at line 145 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef FixedImageMaskType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageMaskPointer [inherited]

Definition at line 136 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef SpatialObject< itkGetStaticConstMacro(FixedImageDimension) > itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageMaskType [inherited]

Type for the mask of the fixed image. Only pixels that are "inside" this mask will be considered for the computation of the metric

Definition at line 144 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef SpatialObject< itkGetStaticConstMacro(FixedImageDimension) > itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageMaskType [inherited]

Type for the mask of the fixed image. Only pixels that are "inside" this mask will be considered for the computation of the metric

Definition at line 135 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef TFixedImage::PixelType itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImagePixelType [inherited]

Reimplemented in itk::GradientDifferenceImageToImageMetric< TFixedImage, TMovingImage >, and itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 82 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef TransformType::InputPointType itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::FixedImagePointType

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

Definition at line 124 of file itkMutualInformationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef FixedImageType::RegionType itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageRegionType [inherited]

Reimplemented in itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >, itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >, and itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 84 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef FixedImageType::RegionType itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageRegionType [inherited]

Reimplemented in itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >, itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >, and itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 83 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef std::vector<FixedImageSamplePoint> itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageSampleContainer [protected, inherited]

FixedImageSamplePoint typedef support.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, and itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 366 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::FixedImageType itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::FixedImageType

Type of the fixed Image.

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

Definition at line 115 of file itkMutualInformationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef GradientImageFilterType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImageFilterPointer [inherited]

Gaussian filter to compute the gradient of the Moving Image

Definition at line 134 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef GradientImageFilterType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImageFilterPointer [inherited]

Gaussian filter to compute the gradient of the Moving Image

Definition at line 125 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef GradientRecursiveGaussianImageFilter< MovingImageType, GradientImageType > itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImageFilterType [inherited]

Gaussian filter to compute the gradient of the Moving Image

Definition at line 133 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef GradientRecursiveGaussianImageFilter< MovingImageType, GradientImageType > itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImageFilterType [inherited]

Gaussian filter to compute the gradient of the Moving Image

Definition at line 124 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef SmartPointer<GradientImageType> itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImagePointer [inherited]

Gaussian filter to compute the gradient of the Moving Image

Definition at line 130 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef SmartPointer<GradientImageType> itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImagePointer [inherited]

Gaussian filter to compute the gradient of the Moving Image

Definition at line 121 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Image<GradientPixelType, itkGetStaticConstMacro(MovingImageDimension)> itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImageType [inherited]

Gaussian filter to compute the gradient of the Moving Image

Reimplemented in itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >, and itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 129 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Image<GradientPixelType, itkGetStaticConstMacro(MovingImageDimension)> itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImageType [inherited]

Gaussian filter to compute the gradient of the Moving Image

Reimplemented in itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >, and itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 120 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef CovariantVector<RealType, itkGetStaticConstMacro(MovingImageDimension)> itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientPixelType [inherited]

Gaussian filter to compute the gradient of the Moving Image

Definition at line 126 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef CovariantVector<RealType, itkGetStaticConstMacro(MovingImageDimension)> itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientPixelType [inherited]

Gaussian filter to compute the gradient of the Moving Image

Definition at line 117 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef CovariantVector< double, itkGetStaticConstMacro(MovingImageDimension) > itk::ImageToImageMetric< TFixedImage, TMovingImage >::ImageDerivativesType [protected, inherited]

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, and itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 461 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef BSplineTransformIndexArrayType::ValueType itk::ImageToImageMetric< TFixedImage, TMovingImage >::IndexValueType [protected, inherited]

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, and itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 438 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef TransformType::InputPointType itk::ImageToImageMetric< TFixedImage, TMovingImage >::InputPointType [inherited]

Reimplemented in itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >, itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >, itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanReciprocalSquareDifferenceImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >, and itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 102 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef TransformType::InputPointType itk::ImageToImageMetric< TFixedImage, TMovingImage >::InputPointType [inherited]

Reimplemented in itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >, itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >, itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanReciprocalSquareDifferenceImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >, and itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 101 of file itkImageToImageMetric.h.

typedef int itk::LightObject::InternalReferenceCountType [protected, inherited]

Define the type of the reference count according to the target. This allows the use of atomic operations

Definition at line 139 of file itkLightObject.h.

template<class TFixedImage, class TMovingImage>

typedef InterpolatorType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::InterpolatorPointer [inherited]

Reimplemented in itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, and itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 138 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef InterpolatorType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::InterpolatorPointer [inherited]

Reimplemented in itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, and itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 129 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::InterpolatorType itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::InterpolatorType

Type of the Interpolator Base class

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

Definition at line 111 of file itkMutualInformationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::MeasureType itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MeasureType

Type of the measure.

