Back to Search Start Over

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

Authors :
Valerie J. Sydnor
Eleftherios Garyfallidis
Matthew Cieslak
Raquel E. Gur
Xiaosong He
Scott T. Grafton
John A. Detre
Jason D. Yeatman
David R. Roalf
Theodore D. Satterthwaite
Barry Giesbrecht
Shreyas Fadnavis
Philip A. Cook
Michael P. Milham
Christos Davatzikos
Richard F. Betzel
Anders Perrone
Damien A. Fair
Danielle S. Bassett
Jean M. Vettel
Ariel Rokem
Eric Earl
Geoffrey K. Aguirre
Bart Larsen
Will Foran
Desmond J. Oathes
Azeez Adebimpe
Panagiotis Fotiadis
Ursula A. Tooley
Fang-Cheng Yeh
Thijs Dhollander
Laura M. Cabral
Tinashe M. Tapera
Josiane Bourque
Max B. Kelz
Adam Richie-Halford
Mark A. Elliott
Ruben C. Gur
Beatriz Luna
Adam Pines
Anisha Keshavan
Allyson P. Mackey
Source :
Nat Methods, Nature methods, vol 18, iss 7
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

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. QSIPrep is a software platform for processing of most diffusion MRI datasets and ensures that adequate workflows are used.

Details

ISSN :
15487105 and 15487091
Volume :
18
Database :
OpenAIRE
Journal :
Nature Methods
Accession number :
edsair.doi.dedup.....3dc4798f9cfce53bab6ffa33305cb90a
Full Text :
https://doi.org/10.1038/s41592-021-01185-5