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用于狭窄血管内血流可视化的3D打印生物模型:一项实验与数值研究

3D Printed Biomodels for Flow Visualization in Stenotic Vessels: An Experimental and Numerical Study.

作者信息

Carvalho Violeta, Rodrigues Nelson, Ribeiro Ricardo, Costa Pedro F, Lima Rui A, F C F Teixeira Senhorinha

机构信息

ALGORITMI Center (CAlg), University of Minho, 4800-058 Guimarães, Portugal.

Mechanical Engineering and Resource Sustainability Center (MEtRiCS), University of Minho, 4800-058 Guimarães, Portugal.

出版信息

Micromachines (Basel). 2020 May 29;11(6):549. doi: 10.3390/mi11060549.

Abstract

Atherosclerosis is one of the most serious and common forms of cardiovascular disease and a major cause of death and disability worldwide. It is a multifactorial and complex disease that promoted several hemodynamic studies. Although in vivo studies more accurately represent the physiological conditions, in vitro experiments more reliably control several physiological variables and most adequately validate numerical flow studies. Here, a hemodynamic study in idealized stenotic and healthy coronary arteries is presented by applying both numerical and in vitro approaches through computational fluid dynamics simulations and a high-speed video microscopy technique, respectively. By means of stereolithography 3D printing technology, biomodels with three different resolutions were used to perform experimental flow studies. The results showed that the biomodel printed with a resolution of 50 μm was able to most accurately visualize flow due to its lowest roughness values (Ra = 1.8 μm). The flow experimental results showed a qualitatively good agreement with the blood flow numerical data, providing a clear observation of recirculation regions when the diameter reduction reached 60%.

摘要

动脉粥样硬化是心血管疾病最严重且最常见的形式之一,也是全球范围内死亡和残疾的主要原因。它是一种多因素的复杂疾病,推动了多项血流动力学研究。尽管体内研究能更准确地反映生理状况,但体外实验能更可靠地控制多个生理变量,并最充分地验证数值血流研究。在此,通过分别运用计算流体动力学模拟的数值方法和高速视频显微镜技术的体外方法,对理想化的狭窄和健康冠状动脉进行了血流动力学研究。借助立体光刻3D打印技术,使用具有三种不同分辨率的生物模型进行实验性血流研究。结果表明,分辨率为50μm打印的生物模型因其最低的粗糙度值(Ra = 1.8μm)能够最准确地可视化血流。血流实验结果与血流数值数据在定性上具有良好的一致性,当直径减小达到60%时,能清晰观察到再循环区域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9410/7344925/1f9220f33c48/micromachines-11-00549-g001.jpg

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