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dc.contributor.authorWang, Fuyixue
dc.contributor.authorBilgic, Berkin
dc.contributor.authorDong, Zijing
dc.contributor.authorManhard, Mary Kate
dc.contributor.authorOhringer, Ned
dc.contributor.authorZhao, Bo
dc.contributor.authorHaskell, Melissa
dc.contributor.authorCauley, Stephen F
dc.contributor.authorFan, Qiuyun
dc.contributor.authorWitzel, Thomas
dc.contributor.authorAdalsteinsson, Elfar
dc.contributor.authorWald, Lawrence L
dc.contributor.authorSetsompop, Kawin
dc.date.accessioned2021-10-27T20:10:00Z
dc.date.available2021-10-27T20:10:00Z
dc.date.issued2018
dc.identifier.urihttps://hdl.handle.net/1721.1/134949
dc.description.abstract© 2018 International Society for Magnetic Resonance in Medicine Purpose: To develop an efficient MR technique for ultra-high resolution diffusion MRI (dMRI) in the presence of motion. Methods: gSlider is an SNR-efficient high-resolution dMRI acquisition technique. However, subject motion is inevitable during a prolonged scan for high spatial resolution, leading to potential image artifacts and blurring. In this study, an integrated technique termed Motion Corrected gSlider (MC-gSlider) is proposed to obtain high-quality, high-resolution dMRI in the presence of large in-plane and through-plane motion. A motion-aware reconstruction with spatially adaptive regularization is developed to optimize the conditioning of the image reconstruction under difficult through-plane motion cases. In addition, an approach for intra-volume motion estimation and correction is proposed to achieve motion correction at high temporal resolution. Results: Theoretical SNR and resolution analysis validated the efficiency of MC-gSlider with regularization, and aided in selection of reconstruction parameters. Simulations and in vivo experiments further demonstrated the ability of MC-gSlider to mitigate motion artifacts and recover detailed brain structures for dMRI at 860 μm isotropic resolution in the presence of motion with various ranges. Conclusion: MC-gSlider provides motion-robust, high-resolution dMRI with a temporal motion correction sensitivity of 2 s, allowing for the recovery of fine detailed brain structures in the presence of large subject movements.
dc.language.isoen
dc.publisherWiley
dc.relation.isversionof10.1002/MRM.27196
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourcePMC
dc.titleMotion‐robust sub‐millimeter isotropic diffusion imaging through motion corrected generalized slice dithered enhanced resolution (MC‐gSlider) acquisition
dc.typeArticle
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technology
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Science
dc.relation.journalMagnetic Resonance in Medicine
dc.eprint.versionAuthor's final manuscript
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2020-11-20T16:53:11Z
dspace.orderedauthorsWang, F; Bilgic, B; Dong, Z; Manhard, MK; Ohringer, N; Zhao, B; Haskell, M; Cauley, SF; Fan, Q; Witzel, T; Adalsteinsson, E; Wald, LL; Setsompop, K
dspace.date.submission2020-11-20T16:53:18Z
mit.journal.volume80
mit.journal.issue5
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Needed


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