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

Definition at line 112 of file itkMutualInformationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef MovingImageType::ConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImageConstPointer [inherited]

Definition at line 78 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef MovingImageType::ConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImageConstPointer [inherited]

Definition at line 78 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::MovingImageConstPointer itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MovingImageCosntPointer

Definition at line 118 of file itkMutualInformationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef MovingImageType::IndexType itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MovingImageIndexType

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

Definition at line 123 of file itkMutualInformationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef MovingImageMaskType::ConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImageMaskConstPointer [inherited]

Definition at line 153 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef MovingImageMaskType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImageMaskPointer [inherited]

Definition at line 152 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef MovingImageMaskType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImageMaskPointer [inherited]

Definition at line 142 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef SpatialObject< itkGetStaticConstMacro(MovingImageDimension) > itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImageMaskType [inherited]

Type for the mask of the moving image. Only pixels that are "inside" this mask will be considered for the computation of the metric

Definition at line 151 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef SpatialObject< itkGetStaticConstMacro(MovingImageDimension) > itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImageMaskType [inherited]

Type for the mask of the moving image. Only pixels that are "inside" this mask will be considered for the computation of the metric

Definition at line 141 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef TMovingImage::PixelType itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImagePixelType [inherited]

Reimplemented in itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 77 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef TMovingImage::PixelType itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImagePixelType [inherited]

Reimplemented in itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 77 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef std::vector<MovingImagePointType> itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImagePointArrayType [protected, inherited]

Definition at line 441 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef TransformType::OutputPointType itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MovingImagePointType

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

Definition at line 125 of file itkMutualInformationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::MovingImageType itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MovingImageType

Type of the moving Image.

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

Definition at line 116 of file itkMutualInformationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef MultiThreader itk::ImageToImageMetric< TFixedImage, TMovingImage >::MultiThreaderType [protected, inherited]

Types and variables related to multi-threading

Definition at line 518 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef TransformType::OutputPointType itk::ImageToImageMetric< TFixedImage, TMovingImage >::OutputPointType [inherited]

Reimplemented in itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >, itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >, itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanReciprocalSquareDifferenceImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >, and itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 103 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef TransformType::OutputPointType itk::ImageToImageMetric< TFixedImage, TMovingImage >::OutputPointType [inherited]

Reimplemented in itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >, itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >, itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanReciprocalSquareDifferenceImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >, and itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 102 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::ParametersType itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::ParametersType

Type of the parameters.

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

Definition at line 114 of file itkMutualInformationImageToImageMetric.h.

typedef double itk::CostFunction::ParametersValueType [inherited]

ParametersType typedef. It defines a position in the optimization search space.

Definition at line 46 of file itkCostFunction.h.

template<class TFixedImage, class TMovingImage>

typedef SmartPointer<Self> itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::Pointer

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

Definition at line 98 of file itkMutualInformationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef NumericTraits<MovingImagePixelType>::RealType itk::ImageToImageMetric< TFixedImage, TMovingImage >::RealType [inherited]

Gaussian filter to compute the gradient of the Moving Image

Definition at line 123 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef NumericTraits<MovingImagePixelType>::RealType itk::ImageToImageMetric< TFixedImage, TMovingImage >::RealType [inherited]

Gaussian filter to compute the gradient of the Moving Image

Definition at line 114 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef MutualInformationImageToImageMetric itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::Self

Standard class typedefs.

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

Definition at line 96 of file itkMutualInformationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef ImageToImageMetric< TFixedImage, TMovingImage > itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::Superclass

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

Definition at line 97 of file itkMutualInformationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::TransformJacobianType itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::TransformJacobianType

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

Definition at line 110 of file itkMutualInformationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef TransformType::ParametersType itk::ImageToImageMetric< TFixedImage, TMovingImage >::TransformParametersType [inherited]

Definition at line 104 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef TransformType::ParametersType itk::ImageToImageMetric< TFixedImage, TMovingImage >::TransformParametersType [inherited]

Definition at line 103 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::TransformPointer itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::TransformPointer

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

Definition at line 109 of file itkMutualInformationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::TransformType itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::TransformType

Types inherited from Superclass.

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

Definition at line 105 of file itkMutualInformationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef BSplineTransformWeightsType::ValueType itk::ImageToImageMetric< TFixedImage, TMovingImage >::WeightsValueType [protected, inherited]

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, and itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 433 of file itkOptImageToImageMetric.h.

Constructor & Destructor Documentation

template<class TFixedImage, class TMovingImage>

itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MutualInformationImageToImageMetric ( ) [protected]

template<class TFixedImage, class TMovingImage>

virtual itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::~MutualInformationImageToImageMetric ( ) [inline, protected, virtual]

Definition at line 193 of file itkMutualInformationImageToImageMetric.h.

