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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