ASLPrep: a platform for processing of arterial spin labeled MRI and quantification of regional brain perfusion

A. Adebimpe; M. Bertolero; S. Dolui; M. Cieslak; K. Murtha; E.B. Baller; B. Boeve; A. Boxer; E.R. Butler; P. Cook; S. Colcombe; S. Covitz; C. Davatzikos; D.G. Davila; M.A. Elliott; M.W. Flounders; A.R. Franco; R.E. Gur; R.C. Gur; B. Jaber; C. McMillian; L. Apostolova; B. Appleby; S. Barmada; Y. Bordelon; H. Botha; A. Bozoki; D. Brushaber; D. Clark; G. Coppola; R. Darby; D. Dickson; K. Domoto-Reilly; K. Faber; A. Fagan; J.A. Fields; T. Foroud; L.K. Forsberg; D. Geschwind; J. Goldman; D.R. Galasko; R. Gavrilova; T. Gendron; J. Graff-Radford; N. Graff-Radford; I.M. Grant; M. Grossman; M. Hall; E. Huang; H.W. Heuer; G.-Y.R. Hsiung; E.D. Huey; D. Irwin; D.T. Jones; K. Kantarci; D. Kaufer; D. Kerwin; D. Knopman; J. Kornak; J. Kramer; W. Kremers; M. Lapid; A.L. Lago; G. Leger; P. Ljubenkov; I. Litvan; D. Lucente; I.R. Mackenzie; J.C. Masdeu; S. McGinnis; M. Mendez; C. Mester; B.L. Miller; C. Onyike; M.B. Pascual; L. Petrucelli; P. Pressman; R. Rademakers; V. Ramanan; E.M. Ramos; M. Rao; K. Rascovsky; K.P. Rankin; A. Ritter; E.D. Roberson; J. Rojas-Martinez; H.J. Rosen; R. Savica; W. Seeley; J. Syrjanen; A.M. Staffaroni; M.C. Tartaglia; J. Taylor; L. VandeVrede; S. Weintraub; B. Wong; Z. Wszolek; M. Milham; H.J.M.M. Mutsaerts; D.J. Oathes; C.A. Olm; J.S. Phillips; W. Tackett; D.R. Roalf; T.M. Tapera; M.D. Tisdall; D. Zhou; O. Esteban; R.A. Poldrack; J.A. Detre; T.D. Satterthwaite

doi:10.1038/s41592-022-01458-7

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Journal article

ASLPrep: a platform for processing of arterial spin labeled MRI and quantification of regional brain perfusion

A. Adebimpe, M. Bertolero, S. Dolui, M. Cieslak, K. Murtha, E.B. Baller, B. Boeve, A. Boxer, E.R. Butler, P. Cook, …

Nature Methods, Vol.19(6), pp.683-686

2022

DOI: https://doi.org/10.1038/s41592-022-01458-7

PMID: 35689029

Abstract

Brain

Cerebrovascular Circulation

Humans

Magnetic Resonance Imaging

Perfusion

Spin Labels

spin label

arterial spin labeling

article

brain perfusion

human

nuclear magnetic resonance imaging

pipeline

Software

brain

brain circulation

diagnostic imaging

perfusion

procedures

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. © 2022, The Author(s), under exclusive licence to Springer Nature America, Inc.

