辅助青光眼研究的具有DDLS自动分类功能的眼底图像标注工具

摘要

Taking advantage of the new standard HTML5, we designed an online tool called a browser/server-based glaucoma image database builder (BGIDB) for the demarcation of the optic disk and cup's ellipse-like boundaries. The B-spline interpolation algorithm is used, and a specially designed algorithm is proposed for classifying the disease grade according to the disc damage likelihood scale criterion, which is correlated strongly with the glaucoma process by quantity. This tool exhibits the best performance with a low overlapping error of 4.34％ for the optic disk demarcation and 8.31％ for the optic cup demarcation. It also has preferable time-consuming as compared to other tools and is a cross-platform system. This tool has already been utilized in building the ophthalmic image database in the cooperation of Center for Ophthalmic Imaging Research and The Second Xiangya Hospital.%利用新的HTML5标准的特性,设计了一个基于浏览器/服务器架构的青光眼图像数据库建库系统(BGIDB)的在线标注工具,用来标注眼底图的视杯、视盘边缘;使用B样条来拟合标注曲线,并基于视神经损伤度量(DDLS)设计了一个自动划分青光眼疾病等级的算法,其中DDLS是评价青光眼进程的指标.实验结果表明,该工具具有较好的标注表现,对视盘和视杯分别具有4.34％和8.31％的标注重叠误差;相比现有的其他标注工具,本工具在人机交互中的耗时也具有优势.目前,BGIDB已经用于中南大学眼科图像研究中心与湘雅二医院合作中的青光眼数据库建设.