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00033 #ifndef __cmtkGroupwiseRegistrationRMIFunctional_h_included_
00034 #define __cmtkGroupwiseRegistrationRMIFunctional_h_included_
00035
00036 #include <cmtkconfig.h>
00037
00038 #include <Registration/cmtkGroupwiseRegistrationFunctionalXformTemplate.h>
00039
00040 #include <System/cmtkSmartPtr.h>
00041 #include <System/cmtkThreads.h>
00042 #include <System/cmtkMutexLock.h>
00043
00044 #include <Base/cmtkUniformVolume.h>
00045 #include <Base/cmtkXform.h>
00046 #include <Base/cmtkMathUtil.h>
00047 #include <Base/cmtkMatrix.h>
00048
00049 #include <vector>
00050
00051 namespace
00052 cmtk
00053 {
00054
00057
00060 template<class TXform>
00061 class GroupwiseRegistrationRMIFunctional :
00062 public GroupwiseRegistrationFunctionalXformTemplate<TXform>
00063 {
00064 public:
00066 typedef GroupwiseRegistrationFunctionalXformTemplate<TXform> Superclass;
00067
00069 typedef GroupwiseRegistrationRMIFunctional<TXform> Self;
00070
00072 typedef SmartPointer<Self> SmartPtr;
00073
00075 typedef TXform XformType;
00076
00078 typedef typename XformType::SmartPtr XformPointer;
00079
00081 GroupwiseRegistrationRMIFunctional();
00082
00084 virtual ~GroupwiseRegistrationRMIFunctional();
00085
00088 virtual void SetTemplateGrid( UniformVolume::SmartPtr& templateGrid ,
00089 const int downsample = 1 , const bool useTemplateData = false );
00090
00098 virtual typename Self::ReturnType EvaluateWithGradient( CoordinateVector& v, CoordinateVector& g, const Types::Coordinate step = 1 );
00099
00101 virtual typename Self::ReturnType Evaluate();
00102
00103 protected:
00105 typedef Matrix2D<typename Self::ReturnType> CovarianceMatrixType;
00106
00108 typename Self::CovarianceMatrixType m_CovarianceMatrix;
00109
00111 typedef std::vector<long int> SumsAndProductsVectorType;
00112
00114 SumsAndProductsVectorType m_SumOfProductsMatrix;
00115
00117 SumsAndProductsVectorType m_SumsVector;
00118
00120 typename Self::ReturnType GetMetric
00121 ( const SumsAndProductsVectorType& sumOfProductsMatrix,
00122 const SumsAndProductsVectorType& sumsVector,
00123 const unsigned int totalNumberOfSamples,
00124 typename Self::CovarianceMatrixType& covarianceMatrix ) const;
00125
00127 std::vector<SumsAndProductsVectorType> m_ThreadSumOfProductsMatrix;
00128
00130 std::vector<SumsAndProductsVectorType> m_ThreadSumsVector;
00131
00135 unsigned int m_TotalNumberOfSamples;
00136
00138 MutexLock m_MutexLock;
00139
00141 virtual bool Wiggle();
00142
00143 private:
00145 typedef ThreadParameters<Self> ThreadParametersType;
00146
00148 class EvaluateThreadParameters :
00150 public ThreadParametersType
00151 {
00152 };
00153
00155 static void EvaluateThread( void *const threadParameters, const size_t taskIdx, const size_t taskCnt, const size_t threadIdx, const size_t );
00156
00158 static void EvaluateProbabilisticThread( void *const threadParameters, const size_t taskIdx, const size_t taskCnt, const size_t threadIdx, const size_t );
00159 };
00160
00162
00163 }
00164
00165 #endif // #ifndef __cmtkGroupwiseRegistrationRMIFunctional_h_included_