眼结膜微循环生物医学图像计算机分析的特点

N. Babyuk, S. Pavlov, P. Kolisnyk, Yang Longyin
{"title":"眼结膜微循环生物医学图像计算机分析的特点","authors":"N. Babyuk, S. Pavlov, P. Kolisnyk, Yang Longyin","doi":"10.31649/1681-7893-2021-42-2-53-65","DOIUrl":null,"url":null,"abstract":"An analysis was carried out, which showed that the task of creating a system for evaluating biomedical images of pathologies of the vessels of the human eye is relevant and needs to be solved, since the existing methods and systems of evaluation, as well as the existing methods of processing biomedical images do not meet the modern requirements for such systems in terms of accuracy , the reliability of processing biomedical images, which leads to the occurrence of errors in the diagnosis in ophthalmological studies. The results of the comparison of the effectiveness of the Kirsch, Sobel, Roberts, Wallace, SUSAN algorithms for processing biomedical images based on the set of information diagnostic features formed are the most informative for image segmentation, the algorithms based on Kirsch filtering and the nonlinear Sobel filter. A system has been developed for evaluating dynamic changes in biomedical images, which allows to evaluate the state of blood vessels and determine the conjunctival index based on the following indicators: the ratio of the diameters of arterioles and corresponding venules; caliber irregularities; meander windings; microaneurysms; glomeruli; reticular structures of vessels; changes in the number of functioning capillaries; arteriolo-venular anastomoses; hemorrhages; perivascular edema; sludge phenomena; microthrombi","PeriodicalId":142101,"journal":{"name":"Optoelectronic information-power technologies","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Peculiarities of Computer Analysis of Biomedical Images of Microcirculation of the Conjunctiva of the Eye\",\"authors\":\"N. Babyuk, S. Pavlov, P. Kolisnyk, Yang Longyin\",\"doi\":\"10.31649/1681-7893-2021-42-2-53-65\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An analysis was carried out, which showed that the task of creating a system for evaluating biomedical images of pathologies of the vessels of the human eye is relevant and needs to be solved, since the existing methods and systems of evaluation, as well as the existing methods of processing biomedical images do not meet the modern requirements for such systems in terms of accuracy , the reliability of processing biomedical images, which leads to the occurrence of errors in the diagnosis in ophthalmological studies. The results of the comparison of the effectiveness of the Kirsch, Sobel, Roberts, Wallace, SUSAN algorithms for processing biomedical images based on the set of information diagnostic features formed are the most informative for image segmentation, the algorithms based on Kirsch filtering and the nonlinear Sobel filter. A system has been developed for evaluating dynamic changes in biomedical images, which allows to evaluate the state of blood vessels and determine the conjunctival index based on the following indicators: the ratio of the diameters of arterioles and corresponding venules; caliber irregularities; meander windings; microaneurysms; glomeruli; reticular structures of vessels; changes in the number of functioning capillaries; arteriolo-venular anastomoses; hemorrhages; perivascular edema; sludge phenomena; microthrombi\",\"PeriodicalId\":142101,\"journal\":{\"name\":\"Optoelectronic information-power technologies\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optoelectronic information-power technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31649/1681-7893-2021-42-2-53-65\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optoelectronic information-power technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31649/1681-7893-2021-42-2-53-65","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

分析表明,建立人眼血管病变生物医学图像评价系统的任务是相关的,需要解决的问题,因为现有的评价方法和系统,以及现有的生物医学图像处理方法,在精度、处理生物医学图像的可靠性、这导致了眼科研究中诊断错误的发生。对比了Kirsch、Sobel、Roberts、Wallace、SUSAN算法在处理生物医学图像时所形成的信息诊断特征集的有效性,结果表明基于Kirsch滤波和非线性Sobel滤波的算法在图像分割中信息量最大。生物医学图像动态变化评估系统,通过以下指标评估血管状态,确定结膜指数:小动脉直径与相应小静脉直径之比;口径违规行为;曲流绕组;微动脉瘤;肾小球;血管的网状结构;功能毛细血管数量的变化;arteriolo-venular吻合;出血;血管周围水肿;污泥的现象;microthrombi
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Peculiarities of Computer Analysis of Biomedical Images of Microcirculation of the Conjunctiva of the Eye
An analysis was carried out, which showed that the task of creating a system for evaluating biomedical images of pathologies of the vessels of the human eye is relevant and needs to be solved, since the existing methods and systems of evaluation, as well as the existing methods of processing biomedical images do not meet the modern requirements for such systems in terms of accuracy , the reliability of processing biomedical images, which leads to the occurrence of errors in the diagnosis in ophthalmological studies. The results of the comparison of the effectiveness of the Kirsch, Sobel, Roberts, Wallace, SUSAN algorithms for processing biomedical images based on the set of information diagnostic features formed are the most informative for image segmentation, the algorithms based on Kirsch filtering and the nonlinear Sobel filter. A system has been developed for evaluating dynamic changes in biomedical images, which allows to evaluate the state of blood vessels and determine the conjunctival index based on the following indicators: the ratio of the diameters of arterioles and corresponding venules; caliber irregularities; meander windings; microaneurysms; glomeruli; reticular structures of vessels; changes in the number of functioning capillaries; arteriolo-venular anastomoses; hemorrhages; perivascular edema; sludge phenomena; microthrombi
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Detection of armed people in a video stream using convolutional neural networks Approximation of the distribution function of the reflectiveness of the surface by the third-degree polynom Intelligent system for identifying the user's trust rating Review of research towards the myoelectric method of controlling bionic prosthesis The use of laser therapy in herpesvirus injuries of the peripheral nervous system
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1