Volume 12 Issue 4
Aug.  2019
Turn off MathJax
Article Contents
Chinese Optics  > 2019  >  12(4): 731-740.
CAI Huai-yu, ZHANG Wei-qian, CHEN Xiao-dong, LIU Shan-shan, HAN Xiao-yan. Image processing method for ophthalmic optical coherence tomography[J]. Chinese Optics, 2019, 12(4): 731-740. doi: 10.3788/CO.20191204.0731
Citation: CAI Huai-yu, ZHANG Wei-qian, CHEN Xiao-dong, LIU Shan-shan, HAN Xiao-yan. Image processing method for ophthalmic optical coherence tomography[J]. Chinese Optics, 2019, 12(4): 731-740. doi: 10.3788/CO.20191204.0731
shu

Image processing method for ophthalmic optical coherence tomography

  • Key Laboratory of Opto-Electronics Information Technology, Ministry of Education, School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China

Funds:

National Key R&D Program of China 2017YFC0109901

Natural Science Foundation Project of Tianjin 15JCQNJC14200

More Information
  • Corresponding author: ZHANG Wei-qian, E-mail:wqzhang330@tju.edu.cn
  • Received Date: 01 Nov 2018
  • Rev Recd Date: 28 Dec 2018
  • Publish Date: 01 Aug 2019
    Abstract
  • Optical coherence tomography(OCT) has become a hot research topic in the field of clinical medicine due to its features including micron-level high resolution, non-invasive imaging and instantaneity, which has developed rapidly and made much progress and break throughs in recent years. In this paper we briefly review the applications of OCT in ophthalmology, discuss the methods of speckle noise reduction in the spatial and frequency domains of OCT images, and summarize the precise positioning and stratification method of each layer of tissue in the OCT anterior segment and retina image. The advantages and disadvantages of the segmentation methods based on gray value search, active contour model, graph and pattern recognition algorithms are analyzed and compared. In addition, the existing problems with segmentation methods are discussed and the corresponding solutions and feasible optimization schemes are proposed. Analysis and evaluation of clinical diagnostic indicators of ophthalmic diseases are discussed. According to the needs in ophthalmology and the current status of OCT image processing, the development trends and level of OCT image processing are discussed and analyzed.

     

    • FullText(HTML)
  • loading
    • References(52)
  • [1]
    AMBROSINI P, RUIJTERS D, NIESSEN W J, et al.. Fully automatic and real-time catheter segmentation in X-ray fluoroscopy[C]. Proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, 2017: 577-585.
    [2]
    RUBIN G D, KRUPINSKI E A. Tracking eye movements during CT interpretation:inferences of reader performance and clinical competency require clinically realistic procedures for unconstrained search[J]. Radiology, 2017, 283(3):920. doi: 10.1148/radiol.2017170067
    [3]
    PHAM C H, DUCOURNAU A, FABLET R, et al.. Brain MRI super-resolution using deep 3D convolutional networks[C]. Proceedings of the 14th International Symposium on Biomedical Imaging, IEEE, 2017: 197-200.
    [4]
    PAVLIN C J, SHERAR M D, FOSTER F S. Subsurface ultrasound microscopic imaging of the intact eye[J]. Ophthalmology, 1990, 97(2):244-250. doi: 10.1016/S0161-6420(90)32598-8
    [5]
    PAPANAS N, ZIEGLER D. Corneal confocal microscopy:recent progress in the evaluation of diabetic neuropathy[J]. Journal of Diabetes Investigation, 2015, 6(4):381-389. doi: 10.1111/jdi.12335
    [6]
    CHEN Y, HERZ P R, HSIUNG P L, et al.. Ultrahigh-resolution endoscopic optical coherence tomography for gastrointestinal imaging[J]. Proceedings of SPIE, 2005, 5690:4-10. doi: 10.1117/12.592609
    [7]
    彭诚, 张芹芹, 吴晓静, 等.谱域OCT成像系统在口腔组织检测中的应用[J].光学 精密工程, 2011, 19(8):1931-1936. http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201108030

