itkInvertDisplacementFieldImageFilter.h

Go to the documentation of this file.

/*=========================================================================
 *
 *  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 itkInvertDisplacementFieldImageFilter_h
#define itkInvertDisplacementFieldImageFilter_h
 
#include "itkImageToImageFilter.h"
#include "itkVectorInterpolateImageFunction.h"
#include "itkVectorLinearInterpolateImageFunction.h"
#include <mutex>
 
namespace itk
{
 
template <typename TInputImage, typename TOutputImage = TInputImage>
class ITK_TEMPLATE_EXPORT InvertDisplacementFieldImageFilter : public ImageToImageFilter<TInputImage, TOutputImage>
{
public:
  ITK_DISALLOW_COPY_AND_MOVE(InvertDisplacementFieldImageFilter);
 
  using Self = InvertDisplacementFieldImageFilter;
  using Superclass = ImageToImageFilter<TInputImage, TOutputImage>;
  using Pointer = SmartPointer<Self>;
  using ConstPointer = SmartPointer<const Self>;
 
  itkNewMacro(Self);
 
  itkOverrideGetNameOfClassMacro(InvertDisplacementFieldImageFilter);
 
  static constexpr unsigned int ImageDimension = TInputImage::ImageDimension;
 
  using InputFieldType = TInputImage;
  using OutputFieldType = TOutputImage;
 
  using DisplacementFieldType = InputFieldType;
  using InverseDisplacementFieldType = OutputFieldType;
 
  using PixelType = typename OutputFieldType::PixelType;
  using VectorType = typename OutputFieldType::PixelType;
  using RegionType = typename OutputFieldType::RegionType;
  using OutputImageRegionType = RegionType;
  using IndexType = typename OutputFieldType::IndexType;
 
  using PointType = typename OutputFieldType::PointType;
  using SpacingType = typename OutputFieldType::SpacingType;
  using OriginType = typename OutputFieldType::PointType;
  using SizeType = typename OutputFieldType::SizeType;
  using DirectionType = typename OutputFieldType::DirectionType;
 
  using RealType = typename VectorType::ComponentType;
  using RealImageType = Image<RealType, ImageDimension>;
  using InterpolatorType = VectorInterpolateImageFunction<InputFieldType, RealType>;
  using DefaultInterpolatorType = VectorLinearInterpolateImageFunction<InputFieldType, RealType>;
 
  itkGetModifiableObjectMacro(Interpolator, InterpolatorType);
 
  void
  SetDisplacementField(const InputFieldType * field)
  {
    itkDebugMacro("setting deformation field to " << field);
    if (field != this->GetInput(0))
    {
      this->SetInput(0, field);
      this->Modified();
      if (!this->m_Interpolator.IsNull())
      {
        this->m_Interpolator->SetInputImage(field);
      }
    }
  }
  const InputFieldType *
  GetDisplacementField() const
  {
    return this->GetInput(0);
  }
 
  itkSetInputMacro(InverseFieldInitialEstimate, InverseDisplacementFieldType);
  itkGetInputMacro(InverseFieldInitialEstimate, InverseDisplacementFieldType);
  /* Set the interpolator. */
  virtual void
  SetInterpolator(InterpolatorType * interpolator);
 
  /* Set/Get the number of iterations */
  itkSetMacro(MaximumNumberOfIterations, unsigned int);
  itkGetConstMacro(MaximumNumberOfIterations, unsigned int);
 
  /* Set/Get the mean stopping criterion */
  itkSetMacro(MeanErrorToleranceThreshold, RealType);
  itkGetConstMacro(MeanErrorToleranceThreshold, RealType);
 
  /* Set/Get the max stopping criterion */
  itkSetMacro(MaxErrorToleranceThreshold, RealType);
  itkGetConstMacro(MaxErrorToleranceThreshold, RealType);
 
  /* Get the max norm */
  itkGetConstMacro(MaxErrorNorm, RealType);
 
  /* Get the mean norm */
  itkGetConstMacro(MeanErrorNorm, RealType);
 
  /* Should we force the boundary to have zero displacement? */
  itkSetMacro(EnforceBoundaryCondition, bool);
  itkGetMacro(EnforceBoundaryCondition, bool);
  itkBooleanMacro(EnforceBoundaryCondition);
 
protected:
  InvertDisplacementFieldImageFilter();
 
  ~InvertDisplacementFieldImageFilter() override = default;
 
  void
  PrintSelf(std::ostream & os, Indent indent) const override;
 
  void
  GenerateData() override;
 
  void
  DynamicThreadedGenerateData(const RegionType &) override;
 
private:
  typename InterpolatorType::Pointer m_Interpolator{};
 
  unsigned int m_MaximumNumberOfIterations{ 20 };
 
  RealType m_MaxErrorToleranceThreshold{};
  RealType m_MeanErrorToleranceThreshold{};
 
  // internal ivars necessary for multithreading basic operations
 
  typename DisplacementFieldType::Pointer m_ComposedField{};
  typename RealImageType::Pointer         m_ScaledNormImage{};
 
  RealType    m_MaxErrorNorm{};
  RealType    m_MeanErrorNorm{};
  RealType    m_Epsilon{};
  SpacingType m_DisplacementFieldSpacing{};
  bool        m_DoThreadedEstimateInverse{ false };
  bool        m_EnforceBoundaryCondition{ true };
  std::mutex  m_Mutex{};
};
 
} // end namespace itk
 
#ifndef ITK_MANUAL_INSTANTIATION
#  include "itkInvertDisplacementFieldImageFilter.hxx"
#endif
 
#endif