Hemodynamic factors in coronary artery lesions: An in-vitro tomographic particle image velocimetry study

Kewei Xu(Zhejiang University), Qi Gao(Zhejiang University), Xiuhua Hu(Fudan University), Ke Zhang, Hang Zhao(Zhejiang University), Min Wan(Nanchang University)
Journal of Applied Biomedicine
April 1, 2025
10.1016/j.bbe.2025.05.001
Cited by 7

Related Papers

Dense motion estimation of particle images via a convolutional neural network
|Experiments in Fluids|2019|206
Particle Image Velocimetry Based on a Deep Learning Motion Estimator
|IEEE Transactions on Instrumentation and Measurement|2019|183
Perspective on CFD studies of coronary artery disease lesions and hemodynamics: A review
|International Journal for Numerical Methods in Biomedical Engineering|2014|99
Simplified Models of Non-Invasive Fractional Flow Reserve Based on CT Images
|PLoS ONE|2016|67
Hemodynamic analysis of patient‐specific coronary artery tree
|International Journal for Numerical Methods in Biomedical Engineering|2015|45