Retinal imaging and image analysis.
Retinal imaging and image analysis.
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DOI：
10.1109/rbme.2010.2084567
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发表时间：
2010
影响因子：
17.6
通讯作者：
Sonka M
中科院分区：
文献类型：
--
作者：
Abràmoff MD;Garvin MK;Sonka M
许多重要的眼部疾病以及全身性疾病都表现在视网膜上。虽然一些其他的解剖结构有助于视觉的过程中，这篇评论的重点是视网膜成像和图像分析。在简要概述了工业化世界中最常见的致盲原因，包括年龄相关性黄斑变性、糖尿病视网膜病变和青光眼之后，综述致力于视网膜成像和图像分析方法及其临床意义。本文综述了眼底二维成像方法和三维光学相干断层成像技术。特别注意眼底照片的定量分析技术，重点是临床相关的评估视网膜血管系统，视网膜病变的识别，视神经乳头（ONH）的形状评估，建立视网膜图谱，并为视网膜疾病的人群筛查的自动化方法。一个单独的部分专门用于OCT图像的3-D分析，描述视网膜层、视网膜血管系统的分割和分析方法，以及症状性渗出液相关紊乱的2-D/3-D检测，以及基于OCT的ONH形态和形状分析。在整个文件中，图像采集，图像分析和临床相关性的方面一起处理，考虑到它们相互关联的关系。
Many important eye diseases as well as systemic diseases manifest themselves in the retina. While a number of other anatomical structures contribute to the process of vision, this review focuses on retinal imaging and image analysis. Following a brief overview of the most prevalent causes of blindness in the industrialized world that includes age-related macular degeneration, diabetic retinopathy, and glaucoma, the review is devoted to retinal imaging and image analysis methods and their clinical implications. Methods for 2-D fundus imaging and techniques for 3-D optical coherence tomography (OCT) imaging are reviewed. Special attention is given to quantitative techniques for analysis of fundus photographs with a focus on clinically relevant assessment of retinal vasculature, identification of retinal lesions, assessment of optic nerve head (ONH) shape, building retinal atlases, and to automated methods for population screening for retinal diseases. A separate section is devoted to 3-D analysis of OCT images, describing methods for segmentation and analysis of retinal layers, retinal vasculature, and 2-D/3-D detection of symptomatic exudate-associated derangements, as well as to OCT-based analysis of ONH morphology and shape. Throughout the paper, aspects of image acquisition, image analysis, and clinical relevance are treated together considering their mutually interlinked relationships.