SOFTWARE FOR DIGITAL OPTIC DISC CHANGE DETECT

描述：这项研究将改进操作系统的软件 激光诊断技术(LDT)共焦扫描激光断层扫描仪 地形扫描系统(TopSS)在其中，他们提议使用一个大型的 路易斯安那州立大学实验性青光眼研究(LEGES)的TopSS图片库 确定以下数字化步骤的最佳策略 检测视神经头(ONH)表面变化(视盘变化)： 1)图像采集(每张采集多少张、采集什么类型的图像 眼睛成像的时间)；2)二次图像处理(生成256 X 256个单个图像输出文件的高程值)；3)生成 单个图像汇总参数(如何汇总来自图像的数据 以一种临床医生可以理解并允许统计的方式 要进行的分析)；以及4)二次数据分析(统计 评估每个参数的可变性的策略，以便 确定统计上显著变化的开始和进展 在来自同一只眼睛的一系列图像内)。在第一阶段， 调查人员将评估他们现有的战略并开发新的战略 对于每一步。在第二阶段，他们将确定那些 最大限度地检测青光眼ONH表面变化 腿的眼睛和测试这些策略在一个新的正常和 青光眼患者的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.