Nonperfused Retinal Capillaries—A New Method Developed on OCT and OCTA
A deep learning-based algorithm can segment and quantify retinal capillaries that lack flow using colocalized OCT/OCTA. This new biomarker may be useful in AMD and DR in predicting progression of these diseases.
Authors
- Min Gao (ORCID: https://orcid.org/0000-0002-0344-0162)
- Thomas S. Hwang (ORCID: https://orcid.org/0000-0002-0535-4823)
- Dong-Wouk Park (ORCID: https://orcid.org/0000-0001-9524-6406)
- Yukun Guo (ORCID: https://orcid.org/0000-0002-6784-2355)
- Elizabeth White
- Steven T. Bailey (ORCID: https://orcid.org/0000-0003-4949-1464)
- Tristan T. Hormel (ORCID: https://orcid.org/0000-0002-7242-1934)
- Jie Wang (ORCID: https://orcid.org/0000-0003-4706-0302)
- Yali Jia
Institutions
- Oregon Health & Science University (US)
Publication Details
- Journal
- Investigative Ophthalmology & Visual Science
- Published
- 2025-04-09
- DOI
- https://doi.org/10.1167/iovs.66.4.22
- Citations
- 1
- Primary Topic
- Retinal Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.71
Funders
- Research to Prevent Blindness
- Edward N. and Della L. Thome Memorial Foundation
- National Institutes of Health
- Genentech