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/*=========================================================================
*
* Copyright NumFOCUS
*
* 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
*
* https://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 itkExponentialDisplacementFieldImageFilter_h
#define itkExponentialDisplacementFieldImageFilter_h
#include "itkDivideImageFilter.h"
#include "itkCastImageFilter.h"
#include "itkWarpVectorImageFilter.h"
#include "itkVectorLinearInterpolateNearestNeighborExtrapolateImageFunction.h"
#include "itkAddImageFilter.h"
namespace itk
{
/** \class ExponentialDisplacementFieldImageFilter
* \brief Computes a diffeomorphic displacement field as the Lie group
* exponential of a vector field.
*
* ExponentialDisplacementFieldImageFilter takes a 'smooth' vector field
* as input and computes the displacement field that is its exponential.
*
* Given that both the input and output displacement field are represented as
* discrete images with pixel type vector, the exponential will be only an
* estimation and will probably not correspond to a perfect exponential. The
* precision of the exponential can be improved at the price of increasing the
* computation time (number of iterations).
*
* The method used for computing the exponential displacement field is
* an iterative scaling and squaring (cf Arsigny et al., "A
* Log-Euclidean Framework for Statistics on Diffeomorphisms", MICCAI'06).
*
* \f[
* exp(\Phi) = exp( \frac{\Phi}{2^N} )^{2^N}
* \f]
*
*
* This filter expects both the input and output images to be of pixel type
* Vector.
*
* \author Tom Vercauteren, INRIA & Mauna Kea Technologies
*
* This implementation was taken from the Insight Journal paper:
* https://www.insight-journal.org/browse/publication/154
*
* \ingroup ITKDisplacementField
*/
template <typename TInputImage, typename TOutputImage>
class ITK_TEMPLATE_EXPORT ExponentialDisplacementFieldImageFilter : public ImageToImageFilter<TInputImage, TOutputImage>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(ExponentialDisplacementFieldImageFilter);
/** Standard class type aliases. */
using Self = ExponentialDisplacementFieldImageFilter;
using Superclass = ImageToImageFilter<TInputImage, TOutputImage>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(ExponentialDisplacementFieldImageFilter);
/** Some convenient type alias. */
using InputImageType = TInputImage;
using InputImagePointer = typename InputImageType::Pointer;
using InputImageConstPointer = typename InputImageType::ConstPointer;
using InputPixelType = typename InputImageType::PixelType;
using InputPixelRealValueType = typename InputPixelType::RealValueType;
using OutputImageType = TOutputImage;
using OutputImagePointer = typename OutputImageType::Pointer;
using OutputPixelType = typename OutputImageType::PixelType;
/** Specify the maximum number of iteration. */
itkSetMacro(MaximumNumberOfIterations, unsigned int);
itkGetConstMacro(MaximumNumberOfIterations, unsigned int);
/** If AutomaticNumberOfIterations is off, the number of iterations is
* given by MaximumNumberOfIterations. If it is on, we try to get
* the lowest good number (which may not be larger than
* MaximumNumberOfIterations ) */
itkSetMacro(AutomaticNumberOfIterations, bool);
itkGetConstMacro(AutomaticNumberOfIterations, bool);
itkBooleanMacro(AutomaticNumberOfIterations);
/** If ComputeInverse is on, the filter will compute the exponential
* of the opposite (minus) of the input vector field. The output displacement
* fields computed with ComputeInverse set to on and off respectively
* therefore represent spatial transformations that are inverses of
* each other. */
itkSetMacro(ComputeInverse, bool);
itkGetConstMacro(ComputeInverse, bool);
itkBooleanMacro(ComputeInverse);
/** Image dimension. */
static constexpr unsigned int ImageDimension = TInputImage::ImageDimension;
static constexpr unsigned int OutputImageDimension = TInputImage::ImageDimension;
static constexpr unsigned int PixelDimension = InputPixelType::Dimension;
static constexpr unsigned int OutputPixelDimension = OutputPixelType::Dimension;
#ifdef ITK_USE_CONCEPT_CHECKING
// Begin concept checking
itkConceptMacro(OutputHasNumericTraitsCheck, (Concept::HasNumericTraits<typename OutputPixelType::ValueType>));
itkConceptMacro(SameDimensionCheck1, (Concept::SameDimension<ImageDimension, OutputImageDimension>));
itkConceptMacro(SameDimensionCheck2, (Concept::SameDimension<ImageDimension, PixelDimension>));
itkConceptMacro(SameDimensionCheck3, (Concept::SameDimension<ImageDimension, OutputPixelDimension>));
// End concept checking
#endif
protected:
ExponentialDisplacementFieldImageFilter();
~ExponentialDisplacementFieldImageFilter() override = default;
void
PrintSelf(std::ostream & os, Indent indent) const override;
/**
* GenerateData()
*/
void
GenerateData() override;
using RegionType = typename InputImageType::RegionType;
using DivideByConstantType =
DivideImageFilter<InputImageType, itk::Image<InputPixelRealValueType, ImageDimension>, OutputImageType>;
using CasterType = CastImageFilter<InputImageType, OutputImageType>;
using VectorWarperType = WarpVectorImageFilter<OutputImageType, OutputImageType, OutputImageType>;
using FieldInterpolatorType = VectorLinearInterpolateNearestNeighborExtrapolateImageFunction<OutputImageType, double>;
using AdderType = AddImageFilter<OutputImageType, OutputImageType, OutputImageType>;
using DivideByConstantPointer = typename DivideByConstantType::Pointer;
using CasterPointer = typename CasterType::Pointer;
using VectorWarperPointer = typename VectorWarperType::Pointer;
using FieldInterpolatorPointer = typename FieldInterpolatorType::Pointer;
using FieldInterpolatorOutputType = typename FieldInterpolatorType::OutputType;
using AdderPointer = typename AdderType::Pointer;
private:
bool m_AutomaticNumberOfIterations{};
unsigned int m_MaximumNumberOfIterations{};
bool m_ComputeInverse{};
DivideByConstantPointer m_Divider{};
CasterPointer m_Caster{};
VectorWarperPointer m_Warper{};
AdderPointer m_Adder{};
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkExponentialDisplacementFieldImageFilter.hxx"
#endif
#endif
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