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itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField > Class Template Reference
[Deformable Registration Methods]

#include <itkLevelSetMotionRegistrationFilter.h>

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Detailed Description

template<class TFixedImage, class TMovingImage, class TDeformationField>
class itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >

Deformably register two images using level set motion.

LevelSetMotionFilter implements a deformable registration algorithm that aligns a fixed and a moving image under level set motion. The equations of motion are similar to those of the DemonsRegistrationFilter. The main differences are: (1) Gradients of the moving image are calculated on a smoothed image while intensity difference are measured on the original images (2) Magnitude of the motion vector is a function of the differences in intensity between the fixed and moving pixel. An adaptive timestep is calculated based on the maximum motion vector over the entire field to ensure stability. The timestep also implictly converts the motion vector measured in units of intensity to a vector measured in physical units. Demons, on the other hand, defines its motion vectors as function of both the intensity differences and gradient magnitude at each respective pixel. Consider two separate pixels with the same intensity differences between the corresponding fixed and moving pixel pairs. In demons, the motion vector of the pixel over a low gradient region will be larger than the motion vector of the pixel over a large gradient region. This leads to an unstable vector field. In the levelset approach, the motion vectors will be proportional to the gradients, scaled by the maximum gradient over the entire field. The pixel with at the lower gradient position will more less than the pixel at the higher gradient position. (3) Gradients are calculated using minmod finite difference instead of using central differences.

A deformation field is represented as a image whose pixel type is some vector type with at least N elements, where N is the dimension of the fixed image. The vector type must support element access via operator []. It is assumed that the vector elements behave like floating point scalars.

This class is templated over the fixed image type, moving image type and the deformation field type.

The input fixed and moving images are set via methods SetFixedImage and SetMovingImage respectively. An initial deformation field maybe set via SetInitialDeformationField or SetInput. If no initial field is set, a zero field is used as the initial condition.

The algorithm has one parameters: the number of iteration to be performed.

The output deformation field can be obtained via methods GetOutput or GetDeformationField.

This class make use of the finite difference solver hierarchy. Update for each iteration is computed in LevelSetMotionFunction.

Warning:
This filter assumes that the fixed image type, moving image type and deformation field type all have the same number of dimensions.
B.C. Vemuri, J. Ye, Y. Chen, C.M. Leonard. "Image registration via level-set motion: applications to atlas-based segmentation". Medical Image Analysis. Vol. 7. pp. 1-20. 2003.

See also:
LevelSetMotionRegistrationFunction

DemonsRegistrationFilter MultiThreaded

Definition at line 89 of file itkLevelSetMotionRegistrationFilter.h.

Public Types

typedef SmartPointer< const
Self
ConstPointer
typedef DataObject::Pointer DataObjectPointer
typedef std::vector< DataObjectPointerDataObjectPointerArray
typedef Superclass::DeformationFieldPointer DeformationFieldPointer
typedef Superclass::DeformationFieldType DeformationFieldType
typedef Superclass::FiniteDifferenceFunctionType FiniteDifferenceFunctionType
typedef FixedImageType::ConstPointer FixedImageConstPointer
typedef Superclass::FixedImagePointer FixedImagePointer
typedef Superclass::FixedImageType FixedImageType
typedef InputImageType::ConstPointer InputImageConstPointer
typedef InputImageType::PixelType InputImagePixelType
typedef InputImageType::Pointer InputImagePointer
typedef InputImageType::RegionType InputImageRegionType
typedef Superclass::InputImageType InputImageType
typedef LevelSetMotionRegistrationFunction<
FixedImageType, MovingImageType,
DeformationFieldType
LevelSetMotionFunctionType
typedef MovingImageType::ConstPointer MovingImageConstPointer
typedef Superclass::MovingImagePointer MovingImagePointer
typedef Superclass::MovingImageType MovingImageType
typedef Superclass::OutputImagePixelType OutputImagePixelType
typedef Superclass::OutputImagePointer OutputImagePointer
typedef Superclass::OutputImageRegionType OutputImageRegionType
typedef Superclass::OutputImageType OutputImageType
typedef PDEDeformableRegistrationFunction<
FixedImageType, MovingImageType,
DeformationFieldType
PDEDeformableRegistrationFunctionType
typedef Superclass::PixelType PixelType
typedef SmartPointer< SelfPointer
typedef LevelSetMotionRegistrationFilter Self
typedef PDEDeformableRegistrationFilter<
TFixedImage, TMovingImage,
TDeformationField > 
Superclass
typedef Superclass::TimeStepType TimeStepType
typedef OutputImageType UpdateBufferType

Public Member Functions

virtual void AbortGenerateDataOff ()
virtual void AbortGenerateDataOn ()
Set Get the parameter alpha
Alpha is added to the calculated
*gradient magnitude prior
to normalizing the gradient
to protect *against numerical
instability as the gradient
magnitude *approaches zero
This should be set as a small
fraction of the *intensity
dynamic for instance Default
is the * 
absolute (not percentage) value of 0.1.*/virtual void SetAlpha(double)
Can the filter run in place
To do the filter s first input
*and output must have the
same dimension and pixel type
This *method can be used in
conjunction with the InPlace
ivar to *determine whether
a particular use of the filter
is really *running in place
Some filters may be able to
optimize their *operation
if the InPlace is true and
CanRunInPlace is true *bool 
CanRunInPlace () const
virtual LightObject::Pointer CreateAnother () const
virtual void DebugOff () const
virtual void DebugOn () const
virtual void Delete ()
virtual void EnlargeOutputRequestedRegion (DataObject *)
virtual const bool & GetAbortGenerateData ()
virtual double GetAlpha () const
CommandGetCommand (unsigned long tag)
bool GetDebug () const
DeformationFieldTypeGetDeformationField ()
virtual const FiniteDifferenceFunctionType::PointerGetDifferenceFunction () const
virtual const unsigned int & GetElapsedIterations ()
const FixedImageTypeGetFixedImage (void) const
virtual double GetGradientMagnitudeThreshold () const
virtual bool GetInPlace ()
const InputImageTypeGetInput (unsigned int idx)
const InputImageTypeGetInput (void)
DataObjectPointerArrayGetInputs ()
virtual double GetIntensityDifferenceThreshold () const
virtual double GetMaximumError ()
virtual unsigned int GetMaximumKernelWidth ()
virtual const double & GetMaximumRMSError ()
const MetaDataDictionaryGetMetaDataDictionary (void) const
MetaDataDictionaryGetMetaDataDictionary (void)
virtual double GetMetric () const
const MovingImageTypeGetMovingImage (void) const
virtual unsigned long GetMTime () const
MultiThreaderGetMultiThreader ()
virtual const char * GetNameOfClass () const
std::vector< DataObjectPointer
>::size_type 
GetNumberOfInputs () const
virtual const unsigned int & GetNumberOfIterations ()
std::vector< DataObjectPointer
>::size_type 
GetNumberOfOutputs () const
virtual const int & GetNumberOfThreads ()
virtual std::vector< SmartPointer<
DataObject > >::size_type 
GetNumberOfValidRequiredInputs () const
OutputImageTypeGetOutput (unsigned int idx)
Get the output data of this
process object The output
of this *function is not valid
until an appropriate either
explicitly or implicitly Both
the filter *itself and the
data object have and both
*methods update the data Here
are three ways to use
GetOutput () and make sure the data is valid.In these *examples
Return an array with all the
outputs of this process object
*This is useful for tracing
forward in the pipeline to
contruct *graphs etc *DataObjectPointerArray
GetOutputs ()
virtual const float & GetProgress ()
virtual int GetReferenceCount () const
virtual const bool & GetReleaseDataBeforeUpdateFlag ()
virtual bool GetReleaseDataFlag () const
virtual const double & GetRMSChange ()
virtual bool GetSmoothDeformationField ()
virtual bool GetSmoothUpdateField ()
const double * GetStandardDeviations (void)
virtual const FilterStateType & GetState ()
const double * GetUpdateFieldStandardDeviations (void)
virtual const bool & GetUseImageSpacing ()
virtual void GraftNthOutput (unsigned int idx, DataObject *output)
virtual void GraftOutput (DataObject *output)
bool HasObserver (const EventObject &event) const
Get the output data of this
process object The output
of this *function is not valid
until an appropriate either
explicitly or implicitly Both
the filter *itself and the
data object have and both
*methods update the data Here
are three ways to use *a image
is a pointer to some Image
and the *particular ProcessObjects
involved are filters The same
*examples apply to non 
image (e.g.Mesh) data as well.**\code *anotherFilter->SetInput(someFilter->GetOutput())
virtual void InPlaceOff ()
virtual void InPlaceOn ()
void InvokeEvent (const EventObject &) const
void InvokeEvent (const EventObject &)
 itkStaticConstMacro (OutputImageDimension, unsigned int, TDeformationField::ImageDimension)
ImageDimension constants * itkStaticConstMacro (InputImageDimension, unsigned int, TDeformationField::ImageDimension)
 itkStaticConstMacro (ImageDimension, unsigned int, OutputImageType::ImageDimension)
 itkStaticConstMacro (ImageDimension, unsigned int, Superclass::ImageDimension)
virtual DataObjectPointer MakeOutput (unsigned int idx)
virtual void Modified () const
virtual void PopBackInput ()
virtual void PopFrontInput ()
virtual void PrepareOutputs ()
void Print (std::ostream &os, Indent indent=0) const
virtual void PropagateRequestedRegion (DataObject *output)
Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all
especially *filters with different
types of inputs These routines
follow *the semantics of STL
**The routines are useful
for applications that need
to process *rolling sets of
images For if an application
has *images and they need
to run a filter on then *run
the filter on then run the
filter on the application
can accomplish this by popping
*an input off the front of
the input list and push a
new image *onto the back of
input list this only makes
sense for *filters that single
type of input **Other uses
are also possible For a single
input pushing *and popping
inputs allow the application
to temporarily replace *an
input to a filter **virtual
void 
PushBackInput (const InputImageType *image)
virtual void PushFrontInput (const InputImageType *image)
virtual void Register () const
virtual void ReleaseDataBeforeUpdateFlagOff ()
virtual void ReleaseDataBeforeUpdateFlagOn ()
void ReleaseDataFlagOff ()
void ReleaseDataFlagOn ()
void RemoveAllObservers ()
void RemoveObserver (unsigned long tag)
virtual void ResetPipeline ()
virtual void SetAbortGenerateData (bool _arg)
void SetDebug (bool debugFlag) const
virtual void SetDifferenceFunction (FiniteDifferenceFunctionType *_arg)
void SetFixedImage (const FixedImageType *ptr)
Set Get the threshold below
which the gradient magnitude
is *considered the zero vector
Default is e *virtual void 
SetGradientMagnitudeThreshold (double)
void SetInitialDeformationField (DeformationFieldType *ptr)
In place operation can be
turned on and off This only
has an *effect when the input
and output image type match
*virtual void 
SetInPlace (bool _arg)
virtual void SetInput (unsigned int, const TDeformationField *image)
Set Get the image input of
this process object *virtual
void 
SetInput (const InputImageType *image)
Set Get the desired maximum
error of the Guassian kernel
approximate *sa GaussianOperator
*virtual void 
SetMaximumError (double _arg)
Set Get the desired limits
of the Gaussian kernel width
*sa GaussianOperator *virtual
void 
SetMaximumKernelWidth (unsigned int _arg)
Set Get the maximum error
allowed in the solution This
may not be defined for all
solvers and its meaning may
change with the application
*virtual void 
SetMaximumRMSError (double _arg)
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
void SetMovingImage (const MovingImageType *ptr)
Set Get the number of iterations
that the filter will run
*virtual void 
SetNumberOfIterations (unsigned int _arg)
Get Set the number of threads
to create when executing
*virtual void 
SetNumberOfThreads (int _arg)
virtual void SetProgress (float _arg)
virtual void SetReferenceCount (int)
Turn on off the flags to control
whether the bulk data belonging
*to the outputs of this ProcessObject
are released after being
*used by a downstream ProcessObject
Default value is off Another
*options for controlling memory
utilization is the *ReleaseDataBeforeUpdateFlag
*virtual void 
SetReleaseDataFlag (bool flag)
Set Get the root mean squared
change of the previous iteration
May not be used by all solvers
*virtual void 
SetRMSChange (double _arg)
virtual void SetStandardDeviations (double value)
Set the Gaussian smoothing
standard deviations for the
*deformation field The values
are set with respect to pixel
*coordinates *virtual void 
SetStandardDeviations (double data[])
Set Get whether the deformation
field is smoothed *regularized
Smoothing the deformation
yields a solution *elastic
in nature If SmoothDeformationField
is then the *deformation field
is smoothed with a Gaussian
whose standard *deviations
are specified with 
SetStandardDeviations ()*/virtual void SetSmoothDeformationField(bool _arg)
Set Get the state of the filter
*virtual void 
SetState (FilterStateType _arg)
void SetStateToInitialized ()
void SetStateToUninitialized ()
virtual void SetUpdateFieldStandardDeviations (double value)
Set the Gaussian smoothing
standard deviations for the
update *field The values are
set with respect to pixel
coordinates *virtual void 
SetUpdateFieldStandardDeviations (double data[])
Set Get whether the update
field is smoothed *regularized
Smoothing the update field
yields a solution *viscous
in nature If SmoothUpdateField
is then the *update field
is smoothed with a Gaussian
whose standard *deviations
are specified with 
SetUpdateFieldStandardDeviations ()*/virtual void SetSmoothUpdateField(bool _arg)
Use the image spacing information
in calculations Use this option
if you *want derivatives in
physical space Default is
UseImageSpacingOff *virtual
void 
SetUseImageSpacing (bool _arg)
virtual void SmoothDeformationFieldOff ()
virtual void SmoothDeformationFieldOn ()
virtual void SmoothUpdateFieldOff ()
virtual void SmoothUpdateFieldOn ()
virtual void StopRegistration ()
virtual void UnRegister () const
*endcode *In the above the
two lines of code can be in
*either order **Note that
it may be more efficient to
*use a pipeline than to call 
Update () once for each filter in *turn.**For an image
*endcode *In the above the
two lines of code can be in
*either order **Note that 
Update () is not called automatically except within a *pipeline as in the first example.When\b streaming(using a *StreamingImageFilter) is activated
*endcode **code *someFilter Update ()
*image Update ()
*anotherFilter Update ()
Get the output data of this
process object The output
of this *function is not valid
until an appropriate either
explicitly or implicitly Both
the filter *itself and the
data object have 
Update () methods
Get the output data of this
process object The output
of this *function is not valid
until an appropriate 
Update () method has *been called
virtual void UpdateLargestPossibleRegion ()
virtual void UpdateOutputData (DataObject *output)
virtual void UpdateOutputInformation ()
void UpdateProgress (float amount)
virtual void UseImageSpacingOff ()
virtual void UseImageSpacingOn ()
Set Get the threshold below
which the absolute difference
of *intensity yields a match
When the intensities match
between a *moving and fixed
image the update 
vector (for that *iteration) will be the zero vector.Default is 0.001.*/virtual void SetIntensityDifferenceThreshold(double)