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Title: ASLPrep: a platform for processing of arterial spin labeled MRI and quantification of regional brain perfusion
Creators: A. Adebimpe - Lifespan
M. Bertolero - University of Pennsylvania
S. Dolui - University of Pennsylvania
M. Cieslak - University of Pennsylvania
K. Murtha - University of Pennsylvania
E.B. Baller - University of Pennsylvania
B. Boeve - Mayo Clinic in Arizona
A. Boxer - University of California, San Francisco
E.R. Butler - University of Pennsylvania
P. Cook - University of Pennsylvania
S. Colcombe - Child Mind Institute
S. Covitz - Lifespan
C. Davatzikos - University of Pennsylvania
D.G. Davila - Lifespan
M.A. Elliott - University of Pennsylvania
M.W. Flounders - University of Pennsylvania
A.R. Franco - Child Mind Institute
R.E. Gur - University of Pennsylvania
R.C. Gur - Children's Hospital of Philadelphia
B. Jaber - Lifespan
C. McMillian - University of Pennsylvania
L. Apostolova - Indiana University – Purdue University Indianapolis
B. Appleby - Case Western Reserve University
S. Barmada - University of Michigan
Y. Bordelon - University of California, Los Angeles
H. Botha - Mayo Clinic in Arizona
A. Bozoki - University of North Carolina at Chapel Hill
D. Brushaber - Mayo Clinic in Arizona
D. Clark - Indiana University – Purdue University Indianapolis
G. Coppola - University of California, Los Angeles
R. Darby - Vanderbilt University
D. Dickson - WinnMed
K. Domoto-Reilly - University of Washington
K. Faber
A. Fagan - Washington University in St. Louis
J.A. Fields - Mayo Clinic in Arizona
T. Foroud - Indiana University – Purdue University Indianapolis
L.K. Forsberg - Mayo Clinic in Arizona
D. Geschwind - University of California, Los Angeles
J. Goldman - Columbia University
D.R. Galasko - University of California San Diego
R. Gavrilova - Mayo Clinic in Arizona
T. Gendron - WinnMed
J. Graff-Radford - Mayo Clinic in Arizona
N. Graff-Radford - WinnMed
I.M. Grant - University of British Columbia
M. Grossman - University of Pennsylvania
M. Hall - University of California, San Francisco
E. Huang - University of California, San Francisco
H.W. Heuer - University of California, San Francisco
G.-Y.R. Hsiung
E.D. Huey - Columbia University
D. Irwin - University of Pennsylvania
D.T. Jones - Mayo Clinic in Arizona
K. Kantarci - Mayo Clinic in Arizona
D. Kaufer - University of North Carolina at Chapel Hill
D. Kerwin - The University of Texas Southwestern Medical Center
D. Knopman - Mayo Clinic in Arizona
J. Kornak - University of California, San Francisco
J. Kramer - University of California, San Francisco
W. Kremers - Mayo Clinic in Arizona
M. Lapid - Mayo Clinic in Arizona
A.L. Lago - University of California, San Francisco
G. Leger - University of California San Diego
P. Ljubenkov - University of California, San Francisco
I. Litvan - University of California San Diego
D. Lucente - Massachusetts General Hospital
I.R. Mackenzie - University of British Columbia
J.C. Masdeu - Houston Methodist
S. McGinnis - Massachusetts General Hospital
M. Mendez - University of California, Los Angeles
C. Mester - Mayo Clinic in Arizona
B.L. Miller - University of California, San Francisco
C. Onyike - Johns Hopkins University
M.B. Pascual - Methodist Hospital
L. Petrucelli - WinnMed
P. Pressman - University of Colorado Boulder
R. Rademakers - University of Antwerp
V. Ramanan - Mayo Clinic in Arizona
E.M. Ramos - University of California, Los Angeles
M. Rao - Mayo Clinic in Arizona
K. Rascovsky - University of Pennsylvania
K.P. Rankin - University of California, San Francisco
A. Ritter - Cleveland Clinic
E.D. Roberson - University of Alabama at Birmingham
J. Rojas-Martinez - University of California, San Francisco
