Graph-based topology correction for brain cortex segmentation

Xiao Han, Chenyang Xu, Ulisses Braga-Neto, Jerry L. Prince

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Reconstructing a topologically correct representation of the brain cortex surface from magnetic resonance images is important in several medical and neuroscience applications. Most previous methods have either made drastic changes to the underlying anatomy or relied on hand-editing. Recently, a new technique due to Shattuck and Leahy yields a fully-automatic procedure with little distortion of the underlying segmentation. The present paper can be considered as an extension of this approach to include arbitrary cut directions and arbitrary digital connectivities. A detailed analysis of the method’s performance on 15 magnetic resonance brain images is provided.

Original languageEnglish (US)
Title of host publicationInformation Processing in Medical Imaging - 17th International Conference, IPMI 2001, Proceedings
EditorsMichael F. Insana, Richard M. Leahy
PublisherSpringer Verlag
Pages395-401
Number of pages7
ISBN (Electronic)3540422455, 9783540422457
DOIs
StatePublished - 2001
Event17th International Conference on Information Processing in Medical Imaging, IPMI 2001 - Davis, United States
Duration: Jun 18 2001Jun 22 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2082
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other17th International Conference on Information Processing in Medical Imaging, IPMI 2001
Country/TerritoryUnited States
CityDavis
Period6/18/016/22/01

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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