ITK  4.13.0
Insight Segmentation and Registration Toolkit
Classes | Public Types | Public Member Functions | Static Public Member Functions | Protected Member Functions | Private Attributes | List of all members
itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric > Class Template Reference
Module ITKMetricsv4

#include <itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h>

+ Inheritance diagram for itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >:
+ Collaboration diagram for itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >:

Detailed Description

template<typename TDomainPartitioner, typename TImageToImageMetric, typename TNeighborhoodCorrelationMetric>
class itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >

Threading implementation for ANTS CC metric ANTSNeighborhoodCorrelationImageToImageMetricv4 . Supports both dense and sparse threading ways. The dense threader iterates over the whole image domain in order and use a neighborhood scanning window to compute the local cross correlation metric and its derivative incrementally inside the window. The sparse threader uses a sampled point set partitioner to computer local cross correlation only at the sampled positions.

This threader class is designed to host the dense and sparse threader under the same name so most computation routine functions and interior member variables can be shared. This eliminates the need to duplicate codes for two threaders. This is made by using function overloading and a helper class to identify different types of domain partitioners.

Definition at line 57 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

Classes

struct  ScanMemType
 
struct  ScanParametersType
 

Public Types

typedef Superclass::AssociateType AssociateType
 
typedef SmartPointer< const Self > ConstPointer
 
typedef Superclass::DerivativeType DerivativeType
 
typedef
Superclass::DerivativeValueType 		DerivativeValueType
 
typedef Superclass::DomainType DomainType
 
typedef
Superclass::FixedImageGradientType 		FixedImageGradientType
 
typedef
Superclass::FixedImagePixelType 		FixedImagePixelType
 
typedef
Superclass::FixedImagePointType 		FixedImagePointType
 
typedef
NeighborhoodCorrelationMetricType::FixedImageType 		FixedImageType
 
typedef
NeighborhoodCorrelationMetricType::ImageDimensionType 		ImageDimensionType
 
typedef
NeighborhoodCorrelationMetricType::ImageRegionType 		ImageRegionType
 
typedef
NeighborhoodCorrelationMetricType::InternalComputationValueType 		InternalComputationValueType
 
typedef
NeighborhoodCorrelationMetricType::JacobianType 		JacobianType
 
typedef Superclass::MeasureType MeasureType
 
typedef
Superclass::MovingImageGradientType 		MovingImageGradientType
 
typedef
Superclass::MovingImagePixelType 		MovingImagePixelType
 
typedef
Superclass::MovingImagePointType 		MovingImagePointType
 
typedef
NeighborhoodCorrelationMetricType::MovingImageType 		MovingImageType
 
typedef
TNeighborhoodCorrelationMetric 		NeighborhoodCorrelationMetricType
 
typedef
NeighborhoodCorrelationMetricType::NumberOfParametersType 		NumberOfParametersType
 
typedef SmartPointer< Self > Pointer
 
typedef
InternalComputationValueType 		QueueRealType
 
typedef
NeighborhoodCorrelationMetricType::RadiusType 		RadiusType
 
typedef
ConstNeighborhoodIterator
< VirtualImageType > 		ScanIteratorType
 
typedef struct
itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader::ScanMemType 		ScanMemType
 
typedef struct
itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader::ScanParametersType 		ScanParametersType
 
typedef
ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader 		Self
 
typedef std::deque< QueueRealType > SumQueueType
 
typedef
ImageToImageMetricv4GetValueAndDerivativeThreader
< TDomainPartitioner,
TImageToImageMetric > 		Superclass
 
typedef
Superclass::VirtualImageType 		VirtualImageType
 
typedef
Superclass::VirtualIndexType 		VirtualIndexType
 
typedef
Superclass::VirtualPointType 		VirtualPointType
 

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother () const
 
virtual const char * GetNameOfClass () const
 

Static Public Member Functions

static Pointer New ()
 

Protected Member Functions

 ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader ()
 
bool ComputeInformationFromQueues (const ScanIteratorType &scanIt, ScanMemType &scanMem, const ScanParametersType &scanParameters, const ThreadIdType threadId) const
 
void ComputeMovingTransformDerivative (const ScanIteratorType &scanIt, ScanMemType &scanMem, const ScanParametersType &scanParameters, DerivativeType &deriv, MeasureType &local_cc, const ThreadIdType threadId) const
 
void InitializeScanning (const ImageRegionType &scanRegion, ScanIteratorType &scanIt, ScanMemType &scanMem, ScanParametersType &scanParameters) const
 
virtual bool ProcessPoint (const VirtualIndexType &, const VirtualPointType &, const FixedImagePointType &, const FixedImagePixelType &, const FixedImageGradientType &, const MovingImagePointType &, const MovingImagePixelType &, const MovingImageGradientType &, MeasureType &, DerivativeType &, const ThreadIdType) const override
 
virtual bool ProcessVirtualPoint (const VirtualIndexType &virtualIndex, const VirtualPointType &virtualPoint, const ThreadIdType threadId) override
 
