A patient-specific modelling method of blood circulatory system for the numerical simulation of enhanced external counterpulsation

Bao Li; Hui Wang; Gaoyang Li; Jian Liu; Zhe Zhang; Kaiyun Gu; Haisheng Yang; Aike Qiao; Jianhang Du; Youjun Liu

doi:10.1016/j.jbiomech.2020.110002

A patient-specific modelling method of blood circulatory system for the numerical simulation of enhanced external counterpulsation

J Biomech. 2020 Oct 9:111:110002. doi: 10.1016/j.jbiomech.2020.110002. Epub 2020 Aug 20.

Authors

Bao Li¹, Hui Wang², Gaoyang Li³, Jian Liu⁴, Zhe Zhang⁵, Kaiyun Gu⁵, Haisheng Yang⁶, Aike Qiao⁶, Jianhang Du², Youjun Liu⁷

Affiliations

¹ Department of Biomedical Engineering, College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China. Electronic address: lbfengchi@emails.bjut.edu.cn.
² The Eighth Affiliated Hospital, Sun Yat-sen University, ShenZhen, GuangDong, China.
³ Institute of Fluid Science, Tohoku University, Sendai, Miyagi, Japan.
⁴ Peking University People's Hospital, Beijing, China.
⁵ Peking University Third Hospital, Beijing, China.
⁶ Department of Biomedical Engineering, College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China.
⁷ Department of Biomedical Engineering, College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China. Electronic address: lyjlma@bjut.edu.cn.

PMID: 32898825
DOI: 10.1016/j.jbiomech.2020.110002

Abstract

Lumped parameter model (LPM) is a common numerical model for hemodynamic simulation of human's blood circulatory system. The numerical simulation of enhanced external counterpulsation (EECP) is a typical biomechanical simulation process based on the LPM of blood circulatory system. In order to simulate patient-specific hemodynamic effects of EECP and develop best treatment strategy for each individual, this study developed an optimization algorithm to individualize LPM elements. Physiological data from 30 volunteers including approximate aortic pressure, cardiac output, ankle pressure and carotid artery flow were clinically collected as optimization objectives. A closed-loop LPM was established for the simulation of blood circulatory system. Aiming at clinical data, a sensitivity analysis for each element was conducted to identify the significant ones. We improved the traditional simulated annealing algorithm to iteratively optimize the sensitive elements. To verify the accuracy of the patient-specific model, 30 samples of simulated data were compared with clinical measurements. In addition, an EECP experiment was conducted on a volunteer to verify the applicability of the optimized model for the simulation of EECP. For these 30 samples, the optimization results show a slight difference between clinical data and simulated data. The average relative root mean square error is lower than 5%. For the subject of EECP experiment, the relative error of hemodynamic responses during EECP is lower than 10%. This slight error demonstrated a good state of optimization. The optimized modeling algorithm can effectively individualize the LPM for blood circulatory system, which is significant to the numerical simulation of patient-specific hemodynamics.

Keywords: Blood circulatory system; Enhanced external counterpulsation; Lumped parameter model; Optimization algorithm; Patient-specific modelling.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Cardiovascular System*
Computer Simulation
Counterpulsation*
Hemodynamics
Humans
Patient-Specific Modeling