[1] HUANG D, SWANSON E A, LIN C P, et al.. Optical coherence tomography ［J］. Science, 1991, 254 (5035): 1178-1181.

[2] ZYSK A M , BOPPART S A. Optical Coherence Tomography［M］. 2nd edition,Berlin Heidelberg: Springer series in Optical Sciences,2007,87: 401-436.

[3] 王志斌 , 史国华 , 何益, 等. 光学相干层析技术在光学表面间距测量中的应用［J］. 光学精密工程, 2012, 20(7): 1469-1474.

    WANG ZH B, SHI G H, HE Y, et al.. Application of optical coherence tomography to distance measurement of optical surface［J］. Opt. Precision Eng., 2012, 20(7): 1469-1474. (in Chinese)

[4] 张芹芹 , 吴晓静 , 朱思伟, 等. 谱域光学相干层析成像量化技术及其在生物组织定量分析中的应用［J］. 光学精密工程, 2012, 20(6): 1188-1193.

    ZHANG Q Q, WU X J, ZHU S W, et al.. Quantitative spectral domain optical coherence tomography and its application to quantitative analysis of biological tissues ［J］. Opt. Precision Eng., 2012, 20(6): 1188-1193. (in Chinese)

[5] DREXLER W G, FUJIMOTO J G. State-of-the-art retinal optical coherence tomography［J］. Progress in Retinal and Eye Research, 2008, 27(1): 45-88.

[6] MELISSA J S, GUILLERMO J T, WANG Y O, et al.. Progress in Intracoronary optical coherence tomography ［J］. IEEE Journal of Selected Topics in Quantum Electronics, 2010, 12(4): 706-714.

[7] SELESNICK I W, BARANIUK R G, KINGSBURY N C. The dual-tree complex wavelet transform ［J］. IEEE Signal Processing Magazine, 2005, 22(6): 123-151.

[8] CHITCHIAN S, FIDDY M, FRIED N. 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): 181-186.

[9] FOROUZANFAR M, MOGHADDAM H A. A directional multiscale approach for speckle reduction in optical coherence tomography images ［C］. IEEE International Conference on Electrical Engineering, Lahore, Pakistan, 2007: 1-6.

[10] 邓菊香, 梁艳梅. 光学相干层析图像的小波降噪方法研究［J］. 光学学报, 2009, 29(8): 2138-2141.

    DENG J X, LIANG Y M. Noise reduction with wavelet transform in optical coherence tomographic images ［J］. Acta Optica Sinica, 2009, 29(8): 2138-2141. (in Chinese)

[11] 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降噪［J］. 应用科学学报, 2011, 29(5),647-672.

    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, 2011,29(5): 647-672. (in Chinese)

[12] JIAN Z, YU Z, YU L, et al.. Speckle attenuation by curvelet shrinkage in optical coherence tomography ［J］. Optics Letters, 2009, 34(10): 1516-1518.

[13] JIAN Z P, YU L F, RAO B, et al.. Three-dimensional speckle suppression in optical coherence tomography based on the curvelet transform［J］. Optics Express, 2010, 18(2), 1024-1032.

[14] 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.

[15] GILBOA G, SOCHEN N, ZEEVI Y Y. Image enhancement and denoising by complex diffusion processes ［J］. IEEE Transactions on Pattern Analasis, 2004, 26(8): 1020-1036.

[16] SALINAS H M, FERNNDEZ D C.Comparison of PDE-based nonlinear diffusion approaches for image enhancement and denoising in optical coherence tomography［J］. IEEE Transactions on Medical Imaging, 2007, 26(6): 761-771.

[17] FERNNDEZ 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 ): 200 -216.

[18] GARVIN M K, ABRMOFF M D, KARDON R, et al.. Intraretinal layer segmentation of macular optical coherence tomography images using optimal 3-D graph search ［J］. IEEE Transactions on Medical Imaging, 2008, 10(10): 1495-1505.

