Fast retinal layer segmentation of spectral domain optical coherence tomography images

Tianqiao Zhang; Zhangjun Song; Xiaogang Wang; Huimin Zheng; Fucang Jia; Jianhuang Wu; Guanglin Li; Qingmao Hu

doi:10.1117/1.JBO.20.9.096014

21 September 2015 Fast retinal layer segmentation of spectral domain optical coherence tomography images

Tianqiao Zhang, Zhangjun Song, Xiaogang Wang, Huimin Zheng, Fucang Jia, Jianhuang Wu, Guanglin Li, Qingmao Hu

Author Affiliations +

Journal of Biomedical Optics, Vol. 20, Issue 9, 096014 (September 2015). https://doi.org/10.1117/1.JBO.20.9.096014

Abstract

An approach to segment macular layer thicknesses from spectral domain optical coherence tomography has been proposed. The main contribution is to decrease computational costs while maintaining high accuracy via exploring Kalman filtering, customized active contour, and curve smoothing. Validation on 21 normal volumes shows that 8 layer boundaries could be segmented within 5.8 s with an average layer boundary error <2.35 μm. It has been compared with state-of-the-art methods for both normal and age-related macular degeneration cases to yield similar or significantly better accuracy and is 37 times faster. The proposed method could be a potential tool to clinically quantify the retinal layer boundaries.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Tianqiao Zhang, Zhangjun Song, Xiaogang Wang, Huimin Zheng, Fucang Jia, Jianhuang Wu, Guanglin Li, and Qingmao Hu "Fast retinal layer segmentation of spectral domain optical coherence tomography images," Journal of Biomedical Optics 20(9), 096014 (21 September 2015). https://doi.org/10.1117/1.JBO.20.9.096014

Published: 21 September 2015

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Cited by 9 scholarly publications and 1 patent.

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KEYWORDS

Image segmentation

Optical coherence tomography

Retina

Filtering (signal processing)

Electronic filtering

Image filtering

Eye

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