Static Public Member Functions

static void BreakOnError ()
static bool GetGlobalWarningDisplay ()
static void GlobalWarningDisplayOff ()
static void GlobalWarningDisplayOn ()
static Pointer New ()
This is a global flag that
controls whether any warning
*or error messages are displayed
*static void 
SetGlobalWarningDisplay (bool flag)

Public Attributes

Allow people to add remove
invoke observers(callbacks)
to any ITK *object.This is
an implementation of the subject/observer design *pattern.An
observer is added by specifying
an event to respond to *and
an itk unsigned lon 
AddObserver )(const EventObject &event, Command *) const
Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all
especially *filters with different
types of inputs These routines
follow *the semantics of STL
**The routines are useful
for applications that need
to process *rolling sets of
images For if an application
has *images and they need
to run a filter on then *run
the filter on then run the
filter on the application
can accomplish this by popping
*an input off the front of
the input list and push a
new image *onto the back of
input list 
Again
This is a global flag that
controls whether any 
debug
*endcode *In the above example
Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all
especially *filters with different
types of inputs These routines
follow *the semantics of STL
**The routines are useful
for applications that need
to process *rolling sets of
images For if an application
has *images and they need
to run a filter on then *run
the filter on then run the
filter on the application
can accomplish this by popping
*an input off the front of
the input list and push a
new image *onto the back of
input list this only makes
sense for *filters that single
type of input **Other uses
are also possible For a single
input 
filter
Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all 
filters
Set Get the standard deviation
used for smoothing the moving
*image prior to calculating
gradients The standard deviation
is *measured in physical virtual
units(for instance mm).Note
that this *smoothing value
is not to be confused with
the *PDEDeformableRegistrationFilter
doubl 
GetGradientSmoothingStandardDeviations )() const
image
*endcode **In this a someFilter
and a anotherFilter are said
*to constitute a b pipeline
**code
image
Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all
especially *filters with different
types of inputs These routines
follow *the semantics of STL
**The routines are useful
for applications that need
to process *rolling sets of
images For if an application
has *images and they need
to run a filter on then *run
the filter on then run the
filter on
images
Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all
especially *filters with different
types of inputs These routines
follow *the semantics of STL
**The routines are useful
for applications that need
to process *rolling sets of
images For if an application
has *images and they need
to run a filter on then *run
the filter on 
images
Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all
especially *filters with different
types of inputs These routines
follow *the semantics of STL
**The routines are useful
for applications that need
to process *rolling sets of
images For if an application
has *images and they need
to run a filter on 
images
Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all
especially *filters with different
types of inputs These routines
follow *the semantics of STL
**The routines are useful
for applications that need
to process *rolling sets of
images For 
instance
Get the output data of this
process object The output
of this *function is not valid
until an appropriate either
explicitly or implicitly Both
the filter *itself and the
data object have and both
*methods update the data Here
are three ways to use *a image
is a pointer to some Image 
object
Set Get whether the update
field is smoothed *regularized
Smoothing the update field
yields a solution *viscous
in nature If SmoothUpdateField
is 
on
Set Get whether the deformation
field is smoothed *regularized
Smoothing the deformation
yields a solution *elastic
in nature If SmoothDeformationField
is 
on
Set Get the threshold below
which the absolute difference
of *intensity yields a match
When the intensities match
between a *moving and fixed
image 
pixel
Set Get the parameter alpha
Alpha is added to the calculated
*gradient magnitude prior
to normalizing the gradient
to protect *against numerical
instability as the gradient
magnitude *approaches zero
This should be set as a small
fraction of the *intensity
dynamic 
range
*endcode *In the above the
two lines of code can be in
*either order **Note that
it may be more efficient to
*use a pipeline than to call
the data generated is for
the requested * 
Region
*endcode **In this situation
Can the filter run in place
To do 
so

Protected Types

typedef ImageToImageFilterDetail::ImageRegionCopier<
itkGetStaticConstMacro(OutputImageDimension),
itkGetStaticConstMacro(InputImageDimension) 
InputToOutputRegionCopierType )
typedef ImageToImageFilterDetail::ImageRegionCopier<
itkGetStaticConstMacro(InputImageDimension),
itkGetStaticConstMacro(OutputImageDimension) 
OutputToInputRegionCopierType )

Protected Member Functions

virtual void AddInput (DataObject *input)
virtual void AddOutput (DataObject *output)
virtual void AfterThreadedGenerateData ()
virtual void AllocateOutputs ()
virtual void ApplyUpdate (TimeStepType dt)
virtual void BeforeThreadedGenerateData ()
virtual void CacheInputReleaseDataFlags ()
virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
virtual void CopyInputToOutput ()
 DenseFiniteDifferenceImageFilter ()
virtual void GenerateData ()
virtual void GenerateInputRequestedRegion ()
virtual void GenerateOutputInformation ()
virtual void GenerateOutputRequestedRegion (DataObject *output)
const DataObjectGetInput (unsigned int idx) const
virtual const unsigned int & GetNumberOfRequiredInputs ()
virtual const unsigned int & GetNumberOfRequiredOutputs ()
const DataObjectGetOutput (unsigned int idx) const
virtual UpdateBufferTypeGetUpdateBuffer ()
virtual bool Halt ()
 ImageSource ()
 ImageToImageFilter ()
virtual void Initialize ()
virtual void InitializeIteration ()
 InPlaceImageFilter ()
 LevelSetMotionRegistrationFilter ()
virtual void PostProcessOutput ()
bool PrintObservers (std::ostream &os, Indent indent) const
void PrintSelf (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const
virtual void PropagateResetPipeline ()
**these methods end of hiding
the versions from the superclass
*ProcessObject whose arguments
are DataObjects we re expose
*the versions from ProcessObject
to avoid warnings about hiding
*methods from the superclass
*void 
PushBackInput (const DataObject *input)
PushBackInput ()
PushFronInput () in the public section force the *input to be the type expected by an ImageToImageFilter.However
void PushFrontInput (const DataObject *input)
virtual void ReleaseInputs ()
virtual void RemoveInput (DataObject *input)
virtual void RemoveOutput (DataObject *output)
virtual void RestoreInputReleaseDataFlags ()
Protected methods for setting
inputs *Subclasses make use
of them for setting input
*virtual void 
SetNthInput (unsigned int num, DataObject *input)
Protected methods for setting
outputs *Subclasses make use
of them for getting output
*virtual void 
SetNthOutput (unsigned int num, DataObject *output)
void SetNumberOfInputs (unsigned int num)
void SetNumberOfOutputs (unsigned int num)
virtual void SetNumberOfRequiredInputs (unsigned int _arg)
virtual void SetNumberOfRequiredOutputs (unsigned int _arg)
virtual void SmoothDeformationField ()
virtual void SmoothUpdateField ()
virtual int SplitRequestedRegion (int i, int num, OutputImageRegionType &splitRegion)
virtual void ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId)
 ~LevelSetMotionRegistrationFilter ()

Static Protected Member Functions

static ITK_THREAD_RETURN_TYPE ThreaderCallback (void *arg)

Protected Attributes

**these methods end of hiding
the versions from the superclass
*ProcessObject whose arguments
are DataObjects 
Here
TimeStamp m_OutputInformationMTime
int m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock
bool m_Updating
Methods invoked by virtual
Print() to print information
about the object *including
superclasses.Typically not
called by the user(use Print()*instead) but used in the
hierarchical print process
to combine the *output of
several classes.*/virtual
void PrintSelf(std voi 
PrintHeader )(std::ostream &os, Indent indent) const


Member Typedef Documentation

template<class TFixedImage, class TMovingImage, class TDeformationField>
typedef SmartPointer<const Self> itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::ConstPointer
 

Reimplemented from itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

Definition at line 99 of file itkLevelSetMotionRegistrationFilter.h.

typedef DataObject::Pointer itk::ImageSource< TDeformationField >::DataObjectPointer [inherited]
 

Smart Pointer type to a DataObject.

Reimplemented from itk::ProcessObject.

Definition at line 62 of file itkImageSource.h.

typedef std::vector<DataObjectPointer> itk::ProcessObject::DataObjectPointerArray [inherited]
 

STL Array of SmartPointers to DataObjects

Definition at line 103 of file itkProcessObject.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
typedef Superclass::DeformationFieldPointer itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::DeformationFieldPointer
 

Reimplemented from itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

Definition at line 123 of file itkLevelSetMotionRegistrationFilter.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
typedef Superclass::DeformationFieldType itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::DeformationFieldType
 

Deformation field type.

Reimplemented from itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

Definition at line 121 of file itkLevelSetMotionRegistrationFilter.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
typedef Superclass::FiniteDifferenceFunctionType itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::FiniteDifferenceFunctionType
 

FiniteDifferenceFunction type.

Reimplemented from itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

Definition at line 127 of file itkLevelSetMotionRegistrationFilter.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
typedef FixedImageType::ConstPointer itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::FixedImageConstPointer [inherited]
 

Definition at line 93 of file itkPDEDeformableRegistrationFilter.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
typedef Superclass::FixedImagePointer itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::FixedImagePointer
 

Reimplemented from itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

Definition at line 113 of file itkLevelSetMotionRegistrationFilter.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
typedef Superclass::FixedImageType itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::FixedImageType
 

FixedImage image type.

Reimplemented from itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

Definition at line 112 of file itkLevelSetMotionRegistrationFilter.h.

typedef InputImageType::ConstPointer itk::InPlaceImageFilter< TDeformationField , TDeformationField >::InputImageConstPointer [inherited]
 

Reimplemented from itk::ImageToImageFilter< TDeformationField, TDeformationField >.

Definition at line 84 of file itkInPlaceImageFilter.h.

typedef InputImageType::PixelType itk::InPlaceImageFilter< TDeformationField , TDeformationField >::InputImagePixelType [inherited]
 

Reimplemented from itk::ImageToImageFilter< TDeformationField, TDeformationField >.

Definition at line 86 of file itkInPlaceImageFilter.h.

typedef InputImageType::Pointer itk::InPlaceImageFilter< TDeformationField , TDeformationField >::InputImagePointer [inherited]
 

Reimplemented from itk::ImageToImageFilter< TDeformationField, TDeformationField >.

Definition at line 83 of file itkInPlaceImageFilter.h.

typedef InputImageType::RegionType itk::InPlaceImageFilter< TDeformationField , TDeformationField >::InputImageRegionType [inherited]
 

Reimplemented from itk::ImageToImageFilter< TDeformationField, TDeformationField >.

Definition at line 85 of file itkInPlaceImageFilter.h.

typedef Superclass::InputImageType itk::DenseFiniteDifferenceImageFilter< TDeformationField , TDeformationField >::InputImageType [inherited]
 

Convenient typedefs

Reimplemented from itk::FiniteDifferenceImageFilter< TDeformationField, TDeformationField >.

Definition at line 78 of file itkDenseFiniteDifferenceImageFilter.h.

typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension) itk::ImageToImageFilter< TDeformationField , TDeformationField >::InputToOutputRegionCopierType) [protected, inherited]
 

Typedef for the region copier function object that converts an input region to an output region.

Definition at line 163 of file itkImageToImageFilter.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
typedef LevelSetMotionRegistrationFunction<FixedImageType,MovingImageType, DeformationFieldType> itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::LevelSetMotionFunctionType
 

LevelSetMotionFilterFunction type.

Definition at line 131 of file itkLevelSetMotionRegistrationFilter.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
typedef MovingImageType::ConstPointer itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::MovingImageConstPointer [inherited]
 

Definition at line 98 of file itkPDEDeformableRegistrationFilter.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
typedef Superclass::MovingImagePointer itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::MovingImagePointer
 

Reimplemented from itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

Definition at line 117 of file itkLevelSetMotionRegistrationFilter.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
typedef Superclass::MovingImageType itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::MovingImageType
 

MovingImage image type.

Reimplemented from itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

Definition at line 116 of file itkLevelSetMotionRegistrationFilter.h.

typedef Superclass::OutputImagePixelType itk::InPlaceImageFilter< TDeformationField , TDeformationField >::OutputImagePixelType [inherited]
 

Reimplemented from itk::ImageSource< TDeformationField >.

Definition at line 79 of file itkInPlaceImageFilter.h.

typedef Superclass::OutputImagePointer itk::InPlaceImageFilter< TDeformationField , TDeformationField >::OutputImagePointer [inherited]
 

Reimplemented from itk::ImageSource< TDeformationField >.

Definition at line 77 of file itkInPlaceImageFilter.h.

typedef Superclass::OutputImageRegionType itk::InPlaceImageFilter< TDeformationField , TDeformationField >::OutputImageRegionType [inherited]
 

Superclass typedefs.

Reimplemented from itk::ImageToImageFilter< TDeformationField, TDeformationField >.

Definition at line 78 of file itkInPlaceImageFilter.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
typedef Superclass::OutputImageType itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::OutputImageType [inherited]
 

Types inherithed from the superclass

Reimplemented from itk::DenseFiniteDifferenceImageFilter< TDeformationField, TDeformationField >.

Definition at line 105 of file itkPDEDeformableRegistrationFilter.h.

typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension) itk::ImageToImageFilter< TDeformationField , TDeformationField >::OutputToInputRegionCopierType) [protected, inherited]
 

Typedef for the region copier function object that converts an output region to an input region.

Definition at line 168 of file itkImageToImageFilter.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
typedef PDEDeformableRegistrationFunction<FixedImageType,MovingImageType, DeformationFieldType> itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::PDEDeformableRegistrationFunctionType [inherited]
 

PDEDeformableRegistrationFilterFunction type.

Definition at line 113 of file itkPDEDeformableRegistrationFilter.h.

typedef Superclass::PixelType itk::DenseFiniteDifferenceImageFilter< TDeformationField , TDeformationField >::PixelType [inherited]
 

The pixel type of the output image will be used in computations. Inherited from the superclass.

Reimplemented from itk::FiniteDifferenceImageFilter< TDeformationField, TDeformationField >.

Definition at line 92 of file itkDenseFiniteDifferenceImageFilter.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
typedef SmartPointer<Self> itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::Pointer
 

Reimplemented from itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

Definition at line 98 of file itkLevelSetMotionRegistrationFilter.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
typedef LevelSetMotionRegistrationFilter itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::Self
 

Standard class typedefs.

Reimplemented from itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

Definition at line 95 of file itkLevelSetMotionRegistrationFilter.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
typedef PDEDeformableRegistrationFilter< TFixedImage, TMovingImage,TDeformationField> itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::Superclass
 

Reimplemented from itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

Definition at line 97 of file itkLevelSetMotionRegistrationFilter.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
typedef Superclass::TimeStepType itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::TimeStepType
 

Inherit types from superclass.

Reimplemented from itk::DenseFiniteDifferenceImageFilter< TDeformationField, TDeformationField >.

Definition at line 106 of file itkLevelSetMotionRegistrationFilter.h.

typedef OutputImageType itk::DenseFiniteDifferenceImageFilter< TDeformationField , TDeformationField >::UpdateBufferType [inherited]
 

The container type for the update buffer.

Definition at line 98 of file itkDenseFiniteDifferenceImageFilter.h.


Constructor & Destructor Documentation

template<class TFixedImage, class TMovingImage, class TDeformationField>
itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::LevelSetMotionRegistrationFilter  )  [protected]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::~LevelSetMotionRegistrationFilter  )  [inline, protected]
 

Definition at line 182 of file itkLevelSetMotionRegistrationFilter.h.


