--- /dev/null
+/*=========================================================================
+ Program: vv http://www.creatis.insa-lyon.fr/rio/vv
+
+ Authors belong to:
+ - University of LYON http://www.universite-lyon.fr/
+ - Léon Bérard cancer center http://oncora1.lyon.fnclcc.fr
+ - CREATIS CNRS laboratory http://www.creatis.insa-lyon.fr
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the copyright notices for more information.
+
+ It is distributed under dual licence
+
+ - BSD See included LICENSE.txt file
+ - CeCILL-B http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.html
+======================================================================-====*/
+
+#ifndef __clitkOptNormalizedCorrelationImageToImageMetricFor3DBLUTFFD_h
+#define __clitkOptNormalizedCorrelationImageToImageMetricFor3DBLUTFFD_h
+
+#include "itkOptImageToImageMetric.h"
+#include "itkCovariantVector.h"
+#include "itkPoint.h"
+#include "itkIndex.h"
+
+#include "itkMultiThreader.h"
+
+namespace clitk
+{
+
+template <class TFixedImage,class TMovingImage >
+class ITK_EXPORT NormalizedCorrelationImageToImageMetricFor3DBLUTFFD :
+ public itk::ImageToImageMetric< TFixedImage, TMovingImage >
+{
+public:
+
+ /** Standard class typedefs. */
+ typedef NormalizedCorrelationImageToImageMetricFor3DBLUTFFD Self;
+ typedef itk::ImageToImageMetric< TFixedImage, TMovingImage > Superclass;
+ typedef itk::SmartPointer<Self> Pointer;
+ typedef itk::SmartPointer<const Self> ConstPointer;
+
+ /** Method for creation through the object factory. */
+ itkNewMacro(Self);
+
+ /** Run-time type information (and related methods). */
+ itkTypeMacro(NormalizedCorrelationImageToImageMetricFor3DBLUTFFD, ImageToImageMetric);
+
+ /** Types inherited from Superclass. */
+ typedef typename Superclass::RealType RealType;
+ typedef typename Superclass::TransformType TransformType;
+ typedef typename Superclass::TransformPointer TransformPointer;
+ typedef typename Superclass::TransformJacobianType TransformJacobianType;
+ typedef typename Superclass::InterpolatorType InterpolatorType;
+ typedef typename Superclass::MeasureType MeasureType;
+ typedef typename Superclass::DerivativeType DerivativeType;
+ typedef typename Superclass::ParametersType ParametersType;
+ typedef typename Superclass::FixedImageType FixedImageType;
+ typedef typename Superclass::MovingImageType MovingImageType;
+ typedef typename Superclass::MovingImagePointType MovingImagePointType;
+ typedef typename Superclass::FixedImageConstPointer FixedImageConstPointer;
+ typedef typename Superclass::MovingImageConstPointer MovingImageConstPointer;
+ typedef typename Superclass::CoordinateRepresentationType
+ CoordinateRepresentationType;
+ typedef typename Superclass::FixedImageSampleContainer
+ FixedImageSampleContainer;
+ typedef typename Superclass::ImageDerivativesType ImageDerivativesType;
+ typedef typename Superclass::WeightsValueType WeightsValueType;
+ typedef typename Superclass::IndexValueType IndexValueType;
+
+ // Needed for evaluation of Jacobian.
+ typedef typename Superclass::FixedImagePointType FixedImagePointType;
+
+ //Accumulators
+ typedef typename itk::NumericTraits< MeasureType >::AccumulateType AccumulateType;
+
+ /** The moving image dimension. */
+ itkStaticConstMacro( MovingImageDimension, unsigned int,
+ MovingImageType::ImageDimension );
+
+
+ /** Set/Get SubtractMean boolean. If true, the sample mean is subtracted
+ * from the sample values in the cross-correlation formula and
+ * typically results in narrower valleys in the cost fucntion.
+ * Default value is false. */
+ itkSetMacro( SubtractMean, bool );
+ itkGetConstReferenceMacro( SubtractMean, bool );
+ itkBooleanMacro( SubtractMean );
+
+ /**
+ * Initialize the Metric by
+ * (1) making sure that all the components are present and plugged
+ * together correctly,
+ * (2) uniformly select NumberOfSpatialSamples within
+ * the FixedImageRegion, and
+ * (3) allocate memory for pdf data structures. */
+ virtual void Initialize(void) throw ( itk::ExceptionObject );
+
+ /** Get the value. */
+ MeasureType GetValue( const ParametersType & parameters ) const;
+
+ /** Get the derivatives of the match measure. */
+ void GetDerivative( const ParametersType & parameters,
+ DerivativeType & Derivative ) const;
+
+ /** Get the value and derivatives for single valued optimizers. */
+ void GetValueAndDerivative( const ParametersType & parameters,
+ MeasureType & Value,
+ DerivativeType & Derivative ) const;
+
+protected:
+
+ NormalizedCorrelationImageToImageMetricFor3DBLUTFFD();
+ virtual ~NormalizedCorrelationImageToImageMetricFor3DBLUTFFD();
+ void PrintSelf(std::ostream& os, itk::Indent indent) const;
+
+private:
+
+ //purposely not implemented
+ NormalizedCorrelationImageToImageMetricFor3DBLUTFFD(const Self &);
+ //purposely not implemented
+ void operator=(const Self &);
+
+ /** Get the value for the derivative computation. */
+ MeasureType ComputeSums( const ParametersType & parameters ) const;
+
+
+ inline bool GetValueThreadProcessSample( unsigned int threadID,
+ unsigned long fixedImageSample,
+ const MovingImagePointType & mappedPoint,
+ double movingImageValue ) const;
+
+
+ inline bool GetValueAndDerivativeThreadProcessSample( unsigned int threadID,
+ unsigned long fixedImageSample,
+ const MovingImagePointType & mappedPoint,
+ double movingImageValue,
+ const ImageDerivativesType &
+ movingImageGradientValue ) const;
+
+ AccumulateType *m_ThreaderSFF, *m_ThreaderSMM, *m_ThreaderSFM, *m_ThreaderSF, *m_ThreaderSM;
+ mutable AccumulateType m_SFF, m_SMM, m_SFM, m_SF, m_SM;
+ mutable RealType m_Denom, m_FixedMean, m_MovingMean;
+ DerivativeType * m_ThreaderDerivativeF, *m_ThreaderDerivativeM;
+
+
+ bool m_SubtractMean;
+};
+
+} // end namespace clitk
+
+#ifndef ITK_MANUAL_INSTANTIATION
+#include "clitkOptNormalizedCorrelationImageToImageMetricFor3DBLUTFFD.txx"
+#endif
+
+#endif
+
+
git://git.creatis.insa-lyon.fr / clitk.git / blobdiff