摘要
青光眼是一种以视神经萎缩和视野缺损为共同特征的视网膜疾病,是导致人类失明的第二大视网膜疾病.青光眼的早期症状不明显,因此对早期青光眼的筛选和诊断将会阻止青光眼的进一步发展.文中提出一种评估青光眼发病机制的算法,首先利用随机森林分割视网膜神经纤维层,然后利用块搜索算法分割视盘与视杯,最后分析两者相关性.实验结果表明,视网膜神经纤维层与垂直杯盘比,视杯面积以及沿盘面积比的相关性大小为0.64,0.62和0.54,验证了在诊断青光眼方面计算视网膜神经纤维层厚度与杯盘比大小是密切相关和互补的,对研究青光眼的发展趋势具有重要意义.
Glaucoma is a kind of retinal diseases with the feature of optic nerve atrophy and visual field defect,which is the second foremost reason of blindness.Early glaucoma is not obvious,so the screening anddiagnosis of early glaucoma will prevent further development of glaucoma.In this paper,we propose amethod to evaluate the pathogenesis of glaucoma that can be divided into three parts:the first is using randomforest to segment the retinal nerve fiber layer;the second is using patch searching to segment disk andcup;and the third is calculating the relationship of retinal nerve fiber layer(RNFL)thickness andcup-to-disk ratio(CDR).Experimental results demonstrate that the correlations of the thickness of RNFLwith vertical CDR,cup area and rim disk ratio are0.64,0.62,0.54,respectively,which conforms that RNFLthickness and CDR are highly relative and complementary for the glaucoma diagnose.It plays an importantrole in the study on the development of glaucoma.
作者
徐军
陈强
牛四杰
Xu Jun;Chen Qiang;Niu Sijie(School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094;Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou 350121;School of Information Science and Engineering, University of Ji’nan, Ji’nan 250022)
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2017年第6期977-983,共7页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金面上项目(61671242)
中央高校基本科研业务费专项资金(30920140111004)
六大人才高峰项目(2014-SWYY-024)
福建省信息处理与智能控制重点实验室(闽江学院)开放课题基金(MJUKF201706)
