Numerical and experimental investigation of pulsatile hemodynamics in the total cavopulmonary connection

被引:13
作者
Tang, Elaine [1 ]
Haggerty, Christopher M. [2 ,3 ]
Khiabani, Reza H. [2 ,3 ]
de Zelicourt, Diane [2 ,3 ]
Kanter, Jessica [2 ,3 ]
Sotiropoulos, Fotis [4 ]
Fogel, Mark A. [5 ]
Yoganathan, Ajit P. [2 ,3 ]
机构
[1] Georgia Inst Technol, Sch Chem & Biomol Engn, Atlanta, GA 30332 USA
[2] Georgia Inst Technol, Wallace H Coulter Dept Biomed Engn, Atlanta, GA 30332 USA
[3] Emory Univ, Atlanta, GA 30332 USA
[4] Univ Minnesota, Dept Civil Engn, Minneapolis, MN 55455 USA
[5] Childrens Hosp Philadelphia, Div Pediat Cardiol, Philadelphia, PA 19104 USA
关键词
Fontan procedure; Computational fluid dynamics; Digital particle image velocimetry; In vitro validation; PULMONARY ARTERIOVENOUS-MALFORMATIONS; SURGICAL REPAIR; CFD SIMULATIONS; FLOW; FONTAN; RESPIRATION; ANATOMIES; EXERCISE; BLOOD;
D O I
10.1016/j.jbiomech.2012.11.003
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
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. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:373 / 382
页数:10
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