Open Access

ARTICLE

A Fast-Fractional Flow Reserve Simulation Method in A Patient with Coronary Stenosis Based on Resistance Boundary Conditions

Wenxin Wang^1,2, Dalin Tang², Boyan Mao¹, Bao Li¹, Xi Zhao³, Jian Liu⁴, Youjun Liu^1,*

1 College of Life Science and Bioengineering, Beijing University of Technology, No. 100 Pingleyuan, Chaoyang District, Beijing, 100124, China.
2 Mathematical Science, Worcester Polytechnic Institute, No. 100 Institute Road, Worcester, 01609, MA, US.
3 Shanghai United Imaging, Healthcare Co., Ltd., No. 2258 Chengbei Rd., Jiading District, Shanghai, China.
4 Department of Cardiology, Peking University People’s Hospital, No. 133 Xizhimen South Street, Xicheng District, Beijing, China.

*Corresponding Author: Youjun Liu. Email: .

(This article belongs to the Special Issue: Innovations and Current Trends in Computational Cardiovascular Modeling: Molecular, Cellular, Tissue and Organ Biomechanics with Clinical Applications)

Computer Modeling in Engineering & Sciences 2018, 116(2), 163-173. https://doi.org/10.31614/cmes.2018.04219

Abstract

Fractional flow reserve (FFR) is the gold standard to identify individual stenosis causing myocardial ischemia in catheter laboratory. The purpose of this study is to present a fast simulation method to estimate FFR value of a coronary artery, which can evaluate the performance of vascular stenosis, based on resistance boundary conditions. A patient-specific 3-dimensional (3D) model of the left coronary system with intermediate diameter stenosis was reconstructed based on the CTA images. The resistance boundary conditions used to simulate the coronary microcirculation were computed based on anatomical reconstruction of coronary 3D model. This study was performed by coupling the 3D coronary tree model with the lumped parameter model (0D model). The flow rate and pressure of coronary tree were calculated in twenty minutes. In addition, the effect of inlet pressure and myocardial mass on FFRss values has been investigated. The results showed that the effect of myocardial mass was greater than the effect of inlet pressure on FFRss. This FFRss simulation method can quickly and accurately assess the influence of coronary stenosis in aid clinical diagnosis.

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Keywords

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