Member Function Documentation

unsigned long itk::Object::AddObserver	(	const EventObject &	event,
		Command *
	)			const `[inherited]`

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

unsigned long itk::Object::AddObserver	(	const EventObject &	event,
		Command *
	)			`[inherited]`

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

static void itk::LightObject::BreakOnError ( ) [static, inherited]

This method is called when itkExceptionMacro executes. It allows the debugger to break on error.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ComputeGradient ( void ) [virtual, inherited]

Computes the gradient image and assigns it to m_GradientImage

Reimplemented in itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ComputeGradient ( ) [virtual, inherited]

Computes the gradient image and assigns it to m_GradientImage

Reimplemented in itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ComputeGradientOff ( ) [virtual, inherited]

Set/Get gradient computation.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ComputeGradientOff ( ) [virtual, inherited]

Set/Get gradient computation.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ComputeGradientOn ( ) [virtual, inherited]

Set/Get gradient computation.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ComputeGradientOn ( ) [virtual, inherited]

Set/Get gradient computation.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ComputeImageDerivatives	(	const MovingImagePointType &	mappedPoint,
		ImageDerivativesType &	gradient,
		unsigned int	threadID
	)			const `[protected, virtual, inherited]`

Compute image derivatives at a point.

virtual LightObject::Pointer itk::Object::CreateAnother ( ) const [virtual, inherited]

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.

virtual void itk::Object::DebugOff ( ) const [virtual, inherited]

Turn debugging output off.

virtual void itk::Object::DebugOn ( ) const [virtual, inherited]

Turn debugging output on.

virtual void itk::LightObject::Delete ( ) [virtual, inherited]

Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.

Command* itk::Object::GetCommand ( unsigned long tag ) [inherited]

Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.

template<class TFixedImage, class TMovingImage>

virtual const bool& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetComputeGradient ( ) [virtual, inherited]

Set/Get gradient computation.

template<class TFixedImage, class TMovingImage>

virtual const bool& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetComputeGradient ( ) [virtual, inherited]

Set/Get gradient computation.

bool itk::Object::GetDebug ( ) const [inherited]

Get the value of the debug flag.

virtual void itk::SingleValuedCostFunction::GetDerivative	(	const ParametersType &	parameters,
		DerivativeType &	derivative
	)			const `[pure virtual, inherited]`

This method returns the derivative of the cost function corresponding to the specified parameters.

Implemented in itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >.

template<class TFixedImage, class TMovingImage>

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

Get the derivatives of the match measure.

template<class TFixedImage, class TMovingImage>

virtual const FixedImageType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetFixedImage ( ) [virtual, inherited]

Get the Fixed Image.

template<class TFixedImage, class TMovingImage>

virtual const FixedImageType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetFixedImage ( ) [virtual, inherited]

Get the Fixed Image.

template<class TFixedImage, class TMovingImage>

virtual const FixedImageMaskType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetFixedImageMask ( ) [virtual, inherited]

Set/Get the fixed image mask.

template<class TFixedImage, class TMovingImage>

virtual const FixedImageMaskType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetFixedImageMask ( ) [virtual, inherited]

Set/Get the fixed image mask.

template<class TFixedImage, class TMovingImage>

virtual const FixedImageRegionType& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetFixedImageRegion ( ) [virtual, inherited]

Get the region over which the metric will be computed

template<class TFixedImage, class TMovingImage>

virtual const FixedImageRegionType& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetFixedImageRegion ( ) [virtual, inherited]

Get the region over which the metric will be computed

template<class TFixedImage, class TMovingImage>

virtual const FixedImagePixelType& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetFixedImageSamplesIntensityThreshold ( ) [virtual, inherited]

Minimum fixed-image intensity needed for a sample to be used in the metric computation

template<class TFixedImage, class TMovingImage>

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

Set/Get the fixed image intensitiy 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.

static bool itk::Object::GetGlobalWarningDisplay ( ) [static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

template<class TFixedImage, class TMovingImage>

virtual const GradientImageType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetGradientImage ( ) [virtual, inherited]

Get Gradient Image.

template<class TFixedImage, class TMovingImage>

virtual const GradientImageType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetGradientImage ( ) [virtual, inherited]

Get Gradient Image.

template<class TFixedImage, class TMovingImage>

virtual const InterpolatorType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetInterpolator ( ) [virtual, inherited]

Get a pointer to the Interpolator.

template<class TFixedImage, class TMovingImage>

virtual const InterpolatorType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetInterpolator ( ) [virtual, inherited]

Get a pointer to the Interpolator.

template<class TFixedImage, class TMovingImage>

virtual KernelFunction* itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetKernelFunction ( ) [virtual]

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

const MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void ) const [inherited]

Returns:: A constant reference to this objects MetaDataDictionary.

MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void ) [inherited]

Returns:: A reference to this objects MetaDataDictionary.

Warning:: This reference may be changed.

template<class TFixedImage, class TMovingImage>

virtual const MovingImageType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetMovingImage ( ) [virtual, inherited]

Get the Moving Image.

template<class TFixedImage, class TMovingImage>

virtual const MovingImageType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetMovingImage ( ) [virtual, inherited]

Get the Moving Image.

template<class TFixedImage, class TMovingImage>

virtual const MovingImageMaskType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetMovingImageMask ( ) [virtual, inherited]

Set/Get the moving image mask.

template<class TFixedImage, class TMovingImage>

virtual const MovingImageMaskType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetMovingImageMask ( ) [virtual, inherited]

Set/Get the moving image mask.

template<class TFixedImage, class TMovingImage>

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

Set/Get the moving image intensitiy 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.

virtual unsigned long itk::Object::GetMTime ( ) const [virtual, inherited]

Return this objects modified time.

Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().

template<class TFixedImage, class TMovingImage>

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

Run-time type information (and related methods).

