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Topology smoothing for segmentation and surface reconstruction

  • Pierre Louis Bazin*
  • , Dzung L. Pham
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

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
Title of host publicationMedical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings
PublisherSpringer Verlag
Pages111-118
Number of pages8
EditionPART 1
ISBN (Electronic)9783540229766
DOIs
StatePublished - 2004
Event7th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - Saint-Malo, France
Duration: 26 Sep 2004 → 29 Sep 2004

Publication series

NameLecture Notes in Computer Science
NumberPART 1
Volume3216
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2004
Country/TerritoryFrance
CitySaint-Malo
Period26/09/04 → 29/09/04

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