Cieslak, Matthew; Cook, Philip A; He, Xiaosong; Yeh, Fang-Cheng; Dhollander, Thijs; Adebimpe, Azeez; Aguirre, Geoffrey K; Bassett, Danielle S; Betzel, Richard F; Bourque, Josiane; Cabral, Laura M; Davatzikos, Christos; Detre, John A; Earl, Eric; Elliott, Mark A; Fadnavis, Shreyas; Fair, Damien A; Foran, Will; Fotiadis, Panagiotis; Garyfallidis, Eleftherios; Giesbrecht, Barry; Gur, Ruben C; Gur, Raquel E; Kelz, Max B; Keshavan, Anisha; Larsen, Bart S; Luna, Beatriz; Mackey, Allyson P; Milham, Michael P; Oathes, Desmond J; Perrone, Anders; Pines, Adam R; Roalf, David R; Richie-Halford, Adam; Rokem, Ariel; Sydnor, Valerie J; Tapera, Tinashe M; Tooley, Ursula A; Vettel, Jean M; Yeatman, Jason D; Grafton, Scott T; Satterthwaite, Theodore D

doi:10.1038/s41592-021-01185-5

QSIPrep: an integrative platform for preprocessing and reconstructing diffusion MRI data

Published Web Location

https://doi.org/10.1038/s41592-021-01185-5

Abstract

Diffusion-weighted magnetic resonance imaging (dMRI) is the primary method for noninvasively studying the organization of white matter in the human brain. Here we introduce QSIPrep, an integrative software platform for the processing of diffusion images that is compatible with nearly all dMRI sampling schemes. Drawing on a diverse set of software suites to capitalize on their complementary strengths, QSIPrep facilitates the implementation of best practices for processing of diffusion images.

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UC Berkeley

QSIPrep: an integrative platform for preprocessing and reconstructing diffusion MRI data

Published Web Location