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itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > Class Template Reference
[Level Set-Based Segmentation Filters]

Segments structures in images based on user supplied edge potential map. More...

#include <itkCurvesLevelSetImageFilter.h>

List of all members.

Public Types

typedef CurvesLevelSetImageFilter Self
typedef SegmentationLevelSetImageFilter<
TInputImage, TFeatureImage,
TOutputPixelType, Image<
TOutputPixelType,::itk::GetImageDimension<
TInputImage >::ImageDimension > > 		Superclass
typedef SmartPointer< Self > Pointer
typedef SmartPointer< const
Self > 		ConstPointer
typedef Superclass::ValueType ValueType
typedef Superclass::OutputImageType OutputImageType
typedef Superclass::FeatureImageType FeatureImageType
typedef CurvesLevelSetFunction<
OutputImageType, FeatureImageType > 		CurvesFunctionType
typedef CurvesFunctionType::Pointer CurvesFunctionPointer

Public Member Functions

virtual const char * GetClassName () const
void SetDerivativeSigma (float value)
float GetDerivativeSigma () const

Static Public Member Functions

Pointer New ()

Protected Member Functions

 ~CurvesLevelSetImageFilter ()
 CurvesLevelSetImageFilter ()
virtual void PrintSelf (std::ostream &os, Indent indent) const
 CurvesLevelSetImageFilter (const Self &)
void operator= (const Self &)

Detailed Description

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
class itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >

Segments structures in images based on user supplied edge potential map.

IMPORTANT
The SegmentationLevelSetImageFilter class and the CurvesLevelSetFunction class contain additional information necessary to the full understanding of how to use this filter.
OVERVIEW
This class is a level set method segmentation filter. An initial contour is propagated outwards (or inwards) until it sticks to the shape boundaries. This is done by using a level set speed function based on a user supplied edge potential map.
INPUTS
This filter requires two inputs. The first input is a initial level set. The initial level set is a real image which contains the initial contour/surface as the zero level set. For example, a signed distance function from the initial contour/surface is typically used. Unlike the simpler ShapeDetectionLevelSetImageFilter the initial contour does not have to lie wholly within the shape to be segmented. The intiial contour is allow to overlap the shape boundary. The extra advection term in the update equation behaves like a doublet and attracts the contour to the boundary. This approach for segmentation follows that of Lorigo et al (2001).
The second input is the feature image. For this filter, this is the edge potential map. General characteristics of an edge potential map is that it has values close to zero in regions near the edges and values close to one inside the shape itself. Typically, the edge potential map is compute from the image gradient, for example:

\[ g(I) = 1 / ( 1 + | (\nabla * G)(I)| ) \]

\[ g(I) = \exp^{-|(\nabla * G)(I)|} \]

where $ I $ is image intensity and $ (\nabla * G) $ is the derivative of Gaussian operator.

See SegmentationLevelSetImageFilter and SparseFieldLevelSetImageFilter for more information on Inputs.
PARAMETERS
The method SetUseNegatiiveFeatures() can be used to switch from propagating inwards (false) versus propagting outwards (true).
This implementation allows the user to set the weights between the propagation, advection and curvature term using methods SetPropagationScaling(), SetAdvectionScaling(), SetCurvatureScaling(). In general, the larger the CurvatureScaling, the smoother the resulting contour. To follow the implementation in Caselles's paper, set the PropagationScaling to $ c $ (the inflation or ballon force) and AdvectionScaling and CurvatureScaling both to 1.0.

OUTPUTS
The filter outputs a single, scalar, real-valued image. Negative values in the output image are inside the segmentated region and positive values in the image are outside of the inside region. The zero crossings of the image correspond to the position of the level set front.
REFERENCES
L. Lorigo, O. Faugeras, W.E.L. Grimson, R. Keriven, R. Kikinis, A. Nabavi, and C.-F. Westin, Curves: Curve evolution for vessel segmentation. Medical Image Analysis, 5:195-206, 2001.
See SparseFieldLevelSetImageFilter and SegmentationLevelSetImageFilter for more information.
See also:
SegmentationLevelSetImageFilter

CurvesLevelSetFunction

SparseFieldLevelSetImageFilter

Definition at line 102 of file itkCurvesLevelSetImageFilter.h.

Member Typedef Documentation

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef SmartPointer<const Self> itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ConstPointer
 

Definition at line 110 of file itkCurvesLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef CurvesFunctionType::Pointer itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::CurvesFunctionPointer
 

Definition at line 121 of file itkCurvesLevelSetImageFilter.h.

Referenced by itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::~CurvesLevelSetImageFilter().

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef CurvesLevelSetFunction<OutputImageType, FeatureImageType> itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::CurvesFunctionType
 

Type of the segmentation function Definition at line 119 of file itkCurvesLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef Superclass::FeatureImageType itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::FeatureImageType
 

Definition at line 115 of file itkCurvesLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef Superclass::OutputImageType itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::OutputImageType
 

Definition at line 114 of file itkCurvesLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef SmartPointer<Self> itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Pointer
 

Definition at line 109 of file itkCurvesLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef CurvesLevelSetImageFilter itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Self
 

Standard class typedefs Definition at line 107 of file itkCurvesLevelSetImageFilter.h.

Referenced by itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::~CurvesLevelSetImageFilter().

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef SegmentationLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType, Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension> > itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Superclass
 

Definition at line 108 of file itkCurvesLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef Superclass::ValueType itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ValueType
 

Inherited typedef from the superclass. Definition at line 113 of file itkCurvesLevelSetImageFilter.h.

Constructor & Destructor Documentation

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::~CurvesLevelSetImageFilter (   )  [inline, protected]
 

Definition at line 138 of file itkCurvesLevelSetImageFilter.h.

References itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::CurvesFunctionPointer, and itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Self.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::CurvesLevelSetImageFilter (   )  [protected]
 

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::CurvesLevelSetImageFilter (  const Self &   )  [protected]
 

Member Function Documentation

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
virtual const char* itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetClassName (   )  const [virtual]
 

Run-time type information (and related methods).

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
float itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetDerivativeSigma (   )  const [inline]
 

Set the value of sigma used to compute derivatives Definition at line 133 of file itkCurvesLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
Pointer itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::New (   )  [static]
 

Method for creation through the object factory

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
void itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::operator= (  const Self &   )  [protected]
 

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
virtual void itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::PrintSelf (  std::ostream &  os,
Indent  indent
)  const [protected, virtual]
 

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
void itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetDerivativeSigma (  float  value  )  [inline]
 

Set the value of sigma used to compute derivatives Definition at line 130 of file itkCurvesLevelSetImageFilter.h.

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