21 May 1999 Statistical analysis of brain sulci based on active ribbon modeling
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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.
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Christian Barillot, Georges Le Goualher, Pierre Hellier, Bernard Gibaud, "Statistical analysis of brain sulci based on active ribbon modeling", Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); doi: 10.1117/12.348586; https://doi.org/10.1117/12.348586
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