Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation

被引：613

作者：

Chiu, Stephanie J. ^{[1
]}

Li, Xiao T. ^{[1
]}

Nicholas, Peter ^{[2
]}

Toth, Cynthia A. ^{[1
,2
]}

Izatt, Joseph A. ^{[1
,2
]}

Farsiu, Sina ^{[1
,2
]}

机构：

[1] Duke Univ, Dept Biomed Engn, Durham, NC 27708 USA

[2] Duke Univ, Med Ctr, Dept Ophthalmol, Durham, NC 27710 USA

来源：

OPTICS EXPRESS | 2010年 / 18卷 / 18期

关键词：

D O I：

10.1364/OE.18.019413

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Segmentation of anatomical and pathological structures in ophthalmic images is crucial for the diagnosis and study of ocular diseases. However, manual segmentation is often a time-consuming and subjective process. This paper presents an automatic approach for segmenting retinal layers in Spectral Domain Optical Coherence Tomography images using graph theory and dynamic programming. Results show that this method accurately segments eight retinal layer boundaries in normal adult eyes more closely to an expert grader as compared to a second expert grader. (C) 2010 Optical Society of America

引用

页码：19413 / 19428

页数：16

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