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

#include <itkAdvancedMeanSquaresImageToImageMetric.h>

Detailed Description

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

Compute Mean square difference between two images, based on AdvancedImageToImageMetric...

This Class is templated over the type of the fixed and moving images to be compared.

This metric computes the sum of squared differenced between pixels in the moving image and pixels in the fixed image. The spatial correspondance between both images is established through a Transform. Pixel values are taken from the Moving image. Their positions are mapped to the Fixed image and result in general in non-grid position on it. Values at these non-grid position of the Fixed image are interpolated using a user-selected Interpolator.

This implementation of the MeanSquareDifference is based on the AdvancedImageToImageMetric, which means that:

  • It uses the ImageSampler-framework
  • It makes use of the compact support of B-splines, in case of B-spline transforms.
  • Image derivatives are computed using either the B-spline interpolator's implementation or by nearest neighbor interpolation of a precomputed central difference image.
  • A minimum number of samples that should map within the moving image (mask) can be specified.

Definition at line 52 of file itkAdvancedMeanSquaresImageToImageMetric.h.

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

Public Types

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

Public Member Functions

void GetDerivative (const ParametersType &parameters, DerivativeType &derivative) const override
virtual bool GetUseNormalization () const
MeasureType GetValue (const ParametersType &parameters) const override
void GetValueAndDerivative (const ParametersType &parameters, MeasureType &value, DerivativeType &derivative) const override
void GetValueAndDerivativeSingleThreaded (const ParametersType &parameters, MeasureType &value, DerivativeType &derivative) const
virtual MeasureType GetValueSingleThreaded (const ParametersType &parameters) const
void Initialize () override
 ITK_DISALLOW_COPY_AND_MOVE (AdvancedMeanSquaresImageToImageMetric)
 itkOverrideGetNameOfClassMacro (AdvancedMeanSquaresImageToImageMetric)
 itkStaticConstMacro (FixedImageDimension, unsigned int, FixedImageType::ImageDimension)
 itkStaticConstMacro (MovingImageDimension, unsigned int, MovingImageType::ImageDimension)
virtual void SetUseNormalization (bool _arg)
Public Member Functions inherited from itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >
virtual void BeforeThreadedGetValueAndDerivative (const TransformParametersType &parameters) const
virtual const FixedImageLimiterTypeGetFixedImageLimiter ()
const FixedImageMaskTypeGetFixedImageMask () const override
virtual double GetFixedLimitRangeRatio () const
ImageSamplerTypeGetImageSampler () const
virtual const MovingImageDerivativeScalesTypeGetMovingImageDerivativeScales ()
virtual const MovingImageLimiterTypeGetMovingImageLimiter ()
const MovingImageMaskTypeGetMovingImageMask () const override
virtual double GetMovingLimitRangeRatio () const
virtual double GetRequiredRatioOfValidSamples () const
virtual bool GetScaleGradientWithRespectToMovingImageOrientation () const
const AdvancedTransformTypeGetTransform () const override
AdvancedTransformTypeGetTransform () override
virtual bool GetUseFixedImageLimiter () const
virtual bool GetUseImageSampler () const
virtual const boolGetUseMetricSingleThreaded ()
virtual bool GetUseMovingImageDerivativeScales () const
virtual bool GetUseMovingImageLimiter () const
virtual const boolGetUseMultiThread ()
void Initialize () override
 ITK_DISALLOW_COPY_AND_MOVE (AdvancedImageToImageMetric)
 itkOverrideGetNameOfClassMacro (AdvancedImageToImageMetric)
 itkStaticConstMacro (FixedImageDimension, unsigned int, TFixedImage::ImageDimension)
 itkStaticConstMacro (MovingImageDimension, unsigned int, TMovingImage::ImageDimension)
virtual void SetFixedImageLimiter (FixedImageLimiterType *_arg)
virtual void SetFixedImageMask (const FixedImageMaskType *const arg)
virtual void SetFixedLimitRangeRatio (double _arg)
virtual void SetImageSampler (ImageSamplerType *_arg)
virtual void SetMovingImageDerivativeScales (MovingImageDerivativeScalesType _arg)
virtual void SetMovingImageLimiter (MovingImageLimiterType *_arg)
virtual void SetMovingImageMask (const MovingImageMaskType *const arg)
virtual void SetMovingLimitRangeRatio (double _arg)
void SetRandomVariateGenerator (Statistics::MersenneTwisterRandomVariateGenerator &randomVariateGenerator)
virtual void SetRequiredRatioOfValidSamples (double _arg)
virtual void SetScaleGradientWithRespectToMovingImageOrientation (bool _arg)
virtual void SetTransform (AdvancedTransformType *arg)
virtual void SetUseMetricSingleThreaded (bool _arg)
virtual void SetUseMovingImageDerivativeScales (bool _arg)
virtual void SetUseMultiThread (bool _arg)
virtual void UseMetricSingleThreadedOff ()
virtual void UseMetricSingleThreadedOn ()
virtual void UseMultiThreadOff ()
virtual void UseMultiThreadOn ()

