/usr/include/ITK-4.5/itkGPUDemonsRegistrationFunction.h is in libinsighttoolkit4-dev 4.5.0-3.
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*
* Copyright Insight Software Consortium
*
* 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.
*
*=========================================================================*/
#ifndef __itkGPUDemonsRegistrationFunction_h
#define __itkGPUDemonsRegistrationFunction_h
#include "itkGPUPDEDeformableRegistrationFunction.h"
#include "itkPoint.h"
#include "itkLinearInterpolateImageFunction.h"
#include "itkCentralDifferenceImageFunction.h"
#include "itkGPUReduction.h"
namespace itk
{
/**
* \class GPUDemonsRegistrationFunction
*
* This class encapsulate the PDE which drives the demons registration
* algorithm. It is used by DemonsRegistrationFilter to compute the
* output deformation field which will map a moving image onto a
* a fixed image.
*
* Non-integer moving image values are obtained by using
* interpolation. The default interpolator is of type
* LinearInterpolateImageFunction. The user may set other
* interpolators via method SetMovingImageInterpolator. Note that the input
* interpolator must derive from baseclass InterpolateImageFunction.
*
* This class is templated over the fixed image type, moving image type,
* and the deformation field type.
*
* \warning This filter assumes that the fixed image type, moving image type
* and deformation field type all have the same number of dimensions.
*
* \sa DemonsRegistrationFilter
* \ingroup FiniteDifferenceFunctions
* \ingroup ITKGPUPDEDeformableRegistration
*/
/** Create a helper GPU Kernel class for GPUDemonsRegistrationFunction */
itkGPUKernelClassMacro(GPUDemonsRegistrationFunctionKernel);
template< typename TFixedImage, typename TMovingImage, typename TDisplacementField >
class GPUDemonsRegistrationFunction :
public GPUPDEDeformableRegistrationFunction< TFixedImage,
TMovingImage,
TDisplacementField >
{
public:
/** Standard class typedefs. */
typedef GPUDemonsRegistrationFunction Self;
typedef GPUPDEDeformableRegistrationFunction< TFixedImage, TMovingImage,
TDisplacementField> Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(GPUDemonsRegistrationFunction,
DemonsRegistrationFunction);
/** MovingImage image type. */
typedef typename Superclass::MovingImageType MovingImageType;
typedef typename Superclass::MovingImagePointer MovingImagePointer;
/** FixedImage image type. */
typedef typename Superclass::FixedImageType FixedImageType;
typedef typename Superclass::FixedImagePointer FixedImagePointer;
typedef typename FixedImageType::IndexType IndexType;
typedef typename FixedImageType::SizeType SizeType;
typedef typename FixedImageType::SpacingType SpacingType;
/** Deformation field type. */
typedef typename Superclass::DisplacementFieldType DisplacementFieldType;
typedef typename Superclass::DisplacementFieldTypePointer
DisplacementFieldTypePointer;
/** Inherit some enums from the superclass. */
itkStaticConstMacro(ImageDimension, unsigned
int, Superclass::ImageDimension);
/** Inherit some enums from the superclass. */
typedef typename Superclass::PixelType PixelType;
typedef typename Superclass::RadiusType RadiusType;
typedef typename Superclass::NeighborhoodType NeighborhoodType;
typedef typename Superclass::FloatOffsetType FloatOffsetType;
typedef typename Superclass::TimeStepType TimeStepType;
/** Interpolator type. */
typedef double CoordRepType;
typedef InterpolateImageFunction< MovingImageType, CoordRepType > InterpolatorType;
typedef typename InterpolatorType::Pointer InterpolatorPointer;
typedef typename InterpolatorType::PointType PointType;
typedef LinearInterpolateImageFunction< MovingImageType, CoordRepType > DefaultInterpolatorType;
/** Covariant vector type. */
typedef CovariantVector< double, itkGetStaticConstMacro(ImageDimension) > CovariantVectorType;
/** Fixed image gradient calculator type. */
typedef CentralDifferenceImageFunction< FixedImageType > GradientCalculatorType;
typedef typename GradientCalculatorType::Pointer GradientCalculatorPointer;
/** Moving image gradient calculator type. */
typedef CentralDifferenceImageFunction< MovingImageType, CoordRepType >
MovingImageGradientCalculatorType;
typedef typename MovingImageGradientCalculatorType::Pointer
MovingImageGradientCalculatorPointer;
/** GPU data pointer type. */
typedef GPUDataManager::Pointer GPUDataPointer;
/** Get OpenCL Kernel source as a string, creates a GetOpenCLSource method */
itkGetOpenCLSourceFromKernelMacro(GPUDemonsRegistrationFunctionKernel);
/** Set the moving image interpolator. */
void SetMovingImageInterpolator(InterpolatorType *ptr)
{
m_MovingImageInterpolator = ptr;
}
/** Get the moving image interpolator. */
InterpolatorType * GetMovingImageInterpolator(void)
{
