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

delete2021-06-21
delete112
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OA
AI
M
Matthew Cieslak
P
Philip A. Cook
贺小松 (Xiaosong He)
F
Fang‐Cheng Yeh
T
Thijs Dhollander
A
Azeez Adebimpe
G
Geoffrey K. Aguirre
D
Danielle S. Bassett
R
Richard F. Betzel
J
Josiane Bourque
L
Laura Cabral
C
Christos Davatzikos
J
John A. Detre
E
Eric Earl
M
Mark A. Elliott
S
Shreyas Fadnavis
D
Damien A. Fair
W
Will Foran
P
Panagiotis Fotiadis
E
Eleftherios Garyfallidis
B
Barry Giesbrecht
R
Ruben C. Gur
R
Raquel E. Gur
M
Max B. Kelz
A
Anisha Keshavan
B
Bart Larsen
B
Beatríz Luna
A
Allyson P. Mackey
M
Michael P. Milham
D
Desmond J. Oathes
A
Anders Perrone
A
Adam Pines
D
David R. Roalf
A
Adam Richie-Halford
A
Ariel Rokem
V
Valerie J. Sydnor
T
Tinashe M. Tapera
U
Ursula A. Tooley
J
Jean M. Vettel
J
Jason D. Yeatman
S
Scott T. Grafton
T
Theodore D. Satterthwaite *
DOI:10.1038/s41592-021-01185-5delete
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Abstract

Abstract

En 中文
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.
Keywords:
MAP-MRI
ATLAS
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Nature Methods cover
Nature Methods
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