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Abstract #4355

Fast Tractography Demonstrates the Topography of the Corpus Callosum In Ideal and Post-stroke Conditions

Jacqueline Chen1, Mark Lowe1, Ken Sakaie1, Kenneth Baker2, Andre Machado3, and Stephen Jones1
1Cleveland Clinic Imaging Institute, Cleveland, OH, United States, 2Cleveland Clinic Lerner Research Institute, Cleveland, OH, United States, 3Cleveland Clinic Neurological Institute, Cleveland, OH, United States

Accurate white-matter tractography maps can be a useful clinical tool for assessing neurological disorders, however, incorrect assumptions within tractography algorithms can yield non-physiological results. We have developed a tractography methodology based on probability theory that uses both local and global information to improve accuracy, and standard partial differential equation solvers for fast whole-brain mapping. In this abstract we demonstrate: 1) the accuracy of the method by comparing a topographical map of the corpus callosum (CC) generated from a symmetrized human data phantom to published maps; 2) how differences in CC topography may be associated with stroke location and functional disability.

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