libinsighttoolkit4-dev 4.9.0-4ubuntu1 / usr / include / ITK-4.9 / itkFEMImageMetricLoad.h

/*=========================================================================
 *
 *  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 itkFEMImageMetricLoad_h
#define itkFEMImageMetricLoad_h

#include "itkFEMLoadElementBase.h"

#include "itkImage.h"
#include "itkTranslationTransform.h"

#include "itkImageRegionIteratorWithIndex.h"
#include "itkNeighborhoodIterator.h"
#include "itkNeighborhoodIterator.h"
#include "itkNeighborhoodInnerProduct.h"
#include "itkDerivativeOperator.h"
#include "itkForwardDifferenceOperator.h"
#include "itkLinearInterpolateImageFunction.h"
#include "vnl/vnl_math.h"

#include <itkMutualInformationImageToImageMetric.h>
#include <itkMattesMutualInformationImageToImageMetric.h>
#include <itkMeanSquaresImageToImageMetric.h>
#include <itkNormalizedCorrelationImageToImageMetric.h>

namespace itk
{
namespace fem
{
/**
 * \class ImageMetricLoad
 * \brief General image pair load that uses the itkImageToImageMetrics.
 *
 * LoadImageMetric computes FEM gravity loads by using derivatives provided
 * by itkImageToImageMetrics (e.g. mean squares intensity difference.)
 * The function responsible for this is called Fg, as required by the FEMLoad
 * standards.  It takes a vnl_vector as input.
 * We assume the vector input is of size 2*ImageDimension.
 * The 0 to ImageDimension-1 elements contain the position, p,
 * in the reference (moving) image.  The next ImageDimension to 2*ImageDimension-1
 * elements contain the value of the vector field at that point, v(p).
 *
 * Then, we evaluate the derivative at the point p+v(p) with respect to
 * some region of the target (fixed) image by calling the metric with
 * the translation parameters as provided by the vector field at p.
 * The metrics return both a scalar similarity value and vector-valued derivative.
 * The derivative is what gives us the force to drive the FEM registration.
 * These values are computed with respect to some region in the Fixed image.
 * This region size may be set by the user by calling SetMetricRadius.
 * As the metric derivative computation evolves, performance should improve
 * and more functionality will be available (such as scale selection).
 * \ingroup ITKFEM
 */
template <typename TMoving, typename TFixed>
class ImageMetricLoad : public LoadElement
{
public:
  /** Standard class typedefs. */
  typedef ImageMetricLoad          Self;
  typedef LoadElement              Superclass;
  typedef SmartPointer<Self>       Pointer;
  typedef SmartPointer<const Self> ConstPointer;

  /** Method for creation through the object factory. */
  itkSimpleNewMacro(Self);

  /** Run-time type information (and related methods). */
  itkTypeMacro(ImageMetricLoad, LoadElement);

  /** CreateAnother method will clone the existing instance of this type,
   * including its internal member variables. */
  virtual::itk::LightObject::Pointer CreateAnother(void) const ITK_OVERRIDE;

  // Necessary typedefs for dealing with images BEGIN
  typedef typename LoadElement::Float Float;

  typedef TMoving                           MovingType;
  typedef typename MovingType::ConstPointer MovingConstPointer;
  typedef MovingType *                      MovingPointer;
  typedef TFixed                            FixedType;
  typedef FixedType *                       FixedPointer;
  typedef typename FixedType::ConstPointer  FixedConstPointer;

  /** Dimensionality of input and output data is assumed to be the same. */
  itkStaticConstMacro(ImageDimension, unsigned int,
                      MovingType::ImageDimension);

  typedef ImageRegionIteratorWithIndex<MovingType> RefRegionIteratorType;
  typedef ImageRegionIteratorWithIndex<FixedType>  TarRegionIteratorType;

  typedef NeighborhoodIterator<MovingType>
  MovingNeighborhoodIteratorType;
  typedef typename MovingNeighborhoodIteratorType::IndexType
  MovingNeighborhoodIndexType;
  typedef typename MovingNeighborhoodIteratorType::RadiusType
  MovingRadiusType;
  typedef NeighborhoodIterator<FixedType>
  FixedNeighborhoodIteratorType;
  typedef typename FixedNeighborhoodIteratorType::IndexType
  FixedNeighborhoodIndexType;
  typedef typename FixedNeighborhoodIteratorType::RadiusType
  FixedRadiusType;

