Hsu Destiny, Kwon Ji Hoon, Ng Ringo, Makita Shuichi, Yasuno Yoshiaki, Sarunic Marinko V, Ju Myeong Jin
Simon Fraser University, Biomedical Optics Research Group, Department of Engineering Science, Burnaby, British Columbia, Canada.
co-first author.
Biomed Opt Express. 2020 Nov 6;11(12):6945-6961. doi: 10.1364/BOE.403209. eCollection 2020 Dec 1.
Retinal microvasculature and the retinal pigment epithelium (RPE) play vital roles in maintaining the health and metabolic activity of the eye. Visualization of these retina structures is essential for pre-clinical studies of vision-robbing diseases, such as age-related macular degeneration (AMD). We have developed a quantitative multi-contrast polarization diversity OCT and angiography (QMC-PD-OCTA) system for imaging and visualizing pigment in the RPE using degree of polarization uniformity (DOPU), along with flow in the retinal capillaries using OCT angiography (OCTA). An adaptive DOPU averaging kernel was developed to increase quantifiable values from visual data, and QMC images permit simultaneous visualization of vessel location, depth, melanin region thickness, and mean DOPU values, allowing rapid identification and differentiation of disease symptoms. The retina of five different mice strains were measured , with results demonstrating potential for pre-clinical studies of retinal disorders.
视网膜微血管和视网膜色素上皮(RPE)在维持眼睛的健康和代谢活动中起着至关重要的作用。对于诸如年龄相关性黄斑变性(AMD)等导致视力丧失疾病的临床前研究而言,这些视网膜结构的可视化至关重要。我们开发了一种定量多对比度偏振多样性光学相干断层扫描和血管造影(QMC-PD-OCTA)系统,用于利用偏振均匀度(DOPU)对RPE中的色素进行成像和可视化,同时利用光学相干断层扫描血管造影(OCTA)对视网膜毛细血管中的血流进行成像和可视化。开发了一种自适应DOPU平均内核,以增加视觉数据的可量化值,并且QMC图像允许同时可视化血管位置、深度、黑色素区域厚度和平均DOPU值,从而能够快速识别和区分疾病症状。对五种不同小鼠品系的视网膜进行了测量,结果证明了其在视网膜疾病临床前研究中的潜力。