DIGITAL RESOLUTION IMPROVEMENT OF SLO ANGIOGRAMS

这项研究的主要商业目标是提供 针对视网膜专家的有利可图的产品，将提供改进的 眼底浅层和深层结构的2D可视化，使用 荧光染料。这类荧光染料主要包括吲哚菁染料 绿色(ICG)，可查看脉络膜等深层结构 血管系统，以及提供视网膜观察的荧光素(FITC) 血管和其他视网膜结构。这一阶段的重点是 研究将在ICG图像上进行。待开发的技术将 以软件算法的形式，最终形成最终产品 安装在奔腾计算机平台上以适应市场需求。设计 该算法将从根本上建立在基于模型的基础上 最大似然估计法。我们的经验是 基于模型的方法消除了大部分猜测工作和过度- 在制定工作方案时，令人印象深刻的人力消耗反复试验 算法设计。另一方面，我们的体验是那么纯粹 一般来说，基于模型的方法很难设计出有利可图的 产品围绕，由于速度和成本的问题，所以算法会 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、有吸引力的产品。这一阶段的具体目标 我的研究是：(1)收集了大量的受试者的图像数据集 如稍后在数据收集中指定的。(2)数学推导， 开发并实现了一个原型算法。(3)执行该算法 在收集的数据集上。(4)评估得到的去卷积 用于提高分辨率和清晰度的图像，稍后在 演示文稿和评估。 建议的商业应用 该产品将是扫描激光眼底镜(SLO S)的附加产品 来自几家制造商。至少有700个SLO站点已经存在，并且 这一数字正在迅速增长。全世界至少有5,000个 潜在的地点，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.