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itkCurvesLevelSetImageFilter.h
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itkCurvesLevelSetImageFilter.h
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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkCurvesLevelSetImageFilter.h
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef __itkCurvesLevelSetImageFilter_h
#define __itkCurvesLevelSetImageFilter_h
#include "itkSegmentationLevelSetImageFilter.h"
#include "itkCurvesLevelSetFunction.h"
namespace itk {
/** \class CurvesLevelSetImageFilter
* \brief Segments structures in images based on user supplied edge potential map.
*
* \par IMPORTANT
* The SegmentationLevelSetImageFilter class and the
* CurvesLevelSetFunction class contain additional information necessary
* to the full understanding of how to use this filter.
*
* \par 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.
*
* \par 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).
*
* \par
* 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:
*
* \f[ g(I) = 1 / ( 1 + | (\nabla * G)(I)| ) \f]
* \f[ g(I) = \exp^{-|(\nabla * G)(I)|} \f]
*
* where \f$ I \f$ is image intensity and
* \f$ (\nabla * G) \f$ is the derivative of Gaussian operator.
*
* \par
* See SegmentationLevelSetImageFilter and SparseFieldLevelSetImageFilter
* for more information on Inputs.
*
* \par 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 \f$ c \f$ (the inflation or ballon force) and
* AdvectionScaling and CurvatureScaling both to 1.0.
*
* \par 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.
*
* \par 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.
*
* \par
* See SparseFieldLevelSetImageFilter and
* SegmentationLevelSetImageFilter for more information.
*
* \sa SegmentationLevelSetImageFilter
* \sa CurvesLevelSetFunction
* \sa SparseFieldLevelSetImageFilter
*
* \ingroup LevelSetSegmentation
*/
template <class TInputImage,
class TFeatureImage,
class TOutputPixelType = float >
class ITK_EXPORT CurvesLevelSetImageFilter
: public SegmentationLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType >
{
public:
/** Standard class typedefs */
typedef CurvesLevelSetImageFilter Self;
typedef SegmentationLevelSetImageFilter<
TInputImage, TFeatureImage, TOutputPixelType> Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Inherited typedef from the superclass. */
typedef typename Superclass::ValueType ValueType;
typedef typename Superclass::OutputImageType OutputImageType;
typedef typename Superclass::FeatureImageType FeatureImageType;
/** Type of the segmentation function */
typedef CurvesLevelSetFunction<
OutputImageType, FeatureImageType> CurvesFunctionType;
typedef typename CurvesFunctionType::Pointer CurvesFunctionPointer;
/** Run-time type information (and related methods). */
itkTypeMacro(CurvesLevelSetImageFilter, SegmentationLevelSetImageFilter);
/** Method for creation through the object factory */
itkNewMacro(Self);
/** Set the value of sigma used to compute derivatives */
void SetDerivativeSigma( float value )
{
m_CurvesFunction->SetDerivativeSigma( value );
this->Modified();
}
float GetDerivativeSigma() const
{ return m_CurvesFunction->GetDerivativeSigma(); }
#ifdef ITK_USE_CONCEPT_CHECKING
/** Begin concept checking */
itkConceptMacro(OutputHasNumericTraitsCheck,
(Concept::HasNumericTraits<TOutputPixelType>));
/** End concept checking */
#endif
protected:
~CurvesLevelSetImageFilter() {}
CurvesLevelSetImageFilter();
virtual void PrintSelf(std::ostream &os, Indent indent) const;
CurvesLevelSetImageFilter(const Self &); // purposely not implemented
void operator=(const Self&); //purposely not implemented
/** Overridden from Superclass to handle the case when PropagationScaling is zero.*/
void GenerateData();
private:
CurvesFunctionPointer m_CurvesFunction;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkCurvesLevelSetImageFilter.txx"
#endif
#endif