Automated segmentation of the macula by optical coherence tomography

被引：87
|
作者：
Fabritius, Tapio [1 ]
Makita, Shuichi [2 ,3 ]
Miura, Masahiro [3 ,4 ]
Myllyla, Risto [1 ]
Yasuno, Yoshiaki [2 ,3 ]
机构：
[1] Univ Oulu, Optoelect & Measurement Tech Lab, Oulu 90014, Finland
[2] Computat Opt Grp, Tsukuba, Ibaraki 3058573, Japan
[3] Computat Opt & Ophthalmol Grp, Tsukuba, Ibaraki 3058573, Japan
[4] Tokyo Med Univ, Dept Ophthalmol, Ibaraki 3000395, Japan
来源：
OPTICS EXPRESS | 2009年 / 17卷 / 18期
关键词：
RETINAL THICKNESS;
D O I：
10.1364/OE.17.015659
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
This paper presents optical coherence tomography (OCT) signal intensity variation based segmentation algorithms for retinal layer identification. Its main ambition is to reduce the calculation time required by layer identification algorithms. Two algorithms, one for the identification of the internal limiting membrane (ILM) and the other for retinal pigment epithelium (RPE) identification are implemented to evaluate structural features of the retina. Using a 830 nm spectral domain OCT device, this paper demonstrates a segmentation method for the study of healthy and diseased eyes. (C) 2009 Optical Society of America
引用
收藏
页码：15659 / 15669
页数：11
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