QSIPrep: An Integrative Platform for Preprocessing and Reconstructing Diffusion MRI
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 21, 2021
- Accession Number
- AD1193777
Entities
People
- Adam Pines
- Adam Richie-Halford
- Allyson Mackey
- Anders Perrone
- Anisha Keshavan
- Ariel Rokem
- Azeez Adebimpe
- Barry Giesbrecht
- Bart Larsen
- Beatriz Luna
- Christos Davatzikos
- Damien Fair
- Danielle Bassett
- David R Roalf
- Desmond Oathes
- Eleftherios Garyfallidis
- Eric Earl
- Fang-Cheng Yeh
- Geoffrey Aguirre
- Jason Yeatman
- Jean M Vettel
- John Detre
- Josiane Bourque
- Laura Cabral
- Mark Elliot
- Matthew Cieslak
- Max B Kelz
- Michael P. Milham
- Panagiotis Fotiadis
- Philip Cook
- Raquel Gur
- Richard F Betzel
- Ruben Gur
- Scott T. Grafton
- Shreyas Fadnavis
- Theodore D Satterthwaite
- Thijs Dhollander
- Tinashe Tapera
- Ursula Tooley
- Valerie Sydnor
- Will Foran
- Xiaosong He
Organizations
- Child Mind Institute
- Indiana University
- Murdoch Children's Research Institute
- Oregon Health & Science University
- Stanford University
- United States Army Research Laboratory
- University of California, Santa Barbara
- University of Minnesota
- University of Pennsylvania
- University of Pittsburgh
- University of Washington