Member Function Documentation

virtual void itk::ProcessObject::AbortGenerateDataOff  )  [virtual, inherited]
 

virtual void itk::ProcessObject::AbortGenerateDataOn  )  [virtual, inherited]
 

Turn on and off the AbortGenerateData flag.

template<class TFixedImage, class TMovingImage, class TDeformationField>
Set Get the parameter alpha Alpha is added to the calculated* gradient magnitude prior to normalizing the gradient to protect* against numerical instability as the gradient magnitude* approaches zero This should be set as a small fraction of the* intensity dynamic for instance Default is the* itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::absolute not  percentage  ) 
 

virtual void itk::ProcessObject::AddInput DataObject input  )  [protected, virtual, inherited]
 

virtual void itk::ProcessObject::AddOutput DataObject output  )  [protected, virtual, inherited]
 

virtual void itk::ImageSource< TDeformationField >::AfterThreadedGenerateData  )  [inline, protected, virtual, inherited]
 

If an imaging filter needs to perform processing after all processing threads have completed, the filter can can provide an implementation for AfterThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.

Definition at line 254 of file itkImageSource.h.

virtual void itk::InPlaceImageFilter< TDeformationField , TDeformationField >::AllocateOutputs  )  [protected, virtual, inherited]
 

The GenerateData method normally allocates the buffers for all of the outputs of a filter. Since InPlaceImageFilter's can use an overwritten version of the input for its output, the output buffer should not be allocated. When possible, we graft the input to the filter to the output. If an InPlaceFilter has multiple outputs, then it would need to override this method to graft one of its outputs and allocate the remaining. If a filter is threaded (i.e. it provides an implementation of ThreadedGenerateData()), this method is called automatically. If an InPlaceFilter is not threaded (i.e. it provides an implementation of GenerateData()), then this method (or equivalent) must be called in GenerateData().

Reimplemented from itk::ImageSource< TDeformationField >.

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual void itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::ApplyUpdate TimeStepType  dt  )  [protected, virtual]
 

Apply update.

Reimplemented from itk::DenseFiniteDifferenceImageFilter< TDeformationField, TDeformationField >.

virtual void itk::ImageSource< TDeformationField >::BeforeThreadedGenerateData void   )  [inline, protected, virtual, inherited]
 

If an imaging filter needs to perform processing after the buffer has been allocated but before threads are spawned, the filter can can provide an implementation for BeforeThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.

Definition at line 242 of file itkImageSource.h.

static void itk::LightObject::BreakOnError  )  [static, inherited]
 

This method is called when itkExceptionMacro executes. It allows the debugger to break on error.

virtual void itk::ProcessObject::CacheInputReleaseDataFlags  )  [protected, virtual, inherited]
 

Cache the state of any ReleaseDataFlag's on the inputs. While the filter is executing, we need to set the ReleaseDataFlag's on the inputs to false in case the current filter is implemented using a mini-pipeline (which will try to release the inputs). After the filter finishes, we restore the state of the ReleaseDataFlag's before the call to ReleaseInputs().

virtual void itk::ImageToImageFilter< TDeformationField , TDeformationField >::CallCopyInputRegionToOutputRegion OutputImageRegionType destRegion,
const InputImageRegionType srcRegion
[protected, virtual, inherited]
 

This function calls the actual region copier to do the mapping from input image space to output image space. It uses a Function object used for dispatching to various routines to copy an input region (start index and size) to an output region. For most filters, this is a trivial copy because most filters require the input dimension to match the output dimension. However, some filters like itk::UnaryFunctorImageFilter can support output images of a higher dimension that the input.

This function object is used by the default implementation of GenerateOutputInformation(). It can also be used in routines like ThreadedGenerateData() where a filter may need to map an input region to an output region.

The default copier uses a "dispatch pattern" to call one of three overloaded functions depending on whether the input and output images are the same dimension, the input is a higher dimension that the output, or the input is of a lower dimension than the output. The use of an overloaded function is required for proper compilation of the various cases.

For the latter two cases, trivial implementations are used. If the input image is a higher dimension than the output, the first portion of the input region is copied to the output region. If the input region is a lower dimension than the output, the input region information is copied into the first portion of the output region and the rest of the output region is set to zero.

If a filter needs a different default behavior, it can override this method.

virtual void itk::ImageToImageFilter< TDeformationField , TDeformationField >::CallCopyOutputRegionToInputRegion InputImageRegionType destRegion,
const OutputImageRegionType srcRegion
[protected, virtual, inherited]
 

This function calls the actual region copier to do the mapping from output image space to input image space. It uses a Function object used for dispatching to various routines to copy an output region (start index and size) to an input region. For most filters, this is a trivial copy because most filters require the input dimension to match the output dimension. However, some filters like itk::ExtractImageFilter can support output images of a lower dimension that the input.

This function object can be used by GenerateOutputInformation() to copy the input LargestPossibleRegion to the output LargestPossibleRegion and can also be used in GenerateData or ThreadedGenerateData() where a filter may need to map an output region to an input region.

The default copier uses a "dispatch pattern" to call one of three overloaded functions depending on whether the input and output images are the same dimension, the input is a higher dimension that the output, or the input is of a lower dimension than the output. The use of an overloaded function is required for proper compilation of the various cases.

For the latter two cases, trivial implementations are used. If the input image is a higher dimension than the output, the output region information is copied into the first portion of the input region and the rest of the input region is set to zero. If the input region is a lower dimension than the output, the first portion of the output region is copied to the input region.

If a filter needs a different default behavior, it can override this method. The ExtractImageFilter overrides this function object so that if the input image is a higher dimension than the output image, the filter can control "where" in the input image the output subimage is extracted (as opposed to mapping to first few dimensions of the input).

Can the filter run in place To do the filter s first input* and output must have the same dimension and pixel type This* method can be used in conjunction with the InPlace ivar to* determine whether a particular use of the filter is really* running in place Some filters may be able to optimize their* operation if the InPlace is true and CanRunInPlace is true* bool itk::InPlaceImageFilter< TDeformationField , TDeformationField >::CanRunInPlace  )  const [inline, inherited]
 

Definition at line 108 of file itkInPlaceImageFilter.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::CopyInputToOutput  )  [protected, virtual, inherited]
 

A simple method to copy the data from the input to the output. If the input does not exist, a zero field is written to the output.

Reimplemented from itk::DenseFiniteDifferenceImageFilter< TDeformationField, TDeformationField >.

virtual LightObject::Pointer itk::Object::CreateAnother  )  const [virtual, inherited]
 

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::LightObject.

virtual void itk::Object::DebugOff  )  const [virtual, inherited]
 

Turn debugging output off.

virtual void itk::Object::DebugOn  )  const [virtual, inherited]
 

Turn debugging output on.

virtual void itk::LightObject::Delete  )  [virtual, inherited]
 

Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.

itk::DenseFiniteDifferenceImageFilter< TDeformationField , TDeformationField >::DenseFiniteDifferenceImageFilter  )  [inline, protected, inherited]
 

Definition at line 113 of file itkDenseFiniteDifferenceImageFilter.h.

References HardConnectedComponentImageFilter::New().

virtual void itk::ProcessObject::EnlargeOutputRequestedRegion DataObject  )  [inline, virtual, inherited]
 

Give the process object a chance to indictate that it will produce more output than it was requested to produce. For example, many imaging filters must compute the entire output at once or can only produce output in complete slices. Such filters cannot handle smaller requested regions. These filters must provide an implementation of this method, setting the output requested region to the size they will produce. By default, a process object does not modify the size of the output requested region.

Reimplemented in itk::CurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >, itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::WatershedImageFilter< TInputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::HoughTransform2DCirclesImageFilter< TInputPixelType, TOutputPixelType >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::ReconstructionByDilationImageFilter< TInputImage, TOutputImage >, itk::ReconstructionByErosionImageFilter< TInputImage, TOutputImage >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::StatisticsImageFilter< TInputImage >, itk::TobogganImageFilter< TInputImage >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageSeriesReader< TOutputImage >, and itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >.

Definition at line 222 of file itkProcessObject.h.

virtual void itk::ImageSource< TDeformationField >::GenerateData void   )  [protected, virtual, inherited]
 

A version of GenerateData() specific for image processing filters. This implementation will split the processing across multiple threads. The buffer is allocated by this method. Then the BeforeThreadedGenerateData() method is called (if provided). Then, a series of threads are spawned each calling ThreadedGenerateData(). After all the threads have completed processing, the AfterThreadedGenerateData() method is called (if provided). If an image processing filter cannot be threaded, the filter should provide an implementation of GenerateData(). That implementation is responsible for allocating the output buffer. If a filter an be threaded, it should NOT provide a GenerateData() method but should provide a ThreadedGenerateData() instead.

See also:
ThreadedGenerateData()

Reimplemented from itk::ProcessObject.

Reimplemented in itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField >.

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::GenerateInputRequestedRegion  )  [protected, virtual, inherited]
 

It is difficult to compute in advance the input moving image region required to compute the requested output region. Thus the safest thing to do is to request for the whole moving image.

For the fixed image and deformation field, the input requested region set to be the same as that of the output requested region.

Reimplemented from itk::ImageToImageFilter< TDeformationField, TDeformationField >.

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::GenerateOutputInformation  )  [protected, virtual, inherited]
 

By default the output deformation field has the same Spacing, Origin and LargestPossibleRegion as the input/initial deformation field. If the initial deformation field is not set, the output information is copied from the fixed image.

Reimplemented from itk::ProcessObject.

virtual void itk::ProcessObject::GenerateOutputRequestedRegion DataObject output  )  [protected, virtual, inherited]
 

Given one output whose requested region has been set, how should the requested regions for the remaining outputs of the process object be set? By default, all the outputs are set to the same requested region. If a filter needs to produce different requested regions for each output, for instance an image processing filter producing several outputs at different resolutions, then that filter may override this method and set the requested regions appropriatedly.

Note that a filter producing multiple outputs of different types is required to override this method. The default implementation can only correctly handle multiple outputs of the same type.

Reimplemented in itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::watershed::BoundaryResolver< TPixelType, TDimension >, itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >, itk::watershed::Relabeler< TScalarType, TImageDimension >, itk::watershed::Segmenter< TInputImage >, itk::watershed::SegmentTreeGenerator< TScalarType >, itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>, and itk::watershed::SegmentTreeGenerator< ScalarType >.

virtual const bool& itk::ProcessObject::GetAbortGenerateData  )  [virtual, inherited]
 

Get the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual double itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::GetAlpha  )  const [virtual]
 

Command* itk::Object::GetCommand unsigned long  tag  )  [inherited]
 

Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.

bool itk::Object::GetDebug  )  const [inherited]
 

Get the value of the debug flag.

template<class TFixedImage, class TMovingImage, class TDeformationField>
DeformationFieldType* itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::GetDeformationField void   )  [inline, inherited]
 

Get output deformation field.

