3D Topographic Reconstruction of Optic Nerve Head Based on SFS Approach
Wang Peipei1, Sun Jiuai2*
1School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093,China; 2School of Medical Imaging, Shanghai University of Medical and Health Sciences, Shanghai 201318,China
王培培, 孙九爱. 一种基于SFS的视乳头三维形貌重建方法[J]. 中国生物医学工程学报, 2018, 37(1): 119-123.
Wang Peipei, Sun Jiuai. 3D Topographic Reconstruction of Optic Nerve Head Based on SFS Approach. Chinese Journal of Biomedical Engineering, 2018, 37(1): 119-123.
[1] Quigley HA, Broman AT. The number of people with glaucoma worldwide in 2010 and 2020 [J]. Digest of the World Core Medical Journals, 2006,90(3):262-267. [2] 党鸿, 辛晓蓉. 青光眼视神经损伤机制的研究进展 [J]. 眼科新进展, 2016, 36(7):680-683. [3] Septiarini A, Harjoko A. Automatic glaucoma detection based on the type of features used: A review [J]. Journal of Theoretical & Applied Information Technology, 2015,2872(3): 366-375. [4] Kilintzis V, Chouvarda I, Topouzis F, et al. Symbolic representation of optic nerve head cup presents difference in patients with Primary Open Angle Glaucoma[C]// IEEE International Conference on Information Technology and Applications in Biomedicine. Corfu:IEEE, 2011:1-4. [5] Heijl A, Aspberg J, Bengtsson B. The effect of different criteria on the number of patients blind from open-angle glaucoma[J]. BMC Ophthalmology, 2011, 11(1):1-6. [6] Almazroa A, Burman R, Raahemifar K, et al. Optic disc and optic cup segmentation methodologies for glaucoma image detection: A survey [J]. Journal of Ophthalmology, 2015, 2015(7):1-28 [7] Mary MCVS, Rajsingh EB, Jacob JKK, et al. An empirical study on optic disc segmentation using an active contour model [J]. Biomedical Signal Processing & Control, 2015, 18:19-29. [8] Nawaldgi S. Review of automated glaucoma detection techniques [C]//International Conference on Wireless Communications. Signal Processing and Networking. Boston:IEEE, 2016:1435-1438. [9] Huang D, Swanson EA, Lin CP et al. Optical coherence tomography[J]. Science, 1991,254(5035):1178-1181. [10] 郭慧敏. OCT检测视网膜神经纤维层厚度在青光眼诊断中的应用进展 [J]. 医学综述, 2013, 19(7):1281-1283. [11] Kamal DS,Garwayheath DF,Hitchings RA,et al. Use of sequential Heidelberg retina tomograph images to identify changes at the optic disc in ocular hypertensive patients at risk of developing glaucoma[J]. British Journal of Ophthalmology, 2000,84 (9): 993-998. [12] 邢业娇, 王大博, 纪珍,等. 海德堡OCT测量后极部视网膜厚度对青光眼诊断价值 [J]. 青岛大学医学院学报.2013, 2013(1):38-40. [13] Yin F, Wong DWK, Quan Y, Ai PY, Tan NM, Gopalakrishnan K, et al. A cloud-based system for automatic glaucoma screening [C]//Annual International Coference of the IEEE. Milan:IEEE, 2015: 1596-1599. [14] Corona E, Mitra S, Wilson M, et al. Digital stereo image analyzer for generating automated 3-D measures of optic disc deformation in glaucoma[J]. IEEE Transactions on Medical Imaging, 2002, 21 (10): 1244-1253. [15] 陈骥, 彭承琳. 眼底图像的三维重建[J]. 生物医学工程杂志, 2008,25(1):177-181. [16] 李超, 梁斌, 陈武凡, 等. 由二维眼底正投影图像向三维曲面逆投影成像的重建算法[J]. 中国生物医学工程学报, 2002,21(4):346-350. [17] Horn BKP. Height and gradient from shading[J]. International Journal of Computer Vision, 1990,5(1):37-75. [18] Tsai PS, Shah M, editors. A fast linear shape from shading [C]// Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Champaign:IEEE, 1992:734-736. [19] Horn BKP. Shape from Shading: A Method for Obtaining the Shape of a Smooth Opaque Object from One View[M]. Cambridge: MIT Press,1970. [20] Elhabian SY. Hands on shape from shading [J]. Technical Report, 2008. [21] Fumero F, Alayon S, Sanchez JL, et al. RIM-ONE: An open retinal image database for optic nerve evaluation[C]// Proceedings of the 2011 24th International Symposium on Computer-Based Medical Systems. Washington DC: IEEE, 2011:1-6.