Abstract #4736

A method for near-realtime automated segmentation of thalamic nuclei

Francis Tyson Thomas¹, Jason Su², Brian K Rutt², and Manojkumar Saranathan³

¹Electrical and Computer Engineering, Univ. of Arizona, Tucson, AZ, United States, ²Radiology, Stanford University, Stanford, CA, United States, ³Medical Imaging, Univ. of Arizona, Tucson, AZ, United States

Thalamic nuclei are often hard to visualize on most anatomical sequences. White-matter-nulled MPRAGE imaging provides sufficient intra-nuclear contrast to enable manual segmentation, which is very tedious. We have developed fast multi-atlas based segmentation schemes that can provide accurate segmentation of all the major thalamic nuclei in under 15 minutes.

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