SOFTWARE FOR DIGITAL OPTIC DISC CHANGE DETECT

描述：本研究将改进 激光诊断技术（LDT）共焦扫描激光断层扫描仪 TopSS（地形扫描系统）。 在其中，他们建议使用一个大的 来自LSU实验性青光眼研究（LEGS）的TopSS图像库 为数字化中的以下步骤确定最佳策略 检测视神经乳头（ONH）表面变化（视盘变化）： 1)图像采集（每次采集多少图像和哪种图像 2）二次图像处理（生成256个图像）; x 256个高程值）; 3）生成 单个图像汇总参数（如何汇总图像中的数据 以临床医生可以理解的方式， 分析）;和4）次要数据分析（统计学 评估每个参数的可变性的策略， 确定统计学显著变化的发生和进展 在来自同一只眼睛的一系列图像内）。 在第一阶段， 研究人员将评估他们现有的策略，并开发新的策略。 每一步。 在第二阶段，他们将确定那些战略， 最大限度地提高他们的检测昏迷ONH表面变化内 LEGS眼睛和测试这些策略在一个新的图书馆正常和 昏迷的人类ONH图像。

DESCRIPTION: This study will improve the operating system software of the Laser Diagnostic Technologies (LDT) confocal scanning laser tomograph TopSS (Topographic Scanning System). In it, they propose to use a large library of TopSS images from the LSU Experimental Glaucoma Study (LEGS) to determine the best strategies for the following steps in the digital detection of optic nerve head (ONH) surface change (optic disc change): 1) image acquisition (how many and what kind of images to acquire each time an eye is imaged); 2) secondary image processing (generating the 256 x 256 elevation values of a single image output file); 3) generating individual image summary parameters (how to summarize the data from images in a way that is understandable to the clinician and allows statistical analysis to be performed ); and 4) secondary data analysis (statistical strategies that assess the variability of each parameter so as to determine the onset and progression of statistically significant change within a series of images from the same eye). In Phase I, the investigators will evaluate their existing strategies and develop new ones for each step. In Phase II, they will determine those strategies that maximize their detection of glaucomatous ONH surface change within the LEGS eyes and test these strategies in a new library of normal and glaucomatous human ONH images.