Definition at line 136 of file itkPDEDeformableRegistrationFilter.h.

virtual const FiniteDifferenceFunctionType ::Pointer& itk::FiniteDifferenceImageFilter< TDeformationField , TDeformationField >::GetDifferenceFunction  )  const [virtual, inherited]
 

This method returns a pointer to a FiniteDifferenceFunction object that will be used by the filter to calculate updates at image pixels.

Returns:
A FiniteDifferenceObject pointer.

virtual const unsigned int& itk::FiniteDifferenceImageFilter< TDeformationField , TDeformationField >::GetElapsedIterations  )  [virtual, inherited]
 

Get the number of elapsed iterations of the filter.

template<class TFixedImage, class TMovingImage, class TDeformationField>
const FixedImageType* itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::GetFixedImage void   )  const [inherited]
 

Get the fixed image.

static bool itk::Object::GetGlobalWarningDisplay  )  [static, inherited]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual double itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::GetGradientMagnitudeThreshold  )  const [virtual]
 

virtual bool itk::InPlaceImageFilter< TDeformationField , TDeformationField >::GetInPlace  )  [virtual, inherited]
 

const DataObject* itk::ProcessObject::GetInput unsigned int  idx  )  const [protected, inherited]
 

const InputImageType* itk::ImageToImageFilter< TDeformationField , TDeformationField >::GetInput unsigned int  idx  )  [inherited]
 

Reimplemented from itk::ProcessObject.

const InputImageType* itk::ImageToImageFilter< TDeformationField , TDeformationField >::GetInput void   )  [inherited]
 

DataObjectPointerArray& itk::ProcessObject::GetInputs  )  [inline, inherited]
 

Return an array with all the inputs of this process object. This is useful for tracing back in the pipeline to construct graphs etc.

Definition at line 108 of file itkProcessObject.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual double itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::GetIntensityDifferenceThreshold  )  const [virtual]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual double itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::GetMaximumError  )  [virtual, inherited]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual unsigned int itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::GetMaximumKernelWidth  )  [virtual, inherited]
 

virtual const double& itk::FiniteDifferenceImageFilter< TDeformationField , TDeformationField >::GetMaximumRMSError  )  [virtual, inherited]
 

const MetaDataDictionary& itk::Object::GetMetaDataDictionary void   )  const [inherited]
 

Returns:
A constant reference to this objects MetaDataDictionary.

MetaDataDictionary& itk::Object::GetMetaDataDictionary void   )  [inherited]
 

Returns:
A reference to this objects MetaDataDictionary.
Warning:
This reference may be changed.

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual double itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::GetMetric  )  const [virtual]
 

Get the metric value. The metric value is the mean square difference in intensity between the fixed image and transforming moving image computed over the the overlapping region between the two images. This is value is only available for the previous iteration and NOT the current iteration.

template<class TFixedImage, class TMovingImage, class TDeformationField>
const MovingImageType* itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::GetMovingImage void   )  const [inherited]
 

Get the moving image.

virtual unsigned long itk::Object::GetMTime  )  const [virtual, inherited]
 

Return this objects modified time.

Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::SceneSpatialObject< SpaceDimension >, and itk::SceneSpatialObject< NDimensions >.

MultiThreader* itk::ProcessObject::GetMultiThreader  )  [inline, inherited]
 

Return the multithreader used by this class.

Definition at line 281 of file itkProcessObject.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual const char* itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::GetNameOfClass  )  const [virtual]
 

Run-time type information (and related methods).

Reimplemented from itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

std::vector<DataObjectPointer>::size_type itk::ProcessObject::GetNumberOfInputs  )  const [inline, inherited]
 

Get the size of the input vector. This is merely the size of the input vector, not the number of inputs that have valid DataObject's assigned. Use GetNumberOfValidRequiredInputs() to determine how many inputs are non-null.

Definition at line 115 of file itkProcessObject.h.

virtual const unsigned int& itk::FiniteDifferenceImageFilter< TDeformationField , TDeformationField >::GetNumberOfIterations  )  [virtual, inherited]
 

std::vector<DataObjectPointer>::size_type itk::ProcessObject::GetNumberOfOutputs  )  const [inline, inherited]
 

Definition at line 132 of file itkProcessObject.h.

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredInputs  )  [protected, virtual, inherited]
 

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredOutputs  )  [protected, virtual, inherited]
 

virtual const int& itk::ProcessObject::GetNumberOfThreads  )  [virtual, inherited]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual std::vector<SmartPointer<DataObject> >::size_type itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::GetNumberOfValidRequiredInputs  )  const [virtual, inherited]
 

Get the number of valid inputs. For PDEDeformableRegistration, this checks whether the fixed and moving images have been set. While PDEDeformableRegistration can take a third input as an initial deformation field, this input is not a required input.

Reimplemented from itk::ProcessObject.

const DataObject* itk::ProcessObject::GetOutput unsigned int  idx  )  const [protected, inherited]
 

OutputImageType* itk::ImageSource< TDeformationField >::GetOutput unsigned int  idx  )  [inherited]
 

Reimplemented from itk::ProcessObject.

Get the output data of this process object The output of this* function is not valid until an appropriate either explicitly or implicitly Both the filter* itself and the data object have and both* methods update the data Here are three ways to use* itk::ImageSource< TDeformationField >::GetOutput void   )  [inherited]
 

Return an array with all the outputs of this process object* This is useful for tracing forward in the pipeline to contruct* graphs etc* DataObjectPointerArray& itk::ProcessObject::GetOutputs  )  [inline, inherited]
 

Definition at line 130 of file itkProcessObject.h.

virtual const float& itk::ProcessObject::GetProgress  )  [virtual, inherited]
 

Get the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution.

virtual int itk::LightObject::GetReferenceCount  )  const [inline, virtual, inherited]
 

Gets the reference count on this object.

Definition at line 98 of file itkLightObject.h.

virtual const bool& itk::ProcessObject::GetReleaseDataBeforeUpdateFlag  )  [virtual, inherited]
 

virtual bool itk::ProcessObject::GetReleaseDataFlag  )  const [virtual, inherited]
 

virtual const double& itk::FiniteDifferenceImageFilter< TDeformationField , TDeformationField >::GetRMSChange  )  [virtual, inherited]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual bool itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::GetSmoothDeformationField  )  [virtual, inherited]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual bool itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::GetSmoothUpdateField  )  [virtual, inherited]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
const double* itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::GetStandardDeviations void   )  [inline, inherited]
 

Get the Gaussian smoothing standard deviations use for smoothing the deformation field.

Definition at line 165 of file itkPDEDeformableRegistrationFilter.h.

virtual const FilterStateType& itk::FiniteDifferenceImageFilter< TDeformationField , TDeformationField >::GetState  )  [virtual, inherited]
 

virtual UpdateBufferType* itk::DenseFiniteDifferenceImageFilter< TDeformationField , TDeformationField >::GetUpdateBuffer  )  [inline, protected, virtual, inherited]
 

Method to allow subclasses to get direct access to the update buffer

Definition at line 130 of file itkDenseFiniteDifferenceImageFilter.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
const double* itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::GetUpdateFieldStandardDeviations void   )  [inline, inherited]
 

Get the Gaussian smoothing standard deviations used for smoothing the update field.

Definition at line 186 of file itkPDEDeformableRegistrationFilter.h.

virtual const bool& itk::FiniteDifferenceImageFilter< TDeformationField , TDeformationField >::GetUseImageSpacing  )  [virtual, inherited]
 

static void itk::Object::GlobalWarningDisplayOff  )  [inline, static, inherited]
 

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

static void itk::Object::GlobalWarningDisplayOn  )  [inline, static, inherited]
 

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

virtual void itk::ImageSource< TDeformationField >::GraftNthOutput unsigned int  idx,
DataObject output
[virtual, inherited]
 

Graft the specified data object onto this ProcessObject's idx'th output. This is the similar to GraftOutput method except is allows you specify which output is affected. The specified index must be a valid output number (less than ProcessObject::GetNumberOfOutputs()). See the GraftOutput for general usage information.

virtual void itk::ImageSource< TDeformationField >::GraftOutput DataObject output  )  [virtual, inherited]
 

Graft the specified DataObject onto this ProcessObject's output. This method grabs a handle to the specified DataObject's bulk data to used as its output's own bulk data. It also copies the region ivars (RequestedRegion, BufferedRegion, LargestPossibleRegion) and meta-data (Spacing, Origin) from the specified data object into this filter's output data object. Most importantly, however, it leaves the Source ivar untouched so the original pipeline routing is intact. This method is used when a process object is implemented using a mini-pipeline which is defined in its GenerateData() method. The usage is:

    // setup the mini-pipeline to process the input to this filter
    firstFilterInMiniPipeline->SetInput( this->GetInput() );

    // setup the mini-pipeline to calculate the correct regions
    // and write to the appropriate bulk data block
    lastFilterInMiniPipeline->GraftOutput( this->GetOutput() );

    // execute the mini-pipeline
    lastFilterInMiniPipeline->Update();

    // graft the mini-pipeline output back onto this filter's output.
    // this is needed to get the appropriate regions passed back.
    this->GraftOutput( lastFilterInMiniPipeline->GetOutput() );

For proper pipeline execution, a filter using a mini-pipeline must implement the GenerateInputRequestedRegion(), GenerateOutputRequestedRegion(), GenerateOutputInformation() and EnlargeOutputRequestedRegion() methods as necessary to reflect how the mini-pipeline will execute (in other words, the outer filter's pipeline mechanism must be consistent with what the mini-pipeline will do).

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual bool itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::Halt  )  [protected, virtual]
 

This method returns true when the current iterative solution of the equation has met the criteria to stop solving. This version calls the superclass' version but also Halts if the RMSChange is zero.

Reimplemented from itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

bool itk::Object::HasObserver const EventObject event  )  const [inherited]
 

Return true if an observer is registered for this event.