bool ProcessVirtualPoint_impl (IdentityHelper< ThreadedIndexedContainerPartitioner >, const VirtualIndexType &virtualIndex, const VirtualPointType &virtualPoint, const ThreadIdType threadId)
 
template<typename T >
bool ProcessVirtualPoint_impl (IdentityHelper< T >, const VirtualIndexType &virtualIndex, const VirtualPointType &virtualPoint, const ThreadIdType threadId)
 
virtual void ThreadedExecution (const DomainType &domain, const ThreadIdType threadId) override
 
void ThreadedExecution_impl (IdentityHelper< ThreadedImageRegionPartitioner< TImageToImageMetric::VirtualImageDimension > >, const DomainType &domain, const ThreadIdType threadId)
 
template<typename T >
void ThreadedExecution_impl (IdentityHelper< T >, const DomainType &domain, const ThreadIdType threadId)
 
void UpdateQueues (const ScanIteratorType &scanIt, ScanMemType &scanMem, const ScanParametersType &scanParameters, const ThreadIdType threadId) const
 
void UpdateQueuesAtBeginningOfLine (const ScanIteratorType &scanIt, ScanMemType &scanMem, const ScanParametersType &scanParameters, const ThreadIdType threadId) const
 
void UpdateQueuesToNextScanWindow (const ScanIteratorType &scanIt, ScanMemType &scanMem, const ScanParametersType &scanParameters, const ThreadIdType threadId) const
 

Private Attributes

TNeighborhoodCorrelationMetric * m_ANTSAssociate
 

Member Typedef Documentation

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef Superclass::AssociateType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::AssociateType

Definition at line 73 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef SmartPointer< const Self > itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ConstPointer

Definition at line 66 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef Superclass::DerivativeType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::DerivativeType

Definition at line 85 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef Superclass::DerivativeValueType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::DerivativeValueType

Definition at line 86 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef Superclass::DomainType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::DomainType

Definition at line 70 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef Superclass::FixedImageGradientType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::FixedImageGradientType

Definition at line 80 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef Superclass::FixedImagePixelType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::FixedImagePixelType

Definition at line 79 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef Superclass::FixedImagePointType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::FixedImagePointType

Definition at line 78 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef NeighborhoodCorrelationMetricType::FixedImageType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::FixedImageType

Definition at line 95 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef NeighborhoodCorrelationMetricType::ImageDimensionType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ImageDimensionType

Definition at line 92 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef NeighborhoodCorrelationMetricType::ImageRegionType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ImageRegionType

Definition at line 90 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef NeighborhoodCorrelationMetricType::InternalComputationValueType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::InternalComputationValueType

Definition at line 91 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef NeighborhoodCorrelationMetricType::JacobianType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::JacobianType

Definition at line 93 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef Superclass::MeasureType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::MeasureType

Definition at line 84 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef Superclass::MovingImageGradientType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::MovingImageGradientType

Definition at line 83 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef Superclass::MovingImagePixelType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::MovingImagePixelType

Definition at line 82 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef Superclass::MovingImagePointType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::MovingImagePointType

Definition at line 81 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef NeighborhoodCorrelationMetricType::MovingImageType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::MovingImageType

Definition at line 96 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef TNeighborhoodCorrelationMetric itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::NeighborhoodCorrelationMetricType

Definition at line 88 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef NeighborhoodCorrelationMetricType::NumberOfParametersType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::NumberOfParametersType

Definition at line 94 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef SmartPointer< Self > itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::Pointer

Definition at line 65 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef InternalComputationValueType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::QueueRealType

Definition at line 100 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef NeighborhoodCorrelationMetricType::RadiusType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::RadiusType

Definition at line 97 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef ConstNeighborhoodIterator<VirtualImageType> itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ScanIteratorType

Definition at line 102 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef struct itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader::ScanMemType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ScanMemType
template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef struct itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader::ScanParametersType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ScanParametersType
template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::Self

Standard class typedefs.

Definition at line 62 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef std::deque<QueueRealType> itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::SumQueueType

Definition at line 101 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef ImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric > itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::Superclass

Definition at line 64 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef Superclass::VirtualImageType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::VirtualImageType

Definition at line 75 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef Superclass::VirtualIndexType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::VirtualIndexType

Definition at line 77 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
typedef Superclass::VirtualPointType itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::VirtualPointType

Definition at line 76 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

Constructor & Destructor Documentation

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader ( )
inlineprotected

Definition at line 146 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

Member Function Documentation

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
bool itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ComputeInformationFromQueues ( const ScanIteratorType &  scanIt,
ScanMemType &  scanMem,
const ScanParametersType &  scanParameters,
const ThreadIdType  threadId 
) const
protected

Test to see if there are any voxels we need to handle in the current window.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
void itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ComputeMovingTransformDerivative ( const ScanIteratorType &  scanIt,
ScanMemType &  scanMem,
const ScanParametersType &  scanParameters,
DerivativeType &  deriv,
MeasureType &  local_cc,
const ThreadIdType  threadId 
) const
protected
template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
virtual::itk::LightObject::Pointer itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::CreateAnother ( ) const
template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
virtual const char* itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::GetNameOfClass ( ) const
virtual
template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
void itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::InitializeScanning ( const ImageRegionType &  scanRegion,
ScanIteratorType &  scanIt,
ScanMemType &  scanMem,
ScanParametersType &  scanParameters 
) const
protected

