• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

眼底彩色图像的视网膜动静脉管径分级。

Retinal artery-vein caliber grading using color fundus imaging.

机构信息

ICT Centre, Commonwealth Scientific and Industrial Research Organization, WA 6014, Australia.

出版信息

Comput Methods Programs Biomed. 2013 Jul;111(1):104-14. doi: 10.1016/j.cmpb.2013.02.004. Epub 2013 Mar 25.

DOI:10.1016/j.cmpb.2013.02.004
PMID:23535181
Abstract

Recent research suggests that retinal vessel caliber (or cross-sectional width) measured from retinal photographs is an important feature for predicting cardiovascular diseases (CVDs). One of the most utilized measures is to quantify retinal arteriolar and venular caliber as the Central Retinal Artery Equivalent (CRAE) and Central Retinal Vein Equivalent (CRVE). However, current computer tools utilize manual or semi-automatic grading methods to estimate CRAE and CRVE. These methods involve a significant amount of grader's time and can add a significant level of inaccuracy due to repetitive nature of grading and intragrader distances. An automatic and time efficient grading of the vessel caliber with highly repeatable measurement is essential, but is technically challenging due to a substantial variation of the retinal blood vessels' properties. In this paper, we propose a new technique to measure the retinal vessel caliber, which is an "edge-based" vessel tracking method. We measured CRAE and CRVE from each of the vessel types. We achieve very high accuracy (average 96.23%) for each of the cross-sectional width measurement compared to manually graded width. For overall vessel caliber measurement accuracy of CRAE and CRVE, we compared the results with an existing semi-automatic method which showed high correlation of 0.85 and 0.92, respectively. The intra-grader reproducibility of our method was high, with the correlation coefficient of 0.881 for CRAE and 0.875 for CRVE.

摘要

最近的研究表明,从视网膜照片中测量视网膜血管口径(或横截面积)是预测心血管疾病(CVDs)的重要特征。最常用的测量方法之一是量化视网膜动脉和静脉的口径,作为中央视网膜动脉当量(CRAE)和中央视网膜静脉当量(CRVE)。然而,目前的计算机工具利用手动或半自动分级方法来估计 CRAE 和 CRVE。这些方法涉及到大量的分级员时间,并且由于分级的重复性和分级员之间的距离,可能会增加相当大的不准确性。自动和高效的血管口径分级以及高度可重复的测量是至关重要的,但由于视网膜血管性质的显著变化,这在技术上具有挑战性。在本文中,我们提出了一种新的测量视网膜血管口径的技术,这是一种“基于边缘”的血管跟踪方法。我们测量了每种血管类型的 CRAE 和 CRVE。与手动分级宽度相比,我们的方法对每个横截面宽度测量都达到了非常高的精度(平均 96.23%)。对于 CRAE 和 CRVE 的整体血管口径测量精度,我们将结果与现有的半自动方法进行了比较,结果显示相关性分别为 0.85 和 0.92。我们的方法的分级员内可重复性很高,CRAE 的相关系数为 0.881,CRVE 的相关系数为 0.875。