[19] GARVIN M K, ABRMOFF 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.

[20] PUVANATHASAN P, BIZHEVA K. Interval type-II fuzzy anisotropic diffusion algorithm for speckle noise reduction in optical coherence tomography images ［J］. Optics Express, 2009, 17(2): 733-746.

[21] SHIH A C C, LIAO H Y M, LU C S. A new iterated two-band diffusion equation: theory and its applications［J］. IEEE Transactions on Image Processing, 2003, 12(4): 466-676.

[22] YUE Y, CROITORU M M, BIDANI A, et al.. Nonlinear multiscale wavelet diffusion for speckle suppression and edge enhancement in ultrasound images ［J］. IEEE Transactions on Medical Imaging, 2006, 25: 297-311.

[23] RAJPOOT K, RAJPOOT N, NOBLE J A. Discrete wavelet diffusion for image denoising ［J］. LNCS, 2008, 5099: 20-28.

[24] MAYER M A, BORSDORF A, WAGNER M, et al.. Wavelet denoising of multiframe optical coherence tomography data ［J］. Biomed. Opt. Express, 2012, 3(3), 572-589.

[25] LIU X, KANG J U. Compressive SD-OCT: the application of compressed sensing in spectral domain optical coherence tomography ［J］. Opt. Express, 2010, 18(21): 22010-22019.

[26] LEBED E, MACKENZIE P J, SARUNIC M V, et al.. Rapid volumetric OCT image acquisition using compressive sampling［J］. Opt. Express, 2010, 18(20): 21003-21012.

[27] YOUNG M, LEBED E, JIAN Y, et al.. Real-time high-speed volumetric imaging using compressive sampling optical coherence tomography［J］. Biomed. Opt. Express, 2011, 2(9): 2690-2697.

[28] FANG L Y, LI S T, NIE Q, et al.. Sparsity based denoising of spectral domain optical coherence tomography images［J］. Biomed. Opt. Express, 2012, 3(5): 929-942.

[29] 张田, 孙延奎, 田小林. 二进小波与扩散滤波结合的光学相干层析图像降噪［J］. 吉林大学学报: 工学版,2013,43(增刊): 340-344.

    ZHANG T, SUN Y K, TIAN X L. Optical coherence tomography image denoising method by merging dyadic wavelet and anisotropic diffusion filter［J］. Journal of Jilin University: Engineering and Technology Edition, 2013, 43(Sup.): 340-344. (in Chinese)

[30] SUN Y K, LEI M. Method for optical coherence tomography image classification using local features and Earth Mover's Distance ［J］. Journal of Biomedical Optics, 2009,14(5),054037.

[31] DAS A, SIVAK M V, CHAK A, et al.. Role of high resolution endoscopic imaging using optical coherence tomography in patients with Barrett’s esophagus ［J］. Gastrointestinal Endoscopy, 2000, 51(4): AB93.

[32] TEARNEY G J, BREZINSKI M E, SOUTHERN J F, et al.. Optical biopsy in human gastrointestinal tissue using optical coherence tomography ［J］. Am. J. Gastroenterol., 1997, 92(10): 1800-1804.

[33] GOSSAGE K W, TKACZYK T S, RODRIGUEZ J J, et al.. Texture analysis of optical coherence tomography images: feasibility for tissue classification ［J］. Journal of Biomedical Optics , 2003, 8(3): 570-575.

[34] QI X, SIOVAK M V, ISENBERG G, et al.. Computer-aided diagnosis of dysplasia in Barrett’s esophagus using endoscopic optical coherence tomography ［J］. J. Biomed. Opt., 2006,11(4): 044010.

[35] QI X, ROWLAND D Y, SIVAK M V, et al.. Computer-aided diagnosis of dysplasia in Barrett’s esophagus using multiple endoscopic OCT images［J］. Proc. of SPIE, 2006,6079: 60790I.

