MICCAI 2002: Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002 pp 655-662 | Cite as
Statistical Modeling of Pairs of Sulci in the Context of Neuroimaging Probabilistic Atlas
Conference paper
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Abstract
In the context of neuroimaging probabilistic atlases, we propose a statistical framework to model the inter-individual variability of pairs of sulci with respect to their relative position and orientation. The approach extends previous work [3], and relies on the statistical analysis of a training set. We first define an appropriate data representation, through an observation vector, in order to build a consistent training population, on which we then apply a normed principal components analysis (normed-PCA). Experiments have been performed on pairs of major sulci extracted from 18 MR images.
Keywords
Neuroimaging probabilistic atlases cortical sulci statistical modeling normed-PCA Download
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