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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 itkRegistrationParameterScalesFromIndexShift_hxx
#define itkRegistrationParameterScalesFromIndexShift_hxx
namespace itk
{
template <typename TMetric>
void
RegistrationParameterScalesFromIndexShift<TMetric>::ComputeSampleShifts(const ParametersType & deltaParameters,
ScalesType & sampleShifts)
{
if (this->GetTransformForward())
{
this->ComputeSampleShiftsInternal<MovingTransformType>(deltaParameters, sampleShifts);
}
else
{
this->ComputeSampleShiftsInternal<FixedTransformType>(deltaParameters, sampleShifts);
}
}
template <typename TMetric>
template <typename TTransform>
void
RegistrationParameterScalesFromIndexShift<TMetric>::ComputeSampleShiftsInternal(const ParametersType & deltaParameters,
ScalesType & sampleShifts)
{
using TransformOutputType = itk::ContinuousIndex<FloatType, TTransform::OutputSpaceDimension>;
// We save the old parameters and apply the delta parameters to calculate the
// voxel shift. After it is done, we will reset to the old parameters.
auto * transform = const_cast<TransformBaseTemplate<typename TMetric::MeasureType> *>(this->GetTransform());
const ParametersType oldParameters = transform->GetParameters();
const auto numSamples = static_cast<const SizeValueType>(this->m_SamplePoints.size());
VirtualPointType point;
TransformOutputType newMappedVoxel;
// Store the old mapped indices to reduce calls to Transform::SetParameters()
std::vector<TransformOutputType> oldMappedVoxels(numSamples);
sampleShifts.SetSize(numSamples);
// Compute the indices mapped by the old transform
for (SizeValueType c = 0; c < numSamples; ++c)
{
point = this->m_SamplePoints[c];
this->template TransformPointToContinuousIndex<TransformOutputType>(point, oldMappedVoxels[c]);
}
// Apply the delta parameters to the transform
this->UpdateTransformParameters(deltaParameters);
// compute the indices mapped by the new transform
for (SizeValueType c = 0; c < numSamples; ++c)
{
point = this->m_SamplePoints[c];
this->template TransformPointToContinuousIndex<TransformOutputType>(point, newMappedVoxel);
// find max shift by checking each sample point
sampleShifts[c] = newMappedVoxel.EuclideanDistanceTo(oldMappedVoxels[c]);
}
// restore the parameters in the transform
transform->SetParameters(oldParameters);
}
/** Transform a physical point to its continuous index */
template <typename TMetric>
template <typename TContinuousIndexType>
void
RegistrationParameterScalesFromIndexShift<TMetric>::TransformPointToContinuousIndex(const VirtualPointType & point,
TContinuousIndexType & mappedIndex)
{
using ContinuousIndexValueType = typename TContinuousIndexType::ValueType;
if (this->GetTransformForward())
{
MovingPointType mappedPoint;
mappedPoint = this->m_Metric->GetMovingTransform()->TransformPoint(point);
mappedIndex =
this->m_Metric->GetMovingImage()->template TransformPhysicalPointToContinuousIndex<ContinuousIndexValueType>(
mappedPoint);
}
else
{
FixedPointType mappedPoint;
mappedPoint = this->m_Metric->GetFixedTransform()->TransformPoint(point);
mappedIndex =
this->m_Metric->GetFixedImage()->template TransformPhysicalPointToContinuousIndex<ContinuousIndexValueType>(
mappedPoint);
}
}
/** Print the information about this class */
template <typename TMetric>
void
RegistrationParameterScalesFromIndexShift<TMetric>::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
}
} // namespace itk
#endif
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