Topology correction of segmented medical images using a fast marching algorithm

Pierre Louis Bazin, Dzung L. Pham

Research output: Contribution to journalArticlepeer-review


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
Issue number2
StatePublished - Nov 2007
Externally publishedYes


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

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Health Informatics


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