ITK  4.1.0
Insight Segmentation and Registration Toolkit
Classes | Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | Protected Member Functions | Static Protected Member Functions | Protected Attributes | Static Protected Attributes | Private Member Functions | Private Attributes
itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage > Class Template Reference

#include <itkParallelSparseFieldLevelSetImageFilter.h>

+ Inheritance diagram for itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >:
+ Collaboration diagram for itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >:

List of all members.

Classes

struct  ParallelSparseFieldLevelSetThreadStruct
struct  ThreadData

Public Types

typedef SmartPointer< const SelfConstPointer
typedef
Superclass::FiniteDifferenceFunctionType 
FiniteDifferenceFunctionType
typedef OutputImageType::IndexType IndexType
typedef TInputImage InputImageType
typedef std::vector
< LayerPointerType
LayerListType
typedef ObjectStore
< LayerNodeType
LayerNodeStorageType
typedef
ParallelSparseFieldLevelSetNode
< IndexType
LayerNodeType
typedef LayerType::Pointer LayerPointerType
typedef SparseFieldLayer
< LayerNodeType
LayerType
typedef
Superclass::NeighborhoodScalesType 
NeighborhoodScalesType
typedef Offset
< itkGetStaticConstMacro(ImageDimension) > 
OffsetType
typedef TOutputImage OutputImageType
typedef OutputImageType::PixelType PixelType
typedef SmartPointer< SelfPointer
typedef Superclass::RadiusType RadiusType
typedef
ParallelSparseFieldLevelSetImageFilter 
Self
typedef Image< StatusType,
itkGetStaticConstMacro(ImageDimension) > 
StatusImageType
typedef signed char StatusType
typedef
FiniteDifferenceImageFilter
< TInputImage, TOutputImage > 
Superclass
typedef OutputImageType::RegionType ThreadRegionType
typedef Superclass::TimeStepType TimeStepType
typedef OutputImageType::ValueType ValueType

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother (void) const
LayerPointerType GetActiveListForIndex (const IndexType index)
virtual const char * GetNameOfClass () const
 typedef (Concept::EqualityComparable< PixelType >) OutputEqualityComparableCheck
 typedef (Concept::Convertible< double, PixelType >) DoubleConvertibleToOutputCheck
 typedef (Concept::OStreamWritable< PixelType >) OutputOStreamWritableCheck
virtual void SetNumberOfLayers (StatusType _arg)
virtual StatusType GetNumberOfLayers () const
virtual void SetIsoSurfaceValue (ValueType _arg)
virtual ValueType GetIsoSurfaceValue () const

Static Public Member Functions

static Pointer New ()

