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利用基于三维共聚焦图像的计算流体动力学评估血流动力学因素对视网膜微循环的影响。

Evaluation of the effect of hemodynamic factors on retinal microcirculation by using 3D confocal image-based computational fluid dynamics.

作者信息

Ong Chi Wei, Tan Bingyao, Hussain Shaista, Chuangsuwanich Thanadet, Braeu Fabian Albert, Cui Fangsen

机构信息

School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore, Singapore.

Department of Ocular Imaging, Singapore Eye Research Institute, Singapore, Singapore.

出版信息

Front Bioeng Biotechnol. 2024 Nov 27;12:1489172. doi: 10.3389/fbioe.2024.1489172. eCollection 2024.

Abstract

PURPOSE

To investigate local hemodynamic changes resulting from elevated intraocular pressure (IOP) in different vasculature networks using a computational fluid dynamics model based on 3D reconstructed confocal microscopic images.

METHODS

Three-dimensional rat retinal vasculature was reconstructed from confocal microscopy images using a 3D U-Net-based labeling technique, followed by manual correction. We conducted a computational fluid dynamics (CFD) analysis on different retinal vasculature networks derived from a single rat. Various venule and arteriole pressures were applied to mimic the effects of elevated intraocular pressure (IOP), a major glaucoma risk factor. An increase in IOP typically correlates with a decrease in venous pressure. We also varied the percentage of capillary dropout, simulating the loss of blood vessels within the capillary network, by reducing the volume of the normal capillary network by 10%, 30%, and 50%. Based on the output of the CFD analysis, we calculated velocity, wall shear stress (WSS), and pressure gradient for different vasculature densities.

RESULTS

Arteriolar pressure, venular pressure, and capillary dropout appear to be important factors influencing wall shear stress in the rat capillary network. Our study revealed that the pressure gradient between arterioles and venules strongly affects the local wall shear stress distribution across the 3D retinal vasculature. Specifically, under a pressure gradient of 3,250 Pa, the wall shear stress was found to vary between 0 and 20 Pa, with the highest shear stress observed in the region of the superficial layer. Additionally, capillary dropout led to a 25% increase or decrease in wall shear stress in affected areas.

CONCLUSION

The hemodynamic differences under various arteriole and venule pressures, along with different capillary dropout conditions, could help explain the development of various optic disorders, such as glaucoma, diabetic retinopathy, and retinal vein occlusion.

摘要

目的

使用基于三维重建共聚焦显微镜图像的计算流体动力学模型,研究不同血管网络中眼内压升高引起的局部血流动力学变化。

方法

使用基于三维U-Net的标记技术从共聚焦显微镜图像重建三维大鼠视网膜血管系统,随后进行手动校正。我们对来自同一只大鼠的不同视网膜血管网络进行了计算流体动力学(CFD)分析。施加各种小静脉和小动脉压力以模拟眼内压升高(青光眼的主要危险因素)的影响。眼内压升高通常与静脉压力降低相关。我们还改变了毛细血管缺失的百分比,通过将正常毛细血管网络的体积减少10%、30%和50%来模拟毛细血管网络内血管的丧失。基于CFD分析的输出,我们计算了不同血管密度下的速度、壁面剪切应力(WSS)和压力梯度。

结果

小动脉压力、小静脉压力和毛细血管缺失似乎是影响大鼠毛细血管网络壁面剪切应力的重要因素。我们的研究表明,小动脉和小静脉之间的压力梯度强烈影响三维视网膜血管系统中的局部壁面剪切应力分布。具体而言,在3250 Pa的压力梯度下,发现壁面剪切应力在0至20 Pa之间变化,在表层区域观察到最高剪切应力。此外,毛细血管缺失导致受影响区域的壁面剪切应力增加或减少25%。

结论

各种小动脉和小静脉压力以及不同毛细血管缺失条件下的血流动力学差异,有助于解释青光眼、糖尿病视网膜病变和视网膜静脉阻塞等各种视神经疾病的发展。

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