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Integrating information from pathological brain MRI into an anatomo-functional model

  • Bénédicte Batrancourt
  • , Jamal Atif
  • , Olivier Nempont
  • , Elsa Angelini
  • , Isabelle Bloch
  • CNRS LTCI

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

This paper presents a contribution to a large problematic in medicine and neuroscience which consists in integrating information extracted from medical images (MRI) into a global framework (such as electronic patient records or anatomo-functional databases). In this work, we focus on (1) the construction of an anatomo-functional model based on an Attributed Relational Hypergraph representation and (2) the integration into this model of information extracted from cerebral imaging scans, via several segmentation procedures. This model, including information on anatomical structures and their spatial relations, is able to cope with the complexity of anatomy and of MRI data.

Original languageEnglish
Title of host publicationProceedings of the Fourth IASTED International Conference on Biomedical Engineering
Pages236-241
Number of pages6
Publication statusPublished - 1 Dec 2006
Externally publishedYes
Event4th IASTED International Conference on Biomedical Engineering - Innsbruck, Austria
Duration: 15 Feb 200617 Feb 2006

Publication series

NameProceedings of the Fourth IASTED International Conference on Biomedical Engineering
Volume2006

Conference

Conference4th IASTED International Conference on Biomedical Engineering
Country/TerritoryAustria
CityInnsbruck
Period15/02/0617/02/06

Keywords

  • Anatomo-functional model
  • Brain
  • Hypergraph
  • Knowledge representation
  • MRI
  • Segmentation

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