Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Multiturn Planar Inductor for the Improvement of Signal-to-Noise Ratio Response in Magnetic Resonance Microscopy

Full metadata record
DC Field Value Language
dc.contributor.authorSong, Byung-Pan-
dc.contributor.authorKim, Hyeong-Seop-
dc.contributor.authorYoon, Sung-Jun-
dc.contributor.authorHernandez, Daniel-
dc.contributor.authorKim, Kyoung-Nam-
dc.contributor.authorLee, Seung-Kyun-
dc.date.accessioned2022-08-17T02:40:09Z-
dc.date.available2022-08-17T02:40:09Z-
dc.date.created2022-08-17-
dc.date.issued2022-07-
dc.identifier.issn2169-3536-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/85255-
dc.description.abstractIn 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.language영어-
dc.language.isoen-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.relation.isPartOfIEEE ACCESS-
dc.titleMultiturn Planar Inductor for the Improvement of Signal-to-Noise Ratio Response in Magnetic Resonance Microscopy-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000832964500001-
dc.identifier.doi10.1109/ACCESS.2022.3189992-
dc.identifier.bibliographicCitationIEEE ACCESS, v.10, pp.78643 - 78649-
dc.description.isOpenAccessY-
dc.identifier.scopusid2-s2.0-85134237743-
dc.citation.endPage78649-
dc.citation.startPage78643-
dc.citation.titleIEEE ACCESS-
dc.citation.volume10-
dc.contributor.affiliatedAuthorHernandez, Daniel-
dc.contributor.affiliatedAuthorKim, Kyoung-Nam-
dc.type.docTypeArticle-
dc.subject.keywordAuthorMagnetic resonance imaging (MRI)-
dc.subject.keywordAuthormicroscopy-
dc.subject.keywordAuthorsignal-to-noise ratio (SNR)-
dc.subject.keywordAuthorradiofrequency (RF)-
dc.subject.keywordAuthormultiturn planar inductor (MTPI)-
dc.subject.keywordPlusMRI-
dc.subject.keywordPlusCOILS-
dc.subject.keywordPlusRESOLUTION-
dc.subject.keywordPlusPLAQUES-
dc.subject.keywordPlusBRAIN-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaTelecommunications-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryTelecommunications-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
보건과학대학 > 의용생체공학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Kyoung Nam photo

Kim, Kyoung Nam
College of IT Convergence (의공학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE