EyeStar-BIO: Software for Enhancing Digital Binocular Indirect Ophthalmoscopy Examinations

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Summary The goal of the proposed project is to develop EyeStar-BIO, a suite of software tools designed to enhance digital binocular indirect ophthalmoscopy examinations (BIO), one of the most common forms of examination of the retina. Using BIO, an ophthalmologist can determine the presence of multiple retinal diseases such as diabetic retinopathy, macular degeneration, and retinopathy of prematurity, among others. The traditional BIO exam does not produce any visual documentation. EyeStar-BIO will provide tools to enhance digital BIO exams such as: 1) selecting best quality images, 2) generating a wide field view of the retina, 3) monitoring changes over time, and 4) diagnosing retinal diseases using artificial intelligence. The goals of this Phase I project will be accomplished via three specific aims: • Aim 1: implement software for automatic image quality assessment of digital BIO video frames. • Aim 2: develop image stitching methods to generate a wide field view of the retina using the best quality frames in the video. • Aim 3: generate images to track differences in time due to disease progression or regression. The EyeStar-BIO software will be licensed to manufacturers of digital BIO headsets. Future developments will include real time implementations of EyeStar-BIO and the ability to diagnose retinal disease using artificial intelligence.