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Abstract #3026

Diffusion microstructure modelling using a modular and extensible GPU accelerated toolkit

Robbert Harms 1 , Silvia de Santis 1,2 , Matteo Bastiani 1 , Rainer Goebel 1 , and Alard Roebroeck 1

1 Maastricht University, Maastricht, Limburg, Netherlands, 2 CUBRIC Cardiff University, Cardiff, United Kingdom

Large multi-shell dMRI data is increasingly used to estimate models of brain white matter that include microstructural information such as axonal density, diameters and/or dispersion. As model sophistication increases, computation times are becoming a bottleneck. We present a GPU accelerated modular and extensible toolbox for diffusion microstructure modeling. The toolbox is open source, python scriptable and compatible to other packages. Its flexibility makes it highly useful for the model developer in prototyping and testing models and its speed renders it essential in large group or population studies. We apply the toolbox to commonly used models and show orders-of-magnitude speedups.

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