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视网膜血管病变的半自动评估工具。

Semi-automated evaluation tool for retinal vasculopathy.

作者信息

Benavent X, Martínez-Costa L, Ayala G, Domingo J, Marco P

机构信息

Institute of Robotics, University of Valencia, Polígono de la Coma, s/n, Aptdo 2085, 46023 Valencia, Spain.

出版信息

Comput Methods Programs Biomed. 2009 Sep;95(3):288-99. doi: 10.1016/j.cmpb.2009.05.008. Epub 2009 Jun 21.

Abstract

The ocular fundus is the only area of human body where vascular system is visible using relatively simple instrumentation. Furthermore, there is medical suggestive evidence of a direct relationship between certain measures of vascular characteristics in the ocular fundus (arteriolar and venular calibers and focal arteriolar narrowing) and cardiovascular diseases. In order to establish such relationship on sound statistical basis a method must be provided to measure the needed values in an easy, yet precise and repeatable way. This paper presents a system to assist physicians in signaling and storing the data associated to signs of vascular deterioration and vascular calibers in non-mydriatic ocular fundus images. The system is built around a graphical user interface that, even not fully automatic, guides the practitioner to mark certain anatomic visible features in an easy and precise way. The data are exported in common database formats for further processing and a statistical summary is also presented.

摘要

眼底是人体唯一可使用相对简单仪器就能看到血管系统的部位。此外,有医学提示性证据表明,眼底某些血管特征测量值(小动脉和小静脉管径以及局灶性小动脉狭窄)与心血管疾病之间存在直接关系。为了在可靠的统计基础上建立这种关系,必须提供一种方法,以便以简便、精确且可重复的方式测量所需值。本文介绍了一种系统,可协助医生在非散瞳眼底图像中标记与血管病变迹象和血管管径相关的数据并进行存储。该系统围绕图形用户界面构建,即使不是全自动的,也能引导从业者轻松、精确地标记某些可见的解剖特征。数据以通用数据库格式导出以便进一步处理,并且还会给出统计摘要。

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