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Conference Paper

Investigating cortical variability using a generic gyral model

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Lohmann, G., von Cramon, D., & Colchester, A. (2006). Investigating cortical variability using a generic gyral model. In R. Larsen, M. Nielsen, & J. Sporring (Eds.), Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006: 9th International Conference, Copenhagen, Denmark, October 1-6, 2006 (pp. 109-116). Berlin, Germany: Springer.


Cite as: http://hdl.handle.net/21.11116/0000-0004-96D8-F
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.