Static Public Attributes

static const unsigned int ImageDimension = TOutputImage::ImageDimension

Protected Member Functions

void AllocateUpdateBuffer ()
void ApplyUpdate (const TimeStepType &)
TimeStepType CalculateChange ()
virtual void CheckLoadBalance ()
void ClearInterNeighborNodeTransferBufferLayers (ThreadIdType ThreadId, unsigned int InOrOut, unsigned int BufferLayerNumber)
void ClearList (ThreadIdType ThreadId, LayerPointerType ListPtr)
void ComputeInitialThreadBoundaries ()
void ConstructActiveLayer ()
void ConstructLayer (const StatusType &from, const StatusType &to)
void CopyInputToOutput ()
void CopyInsertInterNeighborNodeTransferBufferLayers (ThreadIdType ThreadId, LayerPointerType InputList, unsigned int InOrOut, unsigned int BufferLayerNumber)
void CopyInsertList (ThreadIdType ThreadId, LayerPointerType FromListPtr, LayerPointerType ToListPtr)
void DeallocateData ()
virtual void GenerateData ()
unsigned int GetThreadNumber (unsigned int splitAxisValue)
void GetThreadRegionSplitByBoundary (ThreadIdType ThreadId, ThreadRegionType &ThreadRegion)
void GetThreadRegionSplitUniformly (ThreadIdType ThreadId, ThreadRegionType &ThreadRegion)
void Initialize ()
void InitializeActiveLayerValues ()
virtual void InitializeBackgroundPixels ()
void Iterate ()
void ProcessStatusList (LayerType *InputList, const StatusType &ChangeToStatus, const StatusType &SearchForStatus, ThreadIdType ThreadId)
void PropagateAllLayerValues ()
void PropagateLayerValues (const StatusType &from, const StatusType &to, const StatusType &promote, unsigned int InOrOut)
void SignalNeighbor (unsigned int SemaphoreArrayNumber, ThreadIdType ThreadId)
void SignalNeighborsAndWait (ThreadIdType ThreadId)
void ThreadedAllocateData (ThreadIdType ThreadId)
virtual void ThreadedApplyUpdate (const TimeStepType &dt, ThreadIdType ThreadId)
virtual TimeStepType ThreadedCalculateChange (ThreadIdType ThreadId)
virtual ValueType ThreadedCalculateUpdateValue (const ThreadIdType, const IndexType, const TimeStepType &dt, const ValueType &value, const ValueType &change)
void ThreadedInitializeData (ThreadIdType ThreadId, const ThreadRegionType &ThreadRegion)
virtual void ThreadedInitializeIteration (ThreadIdType ThreadId)
virtual void ThreadedLoadBalance (ThreadIdType ThreadId)
void ThreadedPostProcessOutput (const ThreadRegionType &regionToProcess)
void ThreadedProcessFirstLayerStatusLists (unsigned int InputLayerNumber, unsigned int OutputLayerNumber, const StatusType &SearchForStatus, unsigned int InOrOut, unsigned int BufferLayerNumber, ThreadIdType ThreadId)
void ThreadedProcessOutsideList (unsigned int InputLayerNumber, const StatusType &ChangeToStatus, unsigned int InOrOut, unsigned int BufferLayerNumber, ThreadIdType ThreadId)
virtual void ThreadedProcessPixelEnteringActiveLayer (const IndexType &, const ValueType &, ThreadIdType)
void ThreadedProcessStatusList (unsigned int InputLayerNumber, unsigned int OutputLayerNumber, const StatusType &ChangeToStatus, const StatusType &SearchForStatus, unsigned int InOrOut, unsigned int BufferLayerNumber, ThreadIdType ThreadId)
void ThreadedPropagateLayerValues (const StatusType &from, const StatusType &to, const StatusType &promote, unsigned int InorOut, ThreadIdType ThreadId)
void ThreadedUpdateActiveLayerValues (const TimeStepType &dt, LayerType *StatusUpList, LayerType *StatusDownList, ThreadIdType ThreadId)
void WaitForAll ()
void WaitForNeighbor (unsigned int SemaphoreArrayNumber, ThreadIdType ThreadId)
 ParallelSparseFieldLevelSetImageFilter ()
 ~ParallelSparseFieldLevelSetImageFilter ()
virtual void PrintSelf (std::ostream &os, Indent indent) const

Static Protected Member Functions

static ITK_THREAD_RETURN_TYPE IterateThreaderCallback (void *arg)

Protected Attributes

Barrier::Pointer m_Barrier
unsigned int * m_Boundary
bool m_BoundaryChanged
double m_ConstantGradientValue
ThreadDatam_Data
int * m_GlobalZHistogram
bool m_InterpolateSurfaceLocation
ValueType m_IsoSurfaceValue
LayerNodeStorageType::Pointer m_LayerNodeStore
LayerListType m_Layers
unsigned int * m_MapZToThreadNumber
ParallelSparseFieldCityBlockNeighborList
< NeighborhoodIterator
< OutputImageType > > 
m_NeighborList
StatusType m_NumberOfLayers
ThreadIdType m_NumOfThreads
OutputImageType::Pointer m_OutputImage
OutputImageType::Pointer m_OutputImageTemp
OutputImageType::Pointer m_ShiftedImage
unsigned int m_SplitAxis
StatusImageType::Pointer m_StatusImage
StatusImageType::Pointer m_StatusImageTemp
bool m_Stop
int * m_ZCumulativeFrequency
unsigned int m_ZSize

Static Protected Attributes

static StatusType m_StatusActiveChangingDown
static StatusType m_StatusActiveChangingUp
static StatusType m_StatusBoundaryPixel
static StatusType m_StatusChanging
static StatusType m_StatusNull
static ValueType m_ValueOne
static ValueType m_ValueZero

Private Member Functions

void operator= (const Self &)
 ParallelSparseFieldLevelSetImageFilter (const Self &)

Private Attributes

bool m_BoundsCheckingActive

Detailed Description

template<class TInputImage, class TOutputImage>
class itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >

This class implements a finite difference partial differential equation solver for evolving surfaces embedded in volumes as level-sets.

