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/*=========================================================================
*
* Copyright UMC Utrecht and contributors
*
* 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
*
* http://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 "itkAdvancedBSplineDeformableTransform.h"
#include "itkImageRegionIterator.h"
// Report timings
#include "itkTimeProbe.h"
#include <fstream>
#include <iomanip>
//-------------------------------------------------------------------------------------
// Create a class that inherits from the B-spline transform,
// and adds the previous un-optimized TransformPoint function.
namespace itk
{
template <class TScalarType = double, unsigned int NDimensions = 3, unsigned int VSplineOrder = 3>
class BSplineTransform_TEST : public AdvancedBSplineDeformableTransform<TScalarType, NDimensions, VSplineOrder>
{
public:
/** Standard class typedefs. */
using Self = BSplineTransform_TEST;
using Superclass = AdvancedBSplineDeformableTransform<TScalarType, NDimensions, VSplineOrder>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** Some stuff that is needed to get this class functional. */
itkNewMacro(Self);
itkTypeMacro(BSplineTransform_TEST, AdvancedBSplineDeformableTransform);
itkStaticConstMacro(SpaceDimension, unsigned int, NDimensions);
using typename Superclass::InputPointType;
using typename Superclass::OutputPointType;
using typename Superclass::IndexType;
using typename Superclass::ContinuousIndexType;
using typename Superclass::WeightsFunctionType;
using typename Superclass::WeightsType;
using typename Superclass::ParameterIndexArrayType;
using typename Superclass::ImageType;
using typename Superclass::RegionType;
using typename Superclass::PixelType;
using typename Superclass::ScalarType;
/** Transform points by a B-spline deformable transformation. */
OutputPointType
TransformPoint_OLD(const InputPointType & point) const
{
const unsigned long numberOfWeights = WeightsFunctionType::NumberOfWeights;
typename ParameterIndexArrayType::ValueType indicesArray[numberOfWeights];
WeightsType weights;
ParameterIndexArrayType indices(indicesArray, numberOfWeights, false);
OutputPointType outputPoint;
bool inside;
this->TransformPoint_OLD(point, outputPoint, weights, indices, inside);
return outputPoint;
} // end TransformPoint_OLD()
void
TransformPoint_OLD(const InputPointType & inputPoint,
OutputPointType & outputPoint,
WeightsType & weights,
ParameterIndexArrayType & indices,
bool & inside) const
{
inside = true;
InputPointType transformedPoint = inputPoint;
/** Check if the coefficient image has been set. */
if (!this->m_CoefficientImages[0])
{
itkWarningMacro("B-spline coefficients have not been set");
for (unsigned int j = 0; j < SpaceDimension; ++j)
{
outputPoint[j] = transformedPoint[j];
}
return;
}
/***/
const ContinuousIndexType cindex = this->TransformPointToContinuousGridIndex(inputPoint);
// NOTE: if the support region does not lie totally within the grid
// we assume zero displacement and return the input point
inside = this->InsideValidRegion(cindex);
if (!inside)
{
outputPoint = transformedPoint;
return;
}
// Compute interpolation weights
IndexType supportIndex;
this->m_WeightsFunction->ComputeStartIndex(cindex, supportIndex);
this->m_WeightsFunction->Evaluate(cindex, supportIndex, weights);
// For each dimension, correlate coefficient with weights
RegionType supportRegion;
supportRegion.SetSize(WeightsFunctionType::SupportSize);
supportRegion.SetIndex(supportIndex);
outputPoint.Fill(ScalarType{});
/** Create iterators over the coefficient images. */
using IteratorType = ImageRegionConstIterator<ImageType>;
IteratorType iterator[SpaceDimension];
unsigned long counter = 0;
const PixelType * basePointer = this->m_CoefficientImages[0]->GetBufferPointer();
for (unsigned int j = 0; j < SpaceDimension; ++j)
{
iterator[j] = IteratorType(this->m_CoefficientImages[j], supportRegion);
}
/** Loop over the support region. */
while (!iterator[0].IsAtEnd())
{
// populate the indices array
indices[counter] = &(iterator[0].Value()) - basePointer;
// multiply weigth with coefficient to compute displacement
for (unsigned int j = 0; j < SpaceDimension; ++j)
{
outputPoint[j] += static_cast<ScalarType>(weights[counter] * iterator[j].Value());
++iterator[j];
}
++counter;
} // end while
// The output point is the start point + displacement.
for (unsigned int j = 0; j < SpaceDimension; ++j)
{
outputPoint[j] += transformedPoint[j];
}
} // end TransformPoint_OLD()
};
// end class BSplineTransform_TEST
} // end namespace itk
//-------------------------------------------------------------------------------------
int
main(int argc, char * argv[])
{
/** Some basic type definitions.