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

template<class TFixedImage, class TMovingImage>

virtual const unsigned long& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfFixedImageSamples ( ) [virtual, inherited]

template<class TFixedImage, class TMovingImage>

virtual const unsigned long& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfMovingImageSamples ( ) [virtual, inherited]

Get the number of pixels considered in the computation.

template<class TFixedImage, class TMovingImage>

unsigned int itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfParameters ( void ) const [inline, virtual, inherited]

Return the number of parameters required by the Transform

Implements itk::CostFunction.

Reimplemented in itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, and itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 238 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

unsigned int itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfParameters ( void ) const [inline, virtual, inherited]

Return the number of parameters required by the Transform

Implements itk::CostFunction.

Reimplemented in itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, and itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 213 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

virtual const unsigned long& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfPixelsCounted ( ) [virtual, inherited]

Get the number of pixels considered in the computation.

template<class TFixedImage, class TMovingImage>

virtual const unsigned long& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfPixelsCounted ( ) [virtual, inherited]

Get the number of pixels considered in the computation.

template<class TFixedImage, class TMovingImage>

unsigned long itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfPixelsCounter ( void ) [inline, inherited]

Get the number of pixels considered in the computation.

Definition at line 191 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

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

Get the number of spatial samples.

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

template<class TFixedImage, class TMovingImage>

virtual const unsigned int& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfThreads ( ) [virtual, inherited]

Set/Get number of threads to use for computations.

Reimplemented in itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >.

virtual int itk::LightObject::GetReferenceCount ( ) const [inline, virtual, inherited]

Gets the reference count on this object.

Definition at line 106 of file itkLightObject.h.

template<class TFixedImage, class TMovingImage>

virtual const TransformType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetTransform ( ) [virtual, inherited]

Get a pointer to the Transform.

template<class TFixedImage, class TMovingImage>

virtual const TransformType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetTransform ( ) [virtual, inherited]

Get a pointer to the Transform.

template<class TFixedImage, class TMovingImage>

virtual const bool& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetUseAllPixels ( ) [virtual, inherited]

Select whether the metric will be computed using all the pixels on the fixed image region, or only using a set of randomly selected pixels.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage, class TMovingImage>

virtual const bool& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetUseCachingOfBSplineWeights ( ) [virtual, inherited]

This boolean flag is only relevant when this metric is used along with a BSplineDeformableTransform. The flag enables/disables the caching of values computed when a physical point is mapped through the BSplineDeformableTransform. In particular it will cache the values of the BSpline weights for that points, and the indexes indicating what BSpline-grid nodes are relevant for that specific point. This caching is made optional due to the fact that the memory arrays used for the caching can reach large sizes even for moderate image size problems. For example, for a 3D image of 256^3, using 20% of pixels, these arrays will take about 1 Gigabyte of RAM for storage. The ratio of computing time between using the cache or not using the cache can reach 1:5, meaning that using the caching can provide a five times speed up. It is therefore, interesting to enable the caching, if enough memory is available for it. The caching is enabled by default, in order to preserve backward compatibility with previous versions of ITK.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage, class TMovingImage>

virtual const bool& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetUseFixedImageSamplesIntensityThreshold ( ) [virtual, inherited]

Minimum fixed-image intensity needed for a sample to be used in the metric computation

virtual MeasureType itk::SingleValuedCostFunction::GetValue ( const ParametersType & parameters ) const [pure virtual, inherited]

This method returns the value of the cost function corresponding to the specified parameters.

Implemented in itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >.

template<class TFixedImage, class TMovingImage>

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

Get the value.

virtual void itk::SingleValuedCostFunction::GetValueAndDerivative	(	const ParametersType &	parameters,
		MeasureType &	value,
		DerivativeType &	derivative
	)			const `[inline, virtual, inherited]`

This method returns the value and derivative of the cost function corresponding to the specified parameters

Definition at line 71 of file itkSingleValuedCostFunction.h.

template<class TFixedImage, class TMovingImage>

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

Get the value and derivatives for single valued optimizers.

template<class TFixedImage, class TMovingImage>

static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeMultiThreaded ( void * arg ) [static, protected, inherited]

template<class TFixedImage, class TMovingImage>

void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeMultiThreadedInitiate ( void ) const [protected, inherited]

template<class TFixedImage, class TMovingImage>

static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeMultiThreadedPostProcess ( void * arg ) [static, protected, inherited]

template<class TFixedImage, class TMovingImage>

void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeMultiThreadedPostProcessInitiate ( void ) const [protected, inherited]

template<class TFixedImage, class TMovingImage>

static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeMultiThreadedPreProcess ( void * arg ) [static, protected, inherited]

template<class TFixedImage, class TMovingImage>

void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeMultiThreadedPreProcessInitiate ( void ) const [protected, inherited]

template<class TFixedImage, class TMovingImage>

void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeThread ( unsigned int threadID ) const [protected, inherited]

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeThreadPostProcess	(	unsigned int	,
		bool
	)			const `[inline, protected, virtual, inherited]`

Definition at line 594 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeThreadPreProcess	(	unsigned int	,
		bool
	)			const `[inline, protected, virtual, inherited]`

Definition at line 582 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

virtual bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeThreadProcessSample	(	unsigned int	,
		unsigned long	,
		const MovingImagePointType &	,
		double	,
		const ImageDerivativesType &
	)			const `[inline, protected, virtual, inherited]`

