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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 itkOptImageToImageMetricsTest2_h
#define itkOptImageToImageMetricsTest2_h
#include "itkTimeProbe.h"
#include "itkMersenneTwisterRandomVariateGenerator.h"
#include "itkImageToImageMetric.h"
#include "itkBSplineTransform.h"
namespace itk
{
template <typename FixedImageType,
typename MovingImageType,
typename InterpolatorType,
typename TransformType,
typename MetricType,
typename MetricInitializerType>
class OptImageToImageMetricsTest
{
public:
OptImageToImageMetricsTest() = default;
void
RunTest(FixedImageType * fixed,
MovingImageType * moving,
InterpolatorType * interpolator,
TransformType * transform,
MetricType * metric,
MetricInitializerType metricInitializer)
{
std::cout << "-------------------------------------------------------------------" << std::endl;
std::cout << "Testing" << std::endl;
std::cout << "\tMetric : " << metric->GetNameOfClass() << std::endl;
std::cout << "\tInterpolator : " << interpolator->GetNameOfClass() << std::endl;
std::cout << "\tTransform : " << transform->GetNameOfClass() << std::endl;
std::cout << "-------------------------------------------------------------------" << std::endl;
std::cout << std::endl;
// int result = EXIT_SUCCESS;
// connect the interpolator
metric->SetInterpolator(interpolator);
// connect the transform
metric->SetTransform(transform);
// connect the images to the metric
metric->SetFixedImage(fixed);
metric->SetMovingImage(moving);
metric->GetThreader()->SetGlobalDefaultNumberOfThreads(4);
metric->GetThreader()->SetGlobalMaximumNumberOfThreads(4);
// call custom initialization for the metric
metricInitializer.Initialize();
// Always use the same seed value.
// All instances are the same since MersenneTwisterRandomVariateGenerator
// uses a singleton pattern.
itk::Statistics::MersenneTwisterRandomVariateGenerator::GetInstance()->SetSeed(42);
// initialize the metric
// Samples are drawn here in metric->Initialize(),
// so we seed the random number generator
// immediately before this call.
metric->Initialize();
}
// Other registration functionality tested in
// OptImageToImageTest.cxx... skip the rest
};
template <typename FixedImageType, typename MovingImageType>
class MeanSquaresMetricInitializer
{
public:
using MetricType = itk::MeanSquaresImageToImageMetric<FixedImageType, MovingImageType>;
MeanSquaresMetricInitializer(MetricType * metric) { m_Metric = metric; }
void
Initialize()
{
// Do stuff on m_Metric
m_Metric->UseAllPixelsOn();
}
protected:
MetricType * m_Metric;
};
template <typename InterpolatorType,
typename TransformType,
typename FixedImageReaderType,
typename MovingImageReaderType>
void
BasicTest(FixedImageReaderType * fixedImageReader,
MovingImageReaderType * movingImageReader,
InterpolatorType * interpolator,
TransformType * transform)
{
using FixedImageType = typename FixedImageReaderType::OutputImageType;
using MovingImageType = typename MovingImageReaderType::OutputImageType;
fixedImageReader->Update();
movingImageReader->Update();
typename FixedImageType::Pointer fixed = fixedImageReader->GetOutput();
typename MovingImageType::Pointer moving = movingImageReader->GetOutput();
// Mean squares
using MetricType = itk::MeanSquaresImageToImageMetric<FixedImageType, MovingImageType>;
auto msMetric = MetricType::New();
MeanSquaresMetricInitializer<FixedImageType, MovingImageType> msMetricInitializer(msMetric);
TestAMetric(fixedImageReader, movingImageReader, interpolator, transform, msMetric.GetPointer(), msMetricInitializer);
}
template <typename FixedImageReaderType,
typename MovingImageReaderType,
typename InterpolatorType,
typename TransformType,
typename MetricType,
typename MetricInitializerType>
void
TestAMetric(FixedImageReaderType * fixedImageReader,
MovingImageReaderType * movingImageReader,
InterpolatorType * interpolator,
TransformType * transform,
MetricType * metric,
MetricInitializerType metricInitializer)
{
using FixedImageType = typename FixedImageReaderType::OutputImageType;
using MovingImageType = typename MovingImageReaderType::OutputImageType;
metric->SetFixedImageRegion(fixedImageReader->GetOutput()->GetBufferedRegion());
OptImageToImageMetricsTest<FixedImageType,
MovingImageType,
InterpolatorType,
TransformType,
MetricType,
MetricInitializerType>
testMetric;
testMetric.RunTest(
fixedImageReader->GetOutput(), movingImageReader->GetOutput(), interpolator, transform, metric, metricInitializer);
}
template <typename FixedImageReaderType, typename MovingImageReaderType>
void
BSplineLinearTest(FixedImageReaderType * fixedImageReader, MovingImageReaderType * movingImageReader)
{
using MovingImageType = typename MovingImageReaderType::OutputImageType;
using InterpolatorType = itk::LinearInterpolateImageFunction<MovingImageType, double>;
using FixedImageType = typename FixedImageReaderType::OutputImageType;
using MovingImageType = typename MovingImageReaderType::OutputImageType;
fixedImageReader->Update();
movingImageReader->Update();
typename FixedImageType::Pointer fixedImage = fixedImageReader->GetOutput();
typename MovingImageType::Pointer movingImage = movingImageReader->GetOutput();
typename FixedImageType::SpacingType fixedSpacing = fixedImage->GetSpacing();
typename FixedImageType::PointType fixedOrigin = fixedImage->GetOrigin();
typename FixedImageType::DirectionType fixedDirection = fixedImage->GetDirection();
typename FixedImageType::RegionType fixedRegion = fixedImage->GetBufferedRegion();
typename FixedImageType::SizeType fixedSize = fixedRegion.GetSize();
constexpr unsigned int SpaceDimension = 2;
constexpr unsigned int VSplineOrder = 3;
using CoordinateRepType = double;
using TransformType = itk::BSplineTransform<CoordinateRepType, SpaceDimension, VSplineOrder>;
auto bsplineTransform = TransformType::New();
typename TransformType::MeshSizeType meshSize;
typename TransformType::PhysicalDimensionsType physicalDimensions;
for (unsigned int d = 0; d < SpaceDimension; ++d)
{
physicalDimensions[d] = fixedSpacing[d] * static_cast<CoordinateRepType>(fixedSize[d] - 1);
meshSize[d] = 4;
}
bsplineTransform->SetTransformDomainOrigin(fixedOrigin);
bsplineTransform->SetTransformDomainDirection(fixedDirection);
bsplineTransform->SetTransformDomainPhysicalDimensions(physicalDimensions);
bsplineTransform->SetTransformDomainMeshSize(meshSize);
using ParametersType = typename TransformType::ParametersType;
const unsigned int numberOfParameters = bsplineTransform->GetNumberOfParameters();
ParametersType parameters(numberOfParameters);
auto interpolator = InterpolatorType::New();
BasicTest(fixedImageReader, movingImageReader, interpolator.GetPointer(), bsplineTransform.GetPointer());
}
} // end namespace itk
#endif
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