Automated layer segmentation of macular OCT images using dual-scale gradient information

被引：227

作者：

Yang, Qi ^{[1
]}

Reisman, Charles A. ^{[1
]}

Wang, Zhenguo ^{[1
]}

Fukuma, Yasufumi ^{[1
]}

Hangai, Masanori ^{[2
]}

Yoshimura, Nagahisa ^{[2
]}

Tomidokoro, Atsuo ^{[3
]}

Araie, Makoto ^{[3
]}

Raza, Ali S. ^{[4
]}

Hood, Donald C. ^{[4
,5
]}

Chan, Kinpui ^{[1
]}

机构：

[1] Topcon Adv Biomed Imaging Lab, Oakland, NJ 07436 USA

[2] Kyoto Univ, Dept Ophthalmol & Visual Sci, Kyoto, Japan

[3] Univ Tokyo, Sch Med, Dept Ophthalmol, Tokyo 113, Japan

[4] Columbia Univ, Dept Psychol, New York, NY 10027 USA

[5] Columbia Univ, Dept Ophthalmol, New York, NY 10027 USA

来源：

OPTICS EXPRESS | 2010年 / 18卷 / 20期

关键词：

OPTICAL COHERENCE TOMOGRAPHY; RETINAL LAYERS; THICKNESS; MODEL;

D O I：

10.1364/OE.18.021293

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

A novel automated boundary segmentation algorithm is proposed for fast and reliable quantification of nine intra-retinal boundaries in optical coherence tomography (OCT) images. The algorithm employs a two-step segmentation schema based on gradient information in dual scales, utilizing local and complementary global gradient information simultaneously. A shortest path search is applied to optimize the edge selection. The segmentation algorithm was validated with independent manual segmentation and a reproducibility study. It demonstrates high accuracy and reproducibility in segmenting normal 3D OCT volumes. The execution time is about 16 seconds per volume (480x512x128 voxels). The algorithm shows potential for quantifying images from diseased retinas as well. (C) 2010 Optical Society of America

引用

页码：21293 / 21307

页数：15

共 33 条

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