工程科学学报，第41卷，第9期：1222-1227,2019年9月 Chinese Journal of Engineering,Vol.41,No.9:1222-1227,September 2019 DOI:10.13374/j.issn2095-9389.2019.09.015;http://journals.ustb.edu.cn 基于参考模型的视网膜特征量化 童何俊，付冬梅⑧ 北京科技大学自动化学院，北京100083 ☒通信作者，E-mail:fdm_ustb@usth.cdu.cn 摘要提出一种基于参考模型的视网膜特征量化方法，结合医生诊断过程中关注的视网膜形态变化特征，提出一系列适用 于计算机判断分析视网膜状态的可量化特征.在完成正常光学相干断层成像(OCT)中视网膜内界膜(LM)、光感受器内外节 交界处(ISOS)、布鲁赫膜(BM)分割提取的基础上，利用统计方法构建正常视网膜参考模型.结合参考模型和医生所关注的 视网膜厚度、边界平滑度以及边界连续性，实现视网膜不同区域厚度特征、厚度比值特征、梯度特征、曲率、标准差、相关系数 特征的计算.基于正常OCT图像所构建的参考模型，获取了正常视网膜的厚度及形态特征量化数值.通过分析比较异常OCT 图像与参考模型特征数值之间的差异，可以对应表征出异常图像中病变导致的异常形态所在位置及严重程度.实验结果表 明，通过参考模型获得的正常视网膜特征信息可以为医生提供数值参考，同时对异常0CT图像量化得到的特征数值可以表现 出图像中的异常形态，为后续的异常判断提供基础. 关键词光学相干断层成像：图像处理；视网膜参考模型：特征量化：异常分析 分类号TP391.4 Retinal feature quantization method based on a reference model TONG He-jun,FU Dong-mei School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing 100083,China Corresponding author,E-mail:fdm_ustb@ustb.edu.cn ABSTRACT Optical coherence tomography (OCT)plays an important role in the diagnosis of ocular fundus diseases.Retinal OCT images contain a large amount of useful information for the diagnosis of ocular fundus diseases and are often used to detect small lesions of the fundus.At present,many medical researchers have used OCT to determine the statistical characteristics of the retina to analyze various fundus diseases.When interpreting the OCT images,ophthalmologists will focus on the location of the lesions in the images and the characteristic morphology conducive to abnormal judgment and compare the histological structure of specific objects in the images with the known normal morphology.In the comparison process,the ophthalmologist will conduct a variety of quantitative analyses of OCT retinal images and determine the severity of the abnormalities and the location of the lesions.Finally,on the basis of the differ- ences between the morphologies and types of diseases,the diagnostic decision is obtained.However,at present.OCT instruments gen- erally only provide the thickness,area,and other commonly used characteristic data,and these data are often inadequate to determine the disease.Computer graphics processing technology has been applied to the auxiliary analysis of OCT images.However,this kind of research often confines the object of study to several specific fundus diseases and makes targeted selection of quantitative features.In the actual diagnosis process,it is difficult to confine the retinal images to some known abnormal cases because of the complexity of the situation.In this study,a retinal feature quantization method based on a reference model was proposed,and a series of quantifiable fea- tures suitable for computer judgment and analysis of retinal state were proposed.On the basis of the segmentation and extraction of the internal limiting membrane ILM),junctions of the inner and outer segments of photoreceptors ISOS)and Bruch's membrane BM) in normal OCT images,a reference model of normal retina was constructed by the statistical method.Combining the reference model 收稿日期：2018-08-14 基金项目：国家自然科学基金资助项目(61272358)工程科学学报,第 41 卷,第 9 期:1222鄄鄄1227,2019 年 9 月 Chinese Journal of Engineering, Vol. 41, No. 9: 1222鄄鄄1227, September 2019 DOI: 10. 13374 / j. issn2095鄄鄄9389. 2019. 09. 015; http: / / journals. ustb. edu. cn 基于参考模型的视网膜特征量化 童何俊, 付冬梅苣 北京科技大学自动化学院, 北京 100083 苣通信作者, E鄄mail: fdm_ustb@ ustb. edu. cn 摘 要 提出一种基于参考模型的视网膜特征量化方法,结合医生诊断过程中关注的视网膜形态变化特征,提出一系列适用 于计算机判断分析视网膜状态的可量化特征. 在完成正常光学相干断层成像(OCT)中视网膜内界膜( ILM)、光感受器内外节 交界处(ISOS)、布鲁赫膜(BM)分割提取的基础上,利用统计方法构建正常视网膜参考模型. 结合参考模型和医生所关注的 视网膜厚度、边界平滑度以及边界连续性,实现视网膜不同区域厚度特征、厚度比值特征、梯度特征、曲率、标准差、相关系数 特征的计算. 基于正常 OCT 图像所构建的参考模型,获取了正常视网膜的厚度及形态特征量化数值. 通过分析比较异常 OCT 图像与参考模型特征数值之间的差异,可以对应表征出异常图像中病变导致的异常形态所在位置及严重程度. 实验结果表 明,通过参考模型获得的正常视网膜特征信息可以为医生提供数值参考,同时对异常 OCT 图像量化得到的特征数值可以表现 出图像中的异常形态,为后续的异常判断提供基础. 关键词 光学相干断层成像; 图像处理; 视网膜参考模型; 特征量化; 异常分析 分类号 TP391郾 4 收稿日期: 2018鄄鄄08鄄鄄14 基金项目: 国家自然科学基金资助项目(61272358) Retinal feature quantization method based on a reference model TONG He鄄jun, FU Dong鄄mei 苣 School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China 苣Corresponding author, E鄄mail: fdm_ustb@ ustb. edu. cn ABSTRACT Optical coherence tomography (OCT) plays an important role in the diagnosis of ocular fundus diseases. Retinal OCT images contain a large amount of useful information for the diagnosis of ocular fundus diseases and are often used to detect small lesions of the fundus. At present, many medical researchers have used OCT to determine the statistical characteristics of the retina to analyze various fundus diseases. When interpreting the OCT images, ophthalmologists will focus on the location of the lesions in the images and the characteristic morphology conducive to abnormal judgment and compare the histological structure of specific objects in the images with the known normal morphology. In the comparison process, the ophthalmologist will conduct a variety of quantitative analyses of OCT retinal images and determine the severity of the abnormalities and the location of the lesions. Finally, on the basis of the differ鄄 ences between the morphologies and types of diseases, the diagnostic decision is obtained. However, at present, OCT instruments gen鄄 erally only provide the thickness, area, and other commonly used characteristic data, and these data are often inadequate to determine the disease. Computer graphics processing technology has been applied to the auxiliary analysis of OCT images. However, this kind of research often confines the object of study to several specific fundus diseases and makes targeted selection of quantitative features. In the actual diagnosis process, it is difficult to confine the retinal images to some known abnormal cases because of the complexity of the situation. In this study, a retinal feature quantization method based on a reference model was proposed, and a series of quantifiable fea鄄 tures suitable for computer judgment and analysis of retinal state were proposed. On the basis of the segmentation and extraction of the internal limiting membrane (ILM), junctions of the inner and outer segments of photoreceptors (ISOS) and Bruch爷s membrane (BM) in normal OCT images, a reference model of normal retina was constructed by the statistical method. Combining the reference model