Definition at line 584 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueMultiThreaded ( void * arg ) [static, protected, inherited]

template<class TFixedImage, class TMovingImage>

void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueMultiThreadedInitiate ( void ) const [protected, inherited]

template<class TFixedImage, class TMovingImage>

static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueMultiThreadedPostProcess ( void * arg ) [static, protected, inherited]

template<class TFixedImage, class TMovingImage>

void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueMultiThreadedPostProcessInitiate ( void ) const [protected, inherited]

template<class TFixedImage, class TMovingImage>

static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueMultiThreadedPreProcess ( void * arg ) [static, protected, inherited]

template<class TFixedImage, class TMovingImage>

void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueMultiThreadedPreProcessInitiate ( void ) const [protected, inherited]

template<class TFixedImage, class TMovingImage>

void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueThread ( unsigned int threadID ) const [protected, inherited]

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueThreadPostProcess	(	unsigned int	,
		bool
	)			const `[inline, protected, virtual, inherited]`

Definition at line 552 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueThreadPreProcess	(	unsigned int	threadID,
		bool	withinSampleThread
	)			const `[inline, protected, virtual, inherited]`

template<class TFixedImage, class TMovingImage>

virtual bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueThreadProcessSample	(	unsigned int	,
		unsigned long	,
		const MovingImagePointType &	,
		double
	)			const `[inline, protected, virtual, inherited]`

Definition at line 546 of file itkOptImageToImageMetric.h.

static void itk::Object::GlobalWarningDisplayOff ( ) [inline, static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

static void itk::Object::GlobalWarningDisplayOn ( ) [inline, static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

bool itk::Object::HasObserver ( const EventObject & event ) const [inherited]

Return true if an observer is registered for this event.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::Initialize ( void ) throw ( ExceptionObject ) [virtual, inherited]

Initialize the Metric by making sure that all the components are present and plugged together correctly

Reimplemented in itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::GradientDifferenceImageToImageMetric< TFixedImage, TMovingImage >, itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, and itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::Initialize ( void ) throw ( ExceptionObject ) [virtual, inherited]

Initialize the Metric by making sure that all the components are present and plugged together correctly

Reimplemented in itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::GradientDifferenceImageToImageMetric< TFixedImage, TMovingImage >, itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, and itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >.

void itk::Object::InvokeEvent ( const EventObject & ) const [inherited]

Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.

void itk::Object::InvokeEvent ( const EventObject & ) [inherited]

Call Execute on all the Commands observing this event id.

template<class TFixedImage, class TMovingImage>

itk::ImageToImageMetric< TFixedImage, TMovingImage >::itkStaticConstMacro	(	DeformationSplineOrder	,
		unsigned	int,
		3
	)			`[protected, inherited]`

template<class TFixedImage, class TMovingImage>

itk::ImageToImageMetric< TFixedImage, TMovingImage >::itkStaticConstMacro	(	FixedImageDimension	,
		unsigned	int,
		TFixedImage::ImageDimension
	)			`[inherited]`

Constants for the image dimensions

Reimplemented in itk::GradientDifferenceImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage, class TMovingImage>

itk::ImageToImageMetric< TFixedImage, TMovingImage >::itkStaticConstMacro	(	MovingImageDimension	,
		unsigned	int,
		TMovingImage::ImageDimension
	)			`[inherited]`

Constants for the image dimensions

template<class TFixedImage, class TMovingImage>

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

Enum of the moving image dimension.

virtual void itk::Object::Modified ( ) const [virtual, inherited]

Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.

Referenced by itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::HistogramAlgorithmBase< TInputHistogram >::SetInputHistogram(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints1(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints2(), itk::NonUniformBSpline< TDimension >::SetSplineOrder(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::MultiThreadingInitialize ( void ) throw ( ExceptionObject ) [virtual, inherited]

Initialize the components related to supporting multiple threads

template<class TFixedImage, class TMovingImage>

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

Method for creation through the object factory.

Reimplemented from itk::Object.

template<class TFixedImage, class TMovingImage>

void itk::ImageToImageMetric< TFixedImage, TMovingImage >::NumberOfFixedImageSamplesUpdated ( ) [protected, inherited]

Update sample sizes for the threads.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::PreComputeTransformValues ( void ) [protected, virtual, inherited]

void itk::LightObject::Print	(	std::ostream &	os,
		Indent	indent = `0`
	)			const `[inherited]`

Cause the object to print itself out.

Referenced by itk::WeakPointer< itk::ProcessObject >::Print(), and itk::SmartPointer< itk::MutualInformationImageToImageMetric >::Print().

virtual void itk::LightObject::PrintHeader	(	std::ostream &	os,
		Indent	indent
	)			const `[protected, virtual, inherited]`

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.

bool itk::Object::PrintObservers	(	std::ostream &	os,
		Indent	indent
	)			const `[protected, inherited]`

template<class TFixedImage, class TMovingImage>

void itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)			const `[protected, virtual]`

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 >.

virtual void itk::LightObject::PrintTrailer	(	std::ostream &	os,
		Indent	indent
	)			const `[protected, virtual, inherited]`

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.

virtual void itk::Object::Register ( ) const [virtual, inherited]

Increase the reference count (mark as used by another object).

