A monopole and dipole hybrid antenna array for human brain imaging at 10.5 tesla
DC Field | Value | Language |
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dc.contributor.author | Woo, Myung Kyun | - |
dc.contributor.author | DelaBarre, L. | - |
dc.contributor.author | Waks, M. | - |
dc.contributor.author | Lagore, R. | - |
dc.contributor.author | Radder, J. | - |
dc.contributor.author | Jungst, S. | - |
dc.contributor.author | Kang, Chang-Ki | - |
dc.contributor.author | Ugurbil, K. | - |
dc.contributor.author | Adriany, G. | - |
dc.date.accessioned | 2022-09-11T02:40:06Z | - |
dc.date.available | 2022-09-11T02:40:06Z | - |
dc.date.created | 2022-09-03 | - |
dc.date.issued | 2022-09 | - |
dc.identifier.issn | 1536-1225 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/85448 | - |
dc.description.abstract | In this work, we evaluate antenna designs for ultra-high frequency and field (UHF) human brain magnetic resonance imaging (MRI) at 10.5 tesla (T). Although MRI at such UHF is expected to provide major signal-to-noise (SNR) gains, the frequency of interest, 447 MHz, presents us with challenges regarding improved B<sub>1</sub>+ efficiency, image homogeneity, specific absorption rate (SAR), and antenna element decoupling for array configurations. To address these challenges, we propose the use of both monopole and dipole antennas in a novel hybrid configuration, which we refer to as a mono-dipole hybrid antenna (MDH) array. Compared to an 8-channel dipole antenna array of the same dimensions, the 8-channel MDH array showed an improvement in decoupling between adjacent array channels, as well as ∼18% higher B<sub>1</sub>+ and SAR efficiency near the central region of the phantom based on simulation and experiment. However, the performances of the MDH and dipole antenna arrays were overall similar when evaluating a human model in terms of peak B<sub>1</sub>+ efficiency, 10 g SAR, and SAR efficiency. Finally, the concept of an MDH array showed an advantage in improved decoupling, SAR, and B<sub>1</sub>+ near the superior region of the brain for human brain imaging. Author | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.relation.isPartOf | IEEE Antennas and Wireless Propagation Letters | - |
dc.title | A monopole and dipole hybrid antenna array for human brain imaging at 10.5 tesla | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000849265800031 | - |
dc.identifier.doi | 10.1109/LAWP.2022.3183206 | - |
dc.identifier.bibliographicCitation | IEEE Antennas and Wireless Propagation Letters, v.21, no.9, pp.1857 - 1861 | - |
dc.description.isOpenAccess | Y | - |
dc.identifier.scopusid | 2-s2.0-85132739783 | - |
dc.citation.endPage | 1861 | - |
dc.citation.startPage | 1857 | - |
dc.citation.title | IEEE Antennas and Wireless Propagation Letters | - |
dc.citation.volume | 21 | - |
dc.citation.number | 9 | - |
dc.contributor.affiliatedAuthor | Kang, Chang-Ki | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Antenna arrays | - |
dc.subject.keywordAuthor | dipole antenna | - |
dc.subject.keywordAuthor | Dipole antennas | - |
dc.subject.keywordAuthor | human brain imaging | - |
dc.subject.keywordAuthor | Magnetic resonance imaging | - |
dc.subject.keywordAuthor | monopole antenna | - |
dc.subject.keywordAuthor | multi-channel array | - |
dc.subject.keywordAuthor | Neuroimaging | - |
dc.subject.keywordAuthor | Phantoms | - |
dc.subject.keywordAuthor | Radio frequency | - |
dc.subject.keywordAuthor | UHF antennas | - |
dc.subject.keywordAuthor | ultra-high field imaging | - |
dc.subject.keywordPlus | TRANSMISSION-LINE ARRAY | - |
dc.subject.keywordPlus | FLIP-ANGLE | - |
dc.subject.keywordPlus | HEAD | - |
dc.subject.keywordPlus | MRI | - |
dc.subject.keywordPlus | DESIGN | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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