Get the output data of this process object The output of this* function is not valid until an appropriate either explicitly or implicitly Both the filter* itself and the data object have and both* methods update the data Here are three ways to use* a image is a pointer to some Image and the* particular ProcessObjects involved are filters The same* examples apply to non itk::ImageSource< TDeformationField >::image e.g.  Mesh  )  [inherited]
 

itk::ImageSource< TDeformationField >::ImageSource  )  [protected, inherited]
 

itk::ImageToImageFilter< TDeformationField , TDeformationField >::ImageToImageFilter  )  [protected, inherited]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::Initialize  )  [protected, virtual, inherited]
 

This method is called before iterating the solution.

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual void itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::InitializeIteration  )  [protected, virtual]
 

Initialize the state of filter and equation before each iteration.

Reimplemented from itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

itk::InPlaceImageFilter< TDeformationField , TDeformationField >::InPlaceImageFilter  )  [protected, inherited]
 

virtual void itk::InPlaceImageFilter< TDeformationField , TDeformationField >::InPlaceOff  )  [virtual, inherited]
 

virtual void itk::InPlaceImageFilter< TDeformationField , TDeformationField >::InPlaceOn  )  [virtual, inherited]
 

void itk::Object::InvokeEvent const EventObject  )  const [inherited]
 

Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.

void itk::Object::InvokeEvent const EventObject  )  [inherited]
 

Call Execute on all the Commands observing this event id.

itk::InPlaceImageFilter< TDeformationField , TDeformationField >::itkStaticConstMacro OutputImageDimension  ,
unsigned  int,
TDeformationField ::ImageDimension 
[inherited]
 

Reimplemented from itk::ImageToImageFilter< TDeformationField, TDeformationField >.

ImageDimension constants* itk::InPlaceImageFilter< TDeformationField , TDeformationField >::itkStaticConstMacro InputImageDimension  ,
unsigned  int,
TDeformationField ::ImageDimension 
[inherited]
 

Reimplemented from itk::ImageToImageFilter< TDeformationField, TDeformationField >.

itk::FiniteDifferenceImageFilter< TDeformationField , TDeformationField >::itkStaticConstMacro ImageDimension  ,
unsigned  int,
OutputImageType::ImageDimension 
[inherited]
 

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

template<class TFixedImage, class TMovingImage, class TDeformationField>
itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::itkStaticConstMacro ImageDimension  ,
unsigned  int,
Superclass::ImageDimension 
[inherited]
 

Inherit some enums and typedefs from the superclass.

Reimplemented from itk::DenseFiniteDifferenceImageFilter< TDeformationField, TDeformationField >.

virtual DataObjectPointer itk::ImageSource< TDeformationField >::MakeOutput unsigned int  idx  )  [virtual, inherited]
 

Make a DataObject of the correct type to used as the specified output. Every ProcessObject subclass must be able to create a DataObject that can be used as a specified output. This method is automatically called when DataObject::DisconnectPipeline() is called. DataObject::DisconnectPipeline, disconnects a data object from being an output of its current source. When the data object is disconnected, the ProcessObject needs to construct a replacement output data object so that the ProcessObject is in a valid state. So DataObject::DisconnectPipeline eventually calls ProcessObject::MakeOutput. Note that MakeOutput always returns a SmartPointer to a DataObject. If a subclass of ImageSource has multiple outputs of different types, then that class must provide an implementation of MakeOutput().

Reimplemented from itk::ProcessObject.

virtual void itk::Object::Modified  )  const [virtual, inherited]
 

Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.

Referenced by itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::HistogramAlgorithmBase< TInputHistogram >::SetInputHistogram(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints1(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints2(), itk::NonUniformBSpline< TDimension >::SetSplineOrder(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< typename ComponentType::HistogramType >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().

template<class TFixedImage, class TMovingImage, class TDeformationField>
static Pointer itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::New  )  [static]
 

Method for creation through the object factory.

Reimplemented from itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

virtual void itk::ImageToImageFilter< TDeformationField , TDeformationField >::PopBackInput  )  [virtual, inherited]
 

Reimplemented from itk::ProcessObject.

virtual void itk::ImageToImageFilter< TDeformationField , TDeformationField >::PopFrontInput  )  [virtual, inherited]
 

Reimplemented from itk::ProcessObject.

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::PostProcessOutput  )  [protected, virtual, inherited]
 

This method is called after the solution has been generated. In this case, the filter release the memory of the internal buffers.

virtual void itk::ProcessObject::PrepareOutputs  )  [virtual, inherited]
 

An opportunity to deallocate a ProcessObject's bulk data storage. Some filters may wish to reuse existing bulk data storage to avoid unnecessary deallocation/allocation sequences. The default implementation calls Initialize() on each output. DataObject::Initialize() frees its bulk data by default.

Reimplemented in itk::WatershedImageFilter< TInputImage >.

void itk::LightObject::Print std::ostream &  os,
Indent  indent = 0
const [inherited]
 

Cause the object to print itself out.

bool itk::Object::PrintObservers std::ostream &  os,
Indent  indent
const [protected, inherited]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
void itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::PrintSelf std::ostream &  os,
Indent  indent
const [protected, virtual]
 

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

virtual void itk::LightObject::PrintTrailer std::ostream &  os,
Indent  indent
const [protected, virtual, inherited]
 

virtual void itk::ProcessObject::PropagateRequestedRegion DataObject output  )  [virtual, inherited]
 

Send the requested region information back up the pipeline (to the filters that preceed this one).

Reimplemented in itk::VTKImageImport< TOutputImage >.

virtual void itk::ProcessObject::PropagateResetPipeline  )  [protected, virtual, inherited]
 

Propagate a call to ResetPipeline() up the pipeline. Called only from DataObject.

* * these methods end of hiding the versions from the superclass* ProcessObject whose arguments are DataObjects we re expose* the versions from ProcessObject to avoid warnings about hiding* methods from the superclass* void itk::ImageToImageFilter< TDeformationField , TDeformationField >::PushBackInput const DataObject input  )  [inline, protected, virtual, inherited]
 

Reimplemented from itk::ProcessObject.

Definition at line 250 of file itkImageToImageFilter.h.

* itk::ImageToImageFilter< TDeformationField , TDeformationField >::PushBackInput  )  [protected, inherited]
 

Push Pop the input of this process object These methods allow a* filter to model its input vector as a queue or stack These* routines may not be appropriate for all especially* filters with different types of inputs These routines follow* the semantics of STL* * The routines are useful for applications that need to process* rolling sets of images For if an application has* images and they need to run a filter on then* run the filter on then run the filter on the application can accomplish this by popping* an input off the front of the input list and push a new image* onto the back of input list this only makes sense for* filters that single type of input* * Other uses are also possible For a single input pushing* and popping inputs allow the application to temporarily replace* an input to a filter** virtual void itk::ImageToImageFilter< TDeformationField , TDeformationField >::PushBackInput const InputImageType image  )  [virtual, inherited]
 

* itk::ImageToImageFilter< TDeformationField , TDeformationField >::PushFronInput  )  [protected, inherited]
 

void itk::ImageToImageFilter< TDeformationField , TDeformationField >::PushFrontInput const DataObject input  )  [inline, protected, virtual, inherited]
 

Reimplemented from itk::ProcessObject.

Definition at line 252 of file itkImageToImageFilter.h.

virtual void itk::ImageToImageFilter< TDeformationField , TDeformationField >::PushFrontInput const InputImageType image  )  [virtual, inherited]
 

virtual void itk::Object::Register  )  const [virtual, inherited]
 

Increase the reference count (mark as used by another object).

Reimplemented from itk::LightObject.

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOff  )  [virtual, inherited]
 

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOn  )  [virtual, inherited]
 

void itk::ProcessObject::ReleaseDataFlagOff  )  [inline, inherited]
 

Definition at line 254 of file itkProcessObject.h.

void itk::ProcessObject::ReleaseDataFlagOn  )  [inline, inherited]
 

Definition at line 253 of file itkProcessObject.h.

virtual void itk::InPlaceImageFilter< TDeformationField , TDeformationField >::ReleaseInputs  )  [protected, virtual, inherited]
 

InPlaceImageFilter may transfer ownership of the input bulk data to the output object. Once the output object owns the bulk data (done in AllocateOutputs()), the input object must release its hold on the bulk data. ProcessObject::ReleaseInputs() only releases the input bulk data when the user has set the ReleaseDataFlag. InPlaceImageFilter::ReleaseInputs() also releases the input that it has overwritten.

See also:
ProcessObject::ReleaseInputs()

Reimplemented from itk::ProcessObject.

void itk::Object::RemoveAllObservers  )  [inherited]
 

Remove all observers .

virtual void itk::ProcessObject::RemoveInput DataObject input  )  [protected, virtual, inherited]
 

void itk::Object::RemoveObserver unsigned long  tag  )  [inherited]
 

Remove the observer with this tag value.

virtual void itk::ProcessObject::RemoveOutput DataObject output  )  [protected, virtual, inherited]
 

virtual void itk::ProcessObject::ResetPipeline  )  [virtual, inherited]
 

Reset the pipeline. If an exception is thrown during an Update(), the pipeline may be in an inconsistent state. This method clears the internal state of the pipeline so Update() can be called.

virtual void itk::ProcessObject::RestoreInputReleaseDataFlags  )  [protected, virtual, inherited]
 

Restore the cached input ReleaseDataFlags.

virtual void itk::ProcessObject::SetAbortGenerateData bool  _arg  )  [virtual, inherited]
 

Set the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

void itk::Object::SetDebug bool  debugFlag  )  const [inherited]
 

Set the value of the debug flag. A non-zero value turns debugging on.

virtual void itk::FiniteDifferenceImageFilter< TDeformationField , TDeformationField >::SetDifferenceFunction FiniteDifferenceFunctionType _arg  )  [virtual, inherited]
 

This method sets the pointer to a FiniteDifferenceFunction object that will be used by the filter to calculate updates at image pixels.

Returns:
A FiniteDifferenceObject pointer.

template<class TFixedImage, class TMovingImage, class TDeformationField>
void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::SetFixedImage const FixedImageType ptr  )  [inherited]
 

Set the fixed image.

This is a global flag that controls whether any warning* or error messages are displayed* static void itk::Object::SetGlobalWarningDisplay bool  flag  )  [static, inherited]
 

Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().

template<class TFixedImage, class TMovingImage, class TDeformationField>
Set Get the threshold below which the gradient magnitude is* considered the zero vector Default is e* virtual void itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::SetGradientMagnitudeThreshold double   )  [virtual]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::SetInitialDeformationField DeformationFieldType ptr  )  [inline, inherited]
 

Set initial deformation field.

