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Systems and methods of glaucoma diagnosis based on frequency analysis of inner retinal surface profile measured by optical coherence tomography

机译:基于光学相干断层扫描测量的视网膜内表面轮廓频率分析的青光眼诊断系统和方法

摘要

A method for detecting glaucoma in a subject based on spatial frequency analysis of the inner limiting membrane (ILM) as obtained from optical coherence tomography (OCT) image data is disclosed. Based on the spatial frequency content of the analyzed ILM profile, a quantity called the Retinal surface contour variability (RSCV) is calculated and the presence or absence of a glaucoma condition is determined based on the RSCV magnitude.
机译:公开了一种基于从光学相干断层扫描(OCT)图像数据获得的内部限制膜(ILM)的空间频率分析来检测对象中的青光眼的方法。根据所分析的ILM轮廓的空间频率含量,计算称为视网膜表面轮廓变异性(RSCV)的量,并根据RSCV大小确定是否存在青光眼疾病。

著录项

  • 公开/公告号US9918630B2

    专利类型

  • 公开/公告日2018-03-20

    原文格式PDF

  • 申请/专利权人 OU TAN;DAVID HUANG;

    申请/专利号US201615253597

  • 发明设计人 OU TAN;DAVID HUANG;

    申请日2016-08-31

  • 分类号A61B3/12;A61B3;A61B3/10;

  • 国家 US

  • 入库时间 2022-08-21 12:58:27

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