Nhat Trung Doan1, Maarten J. Versluis2, Sanneke van Rooden, Jeroen van der Grond, Andrew Webb2, Mark A. van Buchem, Johan H.C. Reiber1, Julien Milles1
1LKEB - Department of Radiology, Leiden University Medical Center, Leiden, Zuid Holland, Netherlands; 2CJ Gorter Center - Department of Radiology, Leiden University Medical Center, Leiden, Zuid Holland, Netherlands
The aim of this work is to implement a phase-based approach for the automated segmentation of the cerebral cortex in T2* data of elderly patients acquired using a 7T MR scanner. These data show essentially no gray/white matter contrast on magnitude images. The method is divided into two stages. The first step makes use of k-means clustering to segment the outer layer of the cortex. The obtained contour is subsequently deformed to match the gray/white matter interface based on the improved contrast in phase images, thereby resulting in a full segmentation of the cerebral cortex.