Using GPUs to accelerate computational diffusion MRI: From microstructure estimation to tractography and connectomes.

ABSTRACT: The great potential of computational diffusion MRI (dMRI) relies on indirect inference of tissue microstructure and brain connections, since modelling and tractography frameworks map diffusion measurements to neuroanatomical features. This mapping however can be computationally highly expensive, particularly given the trend of increasing dataset sizes and the complexity in biophysical modelling. Limitations on computing resources can restrict data exploration and methodology development. A step forward is to take advantage of the computational power offered by recent parallel computing architectures, especially Graphics Processing Units (GPUs). GPUs are massive parallel processors that offer trillions of floating point operations per second, and have made possible the solution of computati

SUBMITTER: Hernandez-Fernandez M 

PROVIDER: S-EPMC6614035 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature