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一种用于计算机化视网膜出血分析的系统。

A system for computerised retinal haemorrhage analysis.

作者信息

Aslam Tariq, Chua Paul, Richardson Matthew, Patel Praveen, Musadiq Mohammed

机构信息

Moorfields Eye Hospital, London, UK.

出版信息

BMC Res Notes. 2009 Sep 28;2:196. doi: 10.1186/1756-0500-2-196.

DOI:10.1186/1756-0500-2-196
PMID:19785742
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2760568/
Abstract

BACKGROUND

Our aim was to develop an objective computerised system for measuring different types of retinal haemorrhages in differing digital images, for use as a research tool. Despite developing various fully automated systems of retinal haemorrhage measurement we ultimately found user interaction to be necessary to achieve satisfactory validity of segmentation, and developed an interactive system of haemorrhage assessment based on this.

FINDINGS

The Haemorrhage Assessment System (HAS) presented here is an open access interactive program with graphical user interface allowing the ophthalmically trained user to easily delineate different haemorrhage types, optic disc and fovea. The system then automatically calculates a variety of measures, including mean haemorrhage area, total haemorrhage area, centre of mass, distance of centre of mass from disc and fovea, eccentricity and orientation. This paper presents evidence for the validity of HAS by comparison against established software and known results for geometric images.

CONCLUSION

The system should be of use to experimenters studying the distribution and topography of vitreoretinal haemorrhages who require a means of accurately quantifying an ophthalmologist's gold standard assessment of a digital image.

摘要

背景

我们的目标是开发一种客观的计算机系统,用于测量不同数字图像中不同类型的视网膜出血,作为一种研究工具。尽管我们开发了各种全自动视网膜出血测量系统,但最终发现需要用户交互才能实现令人满意的分割有效性,并在此基础上开发了一种交互式出血评估系统。

研究结果

本文介绍的出血评估系统(HAS)是一个具有图形用户界面的开放获取交互式程序,使经过眼科培训的用户能够轻松描绘不同的出血类型、视盘和黄斑。然后,该系统会自动计算各种测量值,包括平均出血面积、总出血面积、质心、质心与视盘和黄斑的距离、偏心率和方向。本文通过与既定软件和几何图像的已知结果进行比较,为HAS的有效性提供了证据。

结论

该系统对于研究玻璃体视网膜出血分布和地形学的实验者应该是有用的,他们需要一种方法来准确量化眼科医生对数字图像的金标准评估。

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Retinal hemorrhages in anastrozole users.使用阿那曲唑患者的视网膜出血。
Optom Vis Sci. 2008 May;85(5):301-8. doi: 10.1097/OPX.0b013e31816bea3b.
2
Retinal and cerebral microvascular signs and diabetes: the age, gene/environment susceptibility-Reykjavik study.视网膜和脑微血管体征与糖尿病:年龄、基因/环境易感性-雷克雅未克研究
Diabetes. 2008 Jun;57(6):1645-50. doi: 10.2337/db07-1455. Epub 2008 Mar 10.
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Retinal haemorrhages in- head trauma resulting from falls: differential diagnosis with non-accidental trauma in patients younger than 2 years of age.跌倒导致头部外伤时的视网膜出血:2岁以下患者非意外性外伤的鉴别诊断
Childs Nerv Syst. 2008 Jul;24(7):815-20. doi: 10.1007/s00381-008-0583-y. Epub 2008 Feb 13.
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Segmentation of candidate dark lesions in fundus images based on local thresholding and pixel density.基于局部阈值处理和像素密度的眼底图像中候选暗病变分割
Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:6736-9. doi: 10.1109/IEMBS.2007.4353907.
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Incidence, distribution, and duration of birth-related retinal hemorrhages: a prospective study.与出生相关的视网膜出血的发生率、分布及持续时间:一项前瞻性研究。
J AAPOS. 2006 Apr;10(2):102-6. doi: 10.1016/j.jaapos.2005.12.005.
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Automatic detection of red lesions in digital color fundus photographs.数字彩色眼底照片中红色病变的自动检测。
IEEE Trans Med Imaging. 2005 May;24(5):584-92. doi: 10.1109/TMI.2005.843738.
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Diabetic retinopathy screening using digital non-mydriatic fundus photography and automated image analysis.使用数字免散瞳眼底摄影和自动图像分析进行糖尿病视网膜病变筛查。
Acta Ophthalmol Scand. 2004 Dec;82(6):666-72. doi: 10.1111/j.1600-0420.2004.00350.x.
8
Automated detection of diabetic retinopathy in digital retinal images: a tool for diabetic retinopathy screening.数字视网膜图像中糖尿病视网膜病变的自动检测:一种用于糖尿病视网膜病变筛查的工具。
Diabet Med. 2004 Jan;21(1):84-90. doi: 10.1046/j.1464-5491.2003.01085.x.
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Automated detection of fundus photographic red lesions in diabetic retinopathy.糖尿病视网膜病变中眼底照片红色病变的自动检测
Invest Ophthalmol Vis Sci. 2003 Feb;44(2):761-6. doi: 10.1167/iovs.02-0418.
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Automated detection of diabetic retinopathy on digital fundus images.基于数字眼底图像的糖尿病视网膜病变自动检测
Diabet Med. 2002 Feb;19(2):105-12. doi: 10.1046/j.1464-5491.2002.00613.x.