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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