    PENG CH, ZHANG Q Q, WU X J, et al.. Application of spectral domain optical coherence tomography to oral cavity tissue test[J]. Opt. Precision Eng., 2011, 19(8):1931-1936.(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201108030
    [8]
    MEN J, HUANG Y Y, SOLANKI J, et al.. Optical coherence tomography for brain imaging and developmental biology[J]. IEEE Journal of Selected Topics in Quantum Electronics, 2016, 22(4):120-132. https://www.ncbi.nlm.nih.gov/pubmed/27721647
    [9]
    ADAMS D C, WANG Y, HARIRI L P, et al.. Advances in endoscopic optical coherence tomography catheter designs[J]. IEEE Journal of Selected Topics in Quantum Electronics, 2016, 22(3):210-221. doi: 10.1109/JSTQE.2015.2510295
    [10]
    孙正, 郑兰.定量光声层析成像的研究进展[J].发光学报, 2017, 38(9):1222-1232. http://d.old.wanfangdata.com.cn/Periodical/fgxb201709016

    SUN ZH, ZHENG L. Review on progress of quantitative photoacoustic tomography[J]. Chinese Journal of Luminescence, 2017, 38(9):1222-1232.(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/fgxb201709016
    [11]
    HUANG D, SWANSON E A, LIN C P, et al.. Optical coherence tomography[J]. Science, 1991, 254(5035):1178-1181. doi: 10.1126/science.1957169
    [12]
    PERONA P, MALIK J. Scale-space and edge detection using anisotropic diffusion[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990, 12(7):629-639. doi: 10.1109/34.56205
    [13]
    王亚强, 陈波.一种改进的各向异性扩散超声图像去噪算法[J].液晶与显示, 2015, 30(2):310-316. http://d.old.wanfangdata.com.cn/Periodical/yjyxs201502020

    WANG Y Q, CHEN B. Improved anisotropic diffusion ultrasound image denoising algorithm[J]. Chinese Journal of Liquid Crystals and Displays, 2015, 30(2):310-316.(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/yjyxs201502020
    [14]
    OZCAN A, BILENCA A, DESJARDINS A E, et al.. Speckle reduction in optical coherence tomography images using digital filtering[J]. Journal of the Optical Society of America A, 2007, 24(7):1901-1910. doi: 10.1364/JOSAA.24.001901
    [15]
    FERNÁNDEZ D C. Delineating fluid-filled region boundaries in optical coherence tomography images of the retina[J]. IEEE Transactions on Medical Imaging, 2005, 24(8):929-945. doi: 10.1109/TMI.2005.848655
    [16]
    孙延奎.光学相干层析医学图像处理及其应用[J].光学 精密工程, 2014, 22(4):1086-1104. http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201404037

    SUN Y K. Medical image processing techniques based on optical coherence tomography and their applications[J]. Opt. Precision Eng., 2014, 22(4):1086-1104.(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201404037
    [17]
    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. doi: 10.1364/OE.17.015659
    [18]
    王立科, 张佳莹, 田磊, 等.基于光学相干层析气冲印压技术研究角膜生物力学特性[J].光学 精密工程, 2015, 23(2):325-333. http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201502002

    WANG L K, ZHANG J Y, TIAN L, et al.. OCT based air jet indentation for corneal biomechanical assessment[J]. Opt. Precision Eng., 2015, 23(2):325-333.(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201502002
    [19]
    IZATT J A, HEE M R, SWANSON E A, et al.. Micrometer-scale resolution imaging of the anterior eye in vivo with optical coherence tomography[J]. Archives of Ophthalmology, 1994, 112(12):1584-1589. doi: 10.1001/archopht.1994.01090240090031
    [20]
    HEE M R, IZATT J A, SWANSON E A, et al.. Optical coherence tomography of the human retina[J]. Archives of Ophthalmology, 1995, 113(3):325-332. doi: 10.1001/archopht.1995.01100030081025
    [21]
    SCHUMAN J S, PEDUT-KLOIZMAN T, HERTZMARK E, et al.. Reproducibility of nerve fiber layer thickness measurements using optical coherence tomography[J]. Ophthalmology, 1996, 103(11):1889-1898. doi: 10.1016/S0161-6420(96)30410-7
    [22]
    STAURENGHI G, SADDA S, CHAKRAVARTHY U, et al.. Proposed lexicon for an atomic landmarks in normal posterior segment spectral-domain optical coherence tomography:The IN OCT consensus[J]. Ophthalmology, 2014, 121(8):1572-1578. doi: 10.1016/j.ophtha.2014.02.023
    [23]
    AREVALO J F. Retinal Angiography and Optical Coherence Tomography[M]. New York:Springer, 2009:239-251.
    [24]
    SCHMITT J M, XIANG S H, YUNG K M. Speckle in optical coherence tomography[J]. Journal of Biomedical Optics, 1999, 4(1):95-105. doi: 10.1117/1.429925
    [25]
    高用贺, 李跃杰, 王立伟, 等.光学相干层析成像的视网膜层状结构自动分割[J].中国医疗器械杂志, 2014, 38(2):94-97, 101. doi: 10.3969/j.issn.1671-7104.2014.02.004

