| Literature DB >> 35689029 |
Azeez Adebimpe1,2, Maxwell Bertolero1,2, Sudipto Dolui3, Matthew Cieslak1,2, Kristin Murtha1,2, Erica B Baller1,2,4, Bradley Boeve5, Adam Boxer6, Ellyn R Butler2, Phil Cook7, Stan Colcombe8,9, Sydney Covitz1,2, Christos Davatzikos10, Diego G Davila1,2, Mark A Elliott3, Matthew W Flounders2,11, Alexandre R Franco8,9, Raquel E Gur2,4, Ruben C Gur2,4, Basma Jaber1,2, Corey McMillian12, Michael Milham8,9, Henk J M M Mutsaerts13, Desmond J Oathes2,11,14, Christopher A Olm12, Jeffrey S Phillips12, Will Tackett3, David R Roalf2,4, Howard Rosen6, Tinashe M Tapera1,2, M Dylan Tisdall3, Dale Zhou1, Oscar Esteban15,16, Russell A Poldrack16, John A Detre3,17, Theodore D Satterthwaite18,19,20.
Abstract
Arterial spin labeled (ASL) magnetic resonance imaging (MRI) is the primary method for noninvasively measuring regional brain perfusion in humans. We introduce ASLPrep, a suite of software pipelines that ensure the reproducible and generalizable processing of ASL MRI data.Entities:
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Year: 2022 PMID: 35689029 DOI: 10.1038/s41592-022-01458-7
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 47.990