Abstract #3538

A fingerprinting approach to identifying fiber directions in Orientation Distribution Functions for Higher Order Diffusion MRI

Steven H. Baete^1,2, Ying-Chia Lin^1,2, and Fernando E. Boada^1,2

¹Center for Advanced Imaging Innovation and Research (CAI2R), NYU School Of Medicine, New York, NY, United States, ²Center for Biomedical Imaging, Dept of Radiology, NYU School Of Medicine, New York, NY, United States

High quality diffusion acquisitions are routinely used to study white matter architecture and brain connectivity in vivo. A key step for successful tractography of neuronal tracts is correct identification of the tract directions in each voxel. Here we propose a fingerprinting-based methodology for identifying these fiber directions in Orientation Distribution Functions. This ODF-fingerprinting approach improves the detection of fiber pairs with small crossing angles whilst maintaining fiber direction precision. This improvement will aid fiber tracking algorithms in accurately displaying neuronal tracts and calculating brain connectivity.

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