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Proceedings Paper

Statistical analysis of brain sulci based on active ribbon modeling
Author(s): Christian Barillot; Georges Le Goualher; Pierre Hellier; Bernard Gibaud
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Paper Abstract

This paper presents a general statistical framework for modeling deformable object. This model is devoted being used in digital brain atlases. We first present a numerical modeling of brain sulci. We present also a method to characterize the high inter-individual variability of basic cortical structures on which the description of the cerebral cortex is based. The aimed applications use numerical modeling of brain sulci to assist non-linear registration of human brains by inter-individual anatomical matching or to better compare neuro-functional recordings performed on a series of individuals. The utilization of these methods is illustrated using a few examples.

Paper Details

Date Published: 21 May 1999
PDF: 10 pages
Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); doi: 10.1117/12.348586
Show Author Affiliations
Christian Barillot, IRISA/INRIA (France)
Georges Le Goualher, Montreal Neurological Institute/McGill Univ. (France)
Pierre Hellier, IRISA/INRIA (France)
Bernard Gibaud, Univ. de Rennes I (France)


Published in SPIE Proceedings Vol. 3661:
Medical Imaging 1999: Image Processing
Kenneth M. Hanson, Editor(s)

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