Multiturn Planar Inductor for the Improvement of Signal-to-Noise Ratio Response in Magnetic Resonance Microscopy
DC Field | Value | Language |
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dc.contributor.author | Song, Byung-Pan | - |
dc.contributor.author | Kim, Hyeong-Seop | - |
dc.contributor.author | Yoon, Sung-Jun | - |
dc.contributor.author | Hernandez, Daniel | - |
dc.contributor.author | Kim, Kyoung-Nam | - |
dc.contributor.author | Lee, Seung-Kyun | - |
dc.date.accessioned | 2022-08-17T02:40:09Z | - |
dc.date.available | 2022-08-17T02:40:09Z | - |
dc.date.created | 2022-08-17 | - |
dc.date.issued | 2022-07 | - |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/85255 | - |
dc.description.abstract | In this study, we propose a novel, multiturn histology coil for microscopic magnetic resonance (MR) imaging of histological tissue slices with substantially higher signal-to-noise-ratio (SNR) outcomes compared with previously developed coils. We performed electromagnetic simulations of the proposed coils and acquired MR images from a gelatin phantom and a rat brain slice with the implemented coils. The performances of the coils were evaluated by comparing the measured and simulated radio-frequency transmission (B-1(+)) fields in a flip-angle map form, and with low flip-angle gradient echo images to calculate the SNR increase as a function of the number of turns (n) of the coils. This study was performed on a 3 T MR imaging system. The proposed coil with n = 7 achieved SNR greater than 3.5 times that of a single-turn coil while preserving the highly uniform B-1(+) field across the imaging region. The proposed method provides new possibilities for high-resolution MR imaging of microscopic tissue samples for biomedical applications. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.relation.isPartOf | IEEE ACCESS | - |
dc.title | Multiturn Planar Inductor for the Improvement of Signal-to-Noise Ratio Response in Magnetic Resonance Microscopy | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000832964500001 | - |
dc.identifier.doi | 10.1109/ACCESS.2022.3189992 | - |
dc.identifier.bibliographicCitation | IEEE ACCESS, v.10, pp.78643 - 78649 | - |
dc.description.isOpenAccess | Y | - |
dc.identifier.scopusid | 2-s2.0-85134237743 | - |
dc.citation.endPage | 78649 | - |
dc.citation.startPage | 78643 | - |
dc.citation.title | IEEE ACCESS | - |
dc.citation.volume | 10 | - |
dc.contributor.affiliatedAuthor | Hernandez, Daniel | - |
dc.contributor.affiliatedAuthor | Kim, Kyoung-Nam | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Magnetic resonance imaging (MRI) | - |
dc.subject.keywordAuthor | microscopy | - |
dc.subject.keywordAuthor | signal-to-noise ratio (SNR) | - |
dc.subject.keywordAuthor | radiofrequency (RF) | - |
dc.subject.keywordAuthor | multiturn planar inductor (MTPI) | - |
dc.subject.keywordPlus | MRI | - |
dc.subject.keywordPlus | COILS | - |
dc.subject.keywordPlus | RESOLUTION | - |
dc.subject.keywordPlus | PLAQUES | - |
dc.subject.keywordPlus | BRAIN | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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