Year: 2020
Type: preprint
Abstract: ABSTRACT Diffusion-weighted magnetic resonance imaging (dMRI) has become the primary method for non-invasively studying the organization of white matter in the human brain. While many dMRI acquisition sequences have been developed, they all sample q-space in order to characterize water diffusion. Numerous software platforms have been developed for processing dMRI data, but most work on only a subset of sampling schemes or implement only parts of the processing workflow. Reproducible research and comparisons across dMRI methods are hindered by incompatible software, diverse file formats, and inconsistent naming conventions. Here we introduce QSIPrep, an integrative software platform for the processing of diffusion images that is compatible with nearly all dMRI sampling schemes. Drawing upon a diverse set of software suites to capitalize upon their complementary strengths, QSIPrep automatically applies best practices for dMRI preprocessing, including denoising, distortion correction, head motion correction, coregistration, and spatial normalization. Throughout, QSIPrep provides both visual and quantitative measures of data quality as well as “glass-box” methods reporting. Taken together, these features facilitate easy implementation of best practices for processing of diffusion images while simultaneously ensuring reproducibility.
Authors: Matthew Cieslak, Philip A. Cook, Xiaosong He, Fang-Cheng Yeh, Thijs Dhollander, Azeez Adebimpe, Geoffrey K. Aguirre, Danielle S. Bassett, Richard F. Betzel, Josiane Bourque, Laura M. Cabral, Christos Davatzikos, John Detre, Eric Earl, Mark A. Elliott, Shreyas Fadnavis, Damien A. Fair, Will Foran, Panagiotis Fotiadis, Eleftherios Garyfallidis, Barry Giesbrecht, Ruben C. Gur, Raquel E. Gur, Max Kelz, Anisha Keshavan, Bart S. Larsen, Beatriz Luna, Allyson P. Mackey, Michael Milham, Desmond J. Oathes, Anders Perrone, Adam R. Pines, David R. Roalf, Adam Richie-Halford, Ariel Rokem, Valerie J. Sydnor, Tinashe M. Tapera, Ursula A. Tooley, Jean M. Vettel, Jason D. Yeatman, Scott T. Grafton, Theodore D. Satterthwaite
Institutions: University of Pennsylvania, University of Pittsburgh, Murdoch Children's Research Institute, Indiana University Bloomington, Oregon Health & Science University, University of Minnesota, University of California, Santa Barbara, University of Washington, Child Mind Institute, Stanford University
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W3083046359