A Hybrid System for the Semantic Annotation of Sulco-Gyral Anatomy in MRI Images

Authors:
Ammar Mechouche;Xavier Morandi;Christine Golbreich;Bernard Gibaud
Affiliations:
Unit/Project VisAGeS U746, INSERM - INRIA - CNRS, France;Unit/Project VisAGeS U746, INSERM - INRIA - CNRS, France and Department of Neurosurgery, University Hospital of Rennes, France;University of Versailles, Versailles, and LIRMM UMR 5506, Montpellier, France;Unit/Project VisAGeS U746, INSERM - INRIA - CNRS, France
Venue:
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Year:
2008

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Abstract

This paper presents an interactive system for the annotation of brain anatomical structures in Magnetic Resonance Images. The system is based on hybrid knowledge and techniques. First, it exploits both numerical knowledge from atlases and symbolic knowledge from a rule-extended ontology represented in OWL, the Web ontology language, and combines them with graphical data about cortical sulci, automatically extracted from the images. Second, the annotations of the parts of gyri and of sulci located in a region of interest are obtained with different reasoning techniques: Constraint Satisfaction Solving and Description Logics techniques. Preliminary experiments have been achieved on normal and also pathological data. The results obtained so far are very promising.