IOE OpenIR  > 光电探测与信号处理研究室(五室)
Automatic and robust segmentation of endoscopic OCT images and optical staining
Zhang, Jianlin1,2; Yuan, Wu2; Liang, Wenxuan2; Yu, Shanyong3; Liang, Yanmei2,4; Xu, Zhiyong1; Wei, Yuxing1; Li, Xingde2
Source PublicationBiomedical Optics Express
Volume8Issue:5Pages:2697-2708
2017
Language英语
ISSN2156-7085
AbstractWe report a generic method for automatic segmentation of endoscopic optical coherence tomography (OCT) images. In this method, OCT images are first processed with L1-L0norm minimization based de-noising and smoothing algorithms to increase the signal-to-noise ratio (SNR) and enhance the contrast between adjacent layers. The smoothed images are then formulated into cost graphs based on their vertical gradients. After that, tissue-layer segmentation is performed with the shortest path search algorithm. The efficacy and capability of this method are demonstrated by automatically and robustly identifying all five interested layers of guinea pig esophagus from in vivo endoscopic OCT images. Furthermore, thanks to the ultrahigh resolution, high SNR of endoscopic OCT images and the high segmentation accuracy, this method permits in vivo optical staining histology and facilitates quantitative analysis of tissue geometric properties, which can be very useful for studying tissue pathologies and potentially aiding clinical diagnosis in real time. © 2017 Optical Society of America.
KeywordDiagnosis - Endoscopy - Image processing - Image segmentation - Medicine - Optical data processing - Optical tomography - Pattern recognition - Signal to noise ratio - Tissue - Tomography
Indexed BySCI ; Ei
Document Type期刊论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/8786
Collection光电探测与信号处理研究室(五室)
Affiliation1.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu; Sichuan; 610209, China;
2.Department of Biomedical Engineering, Johns Hopkins University, Baltimore; MD; 21205, United States;
3.Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore; MD; 21205, United States;
4.Institute of Modern Optics, Nankai University, Tianjin; 300071, China
Recommended Citation
GB/T 7714
Zhang, Jianlin,Yuan, Wu,Liang, Wenxuan,et al. Automatic and robust segmentation of endoscopic OCT images and optical staining[J]. Biomedical Optics Express,2017,8(5):2697-2708.
APA Zhang, Jianlin.,Yuan, Wu.,Liang, Wenxuan.,Yu, Shanyong.,Liang, Yanmei.,...&Li, Xingde.(2017).Automatic and robust segmentation of endoscopic OCT images and optical staining.Biomedical Optics Express,8(5),2697-2708.
MLA Zhang, Jianlin,et al."Automatic and robust segmentation of endoscopic OCT images and optical staining".Biomedical Optics Express 8.5(2017):2697-2708.
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