Prospective motion detection and re-acquisition in diffusion MRI using a phase image-based method-Application to brain and tongue imaging.
brain
diffusion MRI
motion artifacts
prospective motion correction
tongue
tractography
Journal
Magnetic resonance in medicine
ISSN: 1522-2594
Titre abrégé: Magn Reson Med
Pays: United States
ID NLM: 8505245
Informations de publication
Date de publication:
08 2021
08 2021
Historique:
revised:
22
01
2021
received:
01
10
2020
accepted:
23
01
2021
pubmed:
6
3
2021
medline:
21
5
2021
entrez:
5
3
2021
Statut:
ppublish
Résumé
To develop an image-based motion-robust diffusion MRI (dMRI) acquisition framework that is able to minimize motion artifacts caused by rigid and nonrigid motion, applicable to both brain and tongue dMRI. We developed a novel prospective motion-correction technique in dMRI using a phase image-based real-time motion-detection method (PITA-MDD) with re-acquisition of motion-corrupted images. The prospective PITA-MDD acquisition technique was tested in the brains and tongues of volunteers. The subjects were instructed to move their heads or swallow, to induce motion. Motion-detection efficacy was validated against visual inspection as the gold standard. The effect of the PITA-MDD technique on diffusion-parameter estimates was evaluated by comparing reconstructed fiber tracts using tractography with and without re-acquisition. The prospective PITA-MDD technique was able to effectively and accurately detect motion-corrupted data as compared with visual inspection. Tractography results demonstrated that PITA-MDD motion detection followed by re-acquisition helps in recovering lost and misshaped fiber tracts in the brain and tongue that would otherwise be corrupted by motion and yield erroneous estimates of the diffusion tensor. A prospective PITA-MDD technique was developed for dMRI acquisition, providing improved dMRI image quality and motion-robust diffusion estimation of the brain and tongue.
Identifiants
pubmed: 33665929
doi: 10.1002/mrm.28729
pmc: PMC9169515
mid: NIHMS1751977
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
725-737Subventions
Organisme : NIDCD NIH HHS
ID : R01 DC014717
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS105503
Pays : United States
Organisme : NCRR NIH HHS
ID : S10 RR019214
Pays : United States
Informations de copyright
© 2021 International Society for Magnetic Resonance in Medicine.
Références
Biomech Model Mechanobiol. 2018 Aug;17(4):1119-1130
pubmed: 29675685
NMR Biomed. 2019 Apr;32(4):e3785
pubmed: 28945294
Magn Reson Med. 2011 Aug;66(2):366-78
pubmed: 21432898
J Magn Reson Imaging. 2007 Sep;26(3):654-61
pubmed: 17685446
Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2009 Mar;107(3):e57-63
pubmed: 19217012
Pediatr Radiol. 2010 Mar;40(3):340-4
pubmed: 20066407
Magn Reson Imaging. 2019 Oct;62:228-241
pubmed: 31319127
Neuroimage. 2016 Nov 1;141:556-572
pubmed: 27393418
Magn Reson Med. 2011 Jul;66(1):154-67
pubmed: 21695721
Med Image Anal. 2011 Oct;15(5):708-19
pubmed: 21708477
J Magn Reson Imaging. 2006 Sep;24(3):478-88
pubmed: 16897692
Magn Reson Med. 2012 Oct;68(4):1097-108
pubmed: 22246720
Mymensingh Med J. 2014 Jul;23(3):621-35
pubmed: 25178625
Magn Reson Med. 2014 Jun;71(6):2006-13
pubmed: 23821373
Comput Med Imaging Graph. 2015 Oct;45:63-74
pubmed: 26296155
J Magn Reson Imaging. 2001 Apr;13(4):486-95
pubmed: 11276093
Magn Reson Med. 2012 Feb;67(2):326-38
pubmed: 22161984
Magn Reson Med. 2002 Oct;48(4):577-82
pubmed: 12353272
J Magn Reson Imaging. 2019 Jul;50(1):96-105
pubmed: 30648339
Magn Reson Med. 2004 Dec;52(6):1358-72
pubmed: 15562495
Neuroimage. 2006 Jul 1;31(3):1038-50
pubmed: 16600642
Neuroimage. 2016 Jan 15;125:1063-1078
pubmed: 26481672
Ann Neurol. 1999 Feb;45(2):265-9
pubmed: 9989633