Static Public Member Functions

static Pointer New ()

Protected Types

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

Protected Member Functions

 AdvancedMeanSquaresImageToImageMetric ()
void AfterThreadedGetValue (MeasureType &value) const override
void AfterThreadedGetValueAndDerivative (MeasureType &value, DerivativeType &derivative) const override
void PrintSelf (std::ostream &os, Indent indent) const override
void ThreadedGetValue (ThreadIdType threadID) const override
void ThreadedGetValueAndDerivative (ThreadIdType threadID) const override
void UpdateValueAndDerivativeTerms (const RealType fixedImageValue, const RealType movingImageValue, const DerivativeType &imageJacobian, const NonZeroJacobianIndicesType &nzji, MeasureType &measure, DerivativeType &deriv) const
 ~AdvancedMeanSquaresImageToImageMetric () override=default
Protected Member Functions inherited from itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >
 AdvancedImageToImageMetric ()
void CheckForAdvancedTransform ()
void CheckForBSplineInterpolator ()
void CheckForBSplineTransform () const
void CheckNumberOfSamples () const
virtual bool EvaluateMovingImageValueAndDerivative (const MovingImagePointType &mappedPoint, RealType &movingImageValue, MovingImageDerivativeType *gradient) const
bool EvaluateTransformJacobian (const FixedImagePointType &fixedImagePoint, TransformJacobianType &jacobian, NonZeroJacobianIndicesType &nzji) const
virtual void EvaluateTransformJacobianInnerProduct (const TransformJacobianType &jacobian, const MovingImageDerivativeType &movingImageDerivative, DerivativeType &imageJacobian) const
bool FastEvaluateMovingImageValueAndDerivative (const MovingImagePointType &mappedPoint, RealType &movingImageValue, MovingImageDerivativeType *gradient, const ThreadIdType threadId) const
Statistics::MersenneTwisterRandomVariateGenerator & GetMutableRandomVariateGenerator () const
Statistics::MersenneTwisterRandomVariateGenerator & GetRandomVariateGenerator ()
virtual void InitializeImageSampler ()
void InitializeLimiters ()
virtual void InitializeThreadingParameters () const
virtual bool IsInsideMovingMask (const MovingImagePointType &point) const
 itkAlignedTypedef (ITK_CACHE_LINE_ALIGNMENT, PaddedGetValueAndDerivativePerThreadStruct, AlignedGetValueAndDerivativePerThreadStruct)
 itkPadStruct (ITK_CACHE_LINE_ALIGNMENT, GetValueAndDerivativePerThreadStruct, PaddedGetValueAndDerivativePerThreadStruct)
void LaunchGetValueAndDerivativeThreaderCallback () const
void LaunchGetValueThreaderCallback () const
void PrintSelf (std::ostream &os, Indent indent) const override
void SetFixedImageMask (const typename Superclass::FixedImageMaskType *) final
void SetFixedImageMask (typename Superclass::FixedImageMaskType *) final
void SetMovingImageMask (const typename Superclass::MovingImageMaskType *) final
void SetMovingImageMask (typename Superclass::MovingImageMaskType *) final
virtual void SetUseFixedImageLimiter (bool _arg)
virtual void SetUseImageSampler (bool _arg)
virtual void SetUseMovingImageLimiter (bool _arg)
MovingImagePointType TransformPoint (const FixedImagePointType &fixedImagePoint) const
 ~AdvancedImageToImageMetric () override=default