Reimplemented from itk::LightObject.

template<class TFixedImage, class TMovingImage>

void itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::ReinitializeSeed ( int )

Reinitialize the seed of the random number generator that selects the sample of pixels used for estimating the image histograms and the joint histogram. By nature, this metric is not deterministic, since at each run it may select a different set of pixels. By initializing the random number generator seed to the same value you can restore determinism. On the other hand, calling the method ReinitializeSeed() without arguments will use the clock from your machine in order to have a very random initialization of the seed. This will indeed increase the non-deterministic behavior of the metric.

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

template<class TFixedImage, class TMovingImage>

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

Reinitialize the seed of the random number generator that selects the sample of pixels used for estimating the image histograms and the joint histogram. By nature, this metric is not deterministic, since at each run it may select a different set of pixels. By initializing the random number generator seed to the same value you can restore determinism. On the other hand, calling the method ReinitializeSeed() without arguments will use the clock from your machine in order to have a very random initialization of the seed. This will indeed increase the non-deterministic behavior of the metric.

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

void itk::Object::RemoveAllObservers ( ) [inherited]

Remove all observers .

void itk::Object::RemoveObserver ( unsigned long tag ) [inherited]

Remove the observer with this tag value.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SampleFixedImageDomain ( FixedImageSampleContainer & samples ) const [protected, virtual, inherited]

Uniformly select a sample set from the fixed image domain.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SampleFixedImageIndexes ( FixedImageSampleContainer & samples ) [protected, virtual, inherited]

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SampleFullFixedImageDomain ( FixedImageSampleContainer & samples ) [protected, virtual, inherited]

Gather all the pixels from the fixed image domain.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetComputeGradient ( bool _arg ) [virtual, inherited]

Set/Get gradient computation.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetComputeGradient ( bool _arg ) [virtual, inherited]

Set/Get gradient computation.

void itk::Object::SetDebug ( bool debugFlag ) const [inherited]

Set the value of the debug flag. A non-zero value turns debugging on.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImage ( const FixedImageType * _arg ) [virtual, inherited]

Connect the Fixed Image.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImage ( const FixedImageType * _arg ) [virtual, inherited]

Connect the Fixed Image.

template<class TFixedImage, class TMovingImage>

void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageIndexes ( const FixedImageIndexContainer & indexes ) [inherited]

Set the fixed image indexes to be used as the samples when computing the match metric

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageMask ( const FixedImageMaskType * _arg ) [virtual, inherited]

Set/Get the fixed image mask.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageMask ( FixedImageMaskType * _arg ) [virtual, inherited]

Set/Get the fixed image mask.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageRegion ( FixedImageRegionType _arg ) [virtual, inherited]

Set the region over which the metric will be computed

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageRegion ( FixedImageRegionType _arg ) [virtual, inherited]

Set the region over which the metric will be computed

template<class TFixedImage, class TMovingImage>

void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageSamplesIntensityThreshold ( const FixedImagePixelType & thresh ) [inherited]

Minimum fixed-image intensity needed for a sample to be used in the metric computation

template<class TFixedImage, class TMovingImage>

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

Set/Get the fixed image intensitiy 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.

static void itk::Object::SetGlobalWarningDisplay ( bool flag ) [static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetInterpolator ( InterpolatorType * _arg ) [virtual, inherited]

Connect the Interpolator.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetInterpolator ( InterpolatorType * _arg ) [virtual, inherited]

Connect the Interpolator.

template<class TFixedImage, class TMovingImage>

virtual void itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >::SetKernelFunction ( KernelFunction * _arg ) [virtual]

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

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary & rhs ) [inherited]

Returns:: Set the MetaDataDictionary

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetMovingImage ( const MovingImageType * _arg ) [virtual, inherited]

Connect the Moving Image.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetMovingImage ( const MovingImageType * _arg ) [virtual, inherited]

Connect the Moving Image.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetMovingImageMask ( const MovingImageMaskType * _arg ) [virtual, inherited]

Set/Get the moving image mask.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetMovingImageMask ( MovingImageMaskType * _arg ) [virtual, inherited]

Set/Get the moving image mask.

template<class TFixedImage, class TMovingImage>

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

Set/Get the moving image intensitiy 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.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetNumberOfFixedImageSamples ( unsigned long numSamples ) [inline, virtual, inherited]

Number of spatial samples to used to compute metric

Definition at line 251 of file itkOptImageToImageMetric.h.

