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用于光学视网膜血管成像设备评估的视网膜多血管网络模型的快速成型

Rapid prototyping of a retinal multivascular network phantom for optical retinal vascular imaging equipment evaluation.

作者信息

Zhao Xiaowei, Liu Wenli, Hu Zhixiong, Duan Liangcheng, Zhang Xiao, Li Fei, Hong Baoyu

机构信息

Center for Medical Metrology, National Institute of Metrology, 18 North 3rd Ring East Rd., Chaoyang, Beijing 100029, China.

School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.

出版信息

Biomed Opt Express. 2024 Jun 12;15(7):4253-4263. doi: 10.1364/BOE.523115. eCollection 2024 Jul 1.

Abstract

Retinal vascular health holds paramount importance for healthy vision. Many technologies have been developed to examine retinal vasculature non-destructively, including fundus cameras, optical coherence tomography angiography (OCTA), fluorescein angiography (FA), and so on. However, there is a lack of a proper phantom simulating the critical features of the real human retina to calibrate and evaluate the performance of these technologies. In this work, we present a rapid, high-resolution, and economical technology based on 3D printed mold-based soft lithography and spin coating for the fabrication of a multivascular network and multilayer structural retinal phantom with the appropriate optical properties. The feasibility of the retinal phantom as a test device was demonstrated with an OCTA system and a confocal retinal ophthalmoscope. Experiment results prove that the retinal phantom could provide an objective evaluation of the OCTA and confocal retinal ophthalmoscope. Furthermore, the microfluidic phantoms enabled by this fabrication technology may support the development and evaluation of other techniques.

摘要

视网膜血管健康对于良好的视力至关重要。人们已经开发了许多技术来无损检测视网膜血管系统,包括眼底相机、光学相干断层扫描血管造影(OCTA)、荧光素血管造影(FA)等。然而,缺乏一种能够模拟真实人类视网膜关键特征的合适模型来校准和评估这些技术的性能。在这项工作中,我们提出了一种基于3D打印模具的软光刻和旋涂技术的快速、高分辨率且经济的技术,用于制造具有适当光学特性的多血管网络和多层结构视网膜模型。通过OCTA系统和共焦视网膜检眼镜证明了视网膜模型作为测试设备的可行性。实验结果证明,视网膜模型可以对OCTA和共焦视网膜检眼镜进行客观评估。此外,这种制造技术实现的微流体模型可能会支持其他技术的开发和评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6132/11249693/6b1b139073fb/boe-15-7-4253-g001.jpg

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