// IMAGE DATA
  typedef   typename  MovingType::PixelType                             RefPixelType;
  typedef   typename  FixedType::PixelType                              TarPixelType;
  typedef   Float                                                       PixelType;
  typedef   Float                                                       ComputationType;
  typedef   Image<RefPixelType, itkGetStaticConstMacro(ImageDimension)> RefImageType;
  typedef   Image<TarPixelType, itkGetStaticConstMacro(ImageDimension)> TarImageType;
  typedef   Image<PixelType, itkGetStaticConstMacro(ImageDimension)>    ImageType;
  typedef   vnl_vector<Float>                                           VectorType;

// Necessary typedefs for dealing with images END

// ------------------------------------------------------------
// Set up the metrics
// ------------------------------------------------------------
  typedef double
  CoordinateRepresentationType;
  typedef Transform<CoordinateRepresentationType, itkGetStaticConstMacro(ImageDimension),
                    itkGetStaticConstMacro(ImageDimension)>            TransformBaseType;
  typedef TranslationTransform<CoordinateRepresentationType,
                               itkGetStaticConstMacro(ImageDimension)> DefaultTransformType;

  /**  Type of supported metrics. */
  typedef   ImageToImageMetric<FixedType, MovingType> MetricBaseType;
  typedef typename MetricBaseType::Pointer            MetricBaseTypePointer;

  typedef   MutualInformationImageToImageMetric<MovingType, FixedType> MutualInformationMetricType;

  typedef   MeanSquaresImageToImageMetric<MovingType, FixedType> MeanSquaresMetricType;

  typedef   NormalizedCorrelationImageToImageMetric<MovingType, FixedType> NormalizedCorrelationMetricType;

  typedef  MeanSquaresMetricType                        DefaultMetricType;
  typedef typename DefaultTransformType::ParametersType ParametersType;
  typedef typename DefaultTransformType::JacobianType   JacobianType;

  typedef unsigned long                                        ElementIdentifier;
  typedef VectorContainer<ElementIdentifier, Element::Pointer> ElementContainerType;
// ------------------------------------------------------------
// Set up an Interpolator
// ------------------------------------------------------------
  typedef LinearInterpolateImageFunction<MovingType, double> InterpolatorType;

  /** Gradient filtering */
  typedef float RealType;
  typedef CovariantVector<RealType,
                          itkGetStaticConstMacro(ImageDimension)> GradientPixelType;
  typedef Image<GradientPixelType,
                itkGetStaticConstMacro(ImageDimension)> GradientImageType;
  typedef SmartPointer<GradientImageType> GradientImagePointer;
  typedef GradientRecursiveGaussianImageFilter<ImageType,
                                               GradientImageType>
  GradientImageFilterType;
  //  typedef typename GradientImageFilterType::Pointer
  // GradientImageFilterPointer;

// FUNCTIONS

  /** Set/Get the Metric.  */
  void SetMetric(MetricBaseTypePointer MP)
  {
    m_Metric = MP;
  }

  /** Define the reference (moving) image. */
  void SetMovingImage(MovingType *R)
  {
    m_RefImage = R;
    m_RefSize = m_RefImage->GetLargestPossibleRegion().GetSize();
  }

  void SetMetricMovingImage(MovingType *R)
  {
    m_Metric->SetMovingImage(R);
    m_RefSize = R->GetLargestPossibleRegion().GetSize();
  }

  /** Define the target (fixed) image. */
  void SetFixedImage(FixedType *T)
  {
    m_TarImage = T;
    m_TarSize = T->GetLargestPossibleRegion().GetSize();
  }

  void SetMetricFixedImage(FixedType *T)
  {
    m_Metric->SetFixedImage(T);
    m_TarSize = T->GetLargestPossibleRegion().GetSize();
  }

  MovingPointer GetMovingImage()
  {
    return m_RefImage;
  }
  FixedPointer GetFixedImage()
  {
    return m_TarImage;
  }

  /** Define the metric region size. */
  void SetMetricRadius(MovingRadiusType T)
  {
    m_MetricRadius  = T;
  }
  /** Get the metric region size. */
  MovingRadiusType GetMetricRadius()
  {
    return m_MetricRadius;
  }