The ``sparse field'' approach to the level-set model is a logical extension of the classical narrow band technique, which seeks to minimize computational effort by restricting calculations to those pixels in a region of interest around the moving surface (the $k$-level curve). The sparse field method uses a narrow band that is exactly the width needed to calculate changes on the level curve for the next time step. Because the band of grid points under consideration is so sparse, this approach has several advantages: the algorithm does exactly the number of calculations needed to determine the next position of the $k$-level curve, and the distance transform around the level curve can be recomputed at each iteration.
The sparse field algorithm works by constructing a linked list of indicies that are adjacent to the $k$-level set. These indicies are called the ``active set''. The values at these active set indicies define the position of the $k$-level curve. The active set indicies are shifted to follow the distance transform embedding of the $k$-level curve as their values move in and out of a fixed numerical range about $k$. In this way, the active set is maintained as only those pixels adjacent to the evolving surface. Calculations are then done only at indicies contained in the active set.
The city-block neighborhoods of the active set indicies are maintained as separate lists called ``layers''. At each iteration, the values at the layers are reinitialized as the distance transform from the active set. The number of layers can be adjusted according to the footprint needed for the calculations on the level curve.
Briefly, the sparse field solver algorithm is as follows:
1. For each active layer index $x_j$: Compute the change at $u_{x_j}$, the grid point in the embedding, based on local geometry and external forces and using a stable numerical scheme.

2. For each active layer index $x_j$, add the change to the grid point value and redefine the active set indicies and those of its layers based on any value changes which have moved outside of the numerical range allowed for the active set.

3. Starting with the first layers adjacent to the active set and moving outwards, reconstruct the distance transform by setting values in the layers according to their neighbors. At the very outer layers, add or remove indicies which have come into or moved out of the sparse field.

HOW TO USE THIS CLASS
Typically, this class should be subclassed with additional functionality for specific applications. It is possible, however to use this solver as a filter directly by instantiating it and supplying it with an appropriate LevelSetFunction object via the SetDifferenceFunction method. See the subclasses and their associated documentation for more information on using this class. Also see the FiniteDifferenceImageFilter documentation for a general overview of this class of solvers.
INPUTS
This filter takes an itk::Image as input. The appropriate type of input image is entirely determined by the application. As a rule, however, the input type is immediately converted to the output type before processing. This is because the input is not assumed to be a real value type and must be converted to signed, real values for the calculations. The input values will also be shifted by the $k$ isosurface value so that the algorithm only needs to consider the zero level set.
OUTPUTS
The output of the filter is the distance transform embedding of the isosurface as the zero level set. Values outside the surface will be negative and values inside the surface will be positive. The distance transform only holds for those indicies in layers around the active layer. Elsewhere, the values are a fixed positive or negative that is one greater than the layer of greatest magnitude. In other words, if there are three layers, then inside values increase only to 4.0 and outside values only to -4.0.
PARAMETERS
The NumberOfLayers parameter controls the number of layers inside and outside of the active set (see description above). The sparse field will contain 2*NumberOfLayers+1 lists of indices: the active set and city block neighbors inside and outside the active set. It is important to specify enough layers to cover the footprint of your calculations. Curvature calculations in three dimensions, for example, require 3 layers. In two dimensions, a minimum of 2 layers is probably required. Higher order derivatives and other geometrical measures may require more layers. If too few layers are specified, then the calculations will pull values from the background, which may consist of arbitrary or random values.
The IsoSurfaceValue indicates which value in the input represents the interface of interest. By default, this value is zero. When the solver initializes, it will subtract the IsoSurfaceValue from all values, in the input, shifting the isosurface of interest to zero in the output.
IMPORTANT!
Read the documentation for FiniteDifferenceImageFilter before attempting to use this filter. The solver requires that you specify a FiniteDifferenceFunction to use for calculations. This is set using the method SetDifferenceFunction in the parent class.
REFERENCES
Whitaker, Ross. A Level-Set Approach to 3D Reconstruction from Range Data. International Journal of Computer Vision. V. 29 No. 3, 203-231. 1998.
Sethian, J.A. Level Set Methods. Cambridge University Press. 1996.

Definition at line 249 of file itkParallelSparseFieldLevelSetImageFilter.h.