[36] QI X, PAN Y S, HU Z L, et al.. Automated quantification of colonic crypt morphology using integrated microscopy and optical coherence tomography ［J］. Journal of Biomedical Optics, 2008, 13(5): 054055.

[37] LINGLEY-PAPADOPOULOS C A, LOEW M H, MANYAK M J, et al.. Computer recognition of cancer in the urinary bladder using optical coherence tomography and texture analysis ［J］. Journal of Biomedical Optics, 2008,13(2): 024003.

[38] JORGENSEN T M, TYCHO A, MOGENSEN M, et al.. Machine-learning classification of non-melanoma skin cancers from image features obtained by optical coherence tomography［J］. Skin Research & Technology, 2008,14(3): 364-369.

[39] FLORIAN B H, NICHOLAS S. Near real-time classification of optical coherence tomography data using principal components fed linear discriminant analysis ［J］. Journal of Biomedical Optics, 2008, 13(3): 034002.

[40] GIOVANNI J U, KRISTIN S, TOM A, et al.. Automatic characterization of neointimal tissue by intravascular optical coherence tomography［J］. Journal of Biomedical Optics, 2014, 19(2): 021104.

[41] ZYSK A M, BOPPART S A. Computational methods for analysis of human breast tumor tissue in optical coherence tomography images ［J］. Journal of Biomedical Optics, 2006,11(5): 054015.

[42] POPESCU D P, SOWA M G, HEWKO M D. Assessment of early demineralization in teeth using the signal attenuation in optical coherence tomography images ［J］. Journal of Biomedical Optics, 2008, 13(5): 054053.

[43] SUN Y K, XUE C K. Automated diagnosing of nevus flammeus using OCT raw signal ［C］. Tianjin, P. R. China, Proceedings of 2010 International Conference on Computer and Information Application, 2010: 543-546.

[44] SULLIVAN A C, HUNT J P, OLDENBURG A L. Fractal analysis for classification of breast carcinoma in optical coherence tomography ［J］. Journal of Biomedical Optics, 2011, 16(6): 066010.

[45] WANG S, LIU C H, ZAKHAROV V P, et al.. Three-dimensional computational analysis of optical coherence tomography images for the detection of soft tissue sarcomas ［J］. Journal of Biomedical Optics, 2014, 19(2): 021102.

[46] KOOZEKANANI D, BOYER K, ROBERTS C. Retinal thickness measurements from optical coherence tomography using a Markov boundary model ［J］. IEEE Transactions on Medical Imaging, 2001, 20(9): 900-916.

[47] MUJAT M, CHAN R C, CENSE B, et al.. Retinal nerve fiber layer thickness map determined from optical coherence tomography images［J］. Opt. Express, 2005,13(23): 9480-9491.

[48] ISHIKAWA H, STEIN D M, WOLLSTEIN G, et al.. Macular segmentation with optical coherence tomography, investigative ophthalmol［J］. Visual Scie., 2005, 46: 2012-2017.

[49] BARONI M, FORTUNATO P, TORRE A L. Towards quantitative analysis of retinal features in optical coherence tomography［J］. Medical Engineering and Physics, 2007, 29(4): 432-441.

[50] BARONI M, DICIOTTI S, EVANGELISTI A, et al.. Texture classification of retinal layers in optical coherence tomography ［C］. Jam J, Kramar P, Zupanic A (Eds): Medicon 2007, IFMBE Proceedings 16, 2007: 847-850.

[51] LU Z Q, LIAO Q M, YANG F. A variational approach to automatic segmentation of RNFL on OCT data sets of the retina［C］. IEEE International Conference on Image Processing, ICIP, Cairo, Egypt, 2009: 3345-3348.

[52] 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］. Opt. Express, 2010, 18(18): 19413-19428.

[53] YANG Q, REISMAN C A, WANG Z G, et al.. Automated layer segmentation of macular OCT images using dual-scale gradient information ［J］. Optics Express, 2010, 18(20): 21293-21307.

[54] 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.

