Numerical investigation of carotid stenosis in three-dimensional aortic-cerebral vasculature: pulsatility index, resistive index, time to peak velocity, and flow characteristics
DC Field | Value | Language |
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dc.contributor.author | Kang, Taehak | - |
dc.contributor.author | Mukherjee, Debanjan | - |
dc.contributor.author | Ryu, Jaiyoung | - |
dc.date.accessioned | 2021-11-12T06:40:28Z | - |
dc.date.available | 2021-11-12T06:40:28Z | - |
dc.date.issued | 2021-01-01 | - |
dc.identifier.issn | 1994-2060 | - |
dc.identifier.issn | 1997-003X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/51336 | - |
dc.description.abstract | Haemodynamic correlations among the pulsatility index (PI), resistive index (RI), time to peak velocity (TPV), and mean Reynolds number (Re-Mean) were numerically investigated during the progression of carotid stenosis (CS), a highly prevalent condition. Fifteen patient-specific CS cases were modeled in the package, SimVascular, by using computed tomography angiography data for the aortic-cerebral vasculature. Computational fluid domains were solved with a stabilized Petrov-Galerkin scheme under Newtonian and incompressible assumptions. A rigid vessel wall was assumed, and the boundary conditions were pulsatile inflow and three-element lumped Windkessel outlets. During the progression, the increase in the TPV resembled that during aortic stenosis, and the parameter was negatively correlated with PI, RI, and Re-Mean in the ipsilateral cerebral region. The Re-Mean was inversely related to PI and RI on the contralateral side. In particular, PI and RI in cerebral arteries showed three second-order regression patterns: 'constant (Group A)', 'moderately decreasing (Group B)', and 'decreasing (Group C)'. The patterns were defined using a new parameter, mean ratio (lowest mean index/mean index at 0% CS). This parameter could effectively indicate stenosis-driven tendencies in local haemodynamics. Overall, the haemodynamic indices changed drastically during severe unilateral CS, and they reflected both regional and aortic-cerebral flow characteristics. | - |
dc.format.extent | 21 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | TAYLOR & FRANCIS LTD | - |
dc.title | Numerical investigation of carotid stenosis in three-dimensional aortic-cerebral vasculature: pulsatility index, resistive index, time to peak velocity, and flow characteristics | - |
dc.type | Article | - |
dc.identifier.doi | 10.1080/19942060.2021.1984993 | - |
dc.identifier.bibliographicCitation | ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS, v.15, no.1, pp 1645 - 1665 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000712070600001 | - |
dc.identifier.scopusid | 2-s2.0-85118768487 | - |
dc.citation.endPage | 1665 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 1645 | - |
dc.citation.title | ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS | - |
dc.citation.volume | 15 | - |
dc.type.docType | Article | - |
dc.publisher.location | 영국 | - |
dc.subject.keywordAuthor | Carotid stenosis (CS) | - |
dc.subject.keywordAuthor | circle of Willis (CoW) | - |
dc.subject.keywordAuthor | pulsatility index (PI) | - |
dc.subject.keywordAuthor | resistive index (RI) | - |
dc.subject.keywordAuthor | time to peak velocity (TPV) | - |
dc.subject.keywordAuthor | regression model | - |
dc.subject.keywordPlus | FINITE-ELEMENT METHODS | - |
dc.subject.keywordPlus | ARTERY BLOOD-FLOW | - |
dc.subject.keywordPlus | LENTICULOSTRIATE ARTERIES | - |
dc.subject.keywordPlus | WILLIS | - |
dc.subject.keywordPlus | CIRCLE | - |
dc.subject.keywordPlus | PROGRESSION | - |
dc.subject.keywordPlus | HEMODYNAMICS | - |
dc.subject.keywordPlus | RISK | - |
dc.subject.keywordPlus | SIMULATIONS | - |
dc.subject.keywordPlus | PREDICTION | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Mechanics | - |
dc.relation.journalWebOfScienceCategory | Engineering, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Engineering, Mechanical | - |
dc.relation.journalWebOfScienceCategory | Mechanics | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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