Texture Analysis for Information Extraction and Feature Recognition in Optical Coherence Tomography Images

Liang Yanmei; Zhang Shu

doi:10.3788/lop48.011701

[1] D. Huang, E. A. Swanson, C. P. Lin et al.. Optical coherence tomography［J］. Science, 1991, 254(5035): 1178～1181

[2] A. F. Fercher, W. Drexler, C. K. Hitzenberger et al.. Optical coherence tomography-principles and applications［J］. Rep. Prog. Phys., 2003, 66(2): 239～303

[3] D. C. Fernández, H. M. Salinas, C. A. Puliafito. Automated detection of retinal layer structures on optical coherence tomography images［J］. Opt. Express, 2005, 13(25): 10200～10216

[4] T. M. Jorgensen, A. Tycho, M. Mogensen et al.. Machine-learning classification of non-melanoma skin cancers from image features obtained by optical coherence tomography［J］. Skin Res. Technol., 2008, 14(3): 364～369

[5] H. L. Kundel, C. F. Nodine, E. F. Conant et al.. Holistic Component of Image perception in mammogram interpretation: gaze-tracking study［J］. Radiology, 2007, 242(2): 396～402

[6] J. F. Cullen, J. J. Hull, P. E. Hart. Document image database retrieval and browsing using texture analysis［C］. IEEE Proceedings of the 4th International Conference on Document Analysis and Recognition, 1997, 2: 718～721

[7] A. K. Jain, Y. Zhong. Page segmentation using texture analysis［J］. Pattern Recognition, 1996, 29(5): 743～770

[8] C. Aviles-Cruz, R. Rangel-Kuoppa, M. Reyes-Ayala et al.. High-order statistical texture analysis-font recognition applied［J］. Pattern Recogn. Lett., 2005, 26(2): 135～145

[9] Li Ma, Tieniu Tan, Yunhong Wang et al.. Personal identification based on iris texture analysis［J］. IEEE Trans. Pattern Anal. Mach. Intell., 2003, 25(12): 1519～1533

[10] Huang Yaping, Luo Siwei, Chen Enyi. An iris recognition algorithm based on independent component analysis[J]. J. Computer Research and Development, 2003, 40(10): 1451～1457

[11] Lu Guangming, Yang Wen, Liao Qingmin. Iris recognition based on the analysis of local regions[J]. J. Computer Applications, 2007, 27(6): 1490～1492

[12] Gong Junhui, Hu Weiping, Lu Xiaochun. Feature extraction and recognition of iris based on biorthogonal multiwavelets[J]. J. Computer Applications, 2006, 26(10): 2375～2377

[13] C. Wu, Y. Chen, K. Hsieh. Texture features for classification of ultrasonic liver images［J］. IEEE Trans. Med. Imag., 1992, 11(2): 141～152

[14] T. Ojala, M. Pietikainen, D. Harwood. A comparative study of texture measures with classification based on feature distributions［J］. Pattern Recognition, 1996, 29(1): 51～59

[15] R. M. Haralick. Statistical and Structural Approaches to Texture［C］. Proc. IEEE, 1979, 67(5): 786～804

[16] F. Argenti, L. Alparone, G. Benelli. Fast algorithms for texture analysis using co-occurrence matrices［C］. IEE Proc. Radar and Signal, 1990, 137(6): 443～448

[17] K. W. Gossage, T. S. Tkaczyk, J. J. Rodriguez et al.. Texture analysis of optical coherence tomography images: feasibility for tissue classification［J］. J. Biomed. Opt., 2003, 8(3): 570～575

[18] X. Qi, M. V. Sivak, Jr., G. Isenberg et al.. Computer-aided diagnosis of dysplasia in Barrett′s esophagus using endoscopic optical coherence tomography［J］. J. Biomed. Opt., 2006, 11(4): 044010

[19] D. Harwood, T. Ojala, M. Pietikainen et al.. Texture classification by center-symmetric auto-correlation, using kullback discrimination of distributions［J］. Pattern Recogn. Lett., 1995, 16(1): 1～10

[20] X. Qi, D. Y. Rowland, M. V. Sivak, Jr. et al.. Computer-aided diagnosis of dysplasia in barrett′s esophagus using multiple endoscopic OCT images［C］. SPIE, 2006, 6079: 607901

[21] C. A. Lingley-Papadopoulos, M. H. Loew, J. M. Zara. Real-time bladder-layer recognition: an approach to optical biopsy［C］. 4th IEEE Int. Symp. on Biomedical Imaging: From Nano to Macro, 2007. 1276～1279

[22] C. A. Lingley-Papadopoulos, M. H. Loew, M. J. Manyak et al.. Computer recognition of cancer in the urinary bladder using optical coherence tomography and texture analysis［J］. J. Biomed. Opt., 2008, 13(2): 024003

[23] K. Fukunaga, R. R. Hayes. Estimation of classifier performance［J］. IEEE Trans. Pattern Anal. Mach. Intell., 1989, 11(10): 1087～1101

[24] R. J. Zawadzki, A. R. Fuller, D. F. Wiley et al.. Adaptation of a support vector machine algorithm for segmentation and visualization of retinal structures in volumetric optical coherence tomography data sets［J］. J. Biomed. Opt., 2007, 12(4): 041206

[25] R. J. Zawadzki, A. R. Fuller, M. Zhao et al.. 3D OCT imaging in clinical settings toward quantitative measurements of retinal structures［C］. SPIE, 2006, 6138: 613803

[26] M. Stone. Cross-validation: a review［J］. Math. Operationsforsch. Statist., Ser. Statistics, 1978, 9(1): 127～139

[27] M. Baroni, S. Diciotti, A. Evangelisti et al.. Texture classification of retinal layers in optical coherence tomography［C］. 11th Mediterranean Conf. Medical and Biological Engineering and Computing, 2007, 16: 847～850

[28] Y. Sun, M. Lei. Method for optical coherent tomography image classification using local features and earth mover′s distance［J］. J. Biomed. Opt., 2009, 14(5): 054037

[29] Y. Chen, A. D. Aguirre, P. Hsiung et al.. Effects of axial resolution improvement on optical coherence tomography (OCT) imaging of gastrointestinal tissues［J］. Opt. Express, 2008, 16(4): 2469～2485

[30] E. Gazi, J. Dwyer, P. Gardner et al.. Applications of Fourier transform infrared microspectroscopy in studies of benign prostate and prostate cancer. A pilot study［J］. J. Pathology, 2003, 201: 99～108

[31] C. A. Lingley-Papadopoulos, M. H. Loew, J. M. Zara. Wavelet analysis enables system-independent texture analysis of optical coherence tomography images［J］. J. Biomed. Opt., 2009, 14(4): 044010