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理想左心房模型的边界条件分析。

Boundary-Condition Analysis of an Idealized Left Atrium Model.

机构信息

Departamento de Ingeniería Energética, Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, C/ José Gutiérrez Abascal 2, 28006, Madrid, Spain.

Departamento de Ingeniería Energética y Fluidomecánica, Escuela de Ingenierías Industriales, Universidad de Valladolid, Paseo del Cauce 59, 47011, Valladolid, Spain.

出版信息

Ann Biomed Eng. 2021 Jun;49(6):1507-1520. doi: 10.1007/s10439-020-02702-x. Epub 2021 Jan 5.

Abstract

The most common type of cardiac arrhythmia is atrial fibrillation (AF), which is characterised by irregular and ineffective atrial contraction. This behaviour results into the formation of thrombi, mainly in the left atrial appendage (LAA), responsible for thromboembolic events. Very different approaches are considered as therapy for AF patients. Therefore, it is necessary to yield insight into the flow physics of thrombi formation to determine which is the most appropriate strategy in each case. Computational Fluid Dynamics (CFD) has proven successful in getting a better understanding of the thrombosis phenomenon, but it still requires validation by means of accurate flow field in vivo atrial measurements. As an alternative, in this paper it is proposed an in vitro flow validation, consisting in an idealised model that captures the main flow features observed in the human LA which, once combined with Particle Image Velocimetry (PIV) measurements, provides readily accessible, easy to emulate, detailed velocity fields. These results have been used to validate our laminar and Large Eddy Simulation (LES) simulations. Besides, we have run a parametric study of different boundary conditions sets previously employed in the literature. These data can be used as a benchmark for further development of LA CFD models.

摘要

最常见的心律失常类型是心房颤动 (AF),其特征是心房收缩不规则和无效。这种行为会导致血栓形成,主要在左心耳 (LAA),这是血栓栓塞事件的罪魁祸首。对于 AF 患者,有非常不同的治疗方法。因此,有必要深入了解血栓形成的流动物理学,以确定在每种情况下哪种策略最合适。计算流体动力学 (CFD) 已被证明可以更好地理解血栓形成现象,但仍需要通过准确的体内心房流量测量进行验证。作为替代方案,本文提出了一种体外流量验证,包括一个理想化模型,该模型捕捉了在人体左心房中观察到的主要流动特征,该模型与粒子图像测速 (PIV) 测量相结合,提供了易于访问、易于模拟、详细的速度场。这些结果已用于验证我们的层流和大涡模拟 (LES) 模拟。此外,我们还对文献中先前使用的不同边界条件集进行了参数研究。这些数据可作为进一步开发左心房 CFD 模型的基准。

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