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在血液流变学模型中考虑停留时间:我们真的需要在大动脉中进行非牛顿血流建模吗?

Accounting for residence-time in blood rheology models: do we really need non-Newtonian blood flow modelling in large arteries?

机构信息

Department of Mechanical Engineering, Northern Arizona University, Flagstaff, AZ, USA

出版信息

J R Soc Interface. 2018 Sep 26;15(146):20180486. doi: 10.1098/rsif.2018.0486.

Abstract

Patient-specific computational fluid dynamics (CFD) is a promising tool that provides highly resolved haemodynamics information. The choice of blood rheology is an assumption in CFD models that has been subject to extensive debate. Blood is known to exhibit shear-thinning behaviour, and non-Newtonian modelling has been recommended for aneurysmal flows. Current non-Newtonian models ignore rouleaux formation, which is the key player in blood's shear-thinning behaviour. Experimental data suggest that red blood cell aggregation and rouleaux formation require notable red blood cell residence-time (RT) in a low shear rate regime. This study proposes a novel hybrid Newtonian and non-Newtonian rheology model where the shear-thinning behaviour is activated in high RT regions based on experimental data. Image-based abdominal aortic and cerebral aneurysm models are considered and highly resolved CFD simulations are performed using a minimally dissipative solver. Lagrangian particle tracking is used to define a backward particle RT measure and detect stagnant regions with increased rouleaux formation likelihood. Our novel RT-based non-Newtonian model shows a significant reduction in shear-thinning effects and provides haemodynamic results qualitatively identical and quantitatively close to the Newtonian model. Our results have important implications in patient-specific CFD modelling and suggest that non-Newtonian models should be revisited in large artery flows.

摘要

患者特定的计算流体动力学(CFD)是一种很有前途的工具,可以提供高度解析的血液动力学信息。CFD 模型中血液流变学的选择是一个假设,已经受到了广泛的争论。众所周知,血液表现出剪切稀化行为,因此建议对动脉瘤流动进行非牛顿建模。目前的非牛顿模型忽略了红细胞聚集和红细胞卷形成,而红细胞聚集和红细胞卷形成是血液剪切稀化行为的关键因素。实验数据表明,红细胞聚集和红细胞卷形成需要在低剪切速率下有显著的红细胞停留时间(RT)。本研究提出了一种新的牛顿-非牛顿混合流变学模型,该模型基于实验数据,在高 RT 区域激活剪切稀化行为。考虑了基于图像的腹主动脉瘤和脑动脉瘤模型,并使用最小耗散求解器进行了高度解析的 CFD 模拟。拉格朗日粒子跟踪用于定义反向粒子 RT 测量,并检测具有增加红细胞卷形成可能性的停滞区域。我们的新基于 RT 的非牛顿模型显示出剪切稀化效应的显著减少,并提供了定性相同且定量接近牛顿模型的血液动力学结果。我们的结果在患者特定的 CFD 建模中具有重要意义,并表明在大动脉流动中应该重新考虑非牛顿模型。

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