Private Attributes

double m_NormalizationFactor { 1.0 }
bool m_UseNormalization { false }

Additional Inherited Members

Static Protected Member Functions inherited from itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION AccumulateDerivativesThreaderCallback (void *arg)
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION GetValueAndDerivativeThreaderCallback (void *arg)
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION GetValueThreaderCallback (void *arg)
Protected Attributes inherited from itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >
AdvancedTransformType::Pointer m_AdvancedTransform { nullptr }
FixedImageLimiterOutputType m_FixedImageMaxLimit { 1 }
FixedImageLimiterOutputType m_FixedImageMinLimit { 0 }
FixedImagePixelType m_FixedImageTrueMax { 1 }
FixedImagePixelType m_FixedImageTrueMin { 0 }
double m_FixedLimitRangeRatio { 0.01 }
std::unique_ptr< AlignedGetValueAndDerivativePerThreadStruct[]> m_GetValueAndDerivativePerThreadVariables
ThreadIdType m_GetValueAndDerivativePerThreadVariablesSize { 0 }
ImageSamplerPointer m_ImageSampler { nullptr }
MovingImageLimiterOutputType m_MovingImageMaxLimit { 1 }
MovingImageLimiterOutputType m_MovingImageMinLimit { 0 }
MovingImagePixelType m_MovingImageTrueMax { 1 }
MovingImagePixelType m_MovingImageTrueMin { 0 }
double m_MovingLimitRangeRatio { 0.01 }
MultiThreaderParameterType m_ThreaderMetricParameters {}
bool m_TransformIsBSpline { false }
bool m_UseMetricSingleThreaded { true }
bool m_UseMultiThread { false }

Member Typedef Documentation

◆ BSplineInterpolatorType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::BSplineInterpolatorType
protected

Typedefs used for computing image derivatives.

Definition at line 350 of file itkAdvancedImageToImageMetric.h.

◆ ConstPointer

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::ConstPointer = SmartPointer<const Self>

Definition at line 62 of file itkAdvancedMeanSquaresImageToImageMetric.h.

◆ DerivativeValueType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::DerivativeValueType

Definition at line 135 of file itkAdvancedImageToImageMetric.h.

◆ FixedImageIndexType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::FixedImageIndexType
protected

Protected Typedefs Typedefs for indices and points.

Definition at line 342 of file itkAdvancedImageToImageMetric.h.

◆ FixedImageIndexValueType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::FixedImageIndexValueType
protected

Definition at line 343 of file itkAdvancedImageToImageMetric.h.

◆ FixedImageLimiterOutputType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::FixedImageLimiterOutputType

Definition at line 152 of file itkAdvancedImageToImageMetric.h.

◆ FixedImageLimiterType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::FixedImageLimiterType

Typedefs for Limiter support.

Definition at line 150 of file itkAdvancedImageToImageMetric.h.

◆ FixedImageMaskPointer

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::FixedImageMaskPointer

Definition at line 127 of file itkAdvancedImageToImageMetric.h.

◆ FixedImageMaskType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::FixedImageMaskType

Definition at line 126 of file itkAdvancedImageToImageMetric.h.

◆ FixedImagePixelType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::FixedImagePixelType

Some useful extra typedefs.

Definition at line 139 of file itkAdvancedImageToImageMetric.h.

◆ FixedImagePointType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::FixedImagePointType
protected

Definition at line 345 of file itkAdvancedImageToImageMetric.h.

◆ ImageSampleContainerPointer

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::ImageSampleContainerPointer

Definition at line 147 of file itkAdvancedImageToImageMetric.h.

◆ ImageSampleContainerType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::ImageSampleContainerType

Definition at line 146 of file itkAdvancedImageToImageMetric.h.

◆ ImageSamplerPointer

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::ImageSamplerPointer

Definition at line 145 of file itkAdvancedImageToImageMetric.h.

