Numerical investigation of carotid stenosis in three-dimensional aortic-cerebral vasculature: pulsatility index, resistive index, time to peak velocity, and flow characteristics
- Authors
- Kang, Taehak; Mukherjee, Debanjan; Ryu, Jaiyoung
- Issue Date
- 1-Jan-2021
- Publisher
- TAYLOR & FRANCIS LTD
- Keywords
- Carotid stenosis (CS); circle of Willis (CoW); pulsatility index (PI); resistive index (RI); time to peak velocity (TPV); regression model
- Citation
- ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS, v.15, no.1, pp 1645 - 1665
- Pages
- 21
- Journal Title
- ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS
- Volume
- 15
- Number
- 1
- Start Page
- 1645
- End Page
- 1665
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/51336
- DOI
- 10.1080/19942060.2021.1984993
- ISSN
- 1994-2060
1997-003X
- 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.
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Collections - College of Engineering > School of Mechanical Engineering > 1. Journal Articles
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