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Abstract #1910

Logical Foundations and Fast Implementation of Probabilistic Tractography

Myron Zhang1, 2, Ken E. Sakaie1, Jones Stephen1

1Imaging Institute, The Cleveland Clinic, Cleveland, OH, United States; 2Physics, Cornell University, Ithaca, NY, United States

Maps of whole-brain anatomical connections generated by tractography prove valuable for identifying targets for resection in the treatment of phamacoresistant epilepsy. Unfortunately, current implementations have difficulty identifying a number of important connections while relying on intuitively appealing but ad-hoc logic. In this contribution, we present a logical formulation of probabilistic tractography that lends itself to fast implementation. The method identifies connections throughout the entire brain and may prove important for presurgical planning and other medical applications.

Keywords

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