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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.
*
*=========================================================================*/
#include "itkImageRegistrationMethod.h"
#include "itkTranslationTransform.h"
#include "itkMeanReciprocalSquareDifferenceImageToImageMetric.h"
#include "itkLinearInterpolateImageFunction.h"
#include "itkGradientDescentOptimizer.h"
#include "itkTestingMacros.h"
/**
* This program test one instantiation of the itk::ImageRegistrationMethod class
*
* Only types are tested in this file.
*/
int
itkImageRegistrationMethodTest_11(int, char *[])
{
constexpr unsigned int dimension = 3;
// Fixed Image Type
using FixedImageType = itk::Image<float, dimension>;
// Moving Image Type
using MovingImageType = itk::Image<char, dimension>;
// Transform Type
using TransformType = itk::TranslationTransform<double, dimension>;
// Optimizer Type
using OptimizerType = itk::GradientDescentOptimizer;
// Metric Type
using MetricType = itk::MeanReciprocalSquareDifferenceImageToImageMetric<FixedImageType, MovingImageType>;
// Interpolation technique
using InterpolatorType = itk::LinearInterpolateImageFunction<MovingImageType, double>;
// Registration Method
using RegistrationType = itk::ImageRegistrationMethod<FixedImageType, MovingImageType>;
auto metric = MetricType::New();
auto transform = TransformType::New();
auto optimizer = OptimizerType::New();
auto fixedImage = FixedImageType::New();
auto movingImage = MovingImageType::New();
auto interpolator = InterpolatorType::New();
auto registration = RegistrationType::New();
registration->SetMetric(metric);
registration->SetOptimizer(optimizer);
registration->SetTransform(transform);
registration->SetFixedImage(fixedImage);
registration->SetMovingImage(movingImage);
registration->SetInterpolator(interpolator);
//
// Now verify that all the sets are consistent with the Gets
//
ITK_TEST_SET_GET_VALUE(metric, registration->GetMetric());
ITK_TEST_SET_GET_VALUE(optimizer, registration->GetOptimizer());
ITK_TEST_SET_GET_VALUE(transform, registration->GetTransform());
ITK_TEST_SET_GET_VALUE(fixedImage, registration->GetFixedImage());
ITK_TEST_SET_GET_VALUE(movingImage, registration->GetMovingImage());
ITK_TEST_SET_GET_VALUE(interpolator, registration->GetInterpolator());
//
// Now verify that they can be changed
//
auto metric2 = MetricType::New();
auto transform2 = TransformType::New();
auto optimizer2 = OptimizerType::New();
auto fixedImage2 = FixedImageType::New();
auto movingImage2 = MovingImageType::New();
auto interpolator2 = InterpolatorType::New();
registration->SetMetric(metric2);
registration->SetOptimizer(optimizer2);
registration->SetTransform(transform2);
registration->SetFixedImage(fixedImage2);
registration->SetMovingImage(movingImage2);
registration->SetInterpolator(interpolator2);
//
// Now verify that all the sets are consistent with the Gets
//
ITK_TEST_SET_GET_VALUE(metric2, registration->GetMetric());
ITK_TEST_SET_GET_VALUE(optimizer2, registration->GetOptimizer());
ITK_TEST_SET_GET_VALUE(transform2, registration->GetTransform());
ITK_TEST_SET_GET_VALUE(fixedImage2, registration->GetFixedImage());
ITK_TEST_SET_GET_VALUE(movingImage2, registration->GetMovingImage());
ITK_TEST_SET_GET_VALUE(interpolator2, registration->GetInterpolator());
//
// Now verify that they can be set to nullptr
//
MetricType::Pointer metric3 = nullptr;
TransformType::Pointer transform3 = nullptr;
OptimizerType::Pointer optimizer3 = nullptr;
FixedImageType::Pointer fixedImage3 = nullptr;
MovingImageType::Pointer movingImage3 = nullptr;
InterpolatorType::Pointer interpolator3 = nullptr;
registration->SetMetric(metric3);
registration->SetOptimizer(optimizer3);
registration->SetTransform(transform3);
registration->SetFixedImage(fixedImage3);
registration->SetMovingImage(movingImage3);
registration->SetInterpolator(interpolator3);
//
// Now verify that all the sets are consistent with the Gets
//
ITK_TEST_SET_GET_VALUE(metric3, registration->GetMetric());
ITK_TEST_SET_GET_VALUE(optimizer3, registration->GetOptimizer());
ITK_TEST_SET_GET_VALUE(transform3, registration->GetTransform());
ITK_TEST_SET_GET_VALUE(fixedImage3, registration->GetFixedImage());
ITK_TEST_SET_GET_VALUE(movingImage3, registration->GetMovingImage());
ITK_TEST_SET_GET_VALUE(interpolator3, registration->GetInterpolator());
std::cout << "Test passed." << std::endl;
return EXIT_SUCCESS;
}
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