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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.