References itkDebugMacro.

template<class TFixedImage, class TMovingImage>

void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetNumberOfSpatialSamples ( unsigned long num ) [inline, inherited]

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 270 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class 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.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetNumberOfThreads ( unsigned int _arg ) [virtual, inherited]

Set/Get number of threads to use for computations.

virtual void itk::Object::SetReferenceCount ( int ) [virtual, inherited]

Sets the reference count (use with care)

Reimplemented from itk::LightObject.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetTransform ( TransformType * _arg ) [virtual, inherited]

Connect the Transform.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetTransform ( TransformType * _arg ) [virtual, inherited]

Connect the Transform.

template<class TFixedImage, class TMovingImage>

void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetTransformParameters ( const ParametersType & parameters ) const [inherited]

Set the parameters defining the Transform.

template<class TFixedImage, class TMovingImage>

void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetTransformParameters ( const ParametersType & parameters ) const [inherited]

Set the parameters defining the Transform.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetUseAllPixels ( bool _arg ) [virtual, inherited]

Select whether the metric will be computed using all the pixels on the fixed image region, or only using a set of randomly selected pixels.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetUseCachingOfBSplineWeights ( bool _arg ) [virtual, inherited]

This boolean flag is only relevant when this metric is used along with a BSplineDeformableTransform. The flag enables/disables the caching of values computed when a physical point is mapped through the BSplineDeformableTransform. In particular it will cache the values of the BSpline weights for that points, and the indexes indicating what BSpline-grid nodes are relevant for that specific point. This caching is made optional due to the fact that the memory arrays used for the caching can reach large sizes even for moderate image size problems. For example, for a 3D image of 256^3, using 20% of pixels, these arrays will take about 1 Gigabyte of RAM for storage. The ratio of computing time between using the cache or not using the cache can reach 1:5, meaning that using the caching can provide a five times speed up. It is therefore, interesting to enable the caching, if enough memory is available for it. The caching is enabled by default, in order to preserve backward compatibility with previous versions of ITK.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetUseFixedImageSamplesIntensityThreshold ( bool _arg ) [virtual, inherited]

Minimum fixed-image intensity needed for a sample to be used in the metric computation

template<class TFixedImage, class TMovingImage>

void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SynchronizeTransforms ( ) const [protected, inherited]

Synchronizes the threader transforms with the transform member variable.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::TransformPoint	(	unsigned int	sampleNumber,
		MovingImagePointType &	mappedPoint,
		bool &	sampleWithinSupportRegion,
		double &	movingImageValue,
		unsigned int	threadID
	)			const `[protected, virtual, inherited]`

Transform a point from FixedImage domain to MovingImage domain. This function also checks if mapped point is within support region.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::TransformPointWithDerivatives	(	unsigned int	sampleNumber,
		MovingImagePointType &	mappedPoint,
		bool &	sampleWithinSupportRegion,
		double &	movingImageValue,
		ImageDerivativesType &	gradient,
		unsigned int	threadID
	)			const `[protected, virtual, inherited]`

virtual void itk::Object::UnRegister ( ) const [virtual, inherited]

Decrease the reference count (release by another object).

Reimplemented from itk::LightObject.

Referenced by itk::SmartPointer< itk::MutualInformationImageToImageMetric >::operator=().

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::UseAllPixelsOff ( ) [virtual, inherited]

Select whether the metric will be computed using all the pixels on the fixed image region, or only using a set of randomly selected pixels.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::UseAllPixelsOn ( ) [virtual, inherited]

Select whether the metric will be computed using all the pixels on the fixed image region, or only using a set of randomly selected pixels.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::UseCachingOfBSplineWeightsOff ( ) [virtual, inherited]

This boolean flag is only relevant when this metric is used along with a BSplineDeformableTransform. The flag enables/disables the caching of values computed when a physical point is mapped through the BSplineDeformableTransform. In particular it will cache the values of the BSpline weights for that points, and the indexes indicating what BSpline-grid nodes are relevant for that specific point. This caching is made optional due to the fact that the memory arrays used for the caching can reach large sizes even for moderate image size problems. For example, for a 3D image of 256^3, using 20% of pixels, these arrays will take about 1 Gigabyte of RAM for storage. The ratio of computing time between using the cache or not using the cache can reach 1:5, meaning that using the caching can provide a five times speed up. It is therefore, interesting to enable the caching, if enough memory is available for it. The caching is enabled by default, in order to preserve backward compatibility with previous versions of ITK.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage, class TMovingImage>

virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::UseCachingOfBSplineWeightsOn ( ) [virtual, inherited]

This boolean flag is only relevant when this metric is used along with a BSplineDeformableTransform. The flag enables/disables the caching of values computed when a physical point is mapped through the BSplineDeformableTransform. In particular it will cache the values of the BSpline weights for that points, and the indexes indicating what BSpline-grid nodes are relevant for that specific point. This caching is made optional due to the fact that the memory arrays used for the caching can reach large sizes even for moderate image size problems. For example, for a 3D image of 256^3, using 20% of pixels, these arrays will take about 1 Gigabyte of RAM for storage. The ratio of computing time between using the cache or not using the cache can reach 1:5, meaning that using the caching can provide a five times speed up. It is therefore, interesting to enable the caching, if enough memory is available for it. The caching is enabled by default, in order to preserve backward compatibility with previous versions of ITK.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

Member Data Documentation

template<class TFixedImage, class TMovingImage>

BSplineInterpolatorType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_BSplineInterpolator [protected, inherited]

Pointer to BSplineInterpolator.

