| Literature DB >> 34155395 |
Matthew Cieslak1, Philip A Cook2, Xiaosong He2, Fang-Cheng Yeh3, Thijs Dhollander4, Azeez Adebimpe2, Geoffrey K Aguirre2, Danielle S Bassett2, Richard F Betzel5, Josiane Bourque2, Laura M Cabral3, Christos Davatzikos2, John A Detre2, Eric Earl6, Mark A Elliott2, Shreyas Fadnavis5, Damien A Fair7, Will Foran3, Panagiotis Fotiadis2, Eleftherios Garyfallidis5, Barry Giesbrecht8, Ruben C Gur2, Raquel E Gur2, Max B Kelz2, Anisha Keshavan9, Bart S Larsen2, Beatriz Luna3, Allyson P Mackey2, Michael P Milham10, Desmond J Oathes2, Anders Perrone6,7, Adam R Pines2, David R Roalf2, Adam Richie-Halford9, Ariel Rokem9, Valerie J Sydnor2, Tinashe M Tapera2, Ursula A Tooley2, Jean M Vettel11, Jason D Yeatman12, Scott T Grafton8, Theodore D Satterthwaite13.
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.Entities:
Mesh:
Year: 2021 PMID: 34155395 PMCID: PMC8596781 DOI: 10.1038/s41592-021-01185-5
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 47.990