DIGITAL RESOLUTION IMPROVEMENT OF SLO ANGIOGRAMS

这项研究的主要商业目标是提供一个 为视网膜专家提供有利可图的产品， 眼底浅层和深层结构的2D可视化，使用 荧光染料。 这样的荧光染料主要包括吲哚菁 绿色（ICG），其提供深层结构的观察，例如脉络膜 血管和荧光素（FITC），其提供视网膜的观察 血管和其他视网膜结构。 第一阶段的重点是 将对导航卫星委员会的图像进行研究。 即将开发的技术将 以软件算法的形式，最终以最终产品的形式， 安装在奔腾计算机平台上，以满足市场需求。 设计 该算法的基本原理将建立在基于模型的 最大似然估计法 我们的经验是， 基于模型的方法消除了大量的猜测工作， 在制定一个工作方案时， 算法设计 另一方面，我们的经验是那么纯粹 基于模型的方法通常很难设计出有利可图的 产品，因为速度和成本问题，所以算法将 在其底层中还包含非基于模型的组件 为了最终提供一种有效的，快速的， 廉价、坚固、吸引人的产品。 本阶段的具体目标 本研究的主要工作是：（1）收集大量的图像数据集 如后面的数据收集部分所述。 (2)数学推导， 开发并实现原型算法。(3)执行这个算法 收集的数据集。(4)评估结果的反卷积 图像的分辨率和清晰度，如下文所述 介绍和评价。 建议的商业应用 该产品将作为扫描激光检眼镜（SLO）的附加产品 几个制造商。 至少有700个SLO站点已经存在， 这一数字正在迅速增长。 全球至少有5，000个 潜在的网站，假设50%的视网膜专家将 购买此软件。

The primary commercial objective of this research is to offer a profitable product for retinal specialists that will provide improved 2D visualization of shallow and deep structures in the fundus, using fluorescent dyes. Such fluorescent dyes primarily include indocyanine green (ICG), which provides viewing of deep structures such as choroidal vasculature, and fluorescein (FITC) which provides viewing of retinal vascular and other retinal structures. The focus of this Phase I research will be on ICG imagery. The technology to be developed will be in the form of a software algorithm, with an end product ultimately installed on a Pentium computer platform for marketability. The design of the algorithm will be founded fundamentally on the model-based approach of maximum likelihood estimation. Our experience has been that model-based approaches remove the bulk of the guess work and over- whelming, manpower consuming trial-and-error in formulating a working algorithm design. On the other hand, our experience has been that pure model-based approaches in general are difficult to design profitable products around, because of speed and cost issues, so the algorithm will additionally have non-model-based components in its underlying formulation as well, in order to ultimately provide a working, fast, inexpensive, robust, appealing product. The specific aims of this Phase I research are to: (1) Collect a number of image data sets from subjects as specified later under Data Collection. (2) Mathematically derive, develop and implement a prototype algorithm. (3) Execute this algorithm on the collected data sets. (4) Evaluate the resulting deconvolved images for resolution improvement and clarity as later specified under Presentation and Evaluation . PROPOSED COMMERCIAL APPLICATION The product will be an add-on to Scanning Laser Ophthalmoscopes (SLO s) from several manufacturers. At least 700 SLO sites exist already, and this number is growing rapidly. Worldwide there are at least 5,000 potential sites, assuming 50 percent of retinal specialists will purchase this software.