| dc.contributor.author | Wang, Fuyixue | |
| dc.contributor.author | Bilgic, Berkin | |
| dc.contributor.author | Dong, Zijing | |
| dc.contributor.author | Manhard, Mary Kate | |
| dc.contributor.author | Ohringer, Ned | |
| dc.contributor.author | Zhao, Bo | |
| dc.contributor.author | Haskell, Melissa | |
| dc.contributor.author | Cauley, Stephen F | |
| dc.contributor.author | Fan, Qiuyun | |
| dc.contributor.author | Witzel, Thomas | |
| dc.contributor.author | Adalsteinsson, Elfar | |
| dc.contributor.author | Wald, Lawrence L | |
| dc.contributor.author | Setsompop, Kawin | |
| dc.date.accessioned | 2021-10-27T20:10:00Z | |
| dc.date.available | 2021-10-27T20:10:00Z | |
| dc.date.issued | 2018 | |
| dc.identifier.uri | https://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.iso | en | |
| dc.publisher | Wiley | |
| dc.relation.isversionof | 10.1002/MRM.27196 | |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
| dc.source | PMC | |
| dc.title | Motion‐robust sub‐millimeter isotropic diffusion imaging through motion corrected generalized slice dithered enhanced resolution (MC‐gSlider) acquisition | |
| dc.type | Article | |
| dc.contributor.department | Harvard University--MIT Division of Health Sciences and Technology | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.contributor.department | Massachusetts Institute of Technology. Institute for Medical Engineering & Science | |
| dc.relation.journal | Magnetic Resonance in Medicine | |
| dc.eprint.version | Author's final manuscript | |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | |
| dc.date.updated | 2020-11-20T16:53:11Z | |
| dspace.orderedauthors | Wang, 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.submission | 2020-11-20T16:53:18Z | |
| mit.journal.volume | 80 | |
| mit.journal.issue | 5 | |
| mit.license | OPEN_ACCESS_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | |