itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric > Class Template Reference

#include <itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h>

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 58 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

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

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

Classes
struct	ScanMemType
struct	ScanParametersType

Public Types
using	ConstPointer = SmartPointer< const Self >
using	FixedImageType = typename NeighborhoodCorrelationMetricType::FixedImageType
using	ImageDimensionType = typename NeighborhoodCorrelationMetricType::ImageDimensionType
using	ImageRegionType = typename NeighborhoodCorrelationMetricType::ImageRegionType
using	InternalComputationValueType = typename NeighborhoodCorrelationMetricType::InternalComputationValueType
using	JacobianType = typename NeighborhoodCorrelationMetricType::JacobianType
using	MovingImageType = typename NeighborhoodCorrelationMetricType::MovingImageType
using	NeighborhoodCorrelationMetricType = TNeighborhoodCorrelationMetric
using	NumberOfParametersType = typename NeighborhoodCorrelationMetricType::NumberOfParametersType
using	Pointer = SmartPointer< Self >
using	QueueRealType = InternalComputationValueType
using	RadiusType = typename NeighborhoodCorrelationMetricType::RadiusType
using	ScanIteratorType = ConstNeighborhoodIterator< VirtualImageType >
using	Self = ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader
using	SumQueueType = std::deque< QueueRealType >
using	Superclass = ImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric >
using	VirtualImageType = typename Superclass::VirtualImageType

Public Member Functions
const char *	GetNameOfClass () const override

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 &localCC, const ThreadIdType threadId) const
void	InitializeScanning (const ImageRegionType &scanRegion, ScanIteratorType &scanIt, ScanMemType &scanMem, ScanParametersType &scanParameters) const
bool	ProcessPoint (const VirtualIndexType &, const VirtualPointType &, const FixedImagePointType &, const FixedImagePixelType &, const FixedImageGradientType &, const MovingImagePointType &, const MovingImagePixelType &, const MovingImageGradientType &, MeasureType &, DerivativeType &, const ThreadIdType) const override
bool	ProcessVirtualPoint (const VirtualIndexType &virtualIndex, const VirtualPointType &virtualPoint, const ThreadIdType threadId) override
template<typename T >
bool	ProcessVirtualPoint_impl (IdentityHelper< T >, const VirtualIndexType &virtualIndex, const VirtualPointType &virtualPoint, const ThreadIdType threadId)
bool	ProcessVirtualPoint_impl (IdentityHelper< ThreadedIndexedContainerPartitioner >, const VirtualIndexType &virtualIndex, const VirtualPointType &virtualPoint, const ThreadIdType threadId)
void	ThreadedExecution (const DomainType &domain, const ThreadIdType threadId) override
template<typename T >
void	ThreadedExecution_impl (IdentityHelper< T >, const DomainType &domain, const ThreadIdType threadId)
void	ThreadedExecution_impl (IdentityHelper< ThreadedImageRegionPartitioner< TImageToImageMetric::VirtualImageDimension >>, const DomainType &virtualImageSubRegion, 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 {}
std::once_flag	m_ANTSAssociateOnceFlag {}

Member Typedef Documentation

ConstPointer

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

using itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ConstPointer = SmartPointer<const Self>

Definition at line 68 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

FixedImageType

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

using itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::FixedImageType = typename NeighborhoodCorrelationMetricType::FixedImageType

Definition at line 97 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

ImageDimensionType

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

using itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ImageDimensionType = typename NeighborhoodCorrelationMetricType::ImageDimensionType

Definition at line 94 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

ImageRegionType

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

using itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ImageRegionType = typename NeighborhoodCorrelationMetricType::ImageRegionType

Definition at line 92 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

InternalComputationValueType

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

using itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::InternalComputationValueType = typename NeighborhoodCorrelationMetricType::InternalComputationValueType

Definition at line 93 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

JacobianType

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

using itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::JacobianType = typename NeighborhoodCorrelationMetricType::JacobianType

Definition at line 95 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

MovingImageType

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

using itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::MovingImageType = typename NeighborhoodCorrelationMetricType::MovingImageType

Definition at line 98 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

NeighborhoodCorrelationMetricType

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

using itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::NeighborhoodCorrelationMetricType = TNeighborhoodCorrelationMetric

Definition at line 90 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

NumberOfParametersType

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

using itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::NumberOfParametersType = typename NeighborhoodCorrelationMetricType::NumberOfParametersType

Definition at line 96 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

Pointer

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

using itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::Pointer = SmartPointer<Self>

Definition at line 67 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

QueueRealType

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

using itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::QueueRealType = InternalComputationValueType

Definition at line 102 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

RadiusType

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

using itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::RadiusType = typename NeighborhoodCorrelationMetricType::RadiusType

Definition at line 99 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

ScanIteratorType

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

using itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ScanIteratorType = ConstNeighborhoodIterator<VirtualImageType>

Definition at line 104 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

Self

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

using itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::Self = ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader

Standard class type aliases.

Definition at line 65 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

SumQueueType

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

using itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::SumQueueType = std::deque<QueueRealType>

Definition at line 103 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

Superclass

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

using itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::Superclass = ImageToImageMetricv4GetValueAndDerivativeThreader<TDomainPartitioner, TImageToImageMetric>

Definition at line 66 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

VirtualImageType

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

using itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::VirtualImageType = typename Superclass::VirtualImageType

Definition at line 77 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

Constructor & Destructor Documentation

ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader()

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader ( )

inlineprotected

Definition at line 149 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

Member Function Documentation

ComputeInformationFromQueues()

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.

ComputeMovingTransformDerivative()

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 &  localCC, const ThreadIdType  threadId  ) const

protected

GetNameOfClass()

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

const char* itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::GetNameOfClass ( ) const

override

InitializeScanning()

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

New()

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

static Pointer itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::New ( )

static

ProcessPoint()

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

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

inlineoverrideprotected

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

Definition at line 217 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

ProcessVirtualPoint()

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

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

inlineoverrideprotected

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: https://stackoverflow.com/questions/3052579/explicit-specialization-in-non-namespace-scope Method 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 187 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

ProcessVirtualPoint_impl() [1/2]

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 204 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

ProcessVirtualPoint_impl() [2/2]

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

ThreadedExecution()

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

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

inlineoverrideprotected

Definition at line 233 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

ThreadedExecution_impl() [1/2]

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

ThreadedExecution_impl() [2/2]

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

void itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ThreadedExecution_impl ( IdentityHelper< ThreadedImageRegionPartitioner< TImageToImageMetric::VirtualImageDimension >>  , const DomainType &  virtualImageSubRegion, const ThreadIdType  threadId  )

protected

UpdateQueues()

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.

UpdateQueuesAtBeginningOfLine()

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

UpdateQueuesToNextScanWindow()

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

m_ANTSAssociate

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 301 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

m_ANTSAssociateOnceFlag

template<typename TDomainPartitioner , typename TImageToImageMetric , typename TNeighborhoodCorrelationMetric >

std::once_flag itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::m_ANTSAssociateOnceFlag {}

private

Definition at line 302 of file itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h.

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The documentation for this class was generated from the following file:

• itkANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader.h