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Abstract #4293

Robust Estimation of Fascicle-based Fractional Anisotropy on Fiber Crossings

Erick Hernandez-Gutierrez1, Ricardo Coronado-Leija2, Gabrielle Grenier3, Maxime Descoteaux3, and Alonso Ramirez-Manzanares1
1Computer Science, CIMAT A.C., Guanajuato, Mexico, 2New York University School of Medicine, New York, NY, United States, 3Université de Sherbrooke, Sherbrooke, QC, Canada

In this work, a novel multi-shell modelling method is proposed to compute fascicle-based fractional anisotropy that is shown accurate and robust in the centrum semiovale of human brain clinical multi-shell datasets. It does not require tractography and it is informed by the local modelling estimations provided by the method called MRDS. The effectiveness of our methodology is also shown on synthetic experiments.

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