Definition at line 132 of file itkPDEDeformableRegistrationFilter.h.

In place operation can be turned on and off This only has an* effect when the input and output image type match* virtual void itk::InPlaceImageFilter< TDeformationField , TDeformationField >::SetInPlace bool  _arg  )  [virtual, inherited]
 

virtual void itk::ImageToImageFilter< TDeformationField , TDeformationField >::SetInput unsigned  int,
const TDeformationField *  image
[virtual, inherited]
 

Set Get the image input of this process object* virtual void itk::ImageToImageFilter< TDeformationField , TDeformationField >::SetInput const InputImageType image  )  [virtual, inherited]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
Set Get the desired maximum error of the Guassian kernel approximate* sa GaussianOperator* virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::SetMaximumError double  _arg  )  [virtual, inherited]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
Set Get the desired limits of the Gaussian kernel width* sa GaussianOperator* virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::SetMaximumKernelWidth unsigned int  _arg  )  [virtual, inherited]
 

Set Get the maximum error allowed in the solution This may not be defined for all solvers and its meaning may change with the application* virtual void itk::FiniteDifferenceImageFilter< TDeformationField , TDeformationField >::SetMaximumRMSError double  _arg  )  [virtual, inherited]
 

void itk::Object::SetMetaDataDictionary const MetaDataDictionary rhs  )  [inherited]
 

Returns:
Set the MetaDataDictionary

template<class TFixedImage, class TMovingImage, class TDeformationField>
void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::SetMovingImage const MovingImageType ptr  )  [inherited]
 

Set the moving image.

Protected methods for setting inputs* Subclasses make use of them for setting input* virtual void itk::ProcessObject::SetNthInput unsigned int  num,
DataObject input
[protected, virtual, inherited]
 

Referenced by itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetBoundaryA(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetBoundaryB(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetEquivalencyTable(), itk::WatershedImageFilter< TInputImage >::SetInput(), itk::watershed::SegmentTreeGenerator< ScalarType >::SetInputEquivalencyTable(), itk::watershed::Segmenter< TInputImage >::SetInputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetInputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetInputImage(), itk::watershed::SegmentTreeGenerator< ScalarType >::SetInputSegmentTable(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetInputSegmentTree(), itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetReferenceImage(), itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType >::SetReferenceImage(), and itk::ChangeInformationImageFilter< TInputImage >::SetReferenceImage().

Protected methods for setting outputs* Subclasses make use of them for getting output* virtual void itk::ProcessObject::SetNthOutput unsigned int  num,
DataObject output
[protected, virtual, inherited]
 

Referenced by itk::watershed::BoundaryResolver< TPixelType, TDimension >::BoundaryResolver(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::EquivalenceRelabeler(), itk::watershed::Segmenter< TInputImage >::SetBoundary(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetEquivalencyTable(), itk::watershed::Segmenter< TInputImage >::SetOutputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetOutputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetOutputImage(), and itk::watershed::Segmenter< TInputImage >::SetSegmentTable().

void itk::ProcessObject::SetNumberOfInputs unsigned int  num  )  [protected, inherited]
 

Called to allocate the input array. Copies old inputs.

Set Get the number of iterations that the filter will run* virtual void itk::FiniteDifferenceImageFilter< TDeformationField , TDeformationField >::SetNumberOfIterations unsigned int  _arg  )  [virtual, inherited]
 

void itk::ProcessObject::SetNumberOfOutputs unsigned int  num  )  [protected, inherited]
 

Called to allocate the output array. Copies old outputs.

virtual void itk::ProcessObject::SetNumberOfRequiredInputs unsigned int  _arg  )  [protected, virtual, inherited]
 

virtual void itk::ProcessObject::SetNumberOfRequiredOutputs unsigned int  _arg  )  [protected, virtual, inherited]
 

Get Set the number of threads to create when executing* virtual void itk::ProcessObject::SetNumberOfThreads int  _arg  )  [virtual, inherited]
 

virtual void itk::ProcessObject::SetProgress float  _arg  )  [virtual, inherited]
 

Set the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution. The ProgressEvent is NOT invoked.

virtual void itk::Object::SetReferenceCount int   )  [virtual, inherited]
 

Sets the reference count (use with care)

Reimplemented from itk::LightObject.

Turn on off the flags to control whether the bulk data belonging* to the outputs of this ProcessObject are released after being* used by a downstream ProcessObject Default value is off Another* options for controlling memory utilization is the* ReleaseDataBeforeUpdateFlag* virtual void itk::ProcessObject::SetReleaseDataFlag bool  flag  )  [virtual, inherited]
 

Set Get the root mean squared change of the previous iteration May not be used by all solvers* virtual void itk::FiniteDifferenceImageFilter< TDeformationField , TDeformationField >::SetRMSChange double  _arg  )  [virtual, inherited]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::SetStandardDeviations double  value  )  [virtual, inherited]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
Set the Gaussian smoothing standard deviations for the* deformation field The values are set with respect to pixel* coordinates* virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::SetStandardDeviations double  data[]  )  [virtual, inherited]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
Set Get whether the deformation field is smoothed* regularized Smoothing the deformation yields a solution* elastic in nature If SmoothDeformationField is then the* deformation field is smoothed with a Gaussian whose standard* deviations are specified with itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::SetStandardDeviations  )  [inherited]
 

Set Get the state of the filter* virtual void itk::FiniteDifferenceImageFilter< TDeformationField , TDeformationField >::SetState FilterStateType  _arg  )  [virtual, inherited]
 

void itk::FiniteDifferenceImageFilter< TDeformationField , TDeformationField >::SetStateToInitialized  )  [inline, inherited]
 

Set the state of the filter to INITIALIZED

Definition at line 195 of file itkFiniteDifferenceImageFilter.h.

void itk::FiniteDifferenceImageFilter< TDeformationField , TDeformationField >::SetStateToUninitialized  )  [inline, inherited]
 

Set the state of the filter to UNINITIALIZED

Definition at line 201 of file itkFiniteDifferenceImageFilter.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::SetUpdateFieldStandardDeviations double  value  )  [virtual, inherited]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
Set the Gaussian smoothing standard deviations for the update* field The values are set with respect to pixel coordinates* virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::SetUpdateFieldStandardDeviations double  data[]  )  [virtual, inherited]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
Set Get whether the update field is smoothed* regularized Smoothing the update field yields a solution* viscous in nature If SmoothUpdateField is then the* update field is smoothed with a Gaussian whose standard* deviations are specified with itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::SetUpdateFieldStandardDeviations  )  [inherited]
 

Use the image spacing information in calculations Use this option if you* want derivatives in physical space Default is UseImageSpacingOff* virtual void itk::FiniteDifferenceImageFilter< TDeformationField , TDeformationField >::SetUseImageSpacing bool  _arg  )  [virtual, inherited]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::SmoothDeformationField  )  [protected, virtual, inherited]
 

Utility to smooth the deformation field (represented in the Output) using a Guassian operator. The amount of smoothing can be specified by setting the StandardDeviations.

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::SmoothDeformationFieldOff  )  [virtual, inherited]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::SmoothDeformationFieldOn  )  [virtual, inherited]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::SmoothUpdateField  )  [protected, virtual, inherited]
 

Utility to smooth the UpdateBuffer using a Gaussian operator. The amount of smoothing can be specified by setting the UpdateFieldStandardDeviations.

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::SmoothUpdateFieldOff  )  [virtual, inherited]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::SmoothUpdateFieldOn  )  [virtual, inherited]
 

virtual int itk::ImageSource< TDeformationField >::SplitRequestedRegion int  i,
int  num,
OutputImageRegionType splitRegion
[protected, virtual, inherited]
 

Split the output's RequestedRegion into "num" pieces, returning region "i" as "splitRegion". This method is called "num" times. The regions must not overlap. The method returns the number of pieces that the routine is capable of splitting the output RequestedRegion, i.e. return value is less than or equal to "num".

template<class TFixedImage, class TMovingImage, class TDeformationField>
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::StopRegistration  )  [inline, virtual, inherited]
 

Stop the registration after the current iteration.

Definition at line 192 of file itkPDEDeformableRegistrationFilter.h.

virtual void itk::ImageSource< TDeformationField >::ThreadedGenerateData const OutputImageRegionType outputRegionForThread,
int  threadId
[protected, virtual, inherited]
 

If an imaging filter can be implemented as a multithreaded algorithm, the filter will provide an implementation of ThreadedGenerateData(). This superclass will automatically split the output image into a number of pieces, spawn multiple threads, and call ThreadedGenerateData() in each thread. Prior to spawning threads, the BeforeThreadedGenerateData() method is called. After all the threads have completed, the AfterThreadedGenerateData() method is called. If an image processing filter cannot support threading, that filter should provide an implementation of the GenerateData() method instead of providing an implementation of ThreadedGenerateData(). If a filter provides a GenerateData() method as its implementation, then the filter is responsible for allocating the output data. If a filter provides a ThreadedGenerateData() method as its implementation, then the output memory will allocated automatically by this superclass. The ThreadedGenerateData() method should only produce the output specified by "outputThreadRegion" parameter. ThreadedGenerateData() cannot write to any other portion of the output image (as this is responsibility of a different thread).

See also:
GenerateData(), SplitRequestedRegion()

static ITK_THREAD_RETURN_TYPE itk::ImageSource< TDeformationField >::ThreaderCallback void *  arg  )  [static, protected, inherited]
 

Static function used as a "callback" by the MultiThreader. The threading library will call this routine for each thread, which will delegate the control to ThreadedGenerateData().

virtual void itk::Object::UnRegister  )  const [virtual, inherited]
 

Decrease the reference count (release by another object).

Reimplemented from itk::LightObject.

* endcode* In the above the two lines of code can be in* either order* * Note that it may be more efficient to* use a pipeline than to call itk::ImageSource< TDeformationField >::Update  )  [virtual, inherited]
 

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.

Reimplemented from itk::ProcessObject.

* endcode* In the above the two lines of code can be in* either order* * Note that itk::ImageSource< TDeformationField >::Update  )  [virtual, inherited]
 

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.

Reimplemented from itk::ProcessObject.

* endcode* * code* someFilter itk::ImageSource< TDeformationField >::Update  )  [virtual, inherited]
 

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.

