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

摘要 拟议项目的目标是开发EyeStar-BIO，这是一套软件工具，旨在增强数字 双目间接检眼镜检查(BIO)，是眼底疾病最常见的检查形式之一。 视网膜。使用BIO，眼科医生可以确定多种视网膜疾病的存在，如糖尿病 视网膜病变、黄斑变性、早产儿视网膜病变等。传统的生物考试 不生成任何可视文档。 EyeStar-Bio将提供增强数字生物考试的工具，例如：1)选择最佳质量的图像，2) 生成视网膜的广泛视野，3)监控随时间的变化，以及4)诊断视网膜疾病 使用人工智能。 该第一阶段项目的目标将通过三个具体目标来实现： ·目标1：实施数字生物视频帧的自动图像质量评估软件。 ·目标2：开发图像拼接方法，以最佳质量生成大视野的视网膜 视频中的帧。 ·目标3：生成图像以跟踪疾病进展或退化造成的时间差异。 EyeStar-BIO软件将授权给数字BIO耳机制造商。未来的发展将 包括EyeStar-Bio实时实施和使用人工视网膜诊断视网膜疾病的能力 智慧。

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.