/*=========================================================================
 *
 *  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 itkTimeVaryingVelocityFieldImageRegistrationMethodv4_h
#define itkTimeVaryingVelocityFieldImageRegistrationMethodv4_h

#include "itkImageRegistrationMethodv4.h"

#include "itkGaussianSmoothingOnUpdateTimeVaryingVelocityFieldTransform.h"

namespace itk
{

/** \class TimeVaryingVelocityFieldImageRegistrationMethodv4
 * \brief Interface method for the current registration framework
 * using the time varying velocity field transform.
 *
 *
 * Output: The output is the updated transform which has been added to the
 * composite transform.
 *
 * This derived class from the ImageRegistrationMethodv4 class
 * is specialized to handle time-varying velocity field transforms
 * of which there are currently 2:
 *
 * -# TimeVaryingDisplacementFieldTransform
 * -# GaussianSmoothingOnUpdateTimeVaryingDisplacementFieldTransform
 *
 * The latter is derived from the former and performs an optional
 * spatial and temporal smoothing on the update and total velocity
 * fields. Integration of the velocity field is performed using
 * 4th order Runge Kutta and is performed using the class
 * itkTimeVaryingVelocityFieldIntegrationImageFilter.
 *
 * Optimization occurs in an iterative fashion where for each
 * sample time point, t, in the velocity field, we integrate
 * the velocity field in the range [0, t] to yield the
 * displacement field which warps fixed image to time point
 * t. Simultaneously, we integrate the velocity field in
 * the range [t, 1] to yield the displacement field transform
 * which warps the moving image to time point t.  The metric
 * derivative for each time point of the velocity field
 * calculated in this way produces the normalized update field
 * (or gradient) of the velocity field to be added to the total
 * field at each iteration after being multiplied by the
 * learning rate and optionally smoothed.  Mathematically,
 * this can be described as
 *
 * \f[
 * v_{total} = G_1( v_{total} + \lambda * G_2( v_{update} ) )
 * \f]
 * where
 *
 * \f$ G_1 = \f$ gaussian smoothing on the total field
 * \f$ G_2 = \f$ gaussian smoothing on the update field
 * \f$ \lambda = \f$ learning rate
 * \f$ v_{update} = \f$ the normalized velocity field where we
 * normalize the velocity field at each time point
 * separately by the max norm of the field at that time
 * point. This is done due to a weakly necessary
 * (but not sufficient) condition being that the velocity
 * field have a constant norm for all time points.
 *
 * \author Nick Tustison
 * \author Brian Avants
 *
 * \ingroup ITKRegistrationMethodsv4
 */
template <typename TFixedImage,
          typename TMovingImage,
          typename TOutputTransform =
            GaussianSmoothingOnUpdateTimeVaryingVelocityFieldTransform<double, TFixedImage::ImageDimension>,
          typename TVirtualImage = TFixedImage,
          typename TPointSet = PointSet<unsigned int, TFixedImage::ImageDimension>>
class ITK_TEMPLATE_EXPORT TimeVaryingVelocityFieldImageRegistrationMethodv4
  : public ImageRegistrationMethodv4<TFixedImage, TMovingImage, TOutputTransform, TVirtualImage, TPointSet>
{
public:
  ITK_DISALLOW_COPY_AND_MOVE(TimeVaryingVelocityFieldImageRegistrationMethodv4);

  /** Standard class type aliases. */
  using Self = TimeVaryingVelocityFieldImageRegistrationMethodv4;
  using Superclass = ImageRegistrationMethodv4<TFixedImage, TMovingImage, TOutputTransform, TVirtualImage, TPointSet>;
  using Pointer = SmartPointer<Self>;
  using ConstPointer = SmartPointer<const Self>;

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

  /** ImageDimension constants */
  static constexpr unsigned int ImageDimension = TFixedImage::ImageDimension;

  /** \see LightObject::GetNameOfClass() */
  itkOverrideGetNameOfClassMacro(TimeVaryingVelocityFieldImageRegistrationMethodv4);

  /** Input type alias for the images and transforms. */
  using FixedImageType = TFixedImage;
  using FixedImagePointer = typename FixedImageType::Pointer;
  using MovingImageType = TMovingImage;
  using MovingImagePointer = typename MovingImageType::Pointer;

  using RegionType = typename MovingImageType::RegionType;

  /** Metric and transform type alias */
  using typename Superclass::ImageMetricType;
  using ImageMetricPointer = typename ImageMetricType::Pointer;
  using VirtualImageType = typename ImageMetricType::VirtualImageType;
  using MeasureType = typename ImageMetricType::MeasureType;
  using typename Superclass::MultiMetricType;

  using OutputTransformType = TOutputTransform;
  using OutputTransformPointer = typename OutputTransformType::Pointer;
  using RealType = typename OutputTransformType::ScalarType;
  using DerivativeType = typename OutputTransformType::DerivativeType;
  using DerivativeValueType = typename DerivativeType::ValueType;
  using TimeVaryingVelocityFieldType = typename OutputTransformType::TimeVaryingVelocityFieldType;
  using TimeVaryingVelocityFieldPointer = typename TimeVaryingVelocityFieldType::Pointer;
  using DisplacementFieldType = typename OutputTransformType::DisplacementFieldType;
  using DisplacementFieldPointer = typename DisplacementFieldType::Pointer;
  using DisplacementVectorType = typename TimeVaryingVelocityFieldType::PixelType;

  using typename Superclass::CompositeTransformType;

  using typename Superclass::DecoratedOutputTransformType;
  using DecoratedOutputTransformPointer = typename DecoratedOutputTransformType::Pointer;

  using NumberOfIterationsArrayType = Array<SizeValueType>;

  /** Set/Get the learning rate. */
  itkSetMacro(LearningRate, RealType);
  itkGetConstMacro(LearningRate, RealType);

  /** Set/Get the number of iterations per level. */
  itkSetMacro(NumberOfIterationsPerLevel, NumberOfIterationsArrayType);
  itkGetConstMacro(NumberOfIterationsPerLevel, NumberOfIterationsArrayType);

  /** Set/Get the convergence threshold */
  itkSetMacro(ConvergenceThreshold, RealType);
  itkGetConstMacro(ConvergenceThreshold, RealType);

  /** Set/Get the convergence window size */
  itkSetMacro(ConvergenceWindowSize, unsigned int);
  itkGetConstMacro(ConvergenceWindowSize, unsigned int);

protected:
  TimeVaryingVelocityFieldImageRegistrationMethodv4();
  ~TimeVaryingVelocityFieldImageRegistrationMethodv4() override = default;
  void
  PrintSelf(std::ostream & os, Indent indent) const override;

  /** Perform the registration. */
  void
  GenerateData() override;

  /** Multithreaded function which calculates the norm of the velocity field. */
  void
  ThreadedGenerateData(const RegionType &, ThreadIdType);

  /** Start the optimization at each level.
   *
   * Performs a basic gradient descent operation.
   */
  virtual void
  StartOptimization();

private:
  RealType m_LearningRate{};

  RealType     m_ConvergenceThreshold{};
  unsigned int m_ConvergenceWindowSize{ 10 };

  NumberOfIterationsArrayType m_NumberOfIterationsPerLevel{};
};
} // end namespace itk

#ifndef ITK_MANUAL_INSTANTIATION
#  include "itkTimeVaryingVelocityFieldImageRegistrationMethodv4.hxx"
#endif

#endif