相似文献

1
Retinal artery-vein caliber grading using color fundus imaging.眼底彩色图像的视网膜动静脉管径分级。
Comput Methods Programs Biomed. 2013 Jul;111(1):104-14. doi: 10.1016/j.cmpb.2013.02.004. Epub 2013 Mar 25.
2
Ethnic variability in retinal vessel caliber: a potential source of measurement error from ocular pigmentation?--the Sydney Childhood Eye Study.视网膜血管管径的种族差异:眼部色素沉着导致测量误差的潜在来源?——悉尼儿童眼病研究
Invest Ophthalmol Vis Sci. 2008 Apr;49(4):1362-6. doi: 10.1167/iovs.07-0150.
3
Correlation and reproducibility of retinal vascular geometric measurements for stereoscopic retinal images of the same eyes.同一只眼睛立体视网膜图像的视网膜血管几何测量的相关性和可重复性。
Ophthalmic Epidemiol. 2012 Oct;19(5):322-7. doi: 10.3109/09286586.2012.702258.
4
Retinal Artery and Vein Classification for Automatic Vessel Caliber Grading.用于自动血管管径分级的视网膜动脉和静脉分类
Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:870-873. doi: 10.1109/EMBC.2018.8512287.
5
Retinal vessel caliber and the long-term incidence of age-related cataract: the Blue Mountains Eye Study.视网膜血管管径与年龄相关性白内障的长期发病率:蓝山眼研究
Ophthalmology. 2008 Oct;115(10):1693-8, 1698.e1. doi: 10.1016/j.ophtha.2008.04.005. Epub 2008 Jun 5.
6
Comparison of subjective and objective methods to determine the retinal arterio-venous ratio using fundus photography.使用眼底摄影术比较主观和客观方法测定视网膜动静脉比例
J Optom. 2015 Oct-Dec;8(4):252-7. doi: 10.1016/j.optom.2014.07.002. Epub 2014 Jul 26.
7
Suboptimal image focus broadens retinal vessel caliber measurement.图像聚焦不佳会使视网膜血管口径测量变宽。
Invest Ophthalmol Vis Sci. 2011 Nov 1;52(12):8558-61. doi: 10.1167/iovs.11-7917.
8
Semi-automated retinal vessel analysis in nonmydriatic fundus photography.非散瞳眼底照相的半自动视网膜血管分析。
Acta Ophthalmol. 2014 Feb;92(1):e42-9. doi: 10.1111/aos.12242. Epub 2013 Jul 23.
9
Retinal artery and venular caliber grading: a semi-automated evaluation tool.视网膜动脉和静脉管径分级:一种半自动评估工具。
Comput Biol Med. 2014 Jan;44:1-9. doi: 10.1016/j.compbiomed.2013.07.018. Epub 2013 Aug 22.
10
Automated measurement of the arteriolar-to-venular width ratio in digital color fundus photographs.自动测量数字眼底彩色照片中小动脉到小静脉的宽度比。
IEEE Trans Med Imaging. 2011 Nov;30(11):1941-50. doi: 10.1109/TMI.2011.2159619. Epub 2011 Jun 16.

引用本文的文献

1
A Machine Learning Prediction Model to Identify Individuals at Risk of 5-Year Incident Stroke Based on Retinal Imaging.一种基于视网膜成像识别5年中风发病风险个体的机器学习预测模型。
Sensors (Basel). 2025 Mar 19;25(6):1917. doi: 10.3390/s25061917.
2
Retinal vascular alterations in cognitive impairment: A multicenter study in China.认知障碍中的视网膜血管改变:一项中国的多中心研究。
Alzheimers Dement. 2025 Feb;21(2):e14593. doi: 10.1002/alz.14593.
3
Analysis and comparison of retinal vascular parameters under different glucose metabolic status based on deep learning.
基于深度学习的不同葡萄糖代谢状态下视网膜血管参数的分析与比较
Int J Ophthalmol. 2024 Sep 18;17(9):1581-1591. doi: 10.18240/ijo.2024.09.02. eCollection 2024.
4
Obesity-induced ocular changes in children and adolescents: A review.肥胖引起的儿童和青少年眼部变化:综述
Front Pediatr. 2023 Mar 23;11:1133965. doi: 10.3389/fped.2023.1133965. eCollection 2023.
5
Association of microvascular biomarkers in fluorescein angiography with macrovascular-related mortality in clinical routine data.荧光素眼底血管造影中微血管生物标志物与临床常规数据中大血管相关死亡率的关系。
PLoS One. 2022 May 5;17(5):e0266423. doi: 10.1371/journal.pone.0266423. eCollection 2022.
6
Accurate image analysis of the retina using hessian matrix and binarisation of thresholded entropy with application of texture mapping.利用黑塞矩阵对视网膜进行精确图像分析,并通过纹理映射应用阈值熵的二值化处理。
PLoS One. 2014 Apr 29;9(4):e95943. doi: 10.1371/journal.pone.0095943. eCollection 2014.