论文标题
一种快速的方法来估算患者特异性多尺度CFD主动脉流量模拟的Windkessel模型参数
A fast approach to estimating Windkessel model parameters for patient-specific multi-scale CFD simulations of aortic flow
论文作者
论文摘要
计算流体动力学（CFD）模拟中主动脉中的血液动力学可以提供有关相关心血管疾病的全面分析。将三元素Windkessel模型与患者特定的CFD模拟相结合以形成多尺度模型是一种捕获更现实的流场的趋势方法。但是，需要通过情况调整一组参数（例如R_C，R_P和C），以反映患者特定的流动条件。在这项研究中，我们提出了一种在生理和病理条件下估算这些参数的快速方法。该方法包括以下步骤：（1）使用稳定的CFD模拟找到每个分支的几何电阻； （2）使用模式搜索算法通过考虑几何电阻来求解流动电路系统来搜索参数空间； （3）使用优化的Windkessel模型参数对主动脉流进行多尺度建模。通过一系列数值实验来验证该方法，以显示其柔韧性和鲁棒性，包括从健康的主动脉几何形状或ste骨几何形状的每个下游分支的生理和病理流动分布。这项研究展示了一种捕获主动脉中患者特异性血液动力学特异性血液动力学的灵活和计算有效的方法，从而促进了主动脉流的个性化生物力学分析。
Hemodynamics in the aorta from computational fluid dynamics (CFD) simulations can provide a comprehensive analysis of relevant cardiovascular diseases. Coupling the three-element Windkessel model with the patient-specific CFD simulation to form a multi-scale model is a trending approach to capture more realistic flow fields. However, a set of parameters (e.g., R_c, R_p, and C) for the Windkessel model need to be tuned case by case to reflect patient-specific flow conditions. In this study, we propose a fast approach to estimating these parameters under both physiological and pathological conditions. The approach consists of the following steps: (1) finding geometric resistances for each branch using a steady CFD simulation; (2) using the pattern search algorithm to search the parameter spaces by solving the flow circuit system with the consideration of geometric resistances; (3) performing the multi-scale modeling of aortic flow with the optimized Windkessel model parameters. The method was validated through a series of numerical experiments to show its flexibility and robustness, including physiological and pathological flow distributions at each downstream branch from a healthy aortic geometry or a stenosed geometry. This study demonstrates a flexible and computationally efficient way to capture patient-specific hemodynamics in the aorta, facilitating the personalized biomechanical analysis of aortic flow.
