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ISSN      1003-9775
CN        11-2925/TP
邮发代号:82-456
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青光眼视神经头参数与视网膜神经纤维层的相关性分析

徐 军1), 陈 强1,2)*, 牛四杰1,3)
1)(南京理工大学计算机科学与工程学院 南京 210094)2)(闽江学院福建省信息处理与智能控制重点实验室 福州 350121)3)(济南大学信息科学与工程学院 济南 250022)
分类号: TP391.41
出版年,卷(期):页码: 2017 , 29 ( 6 ): 977-983 徐军
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.
关键词: 频域光学相干断层技术; 青光眼; 视网膜神经纤维层; 杯盘比; 随机森林; 支持向量机; 相关性分析
Correlation between Optic Nerve Head Parameters and Retinal Nerve Fiber Layer in Glaucoma
Xu Jun1), Chen Qiang1,2)*, and Niu Sijie1,3)
1)(School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094)2) (Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou 350121)3)(School of Information Science and Engineering, University of Ji’nan, Ji’nan 250022)
abstract: 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 and diagnosis of early glaucoma will prevent further development of glaucoma. In this paper, we propose a method to evaluate the pathogenesis of glaucoma that can be divided into three parts: the first is using random forest to segment the retinal nerve fiber layer; the second is using patch searching to segment disk and cup; and the third is calculating the relationship of retinal nerve fiber layer (RNFL) thickness and cup-to-disk ratio (CDR). Experimental results demonstrate that the correlations of the thickness of RNFL with vertical CDR, cup area and rim disk ratio are 0.64, 0.62, 0.54, respectively, which conforms that RNFL thickness and CDR are highly relative and complementary for the glaucoma diagnose. It plays an important role in the study on the development of glaucoma.
keyword: optic coherence tomography; glaucoma; retinal nerve fiber layer; cup-to-disk ratio; random forest; support vector machine; correlation analysis
 
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