Comparative feature analysis in OCT and OCT angiography of diabetic retinopathy

David Le; Taeyoon Son; Jennifer I. Lim; Xincheng Yao

doi:10.1117/12.2609839

4 March 2022 Comparative feature analysis in OCT and OCT angiography of diabetic retinopathy

David Le, Taeyoon Son, Jennifer I. Lim, Xincheng Yao

Proceedings Volume 11941, Ophthalmic Technologies XXXII; 119410J (2022) https://doi.org/10.1117/12.2609839
Event: SPIE BiOS, 2022, San Francisco, California, United States

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Abstract

Early detection of diabetic retinopathy (DR) is an essential step to prevent vision losses. This study is to conduct comparative optical coherence tomography (OCT) and OCT-Angiography (OCTA) analysis, and to identify quantitative features for robust detection of early DR. Five quantitative OCT features were derived to analyze the outer retinal band intensity in the central fovea, parafovea and perifovea regions. Similarly, eight quantitative OCTA features were established to analyze the superficial and deep vascular plexuses. OCT and OCTA images of 21 eyes from healthy control subjects, 20 eyes from diabetic patients without retinopathy (NoDR), and 21 eyes from mild DR patients were used for this study. Comparative analysis revealed that quantitative OCT features related to the Inner Segment ellipsoid (ISe) has the best sensitivity for objective differentiation of all cohorts.

Citation Download Citation

David Le, Taeyoon Son, Jennifer I. Lim, and Xincheng Yao "Comparative feature analysis in OCT and OCT angiography of diabetic retinopathy", Proc. SPIE 11941, Ophthalmic Technologies XXXII, 119410J (4 March 2022); https://doi.org/10.1117/12.2609839

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