Paper
21 May 1999 Statistical analysis of brain sulci based on active ribbon modeling
Christian Barillot, Georges Le Goualher, Pierre Hellier, Bernard Gibaud
Author Affiliations +
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christian Barillot, Georges Le Goualher, Pierre Hellier, and Bernard Gibaud "Statistical analysis of brain sulci based on active ribbon modeling", Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); https://doi.org/10.1117/12.348586
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Brain

Statistical analysis

Statistical modeling

3D modeling

Shape analysis

Feature extraction

Image segmentation

Back to Top