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Abstract #3467

Single-shell diffusion MRI data with b=1000: which non-tensor models are feasible?

Andrew D Davis1, Geoffrey B Hall2, Benicio N Frey2, Stephen C Strother3, Glenda M MacQueen4, Stefanie Hassel4, Jacqueline K Harris4, Mojdeh Zamyadi5, Stephen R Arnott5, Jonathan Downar6, and Sidney H Kennedy3

1Psychology, Neuroscience, and Behaviour, McMaster University, Hamilton, ON, Canada, 2McMaster University, Hamilton, ON, Canada, 3University of Toronto, Toronto, ON, Canada, 4University of Calgary, Calgary, ON, Canada, 5Rotman Research Institute, Toronto, ON, Canada, 6Krembil Research Institute, Toronto, ON, Canada

Single-shell diffusion data with b=1000 is commonly acquired in clinically focused studies, and fit with a tensor to calculate microstructure parameters, despite that model's limitations. This study fit several multi-compartment models to such data. The most promising models were: (i) two-fiber ball-stick with a single common diffusivity parameter, which provided the most stable results, and (ii) two-fiber ball-zeppelin, which provided low-noise and stable parameter maps and dispersion values with burn-in settings above 20,000 jumps. The default model in bedpostx yielded lower quality results in this data, even with extremely long processing times.

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