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Cortex segmentation - a fast variational geometric approach

An automatic cortical gray matter segmentation from three-dimensional brain images (MR or CT) is a well known problem in medical image processing. We formulate it as a geometric variational problem for propagation of two coupled bounding surfaces. An efficient numerical scheme is used to implement the geodesic active surface model. Experimental results of cortex segmentation on real three-dimensional MR data are provided.