Topology smoothing for segmentation and surface reconstruction

Pierre Louis Bazin, Dzung L. Pham

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations


We propose a new method for removing topological defects in surfaces and volumes segmented from medical images. Unlike current topology correction approaches, we define a smoothing operator that acts solely on the image volume and can be integrated into segmentation procedures. The method is based on an analysis of the scalar field underlying the isosurface of interest, and performs only local changes. No assumptions are required on the structure to segment, or on the desired topology. We show that segmentation algorithms that incorporate toplogical smoothing produce results with fewer topological defects.

Original languageEnglish (US)
Pages (from-to)111-118
Number of pages8
JournalLecture Notes in Computer Science
Issue numberPART 1
StatePublished - 2004
EventMedical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings - Saint-Malo, France
Duration: Sep 26 2004Sep 29 2004

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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