Boyan Mao
Beijing University of Technology
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Featured researches published by Boyan Mao.
Journal of Mechanics in Medicine and Biology | 2017
Lanlan Li; Youjun Liu; Xi Zhao; Boyan Mao; Huixia Zhang
Background and Aims: Competitive flow exists in the native coronary artery when using artery graft in the coronary artery bypass graft (CABG), and it is a major factor affecting the long-term patency of the arterial grafts. The purpose of this study is to investigate the effects of the competitive flow on hemodynamic characteristics of left internal mammary artery (LIMA). Materials and methods: Seven three-dimensional (3D) LIMA- left anterior decending (LAD) grafting models with different diameter stenosis at the trunk of LAD were reconstructed, including 25%, 40%, 50%, 60%, 75%, 90% and 100%. The boundary conditions of these models were provided by the same lumped parameter model (LPM; 0D sub-model) of cardiovascular circulatory system, which is based on 0D/3D coupling method. Results: The simulation results show that competitive flow decreases when the stenosis rate increases and backflow exists in LIMA during systole when the degree of stenosis is below 50%; the wall shear stress (WSS) of the graft increases from 0.85Pa to 1.79Pa with the increase of the native coronary stenosis degree, while the oscillatory shear index (OSI) decreases from 0.1557 to 0.00213. Conclusions: Competitive flow may produce adverse hemodynamic effects on artery graft, especially when the stenosis degree is below 50%, competitive flow will significantly lead the long-term patency of the artery graft worse because of the backflow, low WSS and high OSI, and the effect of OSI is more obvious than WSS.
Biomedical Engineering Online | 2016
Wenxin Wang; Boyan Mao; Haoran Wang; Xueying Geng; Xi Zhao; Huixia Zhang; Jinsheng Xie; Zhou Zhao; Bo Lian; Youjun Liu
BackgroundSequential and single grafting are two surgical procedures of coronary artery bypass grafting. However, it remains unclear if the sequential graft can be used between the right and left coronary artery system. The purpose of this paper is to clarify the possibility of right coronary artery system anastomosis to left coronary system.MethodsA patient-specific 3D model was first reconstructed based on coronary computed tomography angiography (CCTA) images. Two different grafts, the normal multi-graft (Model 1) and the novel multi-graft (Model 2), were then implemented on this patient-specific model using virtual surgery techniques. In Model 1, the single graft was anastomosed to right coronary artery (RCA) and the sequential graft was adopted to anastomose left anterior descending (LAD) and left circumflex artery (LCX). While in Model 2, the single graft was anastomosed to LAD and the sequential graft was adopted to anastomose RCA and LCX. A zero-dimensional/three-dimensional (0D/3D) coupling method was used to realize the multi-scale simulation of both the pre-operative and two post-operative models.ResultsFlow rates in the coronary artery and grafts were obtained. The hemodynamic parameters were also showed, including wall shear stress (WSS) and oscillatory shear index (OSI). The area of low WSS and OSI in Model 1 was much less than that in Model 2.ConclusionsModel 1 shows optimistic hemodynamic modifications which may enhance the long-term patency of grafts. The anterior segments of sequential graft have better long-term patency than the posterior segments. With rational spatial position of the heart vessels, the last anastomosis of sequential graft should be connected to the main branch.
International Journal of Computational Methods | 2018
Bao Li; Wenxin Wang; Boyan Mao; Youjun Liu
A method which can personalize the lumped parameter model of coronary artery and cardiovascular system based on the non-invasive physiological parameters has been developed. The parameters of system were determined by different physiological parameters. The heart module was determined by aortic pressure and heart rate; the systemic circulation module was determined by cardiac output, height and cardio-ankle vascular index (CAVI), while the CAVI was determined by age and aortic pressure; the coronary module was determined by the target waveforms of coronary flow rate predicted from cardiac output. The considerable results proved that this method could be applied to each patient.
Biomedical Engineering Online | 2016
Boyan Mao; Wenxin Wang; Zhou Zhao; Xi Zhao; Lanlan Li; Huixia Zhang; Youjun Liu
BackgroundDuring coronary artery bypass grafting (CABG), the ratio of powers of the fundamental frequency and its first harmonic (F0/H1) in fast Fourier transformation (FFT) analysis of the graft’s flow waves has been used in the field of evaluation of the patency in anastomosis. But there is no report about using the FFT method to evaluate the magnitude of competitive flow. This study is aiming at exploring the relationship between competitive flow and FFT analysis of the flow waves in left internal mammary artery (LIMA) graft, and finding a new method to evaluate the magnitude of competitive flow.MethodsAt first, establishing the CABG multiscale models of different stenosis in left anterior descending artery (LAD) to get different magnitude of competitive flows. Then, calculating the models by ANSYS-CFX and getting the flow waves in LIMA. Finally, analyzing the flow waves by FFT method and comparing the FFT results with the magnitude of competitive flow.ResultsThere is no relationship between competitive flow and F0/H1. As for F0/H2 and F0/H3, they both increase with the reduction of the stenosis in LAD. But the increase of F0/H3 is not obviously enough and it can’t identify the significant competitive flow clearly, so it can’t be used as the evaluation index. It is found that F0/H2 increases obviously with the increase of the competitive flow and can identify the significant competitive flow.ConclusionThe FFT method can be used in the evaluation of competitive flow and the F0/H2 is the ideal index. High F0/H2 refers to the significant competitive flow. This method can be used during CABG to avoid the risk of competitive flow.
Medical & Biological Engineering & Computing | 2018
Bao Li; Sihan Chen; Xingming Qi; Wenxin Wang; Boyan Mao; Jianhang Du; Xiaoling Li; Youjun Liu
International Journal of Computational Methods | 2018
Boyan Mao; Wenxin Wang; Bao Li; Xiaoyan Zhang; Youjun Liu
Cmes-computer Modeling in Engineering & Sciences | 2018
Wenxin Wang; Dalin Tang; Boyan Mao; Bao Li; Xi Zhao; Jian Liu; Youjun Liu
Cmes-computer Modeling in Engineering & Sciences | 2018
Zhou Zhao; Boyan Mao; Youjun Liu; Haisheng Yang; Yu Chen
The 8th International Conference on Computational Methods (ICCM2017) | 2017
Boyan Mao; Huixia Zhang; Wenxin Wang; Bao Li; Youjun Liu
The 8th International Conference on Computational Methods (ICCM2017) | 2017
Bao Li; Wenxin Wang; Xi Zhao; Boyan Mao; Youjun Liu; Zhou Zhao