    GAO Y H, LI Y J, WANG L W, et al.. Automated segmentation of retina layer structures on optical coherence tomography[J]. Chinese Journal of Medical Instrumentation, 2014, 38(2):94-97, 101.(in Chinese) doi: 10.3969/j.issn.1671-7104.2014.02.004
    [26]
    ISHIKAWA H, STEIN D M, WOLLSTEIN G, et al.. Macular segmentation with optical coherence tomography[J]. Investigative Ophthalmology and Visual Science, 2005, 46(6):2012-2017. doi: 10.1167/iovs.04-0335
    [27]
    GILBOA G, SOCHEN N, ZEEVI Y Y. Image enhancement and denoising by complex diffusion processes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(8):1020-1036. doi: 10.1109/TPAMI.2004.47
    [28]
    王健博, 杨航, 吴笑天.结合图像分割的改进导引滤波[J].液晶与显示, 2017, 32(5):380-386. http://d.old.wanfangdata.com.cn/Periodical/yjyxs201705009

    WANG J B, YANG H, WU X T. Segmentation based improved guided filter[J]. Chinese Journal of Liquid Crystals and Displays, 2017, 32(5):380-386.(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/yjyxs201705009
    [29]
    CHITCHIAN S, FIDDY M A, FRIED N M. Denoising during optical coherence tomography of the prostate nerves via wavelet shrinkage using dual-tree complex wavelet transform[J]. Journal of Biomedical Optics, 2009, 14(1):014031. doi: 10.1117/1.3081543
    [30]
    舒鹏, 孙延奎, 田小林.采用双树复小波和混合概率模型的光学相干层析图像去噪[J].应用科学学报, 2011, 29(5):467-472. doi: 10.3969/j.issn.0255-8297.2011.05.005

    SHU P, SUN, Y K, TIAN X L. Denoising of optical coherence tomography image using dual-tree complex wavelet transform and mixed probability model[J]. Journal of Applied Sciences, 29(5):467-472.(in Chinese) doi: 10.3969/j.issn.0255-8297.2011.05.005
    [31]
    YUNG K M, LEE S L, SCHMITT J M. Phase-domain processing of optical coherence tomography images[J]. Journal of Biomedical Optics, 1999, 4(1):125-136. doi: 10.1117/1.429942
    [32]
    PIRCHER M, GOTZINGER E, LEITGEB R, et al.. Speckle reduction in optical coherence tomography by frequency compounding[J]. Journal of Biomedical Optics, 2003, 8(3):565-569. doi: 10.1117/1.1578087
    [33]
    PIRCHER M, GOTZINGER E, LEITGEB R, et al.. Measurement and imaging of water concentration in human cornea with differential absorption optical coherence tomography[J]. Optics Express, 2003, 11(18):2190-2197. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=Open J-Gate000001472050
    [34]
    LIN L F, JU Y. Automatic extraction of the anterior chamber contour in OCT images[C]. Proceedings of the 2nd International Symposium on Information Science and Engineering, IEEE, 2009.
    [35]
    EICHEL J A, MISHRA A K, FIEGUTH P, et al.. A novel algorithm for extraction of the layers of the cornea[C]. Proceedings of the 2009 Canadian Conference on Computer and Robot Vision, IEEE, 2009: 313-320.
    [36]
    LAROCCA F, CHIU S J, MCNABB R P, et al.. Robust automatic segmentation of corneal layer boundaries in SDOCT images using graph theory and dynamic programming[J]. Biomedical Optics Express, 2011, 2(6):1524-1538. doi: 10.1364/BOE.2.001524
    [37]
    贺琪欲, 李中梁, 王向朝, 等.基于光学相干层析成像的视网膜图像自动分层方法[J].光学学报, 2016, 36(10):1011003. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gxxb201610009

