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Novel Technique to Measure Pulse Wave Velocity in Brain Vessels Using a Fast Simultaneous Multi-Slice Excitation Magnetic Resonance Sequence

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dc.contributor.authorJung, Ju-Yeon-
dc.contributor.authorLee, Yeong-Bae-
dc.contributor.authorKang, Chang-Ki-
dc.date.accessioned2021-10-30T06:40:34Z-
dc.date.available2021-10-30T06:40:34Z-
dc.date.created2021-09-30-
dc.date.issued2021-10-
dc.identifier.issn1424-8220-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/82541-
dc.description.abstractIn this study, we proposed a novel pulse wave velocity (PWV) technique to determine cerebrovascular stiffness using a 3-tesla magnetic resonance imaging (MRI) to overcome the vari-ous shortcomings of existing PWV techniques for cerebral-artery PWV, such as long scan times and complicated procedures. The technique was developed by combining a simultaneous multi-slice (SMS) excitation pulse sequence with keyhole acquisition and reconstruction (SMS-K). The SMS-K technique for cerebral-artery PWV was evaluated using phantom and human experiments. In the results, common and internal carotid arteries (CCA and ICA) were acquired simultaneously in an image with a high temporal resolution-of 48 ms for one measurement. Vascular signals at 500 time points acquired within 30 s could generate pulse waveforms of CCA and ICA with 26 heartbeats, allowing for the detection of PWV changes over time. The results demonstrated that the SMS-K technique could provide more PWV information with a simple procedure within a short period of time. The procedural convenience and advantages of PWV measurements will make it more ap-propriate for clinical applications. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.-
dc.language영어-
dc.language.isoen-
dc.publisherMDPI-
dc.relation.isPartOfSensors-
dc.titleNovel Technique to Measure Pulse Wave Velocity in Brain Vessels Using a Fast Simultaneous Multi-Slice Excitation Magnetic Resonance Sequence-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000707809700001-
dc.identifier.doi10.3390/s21196352-
dc.identifier.bibliographicCitationSensors, v.21, no.19-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-85115421503-
dc.citation.titleSensors-
dc.citation.volume21-
dc.citation.number19-
dc.contributor.affiliatedAuthorJung, Ju-Yeon-
dc.contributor.affiliatedAuthorLee, Yeong-Bae-
dc.contributor.affiliatedAuthorKang, Chang-Ki-
dc.type.docTypeArticle-
dc.subject.keywordAuthorKeyhole technique-
dc.subject.keywordAuthorMagnetic resonance imaging-
dc.subject.keywordAuthorPulse wave velocity-
dc.subject.keywordAuthorSimultaneous multi-slice-
dc.subject.keywordAuthorStroke-
dc.subject.keywordPlusHemodynamics-
dc.subject.keywordPlusMagnetic resonance imaging-
dc.subject.keywordPlusMagnetism-
dc.subject.keywordPlusResonance-
dc.subject.keywordPlusWave propagation-
dc.subject.keywordPlusBrain vessels-
dc.subject.keywordPlusCerebral arteries-
dc.subject.keywordPlusExcitation pulse-
dc.subject.keywordPlusKeyhole technique-
dc.subject.keywordPlusMulti slices-
dc.subject.keywordPlusNovel techniques-
dc.subject.keywordPlusPulse-wave velocity-
dc.subject.keywordPlusScan time-
dc.subject.keywordPlusSimultaneous multi-slice-
dc.subject.keywordPlusStroke-
dc.subject.keywordPlusAcoustic wave velocity-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaInstruments & Instrumentation-
dc.relation.journalWebOfScienceCategoryChemistry, Analytical-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryInstruments & Instrumentation-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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