| dc.contributor.author | Serrallés, José E.C. | |
| dc.contributor.author | Daniel, Luca | |
| dc.contributor.author | White, Jacob K. | |
| dc.date.accessioned | 2021-03-04T12:21:37Z | |
| dc.date.available | 2021-03-04T12:21:37Z | |
| dc.date.issued | 2019-07 | |
| dc.identifier.isbn | 9781728106922 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/130074 | |
| dc.description.abstract | We simulated a Global Maxwell Tomography experiment for the estimation of electrical properties in a numerical tissue-mimicking phantom using a decoupled 8 channel radiofrequency coil designed for 7 Tesla magnetic resonance scanners. The goal of this work was to investigate whether the orthogonality of the coil's transmit fields (b1+ measurements) is required to ensure accurate results. We demonstrated a normalized root mean squared error smaller than 0.6% with respect to the true electrical properties distribution. Our results showed that electrical properties reconstruction with Global Maxwell Tomography is accurate and robust. | en_US |
| dc.description.sponsorship | National Science Foundation (U.S.) (Grant NSF 1453675) | en_US |
| dc.language.iso | en | |
| dc.publisher | IEEE | en_US |
| dc.relation.isversionof | 10.1109/APUSNCURSINRSM.2019.8889009 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | Other repository | en_US |
| dc.title | Global maxwell tomography using an 8-channel radiofrequency coil: Simulation results for a tissue-mimicking phantom at 7T | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Giannakopoulos, Ilias I. et al. “Global maxwell tomography using an 8-channel radiofrequency coil: Simulation results for a tissue-mimicking phantom at 7T.” Paper presented in 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Atlanta, GA, 7-12 July 2019, IEEE © 2019 The Author(s) | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
| dc.relation.journal | 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2020-12-07T16:30:49Z | |
| dspace.orderedauthors | Giannakopoulos, II; Serralles, JEC; Zhang, B; Daniel, L; White, JK; Lattanzi, R | en_US |
| dspace.date.submission | 2020-12-07T16:30:52Z | |
| mit.journal.volume | 2019 | en_US |
| mit.license | OPEN_ACCESS_POLICY | |
| mit.metadata.status | Complete | |
