title: Fast retinal layer segmentation of spectral domain optical coherence tomography images.
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.
authors.affiliation: Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, 1068 Xueyuan Boulevard, Shenzhen 518055, ChinabUniversity of Chinese Academy of Sciences, Shenzhen College of Advanced Technology, 1068 Xueyuan Boulevard, Shenzhen 518055, China.
authors.forename: Tianqiao
authors.initials: T
authors.lastname: Zhang
authors.affiliation: Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, 1068 Xueyuan Boulevard, Shenzhen 518055, China.
authors.forename: Zhangjun
authors.initials: Z
authors.lastname: Song
authors.affiliation: Shanxi Eye Hospital, 100 Fudong Street, Taiyuan 030002, China.
authors.forename: Xiaogang
authors.initials: X
authors.lastname: Wang
authors.affiliation: Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, 1068 Xueyuan Boulevard, Shenzhen 518055, China.
authors.forename: Huimin
authors.initials: H
authors.lastname: Zheng
authors.affiliation: Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, 1068 Xueyuan Boulevard, Shenzhen 518055, China.
authors.forename: Fucang
authors.initials: F
authors.lastname: Jia
authors.affiliation: Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, 1068 Xueyuan Boulevard, Shenzhen 518055, China.
authors.forename: Jianhuang
authors.initials: J
authors.lastname: Wu
authors.affiliation: Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, 1068 Xueyuan Boulevard, Shenzhen 518055, ChinadKey Laboratory of Human-Machine Intelligence Synergy Systems, 1068 Xueyuan Boulevard, Shenzhen 518055, China.
authors.forename: Guanglin
authors.initials: G
authors.lastname: Li
authors.affiliation: Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, 1068 Xueyuan Boulevard, Shenzhen 518055, ChinadKey Laboratory of Human-Machine Intelligence Synergy Systems, 1068 Xueyuan Boulevard, Shenzhen 518055, China.
authors.forename: Qingmao
authors.initials: Q
authors.lastname: Hu
mesh_terms: D003199:Computer Systems; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D008266:Macula Lutea / Q000473:pathology*; D008268:Macular Degeneration / Q000473:pathology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D041623:Tomography, Optical Coherence / Q000379:methods*