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

Authors:
Bénédicte Batrancourt;Jamal Atif;Olivier Nempont;Elsa Angelini;Isabelle Bloch
Affiliations:
GET-ENST, Dept TSI, LTCI, Paris, France;GET-ENST, Dept TSI, LTCI, Paris, France;GET-ENST, Dept TSI, LTCI, Paris, France;GET-ENST, Dept TSI, LTCI, Paris, France;GET-ENST, Dept TSI, LTCI, Paris, France
Venue:
BioMed'06 Proceedings of the 24th IASTED international conference on Biomedical engineering
Year:
2006

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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.