* NOTE: don't change the dimension or the spline order, since the
* hard-coded ground truth depends on this.
*/
const unsigned int Dimension = 3;
const unsigned int SplineOrder = 3;
using CoordinateRepresentationType = double;
/** The number of calls to Evaluate(). Distinguish between
* Debug and Release mode.
*/
#ifndef NDEBUG
unsigned int N = static_cast<unsigned int>(1e3);
#else
unsigned int N = static_cast<unsigned int>(1e5);
#endif
std::cerr << "N = " << N << std::endl;
/** Check. */
if (argc != 2)
{
std::cerr << "ERROR: You should specify a text file with the B-spline transformation parameters." << std::endl;
return 1;
}
/** Typedefs. */
using TransformType = itk::BSplineTransform_TEST<CoordinateRepresentationType, Dimension, SplineOrder>;
using InputPointType = TransformType::InputPointType;
using OutputPointType = TransformType::OutputPointType;
using ParametersType = TransformType::ParametersType;
using InputImageType = itk::Image<CoordinateRepresentationType, Dimension>;
using RegionType = InputImageType::RegionType;
using SizeType = InputImageType::SizeType;
using IndexType = InputImageType::IndexType;
using SpacingType = InputImageType::SpacingType;
using OriginType = InputImageType::PointType;
using DirectionType = InputImageType::DirectionType;
/** Create the transform. */
auto transform = TransformType::New();
/** Setup the B-spline transform:
* (GridSize 44 43 35)
* (GridIndex 0 0 0)
* (GridSpacing 10.7832773148 11.2116431394 11.8648235177)
* (GridOrigin -237.6759555555 -239.9488431747 -344.2315805162)
*/
SizeType gridSize;
gridSize[0] = 44;
gridSize[1] = 43;
gridSize[2] = 35;
IndexType gridIndex{};
RegionType gridRegion;
gridRegion.SetSize(gridSize);
gridRegion.SetIndex(gridIndex);
SpacingType gridSpacing;
gridSpacing[0] = 10.7832773148;
gridSpacing[1] = 11.2116431394;
gridSpacing[2] = 11.8648235177;
OriginType gridOrigin;
gridOrigin[0] = -237.6759555555;
gridOrigin[1] = -239.9488431747;
gridOrigin[2] = -344.2315805162;
transform->SetGridOrigin(gridOrigin);
transform->SetGridSpacing(gridSpacing);
transform->SetGridRegion(gridRegion);
transform->SetGridDirection(DirectionType::GetIdentity());
/** Now read the parameters as defined in the file par.txt. */
ParametersType parameters(transform->GetNumberOfParameters());
std::ifstream input(argv[1]);
if (input.is_open())
{
for (unsigned int i = 0; i < parameters.GetSize(); ++i)
{
input >> parameters[i];
}
}
else
{
std::cerr << "ERROR: could not open the text file containing the parameter values." << std::endl;
return 1;
}
transform->SetParameters(parameters);
/** Declare variables. */
InputPointType inputPoint;
inputPoint.Fill(4.1);
OutputPointType outputPoint;
double sum = 0.0;
itk::TimeProbe timeProbeOLD, timeProbeNEW;
/** Time the TransformPoint with the old region iterator. */
timeProbeOLD.Start();
for (unsigned int i = 0; i < N; ++i)
{
outputPoint = transform->TransformPoint_OLD(inputPoint);
sum += outputPoint[0];
sum += outputPoint[1];
sum += outputPoint[2];
}
timeProbeOLD.Stop();
const double oldTime = timeProbeOLD.GetMean();
/** Time the TransformPoint with the new scanline iterator. */
timeProbeNEW.Start();
for (unsigned int i = 0; i < N; ++i)
{
outputPoint = transform->TransformPoint(inputPoint);
sum += outputPoint[0];
sum += outputPoint[1];
sum += outputPoint[2];
}
timeProbeNEW.Stop();
const double newTime = timeProbeNEW.GetMean();
// Avoid compiler optimizations, so use sum
std::cerr << sum << std::endl; // works but ugly on screen
// volatile double a = sum; // works but gives unused variable warning
//#pragma optimize( "", off ) // unrecognized pragma
// sum += 2.0;
/** Report timings. */
std::cerr << std::setprecision(4);
std::cerr << "Time OLD = " << oldTime << " " << timeProbeOLD.GetUnit() << std::endl;
std::cerr << "Time NEW = " << newTime << " " << timeProbeNEW.GetUnit() << std::endl;
std::cerr << "Speedup factor = " << oldTime / newTime << std::endl;
/** Return a value. */
return 0;
} // end main
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