Member Typedef Documentation

template<class TInputImage , class TOutputImage >
typedef SmartPointer< const Self > itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ConstPointer
template<class TInputImage , class TOutputImage >
typedef Superclass::FiniteDifferenceFunctionType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::FiniteDifferenceFunctionType

The value type of the time step. This is distinct from PixelType because PixelType may often be a vector value, while the TimeStep is a scalar value.

Reimplemented from itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >.

Definition at line 262 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef OutputImageType::IndexType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::IndexType

Definition at line 275 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef TInputImage itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::InputImageType

Information derived from the image types.

Reimplemented from itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >.

Definition at line 270 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef std::vector< LayerPointerType > itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::LayerListType

A type for a list of LayerPointerTypes

Definition at line 295 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef ObjectStore< LayerNodeType > itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::LayerNodeStorageType

Memory pre-allocator used to manage layer nodes in a multithreaded environment.

Definition at line 306 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef ParallelSparseFieldLevelSetNode< IndexType > itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::LayerNodeType

Node type used in parallel sparse field layer lists.

Definition at line 288 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef LayerType::Pointer itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::LayerPointerType

Definition at line 292 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef SparseFieldLayer< LayerNodeType > itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::LayerType

A list type used in the algorithm.

Definition at line 291 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef Superclass::NeighborhoodScalesType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::NeighborhoodScalesType
template<class TInputImage , class TOutputImage >
typedef Offset< itkGetStaticConstMacro(ImageDimension) > itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::OffsetType

Definition at line 308 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef TOutputImage itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::OutputImageType

Superclass typedefs.

Reimplemented from itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >.

Definition at line 274 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef OutputImageType::PixelType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::PixelType
template<class TInputImage , class TOutputImage >
typedef SmartPointer< Self > itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::Pointer
template<class TInputImage , class TOutputImage >
typedef Superclass::RadiusType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::RadiusType
template<class TInputImage , class TOutputImage >
typedef ParallelSparseFieldLevelSetImageFilter itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::Self

Standard class typedefs

Reimplemented from itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >.

Definition at line 255 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef Image< StatusType, itkGetStaticConstMacro(ImageDimension) > itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::StatusImageType

The type of the image used to index status information. Necessary for the internals of the algorithm.

Definition at line 302 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef signed char itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::StatusType

Type used for storing status information

Definition at line 298 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef FiniteDifferenceImageFilter< TInputImage, TOutputImage > itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::Superclass
template<class TInputImage , class TOutputImage >
typedef OutputImageType::RegionType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ThreadRegionType

Definition at line 281 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef Superclass::TimeStepType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::TimeStepType

Typedefs from the superclass

Reimplemented from itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >.

Definition at line 261 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef OutputImageType::ValueType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ValueType

The data type used in numerical computations. Derived from the output image type.

Definition at line 285 of file itkParallelSparseFieldLevelSetImageFilter.h.


Constructor & Destructor Documentation

template<class TInputImage , class TOutputImage >
itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ParallelSparseFieldLevelSetImageFilter ( ) [protected]

End concept checking

template<class TInputImage , class TOutputImage >
itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::~ParallelSparseFieldLevelSetImageFilter ( ) [inline, protected]

End concept checking

Definition at line 346 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ParallelSparseFieldLevelSetImageFilter ( const Self ) [private]

Member Function Documentation

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::AllocateUpdateBuffer ( ) [inline, protected, virtual]

Reserves memory in the update buffer

Implements itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >.

Definition at line 433 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ApplyUpdate ( const TimeStepType ) [inline, protected, virtual]

This method is not implemented or necessary for this solver

Implements itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >.

Definition at line 545 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
TimeStepType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::CalculateChange ( ) [inline, protected, virtual]

This method is not implemented or necessary for this solver

Implements itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >.

Definition at line 552 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
virtual void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::CheckLoadBalance ( ) [protected, virtual]

Check if the load is fairly balanced among the threads. This is performed by just one thread while all other threads wait. This need NOT be performed every iteration because the level-set surface moves slowly and it is correct to believe that during an iteration the movement is small enough that the small gain obtained by load balancing (if any) does not warrant the overhead for calling this method. How often this is done is controlled by a parameter LOAD_BALANCE_ITERATION_FREQUENCY which is defined in the IterateThreaderCallback() function. A parameter that defines a degree of unbalancedness of the load among threads is MAX_PIXEL_DIFFERENCE_PERCENT which is defined in CheckLoadBalance().

