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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 __itkMattesMutualInformationImageToImageMetricv4_h
#define __itkMattesMutualInformationImageToImageMetricv4_h
#include "itkImageToImageMetricv4.h"
#include "itkMattesMutualInformationImageToImageMetricv4GetValueAndDerivativeThreader.h"
#include "itkPoint.h"
#include "itkIndex.h"
#include "itkBSplineDerivativeKernelFunction.h"
#include "itkArray2D.h"
namespace itk
{
/** \class MattesMutualInformationImageToImageMetricv4
*
* \brief Computes the mutual information between two images to be
* registered using the method of Mattes et al.
*
* MattesMutualInformationImageToImageMetric computes the mutual
* information between a fixed and moving image to be registered.
*
* This class is templated over the FixedImage type and the MovingImage
* type.
*
* The calculations are based on the method of Mattes et al [1,2]
* where the probability density distribution are estimated using
* Parzen histograms. Since the fixed image PDF does not contribute
* to the derivatives, it does not need to be smooth. Hence,
* a zero order (box car) BSpline kernel is used
* for the fixed image intensity PDF. On the other hand, to ensure
* smoothness a third order BSpline kernel is used for the
* moving image intensity PDF.
*
* During each call of GetValue(), GetDerivatives(),
* GetValueAndDerivatives(), marginal and joint intensity PDF's
* values are estimated at discrete position or bins.
* The number of bins used can be set via SetNumberOfHistogramBins().
* To handle data with arbitray magnitude and dynamic range,
* the image intensity is scale such that any contribution to the
* histogram will fall into a valid bin.
*
* One the PDF's have been contructed, the mutual information
* is obtained by doubling summing over the discrete PDF values.
*
* \warning Local-support transforms are not yet supported. If used,
* an exception is thrown during Initialize().
*
* \note The per-iteration post-processing code is not multi-threaded, but could be
* readily be made so for a small performance gain.
* See GetValueCommonAfterThreadedExecution(), GetValueAndDerivative()
* and threader::AfterThreadedExecution().
*
* The algorithm and much of the code was copied from the previous
* Mattes MI metric, i.e. itkMattesMutualInformationImageToImageMetric.
*
* See
* MattesMutualInformationImageToImageMetricv4GetValueAndDerivativeThreader::ProcessPoint
* for poritons of the algorithm implementation.
*
* See ImageToImageMetricv4 for details of common metric operation and options.
*
* References:
* [1] "Nonrigid multimodality image registration"
* D. Mattes, D. R. Haynor, H. Vesselle, T. Lewellen and W. Eubank
* Medical Imaging 2001: Image Processing, 2001, pp. 1609-1620.
* [2] "PET-CT Image Registration in the Chest Using Free-form Deformations"
* D. Mattes, D. R. Haynor, H. Vesselle, T. Lewellen and W. Eubank
* IEEE Transactions in Medical Imaging. Vol.22, No.1,
January 2003. pp.120-128.
* [3] "Optimization of Mutual Information for MultiResolution Image
* Registration"
* P. Thevenaz and M. Unser
* IEEE Transactions in Image Processing, 9(12) December 2000.
