/usr/include/ITK-4.9/itkESMDemonsRegistrationFunction.h is in libinsighttoolkit4-dev 4.9.0-4ubuntu1.
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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 itkESMDemonsRegistrationFunction_h
#define itkESMDemonsRegistrationFunction_h
#include "itkPDEDeformableRegistrationFunction.h"
#include "itkCentralDifferenceImageFunction.h"
#include "itkWarpImageFilter.h"
namespace itk
{
/**
* \class ESMDemonsRegistrationFunction
*
* \brief Fast implementation of the symmetric demons registration force
*
* This class provides a substantially faster implementation of the
* symmetric demons registration force. Speed is improved by keeping
* a deformed copy of the moving image for gradient evaluation.
*
* Symmetric forces simply means using the mean of the gradient
* of the fixed image and the gradient of the warped moving
* image.
*
* Note that this class also enables the use of fixed, mapped moving
* and warped moving images forces by using a call to SetUseGradientType
*
* The moving image should not be saturated. We indeed use
* NumericTraits<MovingPixelType>::Max() as a special value.
*
* \author Tom Vercauteren, INRIA & Mauna Kea Technologies
*
* This implementation was taken from the Insight Journal paper:
* http://hdl.handle.net/1926/510
*
* \sa SymmetricForcesDemonsRegistrationFunction
* \sa SymmetricForcesDemonsRegistrationFilter
* \sa DemonsRegistrationFilter
* \sa DemonsRegistrationFunction
* \ingroup FiniteDifferenceFunctions
*
* \ingroup ITKReview
*/
template< typename TFixedImage, typename TMovingImage, typename TDisplacementField >
class ESMDemonsRegistrationFunction:
public PDEDeformableRegistrationFunction< TFixedImage,
TMovingImage, TDisplacementField >
{
public:
/** Standard class typedefs. */
typedef ESMDemonsRegistrationFunction Self;
typedef PDEDeformableRegistrationFunction<
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(ESMDemonsRegistrationFunction,
PDEDeformableRegistrationFunction);
/** MovingImage image type. */
typedef typename Superclass::MovingImageType MovingImageType;
typedef typename Superclass::MovingImagePointer MovingImagePointer;
typedef typename MovingImageType::PixelType MovingPixelType;
/** 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;
typedef typename FixedImageType::DirectionType DirectionType;
/** 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;
/** Warper type */
typedef WarpImageFilter<
MovingImageType,
MovingImageType, DisplacementFieldType > WarperType;
typedef typename WarperType::Pointer WarperPointer;
/** 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 (unwarped) calculator type. */
typedef CentralDifferenceImageFunction< MovingImageType, CoordRepType >
MovingImageGradientCalculatorType;
typedef typename MovingImageGradientCalculatorType::Pointer
MovingImageGradientCalculatorPointer;
/** Set the moving image interpolator. */
void SetMovingImageInterpolator(InterpolatorType *ptr)
{ m_MovingImageInterpolator = ptr; m_MovingImageWarper->SetInterpolator(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 ITK_OVERRIDE
{ 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 ITK_OVERRIDE
{
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 ITK_OVERRIDE;
/** Set the object's state before each iteration. */
virtual void InitializeIteration() ITK_OVERRIDE;
/** 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) ) ITK_OVERRIDE;
/** 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 const double & GetRMSChange() const
{ return m_RMSChange; }
/** 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;
/** Set/Get the maximum update step length. In Thirion this is 0.5.
* Setting it to 0 implies no restriction (beware of numerical
* instability in this case. */
virtual void SetMaximumUpdateStepLength(double sm)
{
this->m_MaximumUpdateStepLength = sm;
}
virtual double GetMaximumUpdateStepLength() const
{
return this->m_MaximumUpdateStepLength;
}
/** Type of available image forces */
enum GradientType {
Symmetric = 0,
Fixed = 1,
WarpedMoving = 2,
MappedMoving = 3
};
/** Set/Get the type of used image forces */
virtual void SetUseGradientType(GradientType gtype)
{ m_UseGradientType = gtype; }
virtual GradientType GetUseGradientType() const
{ return m_UseGradientType; }
protected:
ESMDemonsRegistrationFunction();
~ESMDemonsRegistrationFunction() {}
void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;
/** FixedImage image neighborhood iterator type. */
typedef ConstNeighborhoodIterator< FixedImageType > FixedImageNeighborhoodIteratorType;
/** A global data type for this class of equation. Used to store
* iterators for the fixed image. */
struct GlobalDataStruct {
double m_SumOfSquaredDifference;
SizeValueType m_NumberOfPixelsProcessed;
double m_SumOfSquaredChange;
};
private:
ESMDemonsRegistrationFunction(const Self &) ITK_DELETE_FUNCTION;
void operator=(const Self &) ITK_DELETE_FUNCTION;
/** Cache fixed image information. */
PointType m_FixedImageOrigin;
SpacingType m_FixedImageSpacing;
DirectionType m_FixedImageDirection;
double m_Normalizer;
/** Function to compute derivatives of the fixed image. */
GradientCalculatorPointer m_FixedImageGradientCalculator;
/** Function to compute derivatives of the moving image (unwarped). */
MovingImageGradientCalculatorPointer m_MappedMovingImageGradientCalculator;
GradientType m_UseGradientType;
/** Function to interpolate the moving image. */
InterpolatorPointer m_MovingImageInterpolator;
/** Filter to warp moving image for fast gradient computation. */
WarperPointer m_MovingImageWarper;
MovingImageType *m_MovingImageWarperOutput;
/** 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;
/** Maximum update step length in pixels (default is 0.5 as in Thirion). */
double m_MaximumUpdateStepLength;
/** 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;
/** Mutex lock to protect modification to metric. */
mutable SimpleFastMutexLock m_MetricCalculationLock;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkESMDemonsRegistrationFunction.hxx"
#endif
#endif
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