青光眼视神经头参数与视网膜神经纤维层的相关性分析

发布时间：2018-03-15 07:24

  本文选题：频域光学相干断层技术　切入点：青光眼　出处：《计算机辅助设计与图形学学报》2017年06期 　论文类型：期刊论文

【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.
[Abstract]:Glaucoma is a retinal disease characterized by optic nerve atrophy and visual field defect. It is the second most common retinal disease leading to human blindness. The early symptoms of glaucoma are not obvious. Therefore, screening and diagnosis of early glaucoma will prevent the further development of glaucoma. In this paper, an algorithm for evaluating the pathogenesis of glaucoma is proposed. Then the block search algorithm is used to segment the visual disc and the cup, and the correlation between the two is analyzed. The experimental results show that the ratio of retinal nerve fiber layer to vertical cup and disc, The correlation between the optic cup area and the area ratio along the disc was 0.64n0.62 and 0.54, which proved that the thickness of retinal nerve fiber layer was closely related to the size of the cup / disc ratio in the diagnosis of glaucoma. It is of great significance to study the development trend of glaucoma.
【作者单位】： 南京理工大学计算机科学与工程学院;闽江学院福建省信息处理与智能控制重点实验室;济南大学信息科学与工程学院;
【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)
【分类号】：R775;TP391.41
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本文编号：1615044