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itkGradientDifferenceImageToImageMetric.h
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itkGradientDifferenceImageToImageMetric.h
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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#ifndef itkGradientDifferenceImageToImageMetric_h
#define itkGradientDifferenceImageToImageMetric_h
#include "itkImageToImageMetric.h"
#include "itkSobelOperator.h"
#include "itkNeighborhoodOperatorImageFilter.h"
#include "itkPoint.h"
#include "itkCastImageFilter.h"
#include "itkResampleImageFilter.h"
namespace itk
{
/** \class GradientDifferenceImageToImageMetric
* \brief Computes similarity between two objects to be registered
*
* This Class is templated over the type of the Images to be compared and
* over the type of transformation and Iterpolator to be used.
*
* This metric computes the sum of squared differences between pixels in
* the derivatives of the moving and fixed images after passing the squared
* difference through a function of type \f$ \frac{1}{1+x} \f$.
*
* \warning THIS IMAGE METRIC IS CURRENTLY UNDER DEBUGGING. USE AT YOUR OWN RISK.
*
* 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.
*
* Implementation of this class is based on:
* Hipwell, J. H., et. al. (2003), "Intensity-Based 2-D-3D Registration of
* Cerebral Angiograms,", IEEE Transactions on Medical Imaging,
* 22(11):1417-1426.
*
* \ingroup RegistrationMetrics
* \ingroup ITKRegistrationCommon
*/
template< typename TFixedImage, typename TMovingImage >
class ITK_TEMPLATE_EXPORT GradientDifferenceImageToImageMetric:
public ImageToImageMetric< TFixedImage, TMovingImage >
{
public:
ITK_DISALLOW_COPY_AND_ASSIGN(GradientDifferenceImageToImageMetric);
/** Standard class type aliases. */
using Self = GradientDifferenceImageToImageMetric;
using Superclass = ImageToImageMetric< TFixedImage, TMovingImage >;
using Pointer = SmartPointer< Self >;
using ConstPointer = SmartPointer< const Self >;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(GradientDifferenceImageToImageMetric, ImageToImageMetric);
/** Types transferred from the base class */
using RealType = typename Superclass::RealType;
using TransformType = typename Superclass::TransformType;
using TransformPointer = typename Superclass::TransformPointer;
using TransformParametersType = typename Superclass::TransformParametersType;
using TransformJacobianType = typename Superclass::TransformJacobianType;
using MeasureType = typename Superclass::MeasureType;
using DerivativeType = typename Superclass::DerivativeType;
using FixedImageType = typename Superclass::FixedImageType;
using MovingImageType = typename Superclass::MovingImageType;
using FixedImageConstPointer = typename Superclass::FixedImageConstPointer;
using MovingImageConstPointer = typename Superclass::MovingImageConstPointer;
using FixedImagePixelType = typename TFixedImage::PixelType;
using MovedImagePixelType = typename TMovingImage::PixelType;
static constexpr unsigned int FixedImageDimension = TFixedImage::ImageDimension;
/** Types for transforming the moving image */
using TransformedMovingImageType = itk::Image< FixedImagePixelType,
Self::FixedImageDimension >;
using TransformMovingImageFilterType =
itk::ResampleImageFilter< MovingImageType, TransformedMovingImageType >;
/** Sobel filters to compute the gradients of the Fixed Image */
using FixedGradientImageType = itk::Image< RealType, Self::FixedImageDimension >;
using CastFixedImageFilterType = itk::CastImageFilter< FixedImageType, FixedGradientImageType >;
using CastFixedImageFilterPointer = typename CastFixedImageFilterType::Pointer;
using FixedGradientPixelType = typename FixedGradientImageType::PixelType;
/** Sobel filters to compute the gradients of the Moved Image */
static constexpr unsigned int MovedImageDimension = MovingImageType::ImageDimension;
using MovedGradientImageType = itk::Image< RealType, Self::MovedImageDimension >;
using CastMovedImageFilterType = itk::CastImageFilter< TransformedMovingImageType, MovedGradientImageType >;
using CastMovedImageFilterPointer = typename CastMovedImageFilterType::Pointer;
using MovedGradientPixelType = typename MovedGradientImageType::PixelType;
/** Get the derivatives of the match measure. */
void GetDerivative(const TransformParametersType & parameters,
DerivativeType & derivative) const override;
/** Get the value for single valued optimizers. */
MeasureType GetValue(const TransformParametersType & parameters) const override;
/** Get value and derivatives for multiple valued optimizers. */
void GetValueAndDerivative(const TransformParametersType & parameters,
MeasureType & Value, DerivativeType & derivative) const override;
/** Initialize the Metric by making sure that all the components
* are present and plugged together correctly */
void Initialize() override;
/** Write gradient images to a files for debugging purposes. */
void WriteGradientImagesToFiles() const;
/** Set/Get the value of Delta used for computing derivatives by finite
* differences in the GetDerivative() method */
itkSetMacro(DerivativeDelta, double);
itkGetConstReferenceMacro(DerivativeDelta, double);
protected:
GradientDifferenceImageToImageMetric();
~GradientDifferenceImageToImageMetric() override = default;
void PrintSelf(std::ostream & os, Indent indent) const override;
/** Compute the range of the moved image gradients. */
void ComputeMovedGradientRange() const;
/** Compute the variance and range of the moving image gradients. */
void ComputeVariance() const;
/** Compute the similarity measure using a specified subtraction factor. */
MeasureType ComputeMeasure(const TransformParametersType & parameters,
const double *subtractionFactor) const;
using FixedSobelFilter = NeighborhoodOperatorImageFilter<
FixedGradientImageType, FixedGradientImageType >;
using MovedSobelFilter = NeighborhoodOperatorImageFilter<
MovedGradientImageType, MovedGradientImageType >;
private:
/** The variance of the moving image gradients. */
mutable MovedGradientPixelType m_Variance[FixedImageDimension];
/** The range of the moving image gradients. */
mutable MovedGradientPixelType m_MinMovedGradient[MovedImageDimension];
mutable MovedGradientPixelType m_MaxMovedGradient[MovedImageDimension];
/** The range of the fixed image gradients. */
mutable FixedGradientPixelType m_MinFixedGradient[FixedImageDimension];
mutable FixedGradientPixelType m_MaxFixedGradient[FixedImageDimension];
/** The filter for transforming the moving image. */
typename TransformMovingImageFilterType::Pointer m_TransformMovingImageFilter;
/** The Sobel gradients of the fixed image */
CastFixedImageFilterPointer m_CastFixedImageFilter;
SobelOperator< FixedGradientPixelType,
Self::FixedImageDimension >
m_FixedSobelOperators[FixedImageDimension];
typename FixedSobelFilter::Pointer m_FixedSobelFilters[Self::FixedImageDimension];
ZeroFluxNeumannBoundaryCondition< MovedGradientImageType > m_MovedBoundCond;
ZeroFluxNeumannBoundaryCondition< FixedGradientImageType > m_FixedBoundCond;
/** The Sobel gradients of the moving image */
CastMovedImageFilterPointer m_CastMovedImageFilter;
SobelOperator< MovedGradientPixelType,
Self::MovedImageDimension >
m_MovedSobelOperators[MovedImageDimension];
typename MovedSobelFilter::Pointer m_MovedSobelFilters[Self::MovedImageDimension];
double m_DerivativeDelta;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkGradientDifferenceImageToImageMetric.hxx"
#endif
#endif