Investigating cortical variability using a generic gyral model

Authors:
Gabriele Lohmann;D. Yves von Cramon;Alan C. F. Colchester
Affiliations:
Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany;Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany;University of Kent at Canterbury, UK
Venue:
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Year:
2006

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Abstract

In this paper, we present a systematic investigation of the variability of the human cortical folding using a generic gyral model (GGM). The GGM consists of a fixed number of vertices that can be registered non-linearly to an individual anatomy so that for each individual we have a clearly defined set of landmarks that is spread across the cortex. This allows us to obtain a regionalized estimation of inter-subject variability. Since the GGM is stratified into different levels of depth, it also allows us to estimate variability as a function of depth. As another application of a polygonal line representation underlying the generic gyral model, we present a cortical parcellation scheme that can be used to regionalize cortical measurements.