◆ ImageSamplerType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::ImageSamplerType

Typedefs for the ImageSampler.

Definition at line 144 of file itkAdvancedImageToImageMetric.h.

◆ MovingImageContinuousIndexType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::MovingImageContinuousIndexType
protected

Definition at line 347 of file itkAdvancedImageToImageMetric.h.

◆ MovingImageDerivativeScalesType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::MovingImageDerivativeScalesType

Definition at line 141 of file itkAdvancedImageToImageMetric.h.

◆ MovingImageDerivativeType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::MovingImageDerivativeType
protected

Definition at line 361 of file itkAdvancedImageToImageMetric.h.

◆ MovingImageIndexType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::MovingImageIndexType
protected

Definition at line 344 of file itkAdvancedImageToImageMetric.h.

◆ MovingImageLimiterOutputType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::MovingImageLimiterOutputType

Definition at line 155 of file itkAdvancedImageToImageMetric.h.

◆ MovingImageLimiterType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::MovingImageLimiterType

Definition at line 153 of file itkAdvancedImageToImageMetric.h.

◆ MovingImageMaskPointer

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::MovingImageMaskPointer

Definition at line 130 of file itkAdvancedImageToImageMetric.h.

◆ MovingImageMaskType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::MovingImageMaskType

Definition at line 129 of file itkAdvancedImageToImageMetric.h.

◆ MovingImagePointType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::MovingImagePointType
protected

Definition at line 346 of file itkAdvancedImageToImageMetric.h.

◆ MovingImageRegionType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::MovingImageRegionType

Definition at line 140 of file itkAdvancedImageToImageMetric.h.

◆ NonZeroJacobianIndicesType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::NonZeroJacobianIndicesType
protected

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

Definition at line 364 of file itkAdvancedImageToImageMetric.h.

◆ NumberOfParametersType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::NumberOfParametersType

Definition at line 160 of file itkAdvancedImageToImageMetric.h.

◆ Pointer

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::Pointer = SmartPointer<Self>

Definition at line 61 of file itkAdvancedMeanSquaresImageToImageMetric.h.

◆ Self

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::Self = AdvancedMeanSquaresImageToImageMetric

Standard class typedefs.

Definition at line 59 of file itkAdvancedMeanSquaresImageToImageMetric.h.

◆ Superclass

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::Superclass = AdvancedImageToImageMetric<TFixedImage, TMovingImage>

Definition at line 60 of file itkAdvancedMeanSquaresImageToImageMetric.h.

◆ ThreadInfoType

template<typename TFixedImage, typename TMovingImage>
using itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage >::ThreadInfoType

Typedef for multi-threading.

Definition at line 172 of file itkAdvancedImageToImageMetric.h.

Constructor & Destructor Documentation

◆ AdvancedMeanSquaresImageToImageMetric()

template<typename TFixedImage, typename TMovingImage>
itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::AdvancedMeanSquaresImageToImageMetric ( )
protected

◆ ~AdvancedMeanSquaresImageToImageMetric()

template<typename TFixedImage, typename TMovingImage>
itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::~AdvancedMeanSquaresImageToImageMetric ( )
overrideprotecteddefault

Member Function Documentation

◆ AfterThreadedGetValue()

template<typename TFixedImage, typename TMovingImage>
void itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::AfterThreadedGetValue ( MeasureType & value) const
overrideprotectedvirtual

Gather the values from all threads.

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

◆ AfterThreadedGetValueAndDerivative()

template<typename TFixedImage, typename TMovingImage>
void itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::AfterThreadedGetValueAndDerivative ( MeasureType & value,
DerivativeType & derivative ) const
overrideprotectedvirtual

Gather the values and derivatives from all threads.

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

◆ GetDerivative()

template<typename TFixedImage, typename TMovingImage>
void itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::GetDerivative ( const ParametersType & parameters,
DerivativeType & derivative ) const
override

Get the derivatives of the match measure.

