Fast retinal layer segmentation of spectral domain optical coherence tomography images
文献类型:期刊论文
作者 | Tianqiao Zhang; Zhangjun Song; Xiaogang Wang; Huimin Zheng; Fucang Jia; Jianhuang Wu; Guanglin Li; Qingmao Hu |
刊名 | Journal of Biomedical Optics |
出版日期 | 2015 |
英文摘要 | 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 mu m. 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. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. |
收录类别 | SCI |
原文出处 | http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=GeneralSearch&qid=2&SID=R1n6QlTtwxqEYxoNYsO&page=1&doc=1 |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/7089] |
专题 | 深圳先进技术研究院_医工所 |
作者单位 | Journal of Biomedical Optics |
推荐引用方式 GB/T 7714 | Tianqiao Zhang,Zhangjun Song,Xiaogang Wang,et al. Fast retinal layer segmentation of spectral domain optical coherence tomography images[J]. Journal of Biomedical Optics,2015. |
APA | Tianqiao Zhang.,Zhangjun Song.,Xiaogang Wang.,Huimin Zheng.,Fucang Jia.,...&Qingmao Hu.(2015).Fast retinal layer segmentation of spectral domain optical coherence tomography images.Journal of Biomedical Optics. |
MLA | Tianqiao Zhang,et al."Fast retinal layer segmentation of spectral domain optical coherence tomography images".Journal of Biomedical Optics (2015). |
入库方式: OAI收割
来源:深圳先进技术研究院
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