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ClearInterNeighborNodeTransferBufferLayers ( ThreadIdType  ThreadId,
unsigned int  InOrOut,
unsigned int  BufferLayerNumber 
) [protected]

Delete all nodes in a thread's own lists which its used to transfer nodes to neighboring threads.

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ClearList ( ThreadIdType  ThreadId,
LayerPointerType  ListPtr 
) [protected]

Delete all nodes in the List

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ComputeInitialThreadBoundaries ( ) [protected]

This performs the initial load distribution among the threads. Every thread gets a slab of the data to work on. The slabs created along a specific dimension. Load balancing is performed along the greatest numbered dimension (i.e. the 3rd dimension in the 3D case and the 2nd dimension in the 2D case). During the initializing of the sparse field layer an histogram is computed that stores the number of nodes in the active set for each index along the chosen dimension. This histogram is used to divide the work "equally" among threads so that each thread approximately get the same number of nodes to process.

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ConstructActiveLayer ( ) [protected]

Constructs the active layer and initialize the first layers inside and outside of the active layer. The active layer defines the position of the zero level set by its values, which are constrained within a range around zero.

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ConstructLayer ( const StatusType from,
const StatusType to 
) [protected]

Initializes a layer of the sparse field using a previously initialized layer. Builds the list of nodes in m_Layer[to] using m_Layer[from]. Marks values in the m_StatusImage.

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::CopyInputToOutput ( ) [protected, virtual]

Copies the input to the output image. Processing occurs on the output image, so the data type of the output image determines the precision of the calculations (i.e. double or float). This method overrides the parent class method to do some additional processing.

Implements itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::CopyInsertInterNeighborNodeTransferBufferLayers ( ThreadIdType  ThreadId,
LayerPointerType  InputList,
unsigned int  InOrOut,
unsigned int  BufferLayerNumber 
) [protected]

Make a copy of the nodes given to one thread by its neighbors to process and insert them into the thread's own list.

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::CopyInsertList ( ThreadIdType  ThreadId,
LayerPointerType  FromListPtr,
LayerPointerType  ToListPtr 
) [protected]

Make a copy of the nodes in the FromList and insert them into the ToList.

template<class TInputImage , class TOutputImage >
virtual::itk::LightObject::Pointer itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::CreateAnother ( void  ) const [virtual]

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::Object.

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::DeallocateData ( ) [protected]

Delete the data and synchronization primitives used by the threads during iterations.

template<class TInputImage , class TOutputImage >
virtual void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::GenerateData ( ) [protected, virtual]

The RMS change calculated from each update. Can be used by a subclass to determine halting criteria. Valid only for the previous iteration, not during the current iteration. Calculated in ApplyUpdate. Reimplement the GenerateData() function from FiniteDifferenceImageFilter for more effective multithreading

Reimplemented from itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >
LayerPointerType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::GetActiveListForIndex ( const IndexType  index) [inline]

Definition at line 322 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
virtual ValueType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::GetIsoSurfaceValue ( ) const [virtual]

Set/Get the value of the isosurface to use in the input image.

template<class TInputImage , class TOutputImage >
virtual const char* itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::GetNameOfClass ( ) const [virtual]

Run-time type information (and related methods).

Reimplemented from itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >
virtual StatusType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::GetNumberOfLayers ( ) const [virtual]

Set/Get the number of layers to use in the sparse field. Argument is the number of layers on ONE side of the active layer, so the total layers in the sparse field is 2 * NumberOfLayers + 1

template<class TInputImage , class TOutputImage >
unsigned int itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::GetThreadNumber ( unsigned int  splitAxisValue) [protected]

Find the thread to which a pixel belongs

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::GetThreadRegionSplitByBoundary ( ThreadIdType  ThreadId,
ThreadRegionType ThreadRegion 
) [protected]

Obtain a thread's region split as per the load balancing is done.

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::GetThreadRegionSplitUniformly ( ThreadIdType  ThreadId,
ThreadRegionType ThreadRegion 
) [protected]

Split the volume uniformly along the chosen dimension for post processing the output.

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::Initialize ( ) [protected, virtual]

Constructs the sparse field layers and initializes their values. Also creates data structures that are NOT local to a thread.