Common functions for computing correlation over scanning windows Create an iterator over the virtual sub region

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
static Pointer itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::New ( )
static
template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
virtual bool itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ProcessPoint ( const VirtualIndexType &  ,
const VirtualPointType &  ,
const FixedImagePointType &  ,
const FixedImagePixelType &  ,
const FixedImageGradientType &  ,
const MovingImagePointType &  ,
const MovingImagePixelType &  ,
const MovingImageGradientType &  ,
MeasureType &  ,
DerivativeType &  ,
const ThreadIdType   
) const
inlineoverrideprotectedvirtual

ProcessPoint() must be overloaded since it is a pure virtual function. It is not used for either sparse or dense threader.

Definition at line 210 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
virtual bool itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ProcessVirtualPoint ( const VirtualIndexType &  virtualIndex,
const VirtualPointType &  virtualPoint,
const ThreadIdType  threadId 
)
inlineoverrideprotectedvirtual

Dense threader and sparse threader invoke different in multi-threading. This class uses overloaded implementations of ProcessVirtualPoint_impl and ThreadExecution_impl in order to handle the dense and sparse cases differently. The helper class IdentityHelper allows for correct overloading these methods when substituting different type of the threaded partitioner

1) Dense threader: through its own ThreadedExecution. ProcessVirtualPoint and ProcessPoint of the base class are thus not used.

2) Sparse threader: through its own ProcessVirtualPoint. ThreadedExecution still invokes (mostly) from the base class.

In order to invoke different ThreadedExecution by different threader, we use function overloading techniques to resolve which version of ThreadedExecution and ProcessVirtualPoint by the type of the domain partitioner.

Specifically, a helper class IdentityHelper is used as a function parameter, with the sole purpose to differentiate different types of domain partitioners: ThreadedIndexedContainerPartitioner for sparse or ThreadedImageRegionPartitioner for dense. IdentityHelper is simply a class template, ie. a struct wrapper of type template arguments.

This technique takes advantage of SFINAE (Substitution Failure Is Not An Error) in specializing function templates. The helper class IdentityHelper is used to overload w.r.t different partitioner types. More discussion can be found at: http://stackoverflow.com/questions/3052579/explicit-specialization-in-non-namespace-scopeMethod called by the threaders to process the given virtual point. This in turn calls TransformAndEvaluateFixedPoint, TransformAndEvaluateMovingPoint, and ProcessPoint. And adds entries to m_MeasurePerThread and m_LocalDerivativesPerThread, m_NumberOfValidPointsPerThread.

Definition at line 183 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
bool itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ProcessVirtualPoint_impl ( IdentityHelper< ThreadedIndexedContainerPartitioner >  ,
const VirtualIndexType &  virtualIndex,
const VirtualPointType &  virtualPoint,
const ThreadIdType  threadId 
)
protected
template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
template<typename T >
bool itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ProcessVirtualPoint_impl ( IdentityHelper< T >  ,
const VirtualIndexType &  virtualIndex,
const VirtualPointType &  virtualPoint,
const ThreadIdType  threadId 
)
inlineprotected

Definition at line 198 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
virtual void itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ThreadedExecution ( const DomainType &  domain,
const ThreadIdType  threadId 
)
inlineoverrideprotectedvirtual

Definition at line 226 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
void itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ThreadedExecution_impl ( IdentityHelper< ThreadedImageRegionPartitioner< TImageToImageMetric::VirtualImageDimension > >  ,
const DomainType &  domain,
const ThreadIdType  threadId 
)
protected
template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
template<typename T >
void itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ThreadedExecution_impl ( IdentityHelper< T >  ,
const DomainType &  domain,
const ThreadIdType  threadId 
)
protected
template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
void itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::UpdateQueues ( const ScanIteratorType &  scanIt,
ScanMemType &  scanMem,
const ScanParametersType &  scanParameters,
const ThreadIdType  threadId 
) const
protected

Update the queues for the next point. Calls either UpdateQueuesAtBeginningOfLine or UpdateQueuesToNextScanWindow.

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
void itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::UpdateQueuesAtBeginningOfLine ( const ScanIteratorType &  scanIt,
ScanMemType &  scanMem,
const ScanParametersType &  scanParameters,
const ThreadIdType  threadId 
) const
protected
template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
void itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::UpdateQueuesToNextScanWindow ( const ScanIteratorType &  scanIt,
ScanMemType &  scanMem,
const ScanParametersType &  scanParameters,
const ThreadIdType  threadId 
) const
protected

Increment the iterator and check to see if we're at the end of the line. If so, go to the next line. Otherwise, add the the values for the next hyperplane.

Member Data Documentation

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >
TNeighborhoodCorrelationMetric* itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::m_ANTSAssociate
private

Internal pointer to the metric object in use by this threader. This will avoid costly dynamic casting in tight loops.

Definition at line 284 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

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