Layer extraction in rodent retinal images acquired by optical coherence tomography

被引：0
|
作者：
József Molnár
Dmitry Chetverikov
Delia Cabrera DeBuc
Wei Gao
Gábor Márk Somfai
机构：
[1] MTA SZTAKI and Eötvös Loránd University,Bascom Palmer Eye Institute, Miller School of Medicine
[2] University of Miami,Department of Ophthalmology
[3] Semmelweis University,undefined
来源：
Machine Vision and Applications | 2012年 / 23卷
关键词：
Optical coherence tomography; Retinal images; Retinal layers; Segmentation; Variational methods;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Optical coherence tomography (OCT) is a modern technique that allows for in vivo, fast, high-resolution 3D imaging. OCT can be efficiently used in eye research and diagnostics, when retinal images are processed to extract borders of retinal layers. In this paper, we present two novel algorithms for delineation of three main borders in rodent retinal images. The first, fast algorithm is based on row projections in a sliding window. It provides initial borders for a slower but more precise variational algorithm that iteratively refines the borders. The results obtained by the two algorithms are quantitatively evaluated by comparison to the borders manually extracted in a set of retinal images.
引用
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页码：1129 / 1139
页数：10
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