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Abstract #0195

Return-to-origin probability from single-shell and multi-shell diffusion MRI data correlates with normal aging

Qiyuan Tian1,2, Qiuyun Fan1,2, Kimberly A. Stephens1, Chanon Ngamsombat1, Maya Polackal1, Brian E. Edlow1, Jennifer A. McNab3, David Salat1, and Susie Y. Huang1,2
1Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States, 3Department of Radiology, Stanford University, Stanford, CA, United States

Return-to-origin probability (RTOP) measures the overall restriction of the microstructural environment and has been used to map microstructural changes related to age and pathology. However, measurement of RTOP requires either specialized acquisition (Cartesian q-space sampling) or processing (q-space gridding or modelling). We show that RTOP from multi-shell data is a weighted summation of the spherical mean signal of each individual shell. We apply our method to a multi-shell dataset of 40 subjects with b-values up to 17,800 s/mm2 and a dataset of 160 subjects from Lifespan Human Connectome Project in Aging and demonstrate its utility in mapping age-related microstructural change.

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