itkAdvancedMeanSquaresImageToImageMetric.h

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 *  Copyright UMC Utrecht and contributors
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 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
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 *  distributed under the License is distributed on an "AS IS" BASIS,
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 *  See the License for the specific language governing permissions and
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#ifndef itkAdvancedMeanSquaresImageToImageMetric_h
#define itkAdvancedMeanSquaresImageToImageMetric_h
 
#include "itkAdvancedImageToImageMetric.h"
 
#include "itkSmoothingRecursiveGaussianImageFilter.h"   // needed for SelfHessian
#include "itkImageGridSampler.h"                        // needed for SelfHessian
#include "itkNearestNeighborInterpolateImageFunction.h" // needed for SelfHessian
 
namespace itk
{
 
template <class TFixedImage, class TMovingImage>
class ITK_TEMPLATE_EXPORT AdvancedMeanSquaresImageToImageMetric
  : public AdvancedImageToImageMetric<TFixedImage, TMovingImage>
{
public:
  ITK_DISALLOW_COPY_AND_MOVE(AdvancedMeanSquaresImageToImageMetric);
 
  using Self = AdvancedMeanSquaresImageToImageMetric;
  using Superclass = AdvancedImageToImageMetric<TFixedImage, TMovingImage>;
  using Pointer = SmartPointer<Self>;
  using ConstPointer = SmartPointer<const Self>;
 
  itkNewMacro(Self);
 
  itkTypeMacro(AdvancedMeanSquaresImageToImageMetric, AdvancedImageToImageMetric);
 
  using typename Superclass::CoordinateRepresentationType;
  using typename Superclass::MovingImageType;
  using typename Superclass::MovingImagePixelType;
  using typename Superclass::MovingImageConstPointer;
  using typename Superclass::FixedImageType;
  using typename Superclass::FixedImageConstPointer;
  using typename Superclass::FixedImageRegionType;
  using typename Superclass::TransformType;
  using typename Superclass::TransformPointer;
  using typename Superclass::InputPointType;
  using typename Superclass::OutputPointType;
  using typename Superclass::TransformParametersType;
  using typename Superclass::TransformJacobianType;
  using typename Superclass::NumberOfParametersType;
  using typename Superclass::InterpolatorType;
  using typename Superclass::InterpolatorPointer;
  using typename Superclass::RealType;
  using typename Superclass::GradientPixelType;
  using typename Superclass::GradientImageType;
  using typename Superclass::GradientImagePointer;
  using typename Superclass::GradientImageFilterType;
  using typename Superclass::GradientImageFilterPointer;
  using typename Superclass::FixedImageMaskType;
  using typename Superclass::FixedImageMaskPointer;
  using typename Superclass::MovingImageMaskType;
  using typename Superclass::MovingImageMaskPointer;
  using typename Superclass::MeasureType;
  using typename Superclass::DerivativeType;
  using typename Superclass::DerivativeValueType;
  using typename Superclass::ParametersType;
  using typename Superclass::FixedImagePixelType;
  using typename Superclass::MovingImageRegionType;
  using typename Superclass::ImageSamplerType;
  using typename Superclass::ImageSamplerPointer;
  using typename Superclass::ImageSampleContainerType;
  using typename Superclass::ImageSampleContainerPointer;
  using typename Superclass::FixedImageLimiterType;
  using typename Superclass::MovingImageLimiterType;
  using typename Superclass::FixedImageLimiterOutputType;
  using typename Superclass::MovingImageLimiterOutputType;
  using typename Superclass::MovingImageDerivativeScalesType;
  using typename Superclass::HessianValueType;
  using typename Superclass::HessianType;
  using typename Superclass::ThreaderType;
  using typename Superclass::ThreadInfoType;
 
  using typename Superclass::FixedImageMaskSpatialObject2Type;
  using typename Superclass::MovingImageMaskSpatialObject2Type;
 
  itkStaticConstMacro(FixedImageDimension, unsigned int, FixedImageType::ImageDimension);
 
  itkStaticConstMacro(MovingImageDimension, unsigned int, MovingImageType::ImageDimension);
 
  virtual MeasureType
  GetValueSingleThreaded(const TransformParametersType & parameters) const;
 