H.J. Rosen - University of California, San Francisco
R. Savica - Mayo Clinic in Arizona
W. Seeley - University of California, San Francisco
J. Syrjanen - Mayo Clinic in Arizona
A.M. Staffaroni - University of California, San Francisco
M.C. Tartaglia - University of Toronto
J. Taylor - University of California, San Francisco
L. VandeVrede - University of California, San Francisco
S. Weintraub
B. Wong - Massachusetts General Hospital
Z. Wszolek
M. Milham - Child Mind Institute
H.J.M.M. Mutsaerts
D.J. Oathes - University of Pennsylvania
C.A. Olm - University of Pennsylvania
J.S. Phillips - University of Pennsylvania
W. Tackett - University of Pennsylvania
D.R. Roalf - University of Pennsylvania
T.M. Tapera - Lifespan
M.D. Tisdall - University of Pennsylvania
D. Zhou - Lifespan
O. Esteban - Stanford University
R.A. Poldrack - Stanford University
J.A. Detre - University of Pennsylvania
T.D. Satterthwaite - Children's Hospital of Philadelphia
Publication Details: Nature Methods, Vol.19(6), pp.683-686
Publisher: Nature Research; BERLIN
Number of pages: 20
Grant note: Swiss National Science Foundation: 185872 Dutch Heart Foundation: 2020T049 Eurostars-2 joint programEuropean Union Horizon 2020 research and innovation program by the Netherlands Enterprise Agency (RvO): ASPIRE E!113701 EU Joint Program for Neurodegenerative Disease Research by the Netherlands Organization for health Research and DevelopmentAE foundationCenter for Biomedical Image Computing and Analytics (CBICA)Penn-CHOP Lifespan Brain Institute (LiBI)Alzheimer Nederland: DEBBIE JPND2020-568-106 National Institute of Biomedical Imaging and Bioengineering: R01EB022573 National Institute of Mental Health: R01MH112847, T32MH019112, R01MH113550, F31MH126569, R01MH119185, R01MH120174, R01MH123550, R01MH119219, R01MH120482, R01MH120811 National Institute on Aging: K01AG061277, P01AG066597, RF1AG054409, R01NS111115, P30AG072979, R01AG054519 National Institute on Aging; National Institute of Neurological Disorders and Stroke: U19AG063911
We acknowledge the support of the following grants: nos. RF1MH121867 (O.E., R.A.P., T.D.S., M.M.), R01MH120482 (T.D.S. and M.M.), R01EB022573 (C.D. and T.D.S.), F31MH126569 (D.Z.), R01MH123550 (T.D.S.), T32MH019112 (E.B.B. and R.E.G.), R01MH120811 (D.J.O.), R01MH112847 (T.D.S.), R01MH112070 (C.D.), RF1AG054409 (C.D.), U01AG052943 (C.M.), U19AG063911 (B.B. and H.R.), AG062422 (H.R.), AG045333 (H.R.), AG019724 (H.R.), P01AG066597 (C.M.), P41EB015893 (J.A.D.), R01MH111886 (D.J.O.), R01MH119219 (R.E.G. and R.C.G.), R01AG054519 (J.S.P.), K01AG061277 (J.S.P.), R01MH120174 (D.R.R.), R01MH119185 (D.R.R.), R03AG063213 (S.D.), R01NS111115 and P30AG072979 (J.A.D.), and the Swiss National Science Foundation - Ambizione 185872 (O.E.). Support was provided by the Dutch Heart Foundation (2020T049; H.J.M.M.M.), by the Eurostars-2 joint program (H.J.M.M.M.) with cofunding from the European Union Horizon 2020 research and innovation program (ASPIRE E!113701) provided by the Netherlands Enterprise Agency (RvO), the EU Joint Program for Neurodegenerative Disease Research provided by the Netherlands Organization for health Research and Development and Alzheimer Nederland (DEBBIE JPND2020-568-106; H.J.M.M.M.), and the AE foundation (T.D.S.). Additional support was provided by the Center for Biomedical Image Computing and Analytics (CBICA; A.A., M.C., T.D.S. and C.D.) the Penn-CHOP Lifespan Brain Institute (LiBI; T.D.S., R.C.G. and R.E.G.).
Comment: Export Date: 27 February 2026; Cited By: 26
Academic Unit: Level 02 - Executives; Executives; UMMG Department of Neurology
Resource Type: Journal article
PMID: 35689029
Record Identifier: 991032996203902976