[55] ZAWADZKI R J, FVLLER A R, CHOI S, et al.. Segmentation of three-dimensional retinal image data ［J］. IEEE Transactions on Visualization and Computer Graphics, 2007, 13( 6): 1719-1726.

[56] ZAWADZKI R J, FULLER A R, WILEY D F, et al.. Adaptation of a support vector machine algorithm for segmentation and visualization of retinal structures in volumetric optical coherence tomography data sets ［J］. Journal of Biomedical Optics, 2007,12(4): 041206.

[57] FABRITIUS T, MAKITA S, MIURA M, et al.. Automated segmentation of the macula by optical coherence tomography［J］. Optics Express, 2009, 17(18): 15659.

[58] DATTA R, ADITYA S, TIBREWALA D N. Advancement in OCT and image-processing techniques for automated ophthalmic diagnosis［C］. Proceedings of the 2010 IEEE Students’ Technology Symposium, Kharagpur, India, 2010: 26-33.

[59] KAJIC V, POVAZAY B, HERMANN B, et al.. Robust segmentation of intraretinal layers in the normal human fovea using a novel statistical model based on texture and shape analysis［J］. Optics Express, 2010,18(14): 14644-14653.

[60] SUN Y K, ZHANG T. A 3D segmentation method for retinal optical coherence tomography volume data ［OL］.(2013-08-06) http: //arxiv.org/abs/1204.6385.

[61] 樊鲁杰, 孙延奎, 张田, 等. 光学相干层析视网膜体数据的3维分割［J］.中国图象图形学报, 2013, 18(3): 330-335.

    FAN L J, SUN Y K,ZHANG T, et al.. Three dimensional segmentation to detect retinal boundary surfaces from OCT volume data ［J］. Journal of Image and Graphics, 2013,18(3): 330-335. (in Chinese)

[62] LI K, WU X, CHEN D Z, et al.. Optimal surface segmentation in volumetric images—A graph-theoretic approach［J］. IEEE Trans. Pattern Anal. Machine Intell., 2006, 28(1): 119-134.

[63] CHEN X J, NIEMEIJER M, ZHANG L, et al.. Three-dimensional segmentation of fluid-associated abnormalities in retinal OCT: probability constrained graph-search- graph- cut ［J］. IEEE Tran. on Medical Imaging, 2012, 31(8): 1521-1531.

[64] WILKINS G R, HOUHTON O M, OLDENBURG A L. Automated segmentation of intraretinal cystoid fluid in optical coherence tomography［J］. IEEE Transactions on Biomedical Engineering, 2012, 59(4): 1109-1114.

[65] CHIU S J, TOTH C A, RICKMAN C B, et al.. Automatic segmentation of closed-contour features in ophthalmic images using graph theory and dynamic programming［J］. Biomedical Optics Express, 2012, 3(5): 1127-1140.

[66] MATHEW P T, DAVID S, THOMAS N. Endothelial cell loss and central corneal thickness in patients with and without diabetes after manual small incision cataract surgery ［J］. Cornea, 2011,30(4): 424-428.

[67] WANG N, WANG B, ZHAI G, et al.. A method of measuring anterior chamber volume using the anterior segment optical coherence tomographer and specialized software［J］. Am J Ophthalmol, 2007, 143(5): 879-881.

[68] DORAIRAJ S, LIEBMANN J M, RITCH R. Quantitative evaluation of anterior segment parameters in the era of imaging ［J］. Trans Am Ophthalmol Soc, 2007, 105: 99-110.

[69] GRAGLIA F, MARI J L, BAIKOFF G,et al.. Cornea contour extraction from OCT radial images［C］.29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society,Lyon,Frence,Fuerstner L, 2007: 5612-5615.

[70] CORON A, SILVERMAN R H, SAIED A, et al.. Automatic segmentation of the anterior chamber in in-vivo high-frequency ultrasound images of the eye［C］. IEEE Proceedings of Ultrasonics Symposium, New York, 2007: 1266-1269.

