AUTOMATED SEGMENTATION OF RETINAL LAYERS IN OCT IMAGING AND DERIVED OPHTHALMIC MEASURES

被引：30
|
作者：
Rossant, Florence [1 ]
Ghorbel, Itebeddine [1 ,2 ,3 ]
Bloch, Isabelle [2 ]
Paques, Michel [4 ]
Tick, Sarah [4 ]
机构：
[1] ISEP Paris, Paris, France
[2] Telecom ParisTech, CNRS, LTCI UMR 5141, Paris, France
[3] FOVEA Pharmaceuticals Paris, Paris, France
[4] Ctr Hospitalier Natl Quinze Vingts Paris, Clin Investigat Ctr 503, Paris, France
来源：
2009 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1 AND 2 | 2009年
关键词：
OCT retinal imaging; Automated segmentation; Quantitative evaluation; OPTICAL COHERENCE TOMOGRAPHY; IMAGES;
D O I：
10.1109/ISBI.2009.5193320
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
This paper proposes an automated method for the segmentation of eight retinal layers in high resolution OCT images. It has been evaluated based on comparison with manual segmentation performed by five different experts. The method has been successfully applied on a database of 72 images. Quantitative measures are then derived as an aid to ophthalmic diagnosis. A good agreement with measures derived from manual segmentation is obtained which allows us to use the proposed method for retinal variability studies.
引用
收藏
页码：1370 / +
页数：2
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