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MICCAI
2008
Springer

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

10 years 4 months ago
A Hybrid System for the Semantic Annotation of Sulco-Gyral Anatomy in MRI Images
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.
Ammar Mechouche, Xavier Morandi, Christine Golbr
Added 06 Nov 2009
Updated 06 Nov 2009
Type Conference
Year 2008
Where MICCAI
Authors Ammar Mechouche, Xavier Morandi, Christine Golbreich, Bernard Gibaud
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