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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 itkSumSquaredTissueVolumeDifferenceImageToImageMetric_h
#define itkSumSquaredTissueVolumeDifferenceImageToImageMetric_h
#include "itkAdvancedImageToImageMetric.h"
namespace itk
{
/** \class SumSquaredTissueVolumeDifferenceImageToImageMetric
* \brief Compute sum of square tissue volume difference between two images
*
* This Class is templated over the type of the fixed and moving
* images to be compared.
*
* This metrics implements a mass-preserving image similarity term, as described
* by both Yin et al. and Gorbunova et al. Essentially, the similarity term is
* equivalent to the sum of squared differences between pixels in the moving and
* fixed images, except the intensity of the moving image is first scaled by the
* determinant of the spatial Jacobian to correct for density effects on image
* intensity. Gorbunova et al. provide the analytical gradient of the cost
* function with respect to the transform parameters, which is implemented here.
*
* This implementation is based on the AdvancedImageToImageMetric, which means
* that:
* \li It uses the ImageSampler-framework
* \li It makes use of the compact support of B-splines, in case of B-spline transforms.
* \li Image derivatives are computed using either the B-spline interpolator's implementation
* or by nearest neighbor interpolation of a precomputed central difference image.
* \li A minimum number of samples that should map within the moving image (mask) can be specified.
*
* References:\n
* [1] Yin, Y., Hoffman, E. A., & Lin, C. L. (2009).
* Mass preserving nonrigid registration of CT lung images using cubic B-spline.
* Medical physics, 36(9), 4213-4222.
* [2] Gorbunova, V., Sporring, J., Lo, P., Loeve, M., Tiddens, H. A., Nielsen, M., Dirksen, A., de Bruijne, M. (2012).
* Mass preserving image registration for lung CT.
* Medical image analysis, 16(4), 786-795.
*
* \ingroup RegistrationMetrics
* \ingroup Metrics
*/
template <class TFixedImage, class TMovingImage>
class ITK_TEMPLATE_EXPORT SumSquaredTissueVolumeDifferenceImageToImageMetric
: public AdvancedImageToImageMetric<TFixedImage, TMovingImage>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(SumSquaredTissueVolumeDifferenceImageToImageMetric);
/** Standard class typedefs. */
using Self = SumSquaredTissueVolumeDifferenceImageToImageMetric;
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(SumSquaredTissueVolumeDifferenceImageToImageMetric, AdvancedImageToImageMetric);
/** Typedefs from the superclass. */
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::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::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;
/** Typedefs from the AdvancedTransform. */
using TransformType = typename Superclass::AdvancedTransformType;
using SpatialJacobianType = typename TransformType::SpatialJacobianType;
using JacobianOfSpatialJacobianType = typename TransformType::JacobianOfSpatialJacobianType;
using SpatialHessianType = typename TransformType::SpatialHessianType;
using JacobianOfSpatialHessianType = typename TransformType::JacobianOfSpatialHessianType;
using InternalMatrixType = typename TransformType::InternalMatrixType;
/** The fixed image dimension. */
itkStaticConstMacro(FixedImageDimension, unsigned int, FixedImageType::ImageDimension);
/** The moving image dimension. */
itkStaticConstMacro(MovingImageDimension, unsigned int, MovingImageType::ImageDimension);
/** Get the value for single valued optimizers. */
virtual MeasureType
GetValueSingleThreaded(const TransformParametersType & parameters) const;
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;
/** Get value and derivatives single-threaded */
void
GetValueAndDerivativeSingleThreaded(const TransformParametersType & parameters,
MeasureType & measure,
DerivativeType & derivative) const;
/** Set/get the air intensity value */
itkSetMacro(AirValue, RealType);
itkGetConstMacro(AirValue, RealType);
/** Set/get the tissue intensity value */
itkSetMacro(TissueValue, RealType);
itkGetConstMacro(TissueValue, RealType);
protected:
SumSquaredTissueVolumeDifferenceImageToImageMetric();
~SumSquaredTissueVolumeDifferenceImageToImageMetric() override = default;
void
PrintSelf(std::ostream & os, Indent indent) const override;
/** Protected Typedefs ******************/
/** Typedefs inherited from superclass */
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::MovingImageDerivativeType;
using typename Superclass::NonZeroJacobianIndicesType;
/** Computes the inner product of transform Jacobian with moving image gradient.
* The results are stored in imageJacobian, which is supposed
* to have the right size (same length as Jacobian's number of columns). */
void
EvaluateTransformJacobianInnerProduct(const TransformJacobianType & jacobian,
const MovingImageDerivativeType & movingImageDerivative,
DerivativeType & imageJacobian) const override;
/** Compute a pixel's contribution to the measure and derivatives;
* Called by GetValueAndDerivative(). */
void
UpdateValueAndDerivativeTerms(const RealType fixedImageValue,
const RealType movingImageValue,
const DerivativeType & imageJacobian,
const NonZeroJacobianIndicesType & nzji,
const RealType spatialJacobianDeterminant,
const DerivativeType & jacobianOfSpatialJacobianDeterminant,
MeasureType & measure,
DerivativeType & deriv) const;
/** Compute the dot product of the inverse SpatialJacobian with the
* Jacobian of SpatialJacobian. The results are stored in
* jacobianOfSpatialJacobianDeterminant, which has a length equal to
* the number of transform parameters times the length of the spatialJacobian.
*/
void
EvaluateJacobianOfSpatialJacobianDeterminantInnerProduct(
const JacobianOfSpatialJacobianType & jacobianOfSpatialJacobian,
const SpatialJacobianType & inverseSpatialJacobian,
DerivativeType & jacobianOfSpatialJacobianDeterminant) const;
/** Get value for each thread. */
void
ThreadedGetValue(ThreadIdType threadID) const override;
/** Gather the values from all threads. */
void
AfterThreadedGetValue(MeasureType & value) const override;
/** Get value and derivatives for each thread. */
void
ThreadedGetValueAndDerivative(ThreadIdType threadId) const override;
/** Gather the values and derivatives from all threads */
void
AfterThreadedGetValueAndDerivative(MeasureType & measure, DerivativeType & derivative) const override;
private:
/** Intensity value to use for air. */
RealType m_AirValue{ -1000.0 };
/** Intensity value to use for tissue. */
RealType m_TissueValue{ 55.0 };
}; // end class SumSquaredTissueVolumeDifferenceImageToImageMetric
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkSumSquaredTissueVolumeDifferenceImageToImageMetric.hxx"
#endif
#endif // end #ifndef itkSumSquaredTissueVolumeDifferenceImageToImageMetric_h
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