◆ GetUseNormalization()

template<typename TFixedImage, typename TMovingImage>
virtual bool itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::GetUseNormalization ( ) const
virtual

◆ GetValue()

template<typename TFixedImage, typename TMovingImage>
MeasureType itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::GetValue ( const ParametersType & parameters) const
override

◆ GetValueAndDerivative()

template<typename TFixedImage, typename TMovingImage>
void itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivative ( const ParametersType & parameters,
MeasureType & value,
DerivativeType & derivative ) const
override

◆ GetValueAndDerivativeSingleThreaded()

template<typename TFixedImage, typename TMovingImage>
void itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeSingleThreaded ( const ParametersType & parameters,
MeasureType & value,
DerivativeType & derivative ) const

Get value and derivative.

◆ GetValueSingleThreaded()

template<typename TFixedImage, typename TMovingImage>
virtual MeasureType itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::GetValueSingleThreaded ( const ParametersType & parameters) const
virtual

Get the value for single valued optimizers.

◆ Initialize()

template<typename TFixedImage, typename TMovingImage>
void itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::Initialize ( )
override

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

  • Call the superclass' implementation
  • Estimate the normalization factor, if asked for.

◆ ITK_DISALLOW_COPY_AND_MOVE()

template<typename TFixedImage, typename TMovingImage>
itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::ITK_DISALLOW_COPY_AND_MOVE ( AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage > )

◆ itkOverrideGetNameOfClassMacro()

template<typename TFixedImage, typename TMovingImage>
itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::itkOverrideGetNameOfClassMacro ( AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage > )

Run-time type information (and related methods).

◆ itkStaticConstMacro() [1/2]

template<typename TFixedImage, typename TMovingImage>
itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::itkStaticConstMacro ( FixedImageDimension ,
unsigned int ,
FixedImageType::ImageDimension  )

The fixed image dimension.

◆ itkStaticConstMacro() [2/2]

template<typename TFixedImage, typename TMovingImage>
itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::itkStaticConstMacro ( MovingImageDimension ,
unsigned int ,
MovingImageType::ImageDimension  )

The moving image dimension.

◆ New()

template<typename TFixedImage, typename TMovingImage>
Pointer itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::New ( )
static

Method for creation through the object factory.

◆ PrintSelf()

template<typename TFixedImage, typename TMovingImage>
void itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::PrintSelf ( std::ostream & os,
Indent indent ) const
overrideprotected

◆ SetUseNormalization()

template<typename TFixedImage, typename TMovingImage>
virtual void itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::SetUseNormalization ( bool _arg)
virtual

Set/Get whether to normalize the mean squares measure. This divides the MeanSquares by a factor (range/10)^2, where range represents the maximum gray value range of the images. Based on the ad hoc assumption that range/10 is the maximum average difference that will be observed. Dividing by range^2 sounds less ad hoc, but will yield very small values.

◆ ThreadedGetValue()

template<typename TFixedImage, typename TMovingImage>
void itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::ThreadedGetValue ( ThreadIdType threadID) const
overrideprotectedvirtual

Get value for each thread.

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

◆ ThreadedGetValueAndDerivative()

template<typename TFixedImage, typename TMovingImage>
void itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::ThreadedGetValueAndDerivative ( ThreadIdType threadID) const
overrideprotectedvirtual

Get value and derivatives for each thread.

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

◆ UpdateValueAndDerivativeTerms()

template<typename TFixedImage, typename TMovingImage>
void itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::UpdateValueAndDerivativeTerms ( const RealType fixedImageValue,
const RealType movingImageValue,
const DerivativeType & imageJacobian,
const NonZeroJacobianIndicesType & nzji,
MeasureType & measure,
DerivativeType & deriv ) const
protected

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

Member Data Documentation

◆ m_NormalizationFactor

template<typename TFixedImage, typename TMovingImage>
double itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::m_NormalizationFactor { 1.0 }
private

Definition at line 203 of file itkAdvancedMeanSquaresImageToImageMetric.h.

◆ m_UseNormalization

template<typename TFixedImage, typename TMovingImage>
bool itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage >::m_UseNormalization { false }
private

Definition at line 204 of file itkAdvancedMeanSquaresImageToImageMetric.h.



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