  /** Set/Get methods for the number of integration points to use
   * in each 1-dimensional line integral when evaluating the load.
   * This value is passed to the load implementation.
   */
  void SetNumberOfIntegrationPoints(unsigned int i)
  {
    m_NumberOfIntegrationPoints = i;
  }
  unsigned int GetNumberOfIntegrationPoints()
  {
    return m_NumberOfIntegrationPoints;
  }

  /** Set the direction of the gradient (uphill or downhill).
    * E.g. the mean squares metric should be minimized while NCC and PR should be maximized.
    */
  void SetSign(Float s)
  {
    m_Sign = s;
  }

  /** Set the sigma in a gaussian measure. */
  void SetTemp(Float s)
  {
    m_Temp = s;
  }

  /** Scaling of the similarity energy term */
  void SetGamma(Float s)
  {
    m_Gamma = s;
  }

  /** Set the pointer to the solution vector.
   * \param ptr Pointer to the object of Solution class.
   */
  virtual void SetSolution(Solution::ConstPointer ptr) ITK_OVERRIDE
  {
    m_Solution = ptr;
  }
  /** Get the pointer to the solution vector.
   * \return Pointer to the object of Solution class.
   */
  virtual Solution::ConstPointer GetSolution() ITK_OVERRIDE
  {
    return m_Solution;
  }

  /**
   *  This method returns the total metric evaluated over the image with respect to the current solution.
   */
  Float GetMetric(VectorType InVec);

  VectorType GetPolynomialFitToMetric(VectorType PositionInElement, VectorType SolutionAtPosition);

  VectorType MetricFiniteDiff(VectorType PositionInElement, VectorType SolutionAtPosition);

  // FIXME - WE ASSUME THE 2ND VECTOR (INDEX 1) HAS THE INFORMATION WE WANT
  Float GetSolution(unsigned int i, unsigned int which = 0)
  {
    return m_Solution->GetSolutionValue(i, which);
  }

// define the copy constructor
//  ImageMetricLoad(const ImageMetricLoad& LMS);

  void InitializeMetric();

  ImageMetricLoad(); // cannot be private until we always use smart pointers
  Float EvaluateMetricGivenSolution(Element::ArrayType *el, Float step = 1.0);

  Float EvaluateMetricGivenSolution1(Element::ArrayType *el, Float step = 1.0);

  /**
   * Compute the image based load - implemented with ITK metric derivatives.
   */
  VectorType Fe(VectorType, VectorType);

  static Baseclass * NewImageMetricLoad(void)
  {
    return new ImageMetricLoad;
  }

  /** Set/Get the metric gradient image */
  // void InitializeGradientImage();
  void SetMetricGradientImage(GradientImageType *g)
  {
    m_MetricGradientImage = g;
  }
  GradientImageType * GetMetricGradientImage()
  {
    return m_MetricGradientImage;
  }

  void PrintCurrentEnergy()
  {
    std::cout << " energy " << m_Energy << std::endl;
  }
  double GetCurrentEnergy()
  {
    return m_Energy;
  }
  void  SetCurrentEnergy(double e)
  {
    m_Energy = e;
  }

  // FIXME - Documentation
  virtual void ApplyLoad(Element::ConstPointer element, Element::VectorType & Fe) ITK_OVERRIDE;

protected:
  virtual void PrintSelf(std::ostream& os, Indent indent) const ITK_OVERRIDE;

private:
  GradientImageType *m_MetricGradientImage;
  MovingPointer      m_RefImage;
  FixedPointer       m_TarImage;
  MovingRadiusType   m_MetricRadius;            /** used by the metric to set
                                                  region size for fixed image*/
  typename MovingType::SizeType m_RefSize;
  typename FixedType::SizeType  m_TarSize;
  unsigned int                  m_NumberOfIntegrationPoints;
  unsigned int                  m_SolutionIndex;
  unsigned int                  m_SolutionIndex2;
  Float                         m_Sign;
  Float                         m_Temp;
  Float                         m_Gamma;

  typename Solution::ConstPointer     m_Solution;
  MetricBaseTypePointer               m_Metric;
  typename TransformBaseType::Pointer m_Transform;
  typename InterpolatorType::Pointer  m_Interpolator;

  mutable double m_Energy;

private:

};
}
}  // end namespace fem/itk

#ifndef ITK_MANUAL_INSTANTIATION
#include "itkFEMImageMetricLoad.hxx"
#endif

#endif