Acta Optica Sinica, Volume. 36, Issue 10, 1011003(2016)
Automated Retinal Layer Segmentation Based on Optical Coherence Tomographic Images
[1] [1] Mishra A, Wong A, Bizheva K, et al. Intra-retinal layer segmentation in optical coherence tomography images[J]. Optics Express, 2009, 17(26): 23719-23728.
[2] [2] Hu Zhixiong, Hao Bingtao, Liu Wenli, et al. Research on point spread function phantom fabrication and application for evaluating resolution performance of OCT systems[J]. Acta Optica Sinica, 2015, 35(4): 0417001.
[3] [3] Guo Xin, Wang Xiangzhao, Bu Peng, et al. Effects of scattering on spectral shape and depth resolution in Fourier domain optical coherence tomography[J]. Acta Optica Sinica, 2014, 34(1): 0117001.
[4] [4] Chiu S J, Li X T, Nicholas P, et al. Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation[J]. Optics Express, 2010, 18(18): 19413-19428.
[5] [5] Shi F, Chen X, Zhao H, et al. Automated 3-D retinal layer segmentation of macular optical coherence tomography images with serous pigment epithelial detachments[J]. IEEE Transactions on Medical Imaging, 2015, 34(2): 441-452.
[6] [6] Ishikawa H, Piette S, Liebmann J M, et al. Detecting the inner and outer borders of the retinal nerve fiber layer using optical coherence tomography[J]. Graefe′s Archive for Clinical and Experimental Ophthalmology, 2002, 240(5): 362-371.
[7] [7] Cha Y M, Han J H. High-accuracy retinal layer segmentation for optical coherence tomography using tracking kernels based on Gaussian mixture model[J]. IEEE Journal of Selected Topics in Quantum Electronics, 2014, 20(2): 6801010.
[8] [8] Gtzinger E, Pircher M, Baumann B, et al. Speckle noise reduction in high speed polarization sensitive spectral domain optical coherence tomography[J]. Optics Express, 2011, 19(15): 14568-14584.
[9] [9] Fercher A F, Hitzenberger C K, Kamp G, et al. Measurement of intraocular distances by backscattering spectral interferometry[J]. Optics Communications, 1995, 117(1): 43-48.
[10] [10] Schmitt J M, Xiang S H, Yung K M. Speckle in optical coherence tomography[J]. Journal of Biomedical Optics, 1999, 4(1): 95-105.
[11] [11] Fernández D C, Salinas H M, Puliafito C A. Automated detection of retinal layer structures on optical coherence tomography images[J]. Optics Express, 2005, 13(25): 10200-10216.
[12] [12] Ishikawa H, Stein D M, Wollstein G, et al. Macular segmentation with optical coherence tomography[J]. Investigative Ophthalmology & Visual Science, 2005, 46(6): 2012-2017.
[13] [13] Ahlers C, Simader C, Geitzenauer W, et al. Automatic segmentation in three-dimensional analysis of fibrovascular pigment epithelial detachment using high-definition optical coherence tomography[J]. British Journal of Ophthalmology, 2008, 92(2): 197-203.
[14] [14] Fabritius T, Makita S, Miura M, et al. Automated segmentation of the macula by optical coherence tomography[J]. Optics Express, 2009, 17(18): 15659-15669.
[15] [15] Mujat M, Chan R C, Cense B, et al. Retinal nerve fiber layer thickness map determined from optical coherence tomography images[J]. Optics Express, 2005, 13(23): 9480-9491.
[16] [16] Yazdanpanah A, Hamarneh G, Smith B, et al. Intra-retinal layer segmentation in optical coherence tomography using an active contour approach[C]. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2009: 649-656.
[17] [17] Yazdanpanah A, Hamarneh G, Smith B R, et al. Segmentation of intra-retinal layers from optical coherence tomography images using an active contour approach[J]. IEEE Transactions on Medical Imaging, 2011, 30(2): 484-496.
[18] [18] Garvin M K, Abramoff M D, Wu X, et al. Automated 3-D intraretinal layer segmentation of macular spectral-domain optical coherence tomography images[J]. IEEE Transactions on Medical Imaging, 2009, 28(9): 1436-1447.
[19] [19] Yang Q, Reisman C A, Wang Z, et al. Automated layer segmentation of macular OCT images using dual-scale gradient information[J]. Optics Express, 2010, 18(20): 21293-21307.
[20] [20] Fuller A R, Zawadzki R J, Choi S, et al. Segmentation of three-dimensional retinal image data[J]. IEEE Transactions on Visualization and Computer Graphics, 2007, 13(6): 1719-1726.
[21] [21] Gtzinger E, Pircher M, Geitzenauer W, et al. Retinal pigment epithelium segmentation by polarization sensitive optical coherence tomography[J]. Optics Express, 2008, 16(21): 16410-16422.
[22] [22] Hee M R, Swanson E A, Fujimoto J G, et al. Polarization-sensitive low-coherence reflectometer for birefringence characterization and ranging[J]. Journal of the Optical Society of America B, 1992, 9(6): 903-908.
[23] [23] Wang L, Meng Z, Yao X S, et al. Adaptive speckle reduction in OCT volume data based on block-matching and 3-D filtering[J]. IEEE Photonics Technology Letters, 2012, 24(20): 1802-1804.
[24] [24] Dabov K, Foi A, Katkovnik V, et al. Image denoising by sparse 3-D transform-domain collaborative filtering[J]. IEEE Transactions on Image Processing, 2007, 16(8): 2080-2095.
[25] [25] Niu S, Chen Q, de Sisternes L, et al. Automated retinal layers segmentation in SD-OCT images using dual-gradient and spatial correlation smoothness constraint[J]. Computers in Biology Medicine, 2014, 54: 116-128.
Get Citation
Copy Citation Text
He Qiyu, Li Zhongliang, Wang Xiangzhao, Nan Nan, Lu Yu. Automated Retinal Layer Segmentation Based on Optical Coherence Tomographic Images[J]. Acta Optica Sinica, 2016, 36(10): 1011003
Category:
Received: May. 17, 2016
Accepted: --
Published Online: Oct. 12, 2016
The Author Email: Qiyu He (qiyuhe@hotmail.com)