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Abstract #3550

Optimization of sampling lengths in Radial DSI empowers ODF-Fingerprinting: A phantom study on fibers crossing at narrow angles

Patryk Filipiak1, Lee Basler2, Benjamin Rodack2, John Dzikiy2, Anthony Zuccolotto2, Ying-Chia Lin1, Dimitris G. Placantonakis3, Timothy Shepherd1, Walter Schneider4, Fernando E. Boada1, and Steven H. Baete1
1Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, NYU Langone Health, New York, NY, United States, 2Psychology Software Tools, Inc., Pittsburgh, PA, United States, 3Department of Neurosurgery, Perlmutter Cancer Center, Neuroscience Institute, Kimmel Center for Stem Cell Biology, NYU Langone Health, New York, NY, United States, 4University of Pittsburgh, Pittsburgh, PA, United States


We optimize the sampling length parameter of Radial Diffusion Spectrum Imaging (RDSI) to improve fiber reconstruction accuracy of ODF-Fingerprinting (ODF-FP). As the ground truth, we use anisotropic diffusion phantoms containing taxons (textile water-filled tubes) with inside diameter of 0.8µm, approaching the anatomical scale of axons found in the human brain. Thanks to our optimized approach, ODF-FP reconstructs fibers crossing at angles as narrow as 10, 15, and 20 degrees with the average accuracy of approximately 10 degrees. We generalize our observations by proposing a criterion for selecting near-optimal sampling lengths to accelerate and simplify the application of ODF-FP with RDSI.

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