Topology correction of segmented medical images using a fast marching algorithm

Pierre Louis Bazin, Dzung L. Pham

Research output: Contribution to journalArticle

Abstract

We present here a new method for correcting the topology of objects segmented from medical images. Whereas previous techniques alter a surface obtained from a binary segmentation of the object, our technique can be applied directly to the image intensities of a probabilistic or fuzzy segmentation, thereby propagating the topology for all isosurfaces of the object. From an analysis of topological changes and critical points in implicit surfaces, we derive a topology propagation algorithm that enforces any desired topology using a fast marching technique. The method has been applied successfully to the correction of the cortical gray matter/white matter interface in segmented brain images and is publicly released as a software plug-in for the MIPAV package.

Original languageEnglish (US)
Pages (from-to)182-190
Number of pages9
JournalComputer Methods and Programs in Biomedicine
Volume88
Issue number2
DOIs
StatePublished - Nov 2007

Fingerprint

Topology
Software
Brain
Gray Matter
White Matter

Keywords

  • Brain imaging
  • Fast marching methods
  • Segmentation
  • Topology correction

ASJC Scopus subject areas

  • Software

Cite this

Topology correction of segmented medical images using a fast marching algorithm. / Bazin, Pierre Louis; Pham, Dzung L.

In: Computer Methods and Programs in Biomedicine, Vol. 88, No. 2, 11.2007, p. 182-190.

Research output: Contribution to journalArticle

Bazin, Pierre Louis ; Pham, Dzung L. / Topology correction of segmented medical images using a fast marching algorithm. In: Computer Methods and Programs in Biomedicine. 2007 ; Vol. 88, No. 2. pp. 182-190.
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