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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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