*
* \sa itkImageToImageMetricv4
* \ingroup ITKMetricsv4
*/
template <typename TFixedImage, typename TMovingImage, typename TVirtualImage = TFixedImage,
typename TInternalComputationValueType = double,
typename TMetricTraits = DefaultImageToImageMetricTraitsv4<TFixedImage,TMovingImage,TVirtualImage,TInternalComputationValueType>
>
class MattesMutualInformationImageToImageMetricv4 :
public ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>
{
public:
/** Standard class typedefs. */
typedef MattesMutualInformationImageToImageMetricv4 Self;
typedef ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage,
TInternalComputationValueType,TMetricTraits> 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(MattesMutualInformationImageToImageMetricv4, ImageToImageMetricv4);
/** Superclass types */
typedef typename Superclass::MeasureType MeasureType;
typedef typename Superclass::DerivativeType DerivativeType;
typedef typename DerivativeType::ValueType DerivativeValueType;
typedef typename Superclass::FixedImageType FixedImageType;
typedef typename Superclass::FixedImagePointType FixedImagePointType;
typedef typename Superclass::FixedImageIndexType FixedImageIndexType;
typedef typename Superclass::FixedImagePixelType FixedImagePixelType;
typedef typename Superclass::FixedImageGradientType FixedImageGradientType;
typedef typename Superclass::MovingImagePointType MovingImagePointType;
typedef typename Superclass::MovingImagePixelType MovingImagePixelType;
typedef typename Superclass::MovingImageGradientType MovingImageGradientType;
typedef typename Superclass::MovingTransformType MovingTransformType;
typedef typename Superclass::JacobianType JacobianType;
typedef typename Superclass::VirtualImageType VirtualImageType;
typedef typename Superclass::VirtualIndexType VirtualIndexType;
typedef typename Superclass::VirtualPointType VirtualPointType;
typedef typename Superclass::VirtualPointSetType VirtualPointSetType;
/** Types inherited from Superclass. */
typedef typename Superclass::FixedSampledPointSetPointer FixedSampledPointSetPointer;
/* Image dimension accessors */
itkStaticConstMacro(VirtualImageDimension, ImageDimensionType, TVirtualImage::ImageDimension);
itkStaticConstMacro(FixedImageDimension, ImageDimensionType, TFixedImage::ImageDimension);
itkStaticConstMacro(MovingImageDimension, ImageDimensionType, TMovingImage::ImageDimension);
/** Number of bins to used in the histogram. Typical value is
* 50. The minimum value is 5 due to the padding required by the Parzen
* windowing with a cubic-BSpline kernel. Note that even if the metric
* is used on binary images, the number of bins should at least be
* equal to five. */
itkSetClampMacro( NumberOfHistogramBins, SizeValueType, 5, NumericTraits<SizeValueType>::max() );
itkGetConstReferenceMacro(NumberOfHistogramBins, SizeValueType);
virtual void Initialize(void) throw ( itk::ExceptionObject );
/** The marginal PDFs are stored as std::vector. */
//NOTE: floating point precision is not as stable.
// Double precision proves faster and more robust in real-world testing.
typedef TInternalComputationValueType PDFValueType;
/** Typedef for the joint PDF and PDF derivatives are stored as ITK Images. */
typedef Image<PDFValueType, 2> JointPDFType;
typedef Image<PDFValueType, 3> JointPDFDerivativesType;
/**
* Get the internal JointPDF image that was used in
* creating the metric value.
*/
const typename JointPDFType::Pointer GetJointPDF () const
{
if( this->m_ThreaderJointPDF.size() == 0 )
{
return typename JointPDFType::Pointer(NULL);
}
return this->m_ThreaderJointPDF[0];
}
/**
* Get the internal JointPDFDeriviative image that was used in
* creating the metric derivative value.
* This is only created when a global support transform is used, and
* derivatives are requested.