Reimplemented from itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::InitializeActiveLayerValues ( ) [protected]

Initializes the values of the active layer set.

template<class TInputImage , class TOutputImage >
virtual void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::InitializeBackgroundPixels ( ) [protected, virtual]

This method pre-processes pixels inside and outside the sparse field layers. The default is to set them to positive and negative values, respectively. This is not necessary as part of the calculations, but produces a more intuitive output for the user.

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::Iterate ( ) [protected]

This method calculates the change and does the update, i.e. one iteration of this iterative solver. A barrier class is used to synchronize execution and keep the CalculateChange and ApplyUpdate sections from executing simultaneously.

template<class TInputImage , class TOutputImage >
static ITK_THREAD_RETURN_TYPE itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::IterateThreaderCallback ( void *  arg) [static, protected]
template<class TInputImage , class TOutputImage >
static Pointer itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::New ( ) [static]

Method for creation through the object factory.

Reimplemented from itk::Object.

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::operator= ( const Self ) [private]

PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.

Reimplemented from itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >
virtual void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const [protected, virtual]

End concept checking

Reimplemented from itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ProcessStatusList ( LayerType InputList,
const StatusType ChangeToStatus,
const StatusType SearchForStatus,
ThreadIdType  ThreadId 
) [protected]
template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::PropagateAllLayerValues ( ) [protected]

Adjusts the values associated with all the index layers of the sparse field by propagating out one layer at a time from the active set. This method also takes care of deleting nodes from the layers which have been marked in the status image as having been moved to other layers.

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::PropagateLayerValues ( const StatusType from,
const StatusType to,
const StatusType promote,
unsigned int  InOrOut 
) [protected]

Adjusts the values in a single layer "to" using values in a neighboring layer "from". The list of indicies in "to" are traversed and assigned new values appropriately. Any indicies in "to" without neighbors in "from" are moved into the "promote" layer (or deleted if "promote" is greater than the number of layers). "InOrOut" == 1 indicates this propagation is inwards (more negative). "InOrOut" == 0 indicates this propagation is outwards (more positive).

template<class TInputImage , class TOutputImage >
virtual void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::SetIsoSurfaceValue ( ValueType  _arg) [virtual]

Set/Get the value of the isosurface to use in the input image.

template<class TInputImage , class TOutputImage >
virtual void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::SetNumberOfLayers ( StatusType  _arg) [virtual]

Set/Get the number of layers to use in the sparse field. Argument is the number of layers on ONE side of the active layer, so the total layers in the sparse field is 2 * NumberOfLayers + 1

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::SignalNeighbor ( unsigned int  SemaphoreArrayNumber,
ThreadIdType  ThreadId 
) [protected]
template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::SignalNeighborsAndWait ( ThreadIdType  ThreadId) [protected]
template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ThreadedAllocateData ( ThreadIdType  ThreadId) [protected]

Each thread allocates and initializes the data it will use by itself. This maintains the memory locality of data w.r.t. the thread in a shared memory environment.

template<class TInputImage , class TOutputImage >
virtual void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ThreadedApplyUpdate ( const TimeStepType dt,
ThreadIdType  ThreadId 
) [protected, virtual]

Does the actual work of updating the output from the UpdateContainer over an output region supplied by the multithreading mechanism.

template<class TInputImage , class TOutputImage >
virtual TimeStepType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ThreadedCalculateChange ( ThreadIdType  ThreadId) [protected, virtual]

This method does the actual work of calculating change over a region supplied by the multithreading mechanism.

template<class TInputImage , class TOutputImage >
virtual ValueType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ThreadedCalculateUpdateValue ( const ThreadIdType  ,
const IndexType  ,
const TimeStepType dt,
const ValueType value,
const ValueType change 
) [inline, protected, virtual]

This method allows a subclass to override the way in which updates to output values are applied during each iteration. The default simply follows the standard finite difference scheme of scaling the change by the timestep and adding to the value of the previous iteration.

Definition at line 527 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ThreadedInitializeData ( ThreadIdType  ThreadId,
const ThreadRegionType ThreadRegion 
) [protected]
template<class TInputImage , class TOutputImage >
virtual void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ThreadedInitializeIteration ( ThreadIdType  ThreadId) [protected, virtual]

If child classes need an entry point to the start of every iteration step they can override this method. This method is defined but empty in this class.

template<class TInputImage , class TOutputImage >
virtual void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ThreadedLoadBalance ( ThreadIdType  ThreadId) [protected, virtual]

Redistribute an load among the threads to obtain a more balanced load distribution. This is performed in parallel by all the threads.

