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

Ammar Mechouche 1, * Xavier Morandi 1, 2 Christine Golbreich 3, 4 Bernard Gibaud 1
* Corresponding author
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
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 ruleextended 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.
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Ammar Mechouche, Xavier Morandi, Christine Golbreich, Bernard Gibaud. A Hybrid System for the Semantic Annotation of Sulco-Gyral Anatomy in MRI Images.. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008, 11th International Conference., Sep 2008, United States. pp.807-814. ⟨inserm-00332530⟩

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