A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging.
HARDI
diffusion MRI
multi-shell
neonatal imaging
Journal
NMR in biomedicine
ISSN: 1099-1492
Titre abrégé: NMR Biomed
Pays: England
ID NLM: 8915233
Informations de publication
Date de publication:
09 2020
09 2020
Historique:
received:
18
06
2019
revised:
23
04
2020
accepted:
18
05
2020
pubmed:
8
7
2020
medline:
8
10
2021
entrez:
8
7
2020
Statut:
ppublish
Résumé
Diffusion MRI has the potential to provide important information about the connectivity and microstructure of the human brain during normal and abnormal development, noninvasively and in vivo. Recent developments in MRI hardware and reconstruction methods now permit the acquisition of large amounts of data within relatively short scan times. This makes it possible to acquire more informative multi-shell data, with diffusion sensitisation applied along many directions over multiple b-value shells. Such schemes are characterised by the number of shells acquired, and the specific b-value and number of directions sampled for each shell. However, there is currently no clear consensus as to how to optimise these parameters. In this work, we propose a means of optimising multi-shell acquisition schemes by estimating the information content of the diffusion MRI signal, and optimising the acquisition parameters for sensitivity to the observed effects, in a manner agnostic to any particular diffusion analysis method that might subsequently be applied to the data. This method was used to design the acquisition scheme for the neonatal diffusion MRI sequence used in the developing Human Connectome Project (dHCP), which aims to acquire high quality data and make it freely available to the research community. The final protocol selected by the algorithm, and currently in use within the dHCP, consists of 20 b=0 images and diffusion-weighted images at b = 400, 1000 and 2600 s/mm
Identifiants
pubmed: 32632961
doi: 10.1002/nbm.4348
pmc: PMC7116416
mid: EMS88518
doi:
Substances chimiques
Contrast Media
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e4348Subventions
Organisme : European Research Council
ID : 319456
Pays : International
Organisme : Department of Health
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 203148
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/N026063/1
Pays : United Kingdom
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 201374/Z/16/Z
Pays : United Kingdom
Informations de copyright
© 2020 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd.
Références
Neuroimage. 2016 Jul 1;134:365-385
pubmed: 27043358
Neuroimage. 2018 Jul 1;174:518-538
pubmed: 29544816
Med Image Anal. 2011 Aug;15(4):603-21
pubmed: 20685153
Magn Reson Imaging. 2000 Jul;18(6):671-9
pubmed: 10930776
Neuroimage. 2019 Jan 15;185:891-905
pubmed: 29578031
Neuroimage. 2013 Nov 1;81:335-346
pubmed: 23684865
IEEE Trans Med Imaging. 2019 Mar;38(3):834-843
pubmed: 30296214
Magn Reson Med. 2018 Mar;79(3):1276-1292
pubmed: 28557055
Magn Reson Med. 2013 Jun;69(6):1534-40
pubmed: 23625329
Neuroimage. 2014 Dec;103:411-426
pubmed: 25109526
Med Image Anal. 2014 Oct;18(7):1143-56
pubmed: 25047866
Semin Fetal Neonatal Med. 2006 Dec;11(6):489-97
pubmed: 16962837
Neuroimage. 2010 Jan 1;49(1):205-16
pubmed: 19732836
Med Image Anal. 2009 Oct;13(5):715-29
pubmed: 19665917
Hum Brain Mapp. 2005 Feb;24(2):144-55
pubmed: 15468122
Neuroimage. 2013 Sep;78:16-32
pubmed: 23587694
Neuroimage. 2013 Oct 15;80:125-43
pubmed: 23702418
Neuroimage. 2015 Nov 15;122:166-76
pubmed: 26236030
Neuroimage. 2018 Nov 15;182:360-369
pubmed: 28935239
Magn Reson Med. 1999 Sep;42(3):515-25
pubmed: 10467296
Neuroimage. 2017 Feb 1;146:507-517
pubmed: 27989845
Neuroimage. 2017 Feb 15;147:964-975
pubmed: 27746388
Hum Brain Mapp. 2013 Feb;34(2):327-46
pubmed: 23169482
Radiology. 2005 May;235(2):595-603
pubmed: 15858099
Cereb Cortex. 2008 Jun;18(6):1444-54
pubmed: 17934189
Neuroimage. 2015 Jan 1;104:241-52
pubmed: 25284306
NMR Biomed. 2016 Jan;29(1):33-47
pubmed: 26615981
Neuroimage. 2013 Jan 1;64:650-70
pubmed: 22963853
Magn Reson Med. 2016 Apr;75(4):1752-63
pubmed: 25974332
Neuroimage. 2005 Aug 15;27(2):357-67
pubmed: 15921931
IEEE Trans Med Imaging. 2010 Mar;29(3):819-29
pubmed: 20199917
Magn Reson Med. 2004 Dec;52(6):1358-72
pubmed: 15562495
Magn Reson Med. 2005 Jun;53(6):1432-40
pubmed: 15906300
Neuroimage. 2007 Jan 1;34(1):144-55
pubmed: 17070705
Neuroimage. 2007 Feb 15;34(4):1473-86
pubmed: 17188901
Med Image Anal. 2012 Aug;16(6):1113-20
pubmed: 22854036
Neuroimage. 2015 Sep;118:468-83
pubmed: 26091854
Magn Reson Med. 2019 Jun;81(6):3819-3825
pubmed: 30809854
Sci Rep. 2018 Oct 11;8(1):15138
pubmed: 30310108
Med Image Anal. 2015 Dec;26(1):316-31
pubmed: 26606457
NMR Biomed. 2010 Aug;23(7):711-24
pubmed: 20882537
Magn Reson Med. 2004 Nov;52(5):1052-9
pubmed: 15508157
Neuroimage. 2012 Jul 16;61(4):1000-16
pubmed: 22484410
Neuroimage. 2012 Feb 15;59(4):3976-94
pubmed: 22036682
Magn Reson Med. 2016 Jan;75(1):372-80
pubmed: 25735538
NMR Biomed. 2013 Dec;26(12):1775-86
pubmed: 24038308
Neuroimage. 2007 May 1;35(4):1459-72
pubmed: 17379540
Neuroimage. 2011 Sep 1;58(1):177-88
pubmed: 21699989
Neuroimage. 2016 Jul 15;135:345-62
pubmed: 26923372
Neuroimage. 2016 Jan 15;125:1063-1078
pubmed: 26481672
Magn Reson Med. 2006 Jul;56(1):104-17
pubmed: 16755539
Pediatr Radiol. 2013 Jan;43(1):15-27
pubmed: 23288475
Magn Reson Med. 2019 Jul;82(1):395-410
pubmed: 30865319
Med Image Anal. 2013 Jul;17(5):556-72
pubmed: 23602920
NMR Biomed. 1995 Nov-Dec;8(7-8):333-44
pubmed: 8739270
Magn Reson Med. 2004 Nov;52(5):965-78
pubmed: 15508168
Magn Reson Med. 2007 Sep;58(3):497-510
pubmed: 17763358
J Magn Reson. 2006 Sep;182(1):115-25
pubmed: 16828568
Neuroimage. 2012 Apr 2;60(2):1412-25
pubmed: 22270351