Weiwei Chen
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Weiwei Chen has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
Hao Gao
School of Mathematics and Statistics, University of Glasgow, Glasgow, United Kingdom
1 shared publicationNicholas A. Hill
School of Mathematics and Statistics, University of Glasgow, Glasgow, United Kingdom
1 shared publicationXiaoyu Luo
School of Mathematics and Statistics, University of Glasgow, Glasgow, United Kingdom
1 shared publicationXilan Yang
Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
1 shared publication- Zheng Duanmu
School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, China
1 shared publication
Latest Publications
- Open Access
- 9 July 2019
- Published by Frontiers Media SA in Frontiers in Physiology
- Vol. 10, 853
A One-Dimensional Hemodynamic Model of the Coronary Arterial Tree
One-dimensional (1D) hemodynamic models of arteries have increasingly been applied to coronary circulation. In this study, we have adopted flow and pressure profiles in Olufsen's 1D structured tree as coronary boundary conditions, with terminals coupled to the dynamic pressure feedback resulting from the intra-myocardial stress because of ventricular contraction. We model a trifurcation structure of the example coronary tree as two adjacent bifurcations. The estimated results of blood pressure and flow rate from our simulation agree well with the clinical measurements and published data. Furthermore, the 1D model enables us to use wave intensity analysis to simulate blood flow in the developed coronary model. Six characteristic waves are observed in both left and right coronary flows, though the waves' magnitudes differ from each other. We study the effects of arterial wall stiffness on coronary blood flow in the left circumflex artery (LCX). Different diseased cases indicate that distinct pathological reactions of the cardiovascular system can be better distinguished through Wave Intensity analysis, which shows agreement with clinical observations. Finally, the feedback pressure in terminal vessels and measurement deviation are also investigated by changing parameters in the LCX. We find that larger feedback pressure increases the backward wave and decreases the forward one. Although simplified, this 1D model provides new insight into coronary hemodynamics in healthy and diseased conditions. We believe that this approach offers reference resources for studies on coronary circulation disease diagnosis, treatment and simulation.
- 9 July 2019
- Published by Frontiers Media SA in Frontiers in Physiology
- Vol. 10, 853
Open AccessA One-Dimensional Hemodynamic Model of the Coronary Arterial Tree
One-dimensional (1D) hemodynamic models of arteries have increasingly been applied to coronary circulation. In this study, we have adopted flow and pressure profiles in Olufsen's 1D structured tree as coronary boundary conditions, with terminals coupled to the dynamic pressure feedback resulting from the intra-myocardial stress because of ventricular contraction. We model a trifurcation structure of the example coronary tree as two adjacent bifurcations. The estimated results of blood pressure and flow rate from our simulation agree well with the clinical measurements and published data. Furthermore, the 1D model enables us to use wave intensity analysis to simulate blood flow in the developed coronary model. Six characteristic waves are observed in both left and right coronary flows, though the waves' magnitudes differ from each other. We study the effects of arterial wall stiffness on coronary blood flow in the left circumflex artery (LCX). Different diseased cases indicate that distinct pathological reactions of the cardiovascular system can be better distinguished through Wave Intensity analysis, which shows agreement with clinical observations. Finally, the feedback pressure in terminal vessels and measurement deviation are also investigated by changing parameters in the LCX. We find that larger feedback pressure increases the backward wave and decreases the forward one. Although simplified, this 1D model provides new insight into coronary hemodynamics in healthy and diseased conditions. We believe that this approach offers reference resources for studies on coronary circulation disease diagnosis, treatment and simulation.