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/*=========================================================================
*
* Copyright UMC Utrecht and contributors
*
* 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 itkPatternIntensityImageToImageMetric_h
#define itkPatternIntensityImageToImageMetric_h
#include "itkAdvancedImageToImageMetric.h"
#include "itkPoint.h"
#include "itkCastImageFilter.h"
#include "itkResampleImageFilter.h"
#include "itkMultiplyImageFilter.h"
#include "itkSubtractImageFilter.h"
#include "itkOptimizer.h"
#include "itkRescaleIntensityImageFilter.h"
#include "itkAdvancedCombinationTransform.h"
#include "itkAdvancedRayCastInterpolateImageFunction.h"
namespace itk
{
/** \class PatternIntensityImageToImageMetric
* \brief Computes similarity between two objects to be registered
*
*
*
* \ingroup RegistrationMetrics
*/
template <class TFixedImage, class TMovingImage>
class ITK_TEMPLATE_EXPORT PatternIntensityImageToImageMetric
: public AdvancedImageToImageMetric<TFixedImage, TMovingImage>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(PatternIntensityImageToImageMetric);
/** Standard class typedefs. */
using Self = PatternIntensityImageToImageMetric;
using Superclass = AdvancedImageToImageMetric<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(PatternIntensityImageToImageMetric, ImageToImageMetric);
/** Typedefs from the superclass. */
using typename Superclass::CoordinateRepresentationType;
using typename Superclass::MovingImageType;
using typename Superclass::MovingImagePixelType;
using typename Superclass::MovingImagePointer;
using typename Superclass::MovingImageConstPointer;
using typename Superclass::FixedImageType;
using typename Superclass::FixedImageConstPointer;
using typename Superclass::FixedImageRegionType;
using typename Superclass::TransformType;
using ScalarType = typename TransformType::ScalarType;
using typename Superclass::TransformPointer;
using typename Superclass::InputPointType;
using typename Superclass::OutputPointType;
using typename Superclass::TransformParametersType;
using typename Superclass::TransformJacobianType;
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::FixedImageMaskType;
using typename Superclass::FixedImageMaskPointer;
using typename Superclass::MovingImageMaskType;
using typename Superclass::MovingImageMaskPointer;
using typename Superclass::MeasureType;
using typename Superclass::DerivativeType;
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 ScalesType = typename Optimizer::ScalesType;
/** The fixed image dimension. */
itkStaticConstMacro(FixedImageDimension, unsigned int, FixedImageType::ImageDimension);
using TransformedMovingImageType = itk::Image<FixedImagePixelType, Self::FixedImageDimension>;
using CombinationTransformType = typename itk::AdvancedCombinationTransform<ScalarType, FixedImageDimension>;
using CombinationTransformPointer = typename CombinationTransformType::Pointer;
using RayCastInterpolatorType = typename itk::AdvancedRayCastInterpolateImageFunction<MovingImageType, ScalarType>;
using RayCastInterpolatorPointer = typename RayCastInterpolatorType::Pointer;
using TransformMovingImageFilterType = itk::ResampleImageFilter<MovingImageType, TransformedMovingImageType>;
using TransformMovingImageFilterPointer = typename TransformMovingImageFilterType::Pointer;
using RescaleIntensityImageFilterType =
itk::RescaleIntensityImageFilter<TransformedMovingImageType, TransformedMovingImageType>;
using RescaleIntensityImageFilterPointer = typename RescaleIntensityImageFilterType::Pointer;
using DifferenceImageFilterType =
itk::SubtractImageFilter<FixedImageType, TransformedMovingImageType, TransformedMovingImageType>;
using DifferenceImageFilterPointer = typename DifferenceImageFilterType::Pointer;
using MultiplyImageFilterType =
itk::MultiplyImageFilter<TransformedMovingImageType, TransformedMovingImageType, TransformedMovingImageType>;
using MultiplyImageFilterPointer = typename MultiplyImageFilterType::Pointer;
/** The moving image dimension. */
itkStaticConstMacro(MovingImageDimension, unsigned int, MovingImageType::ImageDimension);
/** Get the value for single valued optimizers. */
MeasureType
GetValue(const TransformParametersType & parameters) const override;
/** Get the derivatives of the match measure. */
void
GetDerivative(const TransformParametersType & parameters, DerivativeType & derivative) 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.
* \li Call the superclass' implementation
* \li Estimate the normalization factor, if asked for.
*/
void
Initialize() override;
/** Set/Get Scales */
itkSetMacro(Scales, ScalesType);
itkGetConstReferenceMacro(Scales, ScalesType);
/** Set/Get m_NoiseConstant */
itkSetMacro(NoiseConstant, double);
itkGetConstReferenceMacro(NoiseConstant, double);
/** Set/Get OptimizeNormalizationFactor */
itkSetMacro(OptimizeNormalizationFactor, bool);
itkGetConstReferenceMacro(OptimizeNormalizationFactor, bool);
protected:
PatternIntensityImageToImageMetric() = default;
~PatternIntensityImageToImageMetric() override = default;
void
PrintSelf(std::ostream & os, Indent indent) const override;
/** Compute the pattern intensity fixed image*/
MeasureType
ComputePIFixed() const;
/** Compute the pattern intensity difference image. */
MeasureType
ComputePIDiff(const TransformParametersType & parameters, float scalingfactor) const;
private:
TransformMovingImageFilterPointer m_TransformMovingImageFilter{ TransformMovingImageFilterType::New() };
DifferenceImageFilterPointer m_DifferenceImageFilter{ DifferenceImageFilterType::New() };
RescaleIntensityImageFilterPointer m_RescaleImageFilter{ RescaleIntensityImageFilterType::New() };
MultiplyImageFilterPointer m_MultiplyImageFilter{ MultiplyImageFilterType::New() };
double m_NoiseConstant{ 10000 }; // = sigma * sigma = 100*100 if not specified
unsigned int m_NeighborhoodRadius{ 3 };
double m_DerivativeDelta{ 0.001 };
double m_NormalizationFactor{ 1.0 };
double m_Rescalingfactor{ 1.0 };
bool m_OptimizeNormalizationFactor{ false };
ScalesType m_Scales{};
MeasureType m_FixedMeasure{ 0 };
CombinationTransformPointer m_CombinationTransform{ CombinationTransformType::New() };
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkPatternIntensityImageToImageMetric.hxx"
#endif
#endif // end #ifndef itkPatternIntensityImageToImageMetric_h
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