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ThreadedPostProcessOutput ( const ThreadRegionType regionToProcess) [protected]

Assign background pixels INSIDE the sparse field layers to a new level set with value less than the innermost layer. Assign background pixels OUTSIDE the sparse field layers to a new level set with value greater than the outermost layer.

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ThreadedProcessFirstLayerStatusLists ( unsigned int  InputLayerNumber,
unsigned int  OutputLayerNumber,
const StatusType SearchForStatus,
unsigned int  InOrOut,
unsigned int  BufferLayerNumber,
ThreadIdType  ThreadId 
) [protected]

Performs two tasks. The situation here is that ThreadedProcessStatusList has been called just once after the active layer values have been updated and the UpLists and DownLists formed. Some nodes are now moving into the active layer. The two tasks performed are: 1. modify the status-image like it is performed by the ThreadedProcessStatusList. 2. Update the values in the output-image for those nodes that are moving IN the active layer.

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ThreadedProcessOutsideList ( unsigned int  InputLayerNumber,
const StatusType ChangeToStatus,
unsigned int  InOrOut,
unsigned int  BufferLayerNumber,
ThreadIdType  ThreadId 
) [protected]

Push each index in the input list into its appropriate status layer (ChangeToStatus) and ... ... update the status image value at that index

template<class TInputImage , class TOutputImage >
virtual void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ThreadedProcessPixelEnteringActiveLayer ( const IndexType ,
const ValueType ,
ThreadIdType   
) [protected, virtual]
template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ThreadedProcessStatusList ( unsigned int  InputLayerNumber,
unsigned int  OutputLayerNumber,
const StatusType ChangeToStatus,
const StatusType SearchForStatus,
unsigned int  InOrOut,
unsigned int  BufferLayerNumber,
ThreadIdType  ThreadId 
) [protected]

Push each index in the input list into its appropriate status layer (ChangeToStatus) and update the status image value at that index. Also examine the neighbors of the index, (with status SearchForStatus) to determine which need to go onto the output list.

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ThreadedPropagateLayerValues ( const StatusType from,
const StatusType to,
const StatusType promote,
unsigned int  InorOut,
ThreadIdType  ThreadId 
) [protected]
template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ThreadedUpdateActiveLayerValues ( const TimeStepType dt,
LayerType StatusUpList,
LayerType StatusDownList,
ThreadIdType  ThreadId 
) [protected]

1. Updates the values (in the output-image) of the nodes in the active layer that are moving OUT of the active layer. These values are used in the ThreadedProcessFirstLayerStatusLists() method to assign values for new nodes that are moving IN the active layer. 2. This function also constructs the up/down lists for nodes that are moving out of the active layer.

template<class TInputImage , class TOutputImage >
itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::typedef ( Concept::EqualityComparable< PixelType )

Begin concept checking This class requires OutputEqualityComparableCheck in the form of ( Concept::EqualityComparable< PixelType > )

template<class TInputImage , class TOutputImage >
itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::typedef ( Concept::Convertible< double, PixelType )

This class requires DoubleConvertibleToOutputCheck in the form of ( Concept::Convertible< double, PixelType > )

template<class TInputImage , class TOutputImage >
itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::typedef ( Concept::OStreamWritable< PixelType )

This class requires OutputOStreamWritableCheck in the form of ( Concept::OStreamWritable< PixelType > )

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::WaitForAll ( ) [protected]

Thread synchronization methods.

template<class TInputImage , class TOutputImage >
void itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::WaitForNeighbor ( unsigned int  SemaphoreArrayNumber,
ThreadIdType  ThreadId 
) [protected]

Member Data Documentation

template<class TInputImage , class TOutputImage >
const unsigned int itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ImageDimension = TOutputImage::ImageDimension [static]

Dimensionality of input and output data is assumed to be the same.

Reimplemented from itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >.

Definition at line 277 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
Barrier::Pointer itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_Barrier [protected]

A global barrier used for synchronization between all threads.

Definition at line 715 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
unsigned int* itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_Boundary [protected]

The boundaries defining thread regions

Definition at line 701 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
bool itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_BoundaryChanged [protected]

A boolean variable stating if the boundaries had been changed during CheckLoadBalance()

Definition at line 698 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
bool itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_BoundsCheckingActive [private]

This flag is true when methods need to check boundary conditions and false when methods do not need to check for boundary conditions.