Definition at line 502 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

BSplineParametersOffsetType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_BSplineParametersOffset [protected, inherited]

Definition at line 471 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

MovingImagePointArrayType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_BSplinePreTransformPointsArray [protected, inherited]

Definition at line 468 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

BSplineTransformType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_BSplineTransform [protected, inherited]

Definition at line 464 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

BSplineTransformIndexArrayType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_BSplineTransformIndices [mutable, protected, inherited]

Definition at line 476 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

BSplineTransformIndicesArrayType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_BSplineTransformIndicesArray [protected, inherited]

Definition at line 467 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

BSplineTransformWeightsType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_BSplineTransformWeights [mutable, protected, inherited]

Definition at line 475 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

BSplineTransformWeightsArrayType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_BSplineTransformWeightsArray [protected, inherited]

Definition at line 466 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_ComputeGradient [protected, inherited]

Definition at line 233 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

FixedImageConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_FixedImage [protected, inherited]

Definition at line 227 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

FixedImageIndexContainer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_FixedImageIndexes [protected, inherited]

Definition at line 361 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

FixedImageMaskConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_FixedImageMask [protected, inherited]

Definition at line 402 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

FixedImageMaskPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_FixedImageMask [mutable, protected, inherited]

Definition at line 236 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

FixedImageSampleContainer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_FixedImageSamples [protected, inherited]

Container to store a set of points and fixed image values.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 379 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

FixedImagePixelType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_FixedImageSamplesIntensityThreshold [protected, inherited]

Definition at line 362 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

GradientImagePointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_GradientImage [protected, inherited]

Definition at line 234 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

InterpolatorPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_Interpolator [protected, inherited]

Definition at line 231 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_InterpolatorIsBSpline [protected, inherited]

Boolean to indicate if the interpolator BSpline.

Definition at line 499 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

MovingImageConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_MovingImage [protected, inherited]

Definition at line 228 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

MovingImageMaskConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_MovingImageMask [protected, inherited]

Definition at line 403 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

MovingImageMaskPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_MovingImageMask [mutable, protected, inherited]

Definition at line 237 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

unsigned long itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_NumberOfFixedImageSamples [mutable, protected, inherited]

Definition at line 384 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

unsigned long itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_NumberOfMovingImageSamples [mutable, protected, inherited]

Definition at line 385 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

unsigned long itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_NumberOfParameters [protected, inherited]

Definition at line 381 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

unsigned long itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_NumberOfPixelsCounted [mutable, protected, inherited]

Definition at line 225 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

unsigned int itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_NumberOfThreads [protected, inherited]

Definition at line 405 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

unsigned long itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_NumBSplineWeights [protected, inherited]

The number of BSpline transform weights is the number of of parameter in the support region (per dimension ).

Definition at line 424 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

ParametersType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_Parameters [mutable, protected, inherited]

Definition at line 382 of file itkOptImageToImageMetric.h.

InternalReferenceCountType itk::LightObject::m_ReferenceCount [mutable, protected, inherited]

Number of uses of this object by other objects.

Definition at line 144 of file itkLightObject.h.

SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited]

Mutex lock to protect modification to the reference count

Definition at line 147 of file itkLightObject.h.

template<class TFixedImage, class TMovingImage>

MultiThreaderType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_Threader [protected, inherited]

Definition at line 525 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

BSplineTransformIndexArrayType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_ThreaderBSplineTransformIndices [mutable, protected, inherited]

Definition at line 479 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

BSplineTransformWeightsType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_ThreaderBSplineTransformWeights [mutable, protected, inherited]

Definition at line 478 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

unsigned int itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_ThreaderChunkSize [mutable, protected, inherited]

Definition at line 527 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

unsigned int* itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_ThreaderNumberOfMovingImageSamples [mutable, protected, inherited]

Definition at line 529 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

MultiThreaderParameterType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_ThreaderParameter [protected, inherited]

Definition at line 526 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

unsigned int itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_ThreaderSizeOfLastChunk [mutable, protected, inherited]

Definition at line 528 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

TransformPointer* itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_ThreaderTransform [protected, inherited]

Copies of Transform helpers per thread (N-1 of them, since m_Transform will do the work for thread=0.

Definition at line 395 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

TransformPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_Transform [mutable, protected, inherited]

Main transform to be used in thread = 0

Definition at line 230 of file itkImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_TransformIsBSpline [protected, inherited]

Types and variables related to BSpline deformable transforms. If the transform is of type third order BSplineDeformableTransform, then we can speed up the metric derivative calculation by only inspecting the parameters within the support region of a mapped point. Boolean to indicate if the transform is BSpline deformable.

Definition at line 420 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_UseAllPixels [protected, inherited]

Definition at line 407 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_UseCachingOfBSplineWeights [protected, inherited]

Definition at line 474 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_UseFixedImageIndexes [protected, inherited]

Definition at line 360 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_UseFixedImageSamplesIntensityThreshold [protected, inherited]

Definition at line 363 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

BooleanArrayType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_WithinBSplineSupportRegionArray [protected, inherited]

Definition at line 469 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_WithinThreadPostProcess [protected, inherited]

Definition at line 531 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_WithinThreadPreProcess [protected, inherited]

Definition at line 530 of file itkOptImageToImageMetric.h.

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

itkMutualInformationImageToImageMetric.h

itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage > Class Template Reference [Similarity Metrics of Registration Methods]

Detailed Description

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

Public Types

Public Member Functions

Static Public Member Functions

Protected Types

Protected Member Functions

Static Protected Member Functions

Protected Attributes

Classes

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage > Class Template Reference
[Similarity Metrics of Registration Methods]

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