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

#include <itkMutualInformationImageToImageMetric.h>

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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 SelfConstPointer
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< SelfPointer
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 ()
CommandGetCommand (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 FixedImageTypeGetFixedImage ()
virtual const FixedImageTypeGetFixedImage ()
virtual const
FixedImageRegionType
GetFixedImageRegion ()
virtual const
FixedImageRegionType
GetFixedImageRegion ()
virtual const GradientImageTypeGetGradientImage ()
virtual const GradientImageTypeGetGradientImage ()
virtual const InterpolatorTypeGetInterpolator ()
virtual const InterpolatorTypeGetInterpolator ()
const MetaDataDictionaryGetMetaDataDictionary (void) const
MetaDataDictionaryGetMetaDataDictionary (void)
virtual const MovingImageTypeGetMovingImage ()
virtual const MovingImageTypeGetMovingImage ()
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 TransformTypeGetTransform ()
virtual const TransformTypeGetTransform ()
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 FixedImageMaskTypeGetFixedImageMask ()
virtual void SetFixedImageMask (const FixedImageMaskType *_arg)
virtual const FixedImageMaskTypeGetFixedImageMask ()
virtual void SetFixedImageMask (FixedImageMaskType *_arg)
virtual const FixedImagePixelTypeGetFixedImageSamplesIntensityThreshold ()
virtual const bool & GetUseFixedImageSamplesIntensityThreshold ()
void SetFixedImageSamplesIntensityThreshold (const FixedImagePixelType &thresh)
virtual void SetUseFixedImageSamplesIntensityThreshold (bool _arg)
virtual double GetFixedImageStandardDeviation ()
virtual void SetFixedImageStandardDeviation (double _arg)
virtual KernelFunctionGetKernelFunction ()
virtual void SetKernelFunction (KernelFunction *_arg)
virtual const MovingImageMaskTypeGetMovingImageMask ()
virtual void SetMovingImageMask (const MovingImageMaskType *_arg)
virtual const MovingImageMaskTypeGetMovingImageMask ()
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< IndexValueTypeBSplineTransformIndicesArrayType
typedef
BSplineDeformableTransform
< CoordinateRepresentationType,::itk::GetImageDimension
< FixedImageType >
::ImageDimension,
itkGetStaticConstMacro(DeformationSplineOrder) > 
BSplineTransformType
typedef Array2D< WeightsValueTypeBSplineTransformWeightsArrayType
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
BSplineTransformIndexArrayTypem_ThreaderBSplineTransformIndices
BSplineTransformWeightsTypem_ThreaderBSplineTransformWeights
unsigned int m_ThreaderChunkSize
unsigned int * m_ThreaderNumberOfMovingImageSamples
MultiThreaderParameterType m_ThreaderParameter
unsigned int m_ThreaderSizeOfLastChunk
TransformPointerm_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]

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]

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

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

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

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]

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

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

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

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

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]

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

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

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

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

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

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]

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

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]

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

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

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]

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

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

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]

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

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

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

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

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

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

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

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

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

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]


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.

Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, itk::Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< itk::VectorImage< TPixelType, Dimension >, itk::Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, itk::PixelAccessor< TInternalType, TExternalType > >, itk::ImageAdaptor< TImage, itk::Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, itk::Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.

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]

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

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]

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

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,
 
) [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.

Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageAdaptor< TImage, itk::Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< itk::VectorImage< TPixelType, Dimension >, itk::Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, itk::PixelAccessor< TInternalType, TExternalType > >, itk::ImageAdaptor< TImage, itk::Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, itk::Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, itk::RankImageFilter< TInputImage, TInputImage, itk::FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.

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]

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]

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.

Number of uses of this object by other objects.

Definition at line 144 of file itkLightObject.h.

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:

Generated at Sat Feb 28 17:00:44 2009 for ITK by doxygen 1.5.6 written by Dimitri van Heesch, © 1997-2000