Quantitative analysis of choriocapillaris in non-human primates using swept-source optical coherence tomography angiography (SS-OCTA) (Conference Presentation)

Bingyao Tan, Jacqueline Chua, A. B. Veluchamy, B. Mani, A. Chan, L. Schmetterer
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Abstract

Choriocapillaris is a unique vascular plexus located posterior to the retinal pigment epithelium. In the recent years, there is an increasing interest to investigate choriocapillaris alteration and progression of eye diseases and aging, using the optical coherence tomography angiography (OCTA). However, standardized algorithm for analysis has not been developed. Herein, we present non-invasive, in-vivo, high-resolution images of the non-human primates’ choriocapillaris using OCTA. Images were acquired with a prototype swept-source OCTA (SS-OCTA) system with 100kHz A-scan/s rate, over regions of 3×3 mm2 and 12×12 mm2. The non-perfusion area, also called flow voids, were segmented with an intensity damped, illuminance-compensated algorithm. The optimized quantification of the choriocapillaris flow voids may have applications in a wide array of eye diseases including age-related macular degeneration (AMD) and visualization of choriocapillaris in animal models could aid future studies on choroid involvement in models of eye disease.
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用扫描源光学相干断层扫描血管造影(SS-OCTA)定量分析非人灵长类动物的绒毛膜毛细血管(会议报告)
绒毛膜毛细血管是位于视网膜色素上皮后的独特血管丛。近年来,人们对利用光学相干断层扫描血管造影(OCTA)研究眼病和衰老过程中绒毛膜的改变和进展越来越感兴趣。然而,标准化的分析算法尚未形成。在此,我们使用OCTA展示了非人类灵长类动物的绒毛毛细血管的非侵入性,活体,高分辨率图像。图像是通过一个原型扫描源OCTA (SS-OCTA)系统获得的,扫描速率为100kHz a -scan/s,扫描区域为3×3 mm2和12×12 mm2。用强度阻尼、照度补偿算法对非灌注区(也称为流腔)进行分割。绒毛膜毛细血管流动空洞的优化定量可能在包括老年性黄斑变性(AMD)在内的一系列眼病中有广泛的应用,绒毛膜毛细血管动物模型的可视化可以帮助未来研究眼病模型中绒毛膜的参与。
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Front Matter: Volume 10858 Quantitative analysis of choriocapillaris in non-human primates using swept-source optical coherence tomography angiography (SS-OCTA) (Conference Presentation) Ocular fundus imaging with transmitted light (Conference Presentation) Clinical Jones-matrix OCT for diagnosis of macular disease (Conference Presentation) 4D imaging of vascular leakage by contrast-enhanced OCT (Conference Presentation)
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