[71] LIN L F, JU Y. Automatic extraction of the anterior chamber contour in OCT images［C］. Proceedings of the Second International Symposium on Information Science and Engineering, Shanghai, P.R. China, 2009: 423-426.

[72] LEUNG C K, LI H T, WEINREB R N, et al.. Anterior chamber angle measurement with anterior segment Optical Coherence Tomography (OCT)—A comparison between Slit Lamp OCT and Visante OCT［J］. Investigative Ophthalmology & Visual Science, 2008, 49(8): 3469-3474.

[73] EICHEL J A, MISHRA A K, CLAUSI D A, 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, Kelowna, BC, Canada, 2009: 313-320.

[74] SHEN M X, CUI L L, LI M, et al.. Extended scan depth optical coherence tomography for evaluating ocular surface shape ［J］. Journal of Biomedical Optics, 2011, 16(5), 056007.

[75] TIAN J, MARZILIANO P, BASKARAN M, et al.. Automatic anterior chamber angle assessment for HDOCT images ［J］. IEEE Trans. Biomed. Eng., 2011, 58(11): 3242-3249.

[76] 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］. Biomed. Opt. Express, 2011, 2(6): 1524-1538.

[77] 舒鹏, 孙延奎, 田小林. 眼前节光学相干层析图像中央角膜厚度自动测量［J］. 应用科学学报, 2012,30(6): 619-623.

    SHU P, SUN Y K,TIAN X L. Automatic measurement of central cornea thickness of eye anterior segment optical coherence tomography image ［J］. Journal of Applied Sciences, 2012,30(6): 619-623. (in Chinese)

[78] SHU P, SUN Y K. Automated extraction of the inner contour of the anterior chamber using optical coherence tomography images ［J］. Journal of Innovative Optical Health Sciences, 2012, 5(4): 1250030.

[79] WILLIAMS D, ZHENG Y L, BAO F J, et al.. Automatic segmentation of anterior segment optical coherence tomography images ［J］. Journal of Biomedical Optics , 2013,18(5), 056003.

[80] KUME T, AKASAKA T, KAWAMOTO T, et al.. Assessment of coronary intima-media thickness by optical coherence tomography: Comparison with intravascular ultrasound［J］. Circulation Journal, 2005, 69(8): 903-907.

[81] BONNEMA G T, CARDINAL K O, MCNALLY J B, et al.. Assessment of blood vessel mimics with optical coherence tomography［J］. J. Biomed. Opt, 2007, 12(2): 024018.

[82] TANIMOTO S, RODRIGUEZ-GRANILLO G, BA-RLIS P, et al.. A novel approach for quantitative analysis of intracoronary optical coherence tomography: High inter-observer agreement with computerassisted contour detection［J］. Catheter Cardiovasc. Interv., 2008, 72(2): 228-235.

[83] KENJI S, CHARL B, FRITS P,et al.. Fully automatic three-dimensional quantitative analysis of intracoronary optical coherence tomography: method and validation［J］. Catheterization and Cardiovascular Interventions, 2009, 74(7): 1058-1065.

[84] TUNG K P, SHI W Z, SILVA R D, et al.. Automatical vessel wall detection in intravascular coronary OCT［C］. IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Chicago, IL, United states, 2011: 610- 613.

[85] SERHAN G, GOZDE G I, STPHANE C , et al.. A new 3-D automated computational method to evaluate in stent neointimal hyperplasia in in-vivo intravascular optical coherence tomography pullbacks ［J］. Lecture Notes in Computer Science, 2009, 12(2): 776-785.

[86] KAUFFMANN C, MOTREFF P, SARRY L. In vivo supervised analysis of stent reendothelialization from optical coherence tomography ［J］. IEEE Transactions on Medical Imaging, 2010, 29(3): 807-818.