Reimplemented from itk::ProcessObject.

* image itk::ImageSource< TDeformationField >::Update  )  [virtual, inherited]
 

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.

Reimplemented from itk::ProcessObject.

* anotherFilter itk::ImageSource< TDeformationField >::Update  )  [virtual, inherited]
 

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.

Reimplemented from itk::ProcessObject.

Get the output data of this process object The output of this* function is not valid until an appropriate either explicitly or implicitly Both the filter* itself and the data object have itk::ImageSource< TDeformationField >::Update  )  [virtual, inherited]
 

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.

Reimplemented from itk::ProcessObject.

Get the output data of this process object The output of this* function is not valid until an appropriate itk::ImageSource< TDeformationField >::Update  )  [virtual, inherited]
 

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.

Reimplemented from itk::ProcessObject.

virtual void itk::ProcessObject::UpdateLargestPossibleRegion  )  [virtual, inherited]
 

Like Update(), but sets the output requested region to the largest possible region for the output. This is the method users should call if they want the entire dataset to be processed. If a user wants to update the same output region as a previous call to Update() or a previous call to UpdateLargestPossibleRegion(), then they should call the method Update().

virtual void itk::ProcessObject::UpdateOutputData DataObject output  )  [virtual, inherited]
 

Actually generate new output

Reimplemented in itk::StreamingImageFilter< TInputImage, TOutputImage >.

virtual void itk::ProcessObject::UpdateOutputInformation  )  [virtual, inherited]
 

Update the information decribing the output data. This method transverses up the pipeline gathering modified time information. On the way back down the pipeline, this method calls GenerateOutputInformation() to set any necessary information about the output data objects. For instance, a filter that shrinks an image will need to provide an implementation for GenerateOutputInformation() that changes the spacing of the pixels. Such filters should call their superclass' implementation of GenerateOutputInformation prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.

Reimplemented in itk::watershed::Segmenter< TInputImage >, and itk::VTKImageImport< TOutputImage >.

void itk::ProcessObject::UpdateProgress float  amount  )  [inherited]
 

Update the progress of the process object.

Sets the Progress ivar to amount and invokes any observers for the ProgressEvent. The parameter amount should be in [0,1] and is the cumulative (not incremental) progress.

virtual void itk::FiniteDifferenceImageFilter< TDeformationField , TDeformationField >::UseImageSpacingOff  )  [virtual, inherited]
 

virtual void itk::FiniteDifferenceImageFilter< TDeformationField , TDeformationField >::UseImageSpacingOn  )  [virtual, inherited]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
Set Get the threshold below which the absolute difference of* intensity yields a match When the intensities match between a* moving and fixed image the update itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::vector for that *  iteration  ) 
 


Member Data Documentation

Allow people to add remove invoke observers (callbacks) to any ITK * object. This is an implementation of the subject/observer design * pattern. An observer is added by specifying an event to respond to * and an itk unsigned lon itk::Object::AddObserver)(const EventObject &event, Command *) const [inherited]
 

Push Pop the input of this process object These methods allow a* filter to model its input vector as a queue or stack These* routines may not be appropriate for all especially* filters with different types of inputs These routines follow* the semantics of STL* * The routines are useful for applications that need to process* rolling sets of images For if an application has* images and they need to run a filter on then* run the filter on then run the filter on the application can accomplish this by popping* an input off the front of the input list and push a new image* onto the back of input list itk::ImageToImageFilter< TDeformationField , TDeformationField >::Again [inherited]
 

Definition at line 103 of file itkImageToImageFilter.h.

This is a global flag that controls whether any itk::Object::debug [inherited]
 

Definition at line 94 of file itkObject.h.

* endcode* In the above itk::ImageSource< TDeformationField >::example [inherited]
 

Definition at line 100 of file itkImageSource.h.

Push Pop the input of this process object These methods allow a* filter to model its input vector as a queue or stack These* routines may not be appropriate for all especially* filters with different types of inputs These routines follow* the semantics of STL* * The routines are useful for applications that need to process* rolling sets of images For if an application has* images and they need to run a filter on then* run the filter on then run the filter on the application can accomplish this by popping* an input off the front of the input list and push a new image* onto the back of input list this only makes sense for* filters that single type of input* * Other uses are also possible For a single input itk::ImageToImageFilter< TDeformationField , TDeformationField >::filter [inherited]
 

Definition at line 103 of file itkImageToImageFilter.h.

Push Pop the input of this process object These methods allow a* filter to model its input vector as a queue or stack These* routines may not be appropriate for all itk::ImageToImageFilter< TDeformationField , TDeformationField >::filters [inherited]
 

Reimplemented from itk::ProcessObject.

Definition at line 103 of file itkImageToImageFilter.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
Set Get the standard deviation used for smoothing the moving* image prior to calculating gradients The standard deviation is* measured in physical virtual units (for instance mm). Note that this * smoothing value is not to be confused with the * PDEDeformableRegistrationFilter doubl itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::GetGradientSmoothingStandardDeviations)() const
 

* * these methods end of hiding the versions from the superclass* ProcessObject whose arguments are DataObjects itk::ImageToImageFilter< TDeformationField , TDeformationField >::Here [protected, inherited]
 

Definition at line 246 of file itkImageToImageFilter.h.

* itk::ImageSource< TDeformationField >::image [inherited]
 

Definition at line 98 of file itkImageSource.h.

* endcode* * In this a someFilter and a anotherFilter are said* to constitute a b pipeline* * code* itk::ImageSource< TDeformationField >::image [inherited]
 

Definition at line 92 of file itkImageSource.h.

Push Pop the input of this process object These methods allow a* filter to model its input vector as a queue or stack These* routines may not be appropriate for all especially* filters with different types of inputs These routines follow* the semantics of STL* * The routines are useful for applications that need to process* rolling sets of images For if an application has* images and they need to run a filter on then* run the filter on then run the filter on* itk::ImageToImageFilter< TDeformationField , TDeformationField >::images [inherited]
 

Definition at line 103 of file itkImageToImageFilter.h.

Push Pop the input of this process object These methods allow a* filter to model its input vector as a queue or stack These* routines may not be appropriate for all especially* filters with different types of inputs These routines follow* the semantics of STL* * The routines are useful for applications that need to process* rolling sets of images For if an application has* images and they need to run a filter on then* run the filter on itk::ImageToImageFilter< TDeformationField , TDeformationField >::images [inherited]
 

Definition at line 103 of file itkImageToImageFilter.h.

Push Pop the input of this process object These methods allow a* filter to model its input vector as a queue or stack These* routines may not be appropriate for all especially* filters with different types of inputs These routines follow* the semantics of STL* * The routines are useful for applications that need to process* rolling sets of images For if an application has* images and they need to run a filter on itk::ImageToImageFilter< TDeformationField , TDeformationField >::images [inherited]
 

Definition at line 103 of file itkImageToImageFilter.h.

Push Pop the input of this process object These methods allow a* filter to model its input vector as a queue or stack These* routines may not be appropriate for all especially* filters with different types of inputs These routines follow* the semantics of STL* * The routines are useful for applications that need to process* rolling sets of images For itk::ImageToImageFilter< TDeformationField , TDeformationField >::instance [inherited]
 

Definition at line 103 of file itkImageToImageFilter.h.

TimeStamp itk::ProcessObject::m_OutputInformationMTime [protected, inherited]
 

Time when GenerateOutputInformation was last called.

Definition at line 428 of file itkProcessObject.h.

int itk::LightObject::m_ReferenceCount [mutable, protected, inherited]
 

Number of uses of this object by other objects.

Definition at line 119 of file itkLightObject.h.

SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited]
 

Mutex lock to protect modification to the reference count

Definition at line 122 of file itkLightObject.h.

bool itk::ProcessObject::m_Updating [protected, inherited]
 

This flag indicates when the pipeline is executing. It prevents infinite recursion when pipelines have loops.

Definition at line 425 of file itkProcessObject.h.

Get the output data of this process object The output of this* function is not valid until an appropriate either explicitly or implicitly Both the filter* itself and the data object have and both* methods update the data Here are three ways to use* a image is a pointer to some Image itk::ImageSource< TDeformationField >::object [inherited]
 

Definition at line 79 of file itkImageSource.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
Set Get whether the update field is smoothed* regularized Smoothing the update field yields a solution* viscous in nature If SmoothUpdateField is itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::on [inherited]
 

Definition at line 170 of file itkPDEDeformableRegistrationFilter.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
Set Get whether the deformation field is smoothed* regularized Smoothing the deformation yields a solution* elastic in nature If SmoothDeformationField is itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::on [inherited]
 

Definition at line 148 of file itkPDEDeformableRegistrationFilter.h.

template<class TFixedImage, class TMovingImage, class TDeformationField>
Set Get the threshold below which the absolute difference of* intensity yields a match When the intensities match between a* moving and fixed image itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::pixel
 

Definition at line 152 of file itkLevelSetMotionRegistrationFilter.h.

Methods invoked by virtual Print () to print information about the object * including superclasses. Typically not called by the user (use Print() * instead) but used in the hierarchical print process to combine the * output of several classes. */ virtual void PrintSelf(std voi itk::LightObject::PrintHeader)(std::ostream &os, Indent indent) const [protected, inherited]
 

template<class TFixedImage, class TMovingImage, class TDeformationField>
Set Get the parameter alpha Alpha is added to the calculated* gradient magnitude prior to normalizing the gradient to protect* against numerical instability as the gradient magnitude* approaches zero This should be set as a small fraction of the* intensity dynamic itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >::range
 

Definition at line 144 of file itkLevelSetMotionRegistrationFilter.h.

* endcode* In the above the two lines of code can be in* either order* * Note that it may be more efficient to* use a pipeline than to call the data generated is for the requested* itk::ImageSource< TDeformationField >::Region [inherited]
 

Definition at line 110 of file itkImageSource.h.

* endcode* * In this itk::ImageSource< TDeformationField >::situation [inherited]
 

Definition at line 88 of file itkImageSource.h.

Can the filter run in place To do itk::InPlaceImageFilter< TDeformationField , TDeformationField >::so [inherited]
 

Definition at line 99 of file itkInPlaceImageFilter.h.


The documentation for this class was generated from the following file:
Generated at Sun Jul 9 20:34:18 2006 for ITK by doxygen 1.4.2 written by Dimitri van Heesch, © 1997-2000