An implementation of the minimization of region-scalable fitting energy levelsets

Tang, Hui1*,Hameeteman, Reinhard,Gelas, Arnaud,Van Walsum, Theo
1.Delft University of Technology
Abstract

Abstract

Intensity inhomogeneities often occur in medical images, especially when using magnetic resonance imaging. In these images, the standard Chan-and-Vese levelset segmentation method may not work properly, as it assumes constant intensity distributions for foreground and background. Recently, a novel method was published that models the intensities as piece-wise smooth, and thus is more suitable to segment images with intensity homogeneities. However, this method was not yet implemented in ITK. This submission introduces our implementation of the region-scalable-fitting levelset segmentation method within the ITKv4 levelset framework.

Keywords

piecewise smoothintensity inhomogeneitylevelsets
Manuscript
Source Code and Data

Source Code and Data

.gitignore59 BREADME.md73 BCMakeLists.txt671 BRSFTermTest.svnentries1.6 KBtext-baseRSF.cxx.svn-base19.7 KBitkDivideImageSetEpsilonFilter.h.svn-base5.1 KBitkLevelSetEquationChanAndVeseTerm.h.svn-base7 KBitkLevelSetEquationChanAndVeseTerm.hxx.svn-base11 KBitkLevelSetEquationGeodesicCurvatureTerm.h.svn-base6 KBitkLevelSetEquationGeodesicCurvatureTerm.hxx.svn-base6.2 KBitkLevelSetEquationRSFTerm.h.svn-base8.4 KBitkLevelSetEquationRSFTerm.hxx.svn-base18.8 KBRSFTermTest.cxx10.6 KBitkDivideImageSetEpsilonFilter.h4.9 KBitkLevelSetEquationChanAndVeseGlobalTerm.h7.3 KBitkLevelSetEquationChanAndVeseGlobalTerm.hxx11.3 KBitkLevelSetEquationGeodesicCurvatureTerm.h5.9 KBitkLevelSetEquationGeodesicCurvatureTerm.hxx6.2 KBitkLevelSetEquationRSFTerm.h8.4 KBitkLevelSetEquationRSFTerm.hxx18.8 KBitkLevelSetEquationSparseRSFTerm.hxx15.5 KBitkLevelSetEquationSparseRSFTerm.h6.3 KBTestImage2.mhd369 B2.bmp6.9 KB2.raw23.1 KB2ini.mhd372 B2ini.raw23.1 KBini.mhd328 Bini.raw293 KBini2D.mhd330 Bini2D.raw9.8 KBori.mhd328 Bori2D.mhd330 Bori.raw293 KBori3.mhd329 Bori2D.raw9.8 KBori3.raw293 KB

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