School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States.
J Biomech. 2013 Jan 18;46(2):373-82. doi: 10.1016/j.jbiomech.2012.11.003. Epub 2012 Nov 30.
Computational fluid dynamics (CFD) tools have been extensively applied to study the hemodynamics in the total cavopulmonary connection (TCPC) in patients with only a single functioning ventricle. Without the contraction of a sub-pulmonary ventricle, pulsatility of flow through this connection is low and variable across patients, which is usually neglected in most numerical modeling studies. Recent studies suggest that such pulsatility can be non-negligible and can be important in hemodynamic predictions. The goal of this work is to compare the results of an in-house numerical methodology for simulating pulsatile TCPC flow with experimental results. Digital particle image velocimetry (DPIV) was acquired on TCPC in vitro models to evaluate the capability of the CFD tool in predicting pulsatile TCPC flow fields. In vitro hemodynamic measurements were used to compare the numerical prediction of power loss across the connection. The results demonstrated the complexity of the pulsatile TCPC flow fields and the validity of the numerical approach in simulating pulsatile TCPC flow dynamics in both idealized and complex patient specific models.
计算流体动力学(CFD)工具已广泛应用于研究单功能心室患者的全腔肺动脉连接(TCPC)中的血液动力学。由于没有肺下腔室的收缩,通过该连接的血流搏动在患者之间较低且变化,这在大多数数值建模研究中通常被忽略。最近的研究表明,这种搏动可能不可忽略,并且在血液动力学预测中很重要。这项工作的目的是将模拟搏动 TCPC 流量的内部数值方法的结果与实验结果进行比较。采用数字粒子图像测速(DPIV)在 TCPC 体外模型上进行采集,以评估 CFD 工具在预测搏动 TCPC 流场方面的能力。体外血液动力学测量用于比较连接功率损耗的数值预测。结果表明,搏动 TCPC 流场的复杂性以及数值方法在模拟理想化和复杂患者特定模型中的搏动 TCPC 流动力学方面的有效性。