Abstract #2359

Semi-Automated In-Vivo Segmentation of Visual Area V1 Based on Structural 7 Tesla MRI

Marcel Weiss¹, Gabriele Lohmann¹, Gerik Scheuermann², Robert Turner¹

¹Max Planck Institute for Human Cognitive & Brain Sciences, Leipzig, Saxony, Germany; ²Institute of Computer Science, University of Leipzig

Initial results of a semi-automated method for cortical parcellation are presented. Intra-cortical variations in laminar contrast of 7T MRI data are analysed to identify primary visual cortex/BA17 observer-independent.