return m_MovingImageInterpolator;
}
/** This class uses a constant timestep of 1. */
virtual TimeStepType ComputeGlobalTimeStep( void *itkNotUsed(GlobalData) )
const
{
return m_TimeStep;
}
/** Return a pointer to a global data structure that is passed to
* this object from the solver at each calculation. */
virtual void * GetGlobalDataPointer() const
{
GlobalDataStruct *global = new GlobalDataStruct();
global->m_SumOfSquaredDifference = 0.0;
global->m_NumberOfPixelsProcessed = 0L;
global->m_SumOfSquaredChange = 0;
return global;
}
/** Release memory for global data structure. */
virtual void ReleaseGlobalDataPointer(void *GlobalData) const;
/** Allocate GPU buffers for computing metric statitics
* */
virtual void GPUAllocateMetricData(unsigned int numPixels);
/** Release GPU buffers for computing metric statitics
* */
virtual void GPUReleaseMetricData();
/** Set the object's state before each iteration. */
virtual void InitializeIteration();
/** This method is called by a finite difference solver image filter at
* each pixel that does not lie on a data set boundary */
virtual PixelType ComputeUpdate( const NeighborhoodType & neighborhood,
void *globalData,
const FloatOffsetType & offset =
FloatOffsetType(0.0) );
virtual void GPUComputeUpdate( const DisplacementFieldTypePointer output,
DisplacementFieldTypePointer update,
void *gd);
/** Get the metric value. The metric value is the mean square difference
* in intensity between the fixed image and transforming moving image
* computed over the the overlapping region between the two images. */
virtual double GetMetric() const
{
return m_Metric;
}
/** Get the rms change in deformation field. */
virtual double GetRMSChange() const
{
return m_RMSChange;
}
/** Select if the fixed image or moving image gradient is used for
* the computating the demon forces. The fixed image gradient is used
* by default. */
virtual void SetUseMovingImageGradient(bool flag)
{
m_UseMovingImageGradient = flag;
}
virtual bool GetUseMovingImageGradient() const
{
return m_UseMovingImageGradient;
}
/** Set/Get the threshold below which the absolute difference of
* intensity yields a match. When the intensities match between a
* moving and fixed image pixel, the update vector (for that
* iteration) will be the zero vector. Default is 0.001. */
virtual void SetIntensityDifferenceThreshold(double);
virtual double GetIntensityDifferenceThreshold() const;
protected:
GPUDemonsRegistrationFunction();
~GPUDemonsRegistrationFunction() {
}
void PrintSelf(std::ostream & os, Indent indent) const;
/** FixedImage image neighborhood iterator type. */
typedef ConstNeighborhoodIterator< FixedImageType >
FixedImageNeighborhoodIteratorType;
/** A global data type for this class of equation. Used to store
* information for computing the metric. */
struct GlobalDataStruct {
double m_SumOfSquaredDifference;
SizeValueType m_NumberOfPixelsProcessed;
double m_SumOfSquaredChange;
};
/* GPU kernel handle for GPUComputeUpdate */
int m_ComputeUpdateGPUKernelHandle;
private:
GPUDemonsRegistrationFunction(const Self &); //purposely not implemented
void operator=(const Self &); //purposely not implemented
/** Cache fixed image information. */
//SpacingType m_FixedImageSpacing;
//PointType m_FixedImageOrigin;
PixelType m_ZeroUpdateReturn;
double m_Normalizer;
/** Function to compute derivatives of the fixed image. */
GradientCalculatorPointer m_FixedImageGradientCalculator;
/** Function to compute derivatives of the moving image. */
MovingImageGradientCalculatorPointer m_MovingImageGradientCalculator;
bool m_UseMovingImageGradient;
/** Function to interpolate the moving image. */
InterpolatorPointer m_MovingImageInterpolator;
/** The global timestep. */
TimeStepType m_TimeStep;
/** Threshold below which the denominator term is considered zero. */
double m_DenominatorThreshold;
/** Threshold below which two intensity value are assumed to match. */
double m_IntensityDifferenceThreshold;
/** The metric value is the mean square difference in intensity between
* the fixed image and transforming moving image computed over the
* the overlapping region between the two images. */
mutable double m_Metric;
mutable double m_SumOfSquaredDifference;
mutable SizeValueType m_NumberOfPixelsProcessed;
mutable double m_RMSChange;
mutable double m_SumOfSquaredChange;
mutable GPUReduction<int>::Pointer m_GPUPixelCounter;
mutable GPUReduction<float>::Pointer m_GPUSquaredChange;
mutable GPUReduction<float>::Pointer m_GPUSquaredDifference;
/** Mutex lock to protect modification to metric. */
mutable SimpleFastMutexLock m_MetricCalculationLock;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkGPUDemonsRegistrationFunction.hxx"
#endif
#endif
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