Definition at line 788 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
double itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_ConstantGradientValue [protected]

The constant gradient to maintain between isosurfaces in the spare-field of the level-set image. This value defaults to 1.0

Definition at line 356 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
ThreadData* itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_Data [protected]

An array storing the individual (local) data structures for each thread.

Definition at line 767 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
int* itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_GlobalZHistogram [protected]

Histogram of number of pixels in each Z plane for the entire 3D volume

Definition at line 704 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
bool itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_InterpolateSurfaceLocation [protected]

This flag tells the solver whether or not to interpolate for the actual surface location when calculating change at each active layer node. By default this is turned on. Subclasses which do not sample propagation (speed), advection, or curvature terms should turn this flag off.

Definition at line 777 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
ValueType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_IsoSurfaceValue [protected]

The value in the input which represents the isosurface of interest.

Definition at line 415 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
LayerNodeStorageType::Pointer itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_LayerNodeStore [protected]

Storage for layer node objects.

Definition at line 412 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
LayerListType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_Layers [protected]

An array which contains all of the layers needed in the sparse field. Layers are organized as follows: m_Layer[0] = active layer, m_Layer[i:odd] = inside layer (i+1)/2, m_Layer[i:even] = outside layer i/2. This is used only during the initialization of the level set.

Definition at line 394 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
unsigned int* itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_MapZToThreadNumber [protected]

The mapping from a z-value to the thread in whose region the z-value lies

Definition at line 708 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
ParallelSparseFieldCityBlockNeighborList< NeighborhoodIterator< OutputImageType > > itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_NeighborList [protected]

Connectivity information for examining neighbor pixels.

Definition at line 352 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
StatusType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_NumberOfLayers [protected]

The number of layers to use in the sparse field. Sparse field will consist of m_NumberOfLayers layers on both sides of a single active layer. This active layer is the interface of interest, i.e. the zero level set.

Definition at line 400 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
ThreadIdType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_NumOfThreads [protected]

For debugging. Writes the active layer set (grid-points closest to evolving interface) to a file. The number of threads to use.

Definition at line 688 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
OutputImageType::Pointer itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_OutputImage [protected]

Definition at line 404 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
OutputImageType::Pointer itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_OutputImageTemp [protected]

Definition at line 409 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
OutputImageType::Pointer itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_ShiftedImage [protected]

This image is a copy of the input with m_IsoSurfaceValue subtracted from each pixel. This way we only need to consider the zero level set in our calculations. Makes the implementation easier and more efficient. This is used only during the initialization of the level set.

Definition at line 388 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
unsigned int itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_SplitAxis [protected]

The dimension along which to distribute the load.

Definition at line 691 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
StatusType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_StatusActiveChangingDown [static, protected]

Special status value which indicates a pending change to a more negative sparse field.

Definition at line 370 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
StatusType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_StatusActiveChangingUp [static, protected]

Special status value which indicates a pending change to a more positive sparse field.

Definition at line 366 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
StatusType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_StatusBoundaryPixel [static, protected]

Special status value which indicates a pixel is on the boundary of the image

Definition at line 382 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
StatusType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_StatusChanging [static, protected]

Special status value which indicates pending change to another sparse field layer.

Definition at line 378 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
StatusImageType::Pointer itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_StatusImage [protected]

An image of status values used internally by the algorithm.

Definition at line 403 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
StatusImageType::Pointer itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_StatusImageTemp [protected]

Images used temporarily during the initialization of the thread data structures.

Definition at line 408 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
StatusType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_StatusNull [static, protected]

Special status value used as a default for indicies which have no meaningful status.

Definition at line 374 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
bool itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_Stop [protected]

Used to check if there are too few pixels remaining. If yes, then we can stop iterating.

Definition at line 771 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
ValueType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_ValueOne [static, protected]

Multiplicative identity of the ValueType.

Definition at line 359 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
ValueType itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_ValueZero [static, protected]

Additive identity of the ValueType.

Definition at line 362 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
int* itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_ZCumulativeFrequency [protected]

Cumulative frequency of number of pixels in each Z plane for the entire 3D volume

Definition at line 712 of file itkParallelSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TOutputImage >
unsigned int itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_ZSize [protected]

The length of the dimension along which to distribute the load.

Definition at line 694 of file itkParallelSparseFieldLevelSetImageFilter.h.


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