  MeasureType
  GetValue(const TransformParametersType & parameters) const override;
 
  void
  GetDerivative(const TransformParametersType & parameters, DerivativeType & derivative) const override;
 
  void
  GetValueAndDerivativeSingleThreaded(const TransformParametersType & parameters,
                                      MeasureType &                   value,
                                      DerivativeType &                derivative) const;
 
  void
  GetValueAndDerivative(const TransformParametersType & parameters,
                        MeasureType &                   value,
                        DerivativeType &                derivative) const override;
 
  void
  GetSelfHessian(const TransformParametersType & parameters, HessianType & H) const override;
 
  itkSetMacro(SelfHessianSmoothingSigma, double);
  itkGetConstMacro(SelfHessianSmoothingSigma, double);
 
  itkSetMacro(SelfHessianNoiseRange, double);
  itkGetConstMacro(SelfHessianNoiseRange, double);
 
  itkSetMacro(NumberOfSamplesForSelfHessian, unsigned int);
  itkGetConstMacro(NumberOfSamplesForSelfHessian, unsigned int);
 
  void
  Initialize() override;
 
  itkSetMacro(UseNormalization, bool);
  itkGetConstMacro(UseNormalization, bool);
 
  itkSetMacro(UseOpenMP, bool);
 
protected:
  AdvancedMeanSquaresImageToImageMetric();
  ~AdvancedMeanSquaresImageToImageMetric() override = default;
 
  void
  PrintSelf(std::ostream & os, Indent indent) const override;
 
  using typename Superclass::FixedImageIndexType;
  using typename Superclass::FixedImageIndexValueType;
  using typename Superclass::MovingImageIndexType;
  using typename Superclass::FixedImagePointType;
  using typename Superclass::MovingImagePointType;
  using typename Superclass::MovingImageContinuousIndexType;
  using typename Superclass::BSplineInterpolatorType;
  using typename Superclass::CentralDifferenceGradientFilterType;
  using typename Superclass::MovingImageDerivativeType;
  using typename Superclass::NonZeroJacobianIndicesType;
 
  using SmootherType = SmoothingRecursiveGaussianImageFilter<FixedImageType, FixedImageType>;
  using FixedImageInterpolatorType = BSplineInterpolateImageFunction<FixedImageType, CoordinateRepresentationType>;
  using DummyFixedImageInterpolatorType =
    NearestNeighborInterpolateImageFunction<FixedImageType, CoordinateRepresentationType>;
  using SelfHessianSamplerType = ImageGridSampler<FixedImageType>;
 
  double m_NormalizationFactor;
 
  void
  UpdateValueAndDerivativeTerms(const RealType                     fixedImageValue,
                                const RealType                     movingImageValue,
                                const DerivativeType &             imageJacobian,
                                const NonZeroJacobianIndicesType & nzji,
                                MeasureType &                      measure,
                                DerivativeType &                   deriv) const;
 
  void
  UpdateSelfHessianTerms(const DerivativeType &             imageJacobian,
                         const NonZeroJacobianIndicesType & nzji,
                         HessianType &                      H) const;
 
  void
  ThreadedGetValue(ThreadIdType threadID) override;
 
  void
  AfterThreadedGetValue(MeasureType & value) const override;
 
  void
  ThreadedGetValueAndDerivative(ThreadIdType threadID) override;
 
  void
  AfterThreadedGetValueAndDerivative(MeasureType & value, DerivativeType & derivative) const override;
 
private:
  bool         m_UseNormalization;
  double       m_SelfHessianSmoothingSigma;
  double       m_SelfHessianNoiseRange;
  unsigned int m_NumberOfSamplesForSelfHessian;
};
 
} // end namespace itk
 
#ifndef ITK_MANUAL_INSTANTIATION
#  include "itkAdvancedMeanSquaresImageToImageMetric.hxx"
#endif
 
#endif // end #ifndef itkAdvancedMeanSquaresImageToImageMetric_h