*/
const typename JointPDFDerivativesType::Pointer GetJointPDFDerivatives () const
{
if( this->m_ThreaderJointPDFDerivatives.size() == 0 )
{
return typename JointPDFDerivativesType::Pointer(NULL);
}
return this->m_ThreaderJointPDFDerivatives[0];
}
protected:
MattesMutualInformationImageToImageMetricv4();
virtual ~MattesMutualInformationImageToImageMetricv4();
friend class MattesMutualInformationImageToImageMetricv4GetValueAndDerivativeThreader< ThreadedImageRegionPartitioner< Superclass::VirtualImageDimension >, Superclass, Self >;
friend class MattesMutualInformationImageToImageMetricv4GetValueAndDerivativeThreader< ThreadedIndexedContainerPartitioner, Superclass, Self >;
typedef MattesMutualInformationImageToImageMetricv4GetValueAndDerivativeThreader< ThreadedImageRegionPartitioner< Superclass::VirtualImageDimension >, Superclass, Self >
MattesMutualInformationDenseGetValueAndDerivativeThreaderType;
typedef MattesMutualInformationImageToImageMetricv4GetValueAndDerivativeThreader< ThreadedIndexedContainerPartitioner, Superclass, Self >
MattesMutualInformationSparseGetValueAndDerivativeThreaderType;
void PrintSelf(std::ostream& os, Indent indent) const;
typedef typename JointPDFType::IndexType JointPDFIndexType;
typedef typename JointPDFType::PixelType JointPDFValueType;
typedef typename JointPDFType::RegionType JointPDFRegionType;
typedef typename JointPDFType::SizeType JointPDFSizeType;
typedef typename JointPDFDerivativesType::IndexType JointPDFDerivativesIndexType;
typedef typename JointPDFDerivativesType::PixelType JointPDFDerivativesValueType;
typedef typename JointPDFDerivativesType::RegionType JointPDFDerivativesRegionType;
typedef typename JointPDFDerivativesType::SizeType JointPDFDerivativesSizeType;
/** Typedefs for BSpline kernel and derivative functions. */
typedef BSplineKernelFunction<3,PDFValueType> CubicBSplineFunctionType;
typedef BSplineDerivativeKernelFunction<3,PDFValueType> CubicBSplineDerivativeFunctionType;
/** Post-processing code common to both GetValue
* and GetValueAndDerivative. */
virtual void GetValueCommonAfterThreadedExecution();
OffsetValueType ComputeSingleFixedImageParzenWindowIndex( const FixedImagePixelType & value ) const;
/** Variables to define the marginal and joint histograms. */
SizeValueType m_NumberOfHistogramBins;
PDFValueType m_MovingImageNormalizedMin;
PDFValueType m_FixedImageNormalizedMin;
PDFValueType m_FixedImageTrueMin;
PDFValueType m_FixedImageTrueMax;
PDFValueType m_MovingImageTrueMin;
PDFValueType m_MovingImageTrueMax;
PDFValueType m_FixedImageBinSize;
PDFValueType m_MovingImageBinSize;
/** Cubic BSpline kernel for computing Parzen histograms. */
typename CubicBSplineFunctionType::Pointer m_CubicBSplineKernel;
typename CubicBSplineDerivativeFunctionType::Pointer m_CubicBSplineDerivativeKernel;
/** Helper array for storing the values of the JointPDF ratios. */
typedef PDFValueType PRatioType;
typedef std::vector<PRatioType> PRatioArrayType;
mutable PRatioArrayType m_PRatioArray;
/** Helper array for storing per-parameter linearized index to
* retrieve the pRatio during evaluation with local-support transform. */
mutable std::vector<OffsetValueType> m_JointPdfIndex1DArray;
/** The moving image marginal PDF. */
mutable std::vector<PDFValueType> m_MovingImageMarginalPDF;
mutable std::vector<std::vector<PDFValueType> > m_ThreaderFixedImageMarginalPDF;
/** The joint PDF and PDF derivatives. */
typename std::vector<typename JointPDFType::Pointer> m_ThreaderJointPDF;
typename std::vector<typename JointPDFDerivativesType::Pointer> m_ThreaderJointPDFDerivatives;
std::vector<int> m_ThreaderJointPDFStartBin;
std::vector<int> m_ThreaderJointPDFEndBin;
mutable std::vector<PDFValueType> m_ThreaderJointPDFSum;
/** Store the per-point local derivative result by parzen window bin.
* For local-support transforms only. */
mutable std::vector<DerivativeType> m_LocalDerivativeByParzenBin;
private:
MattesMutualInformationImageToImageMetricv4(const Self &); //purposely not implemented
void operator = (const Self &); //purposely not implemented
/** Perform the final step in computing results */
virtual void ComputeResults( void ) const;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkMattesMutualInformationImageToImageMetricv4.hxx"
#endif
#endif
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