    HE Q Y, LI ZH L, WANG X CH, et al.. Automated retinal layer segmentation based on optical coherence tomographic images[J]. Acta Optical Sinica, 2016, 36(10):1011003.(in Chinese) http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gxxb201610009
    [38]
    KOOZEKANANI D, BOYER K L, ROBERTS C. Tracking the optic nervehead in OCT video using dual eigenspaces and an adaptive vascular distribution model[J]. IEEE Transactions on Medical Imaging, 2003, 22(12):1519-1536. doi: 10.1109/TMI.2003.817753
    [39]
    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. doi: 10.1364/OPEX.13.010200
    [40]
    KASS M, WITKIN A, TERZOPOULOS D. Snakes:active contour models[J]. International Journal of Computer Vision, 1988, 1(4):321-331. doi: 10.1007/BF00133570
    [41]
    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. doi: 10.1364/OPEX.13.009480
    [42]
    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. doi: 10.1364/OE.17.023719
    [43]
    GHORBEL I, ROSSANT F, BLOCH I, et al.. Automated segmentation of macular layers in OCT images and quantitative evaluation of performances[J]. Pattern Recognition, 2011, 44(8):1590-1603. doi: 10.1016/j.patcog.2011.01.012
    [44]
    GARVIN M K, ABRÁMOFF M D, WU X D, 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. doi: 10.1109/TMI.2009.2016958
    [45]
    YANG Q, REISMAN C A, WANG ZH G, et al.. Automated layer segmentation of macular OCT images using dual-scale gradient information[J]. Optics Express, 2010, 18(20):21293-21307. doi: 10.1364/OE.18.021293
    [46]
    DUAN J M, TENCH C, GOTTLOB I, et al.. Automated segmentation of retinal layers from optical coherence tomography images using geodesic distance[J]. Pattern Recognition, 2017, 72:158-175. doi: 10.1016/j.patcog.2017.07.004
    [47]
    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. doi: 10.1109/TVCG.2007.70590
    [48]
    SZKULMOWSKI M, WOJTKOWSKI M, SIKORSKI B, et al.. Analysis of posterior retinal layers in spectral optical coherence tomography images of the normal retina and retinal pathologies[J]. Journal of Biomedical Optics, 2007, 12(4):041207. doi: 10.1117/1.2771569
    [49]
    LANG A, CARASS A, HAUSER M, et al.. Retinal layer segmentation of macular OCT images using boundary classification[J]. Biomedical Optics Express, 2013, 4(7):1133-1152. doi: 10.1364/BOE.4.001133
    [50]
    YU K, SHI F, GAO E T, et al.. Shared-hole graph search with adaptive constraints for 3D optic nerve head optical coherence tomography image segmentation[J]. Biomedical Optics Express, 2018, 9(3):962-983. doi: 10.1364/BOE.9.000962
    [51]
    SYC S B, WARNER C V, SAIDHA S, et al.. Cup to disc ratio by optical coherence tomography is abnormal in multiple sclerosis[J]. Journal of the Neurological Sciences, 2011, 302(1-2):19-24. doi: 10.1016/j.jns.2010.12.011
    [52]
    肖志涛, 娄世良, 吴骏, 等.立体成像眼底相机光学系统设计[J].光学 精密工程, 2018, 26(5):1054-1060. http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201805006

    XIAO ZH T, LOU SH L, WU J, et al.. Design of optical system for stereo imaging fundus camera[J]. Opt. Precision Eng., 2018, 26(5):1054-1060.(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201805006
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(8)  / Tables(2)

    Get Citation
    PDF
    XML
    Article views(4665) PDF downloads(183) Cited by()
    Proportional views
    Related

    Copyright© 2012 Editorial Office of Chinese Optics    吉ICP备11002662号

    Address: No. 3888 Southeast Lake Road, Changchun City, Jilin ProvinceTel: 投稿问题：0431-84627061（李老师）；财务问题：0431-86176852（王老师）；邮寄及发行：0431-86176862（张老师）

    Email: chineseoptics@ciomp.ac.cnChina Pos: 130033

    Supported by: Beijing Renhe Information Technology Co. Ltd  support: info@rhhz.net

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return