[87] 舒鹏, 孙延奎, 宋现涛. 由冠脉OCT图像自动提取血管壁内轮廓［J］. 光学精密工程, 2013, 21(9): 185-191.

    SHU P, SUN Y K, SONG X T. Automatic detecting the inner contour of a vessel wall from intracoronary optical coherence tomography image［J］. Opt. Precision Eng., 2013, 21(9): 185-191. (in Chinese)

[88] UGHI G J , ADRIAENSSENS T, ONSEA K, et al.. Automatic segmentation of in-vivo intra-coronary optical coherence tomography images to assess stent strut apposition and coverage ［J］. Int J Cardiovasc Imaging, 2012, 28(2): 229-241.

[89] UGHI G J, ADRIAENSSENS T, LARSSON M, et al.. Automatic three-dimensional registration of intravascular optical coherence tomography images［J］. Journal of Biomedical Optics, 2012, 17(2): 026005.

[90] SIHAN K, BOTHA C, WINTER S, et al.. A novel approach to quantitative analysis of intravascular optical coherence tomography imaging［J］. Computers in Cardiology, 2008, 35: 1089-1092.

[91] ELLWEIN L M, OTAKE H, GUNDERT T J, et al.. Optical coherence tomography for patient-specific 3D artery reconstruction and evaluation of wall shear stress in a left circumflex coronary artery［J］. Cardiovascular Engineering and Technology, 2011, 2(3): 212-227. DOI: 10.1007/s13239-011-0047-5.

[92] CHITCHIAN S, WELDON T,FRIED N. Segmentation of optical coherence tomography images for differentiation of the cavernous nerves from the prostate gland［J］. J. Biomed. Opt., 2009, 14(4), 0440331.

[93] CHITCHIAN S, VINCENT K L, VARGAS G. Automated segmentation algorithm for detection of changes in vaginal epithelial morphology using optical coherence tomography［J］. Journal of Biomedical Optics, 2012, 17(11): 116004.

[94] DEBOER J F, SRINIWAS S, MALEKAFZALI A, et al.. Imaging thermally damaged tissue by polarization sensitive optical coherence tomography［J］. Optics Express,1998, 3(6): 212-218.

[95] HITZENBERGER C K, GTZINGER E, STICKER M, et al.. Measurement and imaging of birefringence and optic axis orientation by phase resolved polarization sensitive optical coherence tomography ［J］. Optics Express, 2001, 9(13): 780-790.

[96] 阳利锋, 曾楠, 陈东胜.偏振敏感光学相干层析对鸡肉组织两种变质过程的表征［J］. 中国激光, 2011, 38(12): 1204002.

    YANG L F, ZENG N, CHEN D SH. Characterization of dehydration and protelysis process of chicken muscle using polarization-sensitive optical coherence tomography ［J］. Chinese Journal of Lasers, 2011, 38(12): 1204002. (in Chinese)

[97] EVERETT M J, SCHOENENBERGER K, COLSTON JR B W, et al.. Birefringence characterization of biological tissue by use of optical coherence tomography［J］. Optics Letters, 1998, 23(3): 228-230.

[98] YAO G, WANG L V. Two-dimensional depth-resolved Mueller matrix characterization of biological tissue by optical coherence tomography［J］. Optics Letters, 1999, 24(8): 537-539.

[99] LIU X, TSENG S C, TRIPATHI R, et al.. White light interferometric detection of unpolarized light for complete stokesmetric optical coherence tomography［J］. Optics Communications, 2011, 284: 3497-3503.

[100] LE M H, DARLING C L, FRIED D. Automated analysis of lesion depth and integrated reflectivity in PS-OCT scans of tooth demineralization［J］. Lasers in Surgery and Medicine,2010, 42: 62-68.

[101] ISLAM M S, OLIVEIRA M C, WANG Y, et al.. Extracting structural features of rat sciatic nerve using polarization-sensitive spectral domain optical coherence tomography ［J］. Journal of Biomedical Optics, 2012, 17(5): 056012.