Examples/RegistrationITKv4/DeformableRegistration9.cxx

/*=========================================================================
 *
 *  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.
 *
 *=========================================================================*/
 
#include "itkConfigure.h"
 
 
#ifndef ITK_USE_FFTWD
#  error "This program needs single precision FFTWD to work."
#endif
 
 
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
 
#include "itkCurvatureRegistrationFilter.h"
#include "itkFastSymmetricForcesDemonsRegistrationFunction.h"
 
#include "itkHistogramMatchingImageFilter.h"
#include "itkCastImageFilter.h"
#include "itkLinearInterpolateImageFunction.h"
#include "itkDisplacementFieldTransform.h"
#include "itkResampleImageFilter.h"
 
constexpr unsigned int Dimension = 2;
 
//  The following section of code implements a Command observer
//  that will monitor the evolution of the registration process.
//
class CommandIterationUpdate : public itk::Command
{
public:
  using Self = CommandIterationUpdate;
  using Superclass = itk::Command;
  using Pointer = itk::SmartPointer<CommandIterationUpdate>;
  itkNewMacro(CommandIterationUpdate);
 
protected:
  CommandIterationUpdate() = default;
 
  using InternalImageType = itk::Image<float, Dimension>;
  using VectorPixelType = itk::Vector<float, Dimension>;
  using DisplacementFieldType = itk::Image<VectorPixelType, Dimension>;
 
  using RegistrationFilterType = itk::CurvatureRegistrationFilter<
    InternalImageType,
    InternalImageType,
    DisplacementFieldType,
    itk::FastSymmetricForcesDemonsRegistrationFunction<
      InternalImageType,
      InternalImageType,
      DisplacementFieldType>>;
 
public:
  void
  Execute(itk::Object * caller, const itk::EventObject & event) override
  {
    Execute((const itk::Object *)caller, event);
  }
 
  void
  Execute(const itk::Object * object, const itk::EventObject & event) override
  {
    const auto * filter = static_cast<const RegistrationFilterType *>(object);
    if (!(itk::IterationEvent().CheckEvent(&event)))
    {
      return;
    }
    std::cout << filter->GetMetric() << std::endl;
  }
};
 
 
int
main(int argc, char * argv[])
{
  if (argc < 4)
  {
    std::cerr << "Missing Parameters " << std::endl;
    std::cerr << "Usage: " << argv[0];
    std::cerr << " fixedImageFile movingImageFile ";
    std::cerr << " outputImageFile " << std::endl;
    return EXIT_FAILURE;
  }
 
  using PixelType = short;
 
  using FixedImageType = itk::Image<PixelType, Dimension>;
  using MovingImageType = itk::Image<PixelType, Dimension>;
 
  using FixedImageReaderType = itk::ImageFileReader<FixedImageType>;
  using MovingImageReaderType = itk::ImageFileReader<MovingImageType>;
 
  auto fixedImageReader = FixedImageReaderType::New();
  auto movingImageReader = MovingImageReaderType::New();
 
  fixedImageReader->SetFileName(argv[1]);
  movingImageReader->SetFileName(argv[2]);
 
  using InternalPixelType = float;
  using InternalImageType = itk::Image<InternalPixelType, Dimension>;
  using FixedImageCasterType =
    itk::CastImageFilter<FixedImageType, InternalImageType>;
  using MovingImageCasterType =
    itk::CastImageFilter<MovingImageType, InternalImageType>;
 
  auto fixedImageCaster = FixedImageCasterType::New();
  auto movingImageCaster = MovingImageCasterType::New();
 
  fixedImageCaster->SetInput(fixedImageReader->GetOutput());
  movingImageCaster->SetInput(movingImageReader->GetOutput());
 
  using MatchingFilterType =
    itk::HistogramMatchingImageFilter<InternalImageType, InternalImageType>;
  auto matcher = MatchingFilterType::New();
 
  matcher->SetInput(movingImageCaster->GetOutput());
  matcher->SetReferenceImage(fixedImageCaster->GetOutput());
  matcher->SetNumberOfHistogramLevels(1024);
  matcher->SetNumberOfMatchPoints(7);
  matcher->ThresholdAtMeanIntensityOn();
 
  using VectorPixelType = itk::Vector<float, Dimension>;
  using DisplacementFieldType = itk::Image<VectorPixelType, Dimension>;
  using RegistrationFilterType = itk::CurvatureRegistrationFilter<
    InternalImageType,
    InternalImageType,
    DisplacementFieldType,
    itk::FastSymmetricForcesDemonsRegistrationFunction<
      InternalImageType,
      InternalImageType,
      DisplacementFieldType>>;
 
  auto filter = RegistrationFilterType::New();
 
  auto observer = CommandIterationUpdate::New();
  filter->AddObserver(itk::IterationEvent(), observer);
 
  filter->SetFixedImage(fixedImageCaster->GetOutput());
  filter->SetMovingImage(matcher->GetOutput());
  filter->SetNumberOfIterations(150);
  filter->SetTimeStep(1);
  filter->SetConstraintWeight(1);
  filter->Update();
 
  using InterpolatorPrecisionType = double;
  using TransformPrecisionType = float;
  using WarperType = itk::ResampleImageFilter<MovingImageType,
                                              MovingImageType,
                                              InterpolatorPrecisionType,
                                              TransformPrecisionType>;
  using InterpolatorType =
    itk::LinearInterpolateImageFunction<MovingImageType,
                                        InterpolatorPrecisionType>;
  auto                    warper = WarperType::New();
  auto                    interpolator = InterpolatorType::New();
  FixedImageType::Pointer fixedImage = fixedImageReader->GetOutput();
 
  warper->SetInput(movingImageReader->GetOutput());
  warper->SetInterpolator(interpolator);
  warper->UseReferenceImageOn();
  warper->SetReferenceImage(fixedImage);
 
  using DisplacementFieldTransformType =
    itk::DisplacementFieldTransform<TransformPrecisionType, Dimension>;
  auto displacementTransform = DisplacementFieldTransformType::New();
  displacementTransform->SetDisplacementField(filter->GetOutput());
  warper->SetTransform(displacementTransform);
 
 
  // Write warped image out to file
  using OutputPixelType = unsigned short;
  using OutputImageType = itk::Image<OutputPixelType, Dimension>;
  using CastFilterType =
    itk::CastImageFilter<MovingImageType, OutputImageType>;
  using WriterType = itk::ImageFileWriter<OutputImageType>;
 
  auto writer = WriterType::New();
  auto caster = CastFilterType::New();
 
  writer->SetFileName(argv[3]);
 
  caster->SetInput(warper->GetOutput());
  writer->SetInput(caster->GetOutput());
  writer->Update();
 
  if (argc > 4) // if a fourth line argument has been provided...
  {
 
    using FieldWriterType = itk::ImageFileWriter<DisplacementFieldType>;
 
    auto fieldWriter = FieldWriterType::New();
    fieldWriter->SetFileName(argv[4]);
    fieldWriter->SetInput(filter->GetOutput());
 
    try
    {
      fieldWriter->Update();
    }
    catch (const itk::ExceptionObject & e)
    {
      e.Print(std::cerr);
    }
  }
 
  return EXIT_SUCCESS;
}