Outflow Conditions for Image-Based Hemodynamic Models of the Carotid Bifurcation: Implications for Indicators of Abnormal Flow

摘要: Computational fluid dynamics (CFD) models have become very effective tools for predicting the flow field within carotid bifurcation, and understanding relationship between local hemodynamics, initiation progression of vascular wall pathologies. As prescribing proper boundary conditions can affect solutions equations governing blood flow, in this study, we investigated influence to assumptions regarding outflow an image-based CFD model human bifurcation. Four simulations were conducted with identical geometry, inlet rate, parameters. In first case, a physiological time-varying rate partition at branches along cardiac cycle was obtained by coupling 3D bifurcation outlets lumped-parameter downstream network. Results from coupled compared those imposing three fixed divisions (50/50, 60/40, 70/30) two isolated Three hemodynamic parameters considered as indicators dysfunction. Our findings underscore that overall effect done order simulate is mainly hot-spot modulation descriptors atherosusceptible areas, rather than their distribution. particular, more physiological, division deriving simulation has damping shear stress (WSS) oscillations (differences among are up 37.3% oscillating index). conclusion, recommend adopt realistic constraints, example, different scales, when objective outcome prediction alternate therapeutic interventions individual patients, or test hypotheses related role other biomechanical factors diseases.