Speckle Reduction in 3D Optical Coherence Tomography of Retina by A-Scan Reconstruction

IEEE Transactions on Medical Imaging

Volumn 35, Issue 10, 2016, Pages 2270-2279

  Cheng, Jun ^a   Tao, Dacheng ^b   Quan, Ying ^a   Wong, Damon Wing Kee ^a   Cheung, Gemmy Chui Ming ^c   Akiba, Masahiro ^d   Liu, Jiang ^e  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^c SINGAPORE NATIONAL EYE CENTRE   (Singapore)

^d TOPCON CORPORATION   (Japan)

^e NINGBO INSTITUTE OF MATERIALS TECHNOLOGY AND ENGINEERING   (China)

Author keywords

Matrix completion; optical coherence tomography; speckle reduction

Indexed keywords

DATA ACQUISITION; IMAGE QUALITY; IMAGE SEGMENTATION; ITERATIVE METHODS; MATRIX ALGEBRA; MEAN SQUARE ERROR; OPHTHALMOLOGY; QUALITY CONTROL; SIGNAL TO NOISE RATIO; SPECKLE; TOMOGRAPHY;

BIOLOGICAL TISSUES; CROSS-SECTIONAL IMAGING; LOW-RANK MATRIX COMPLETIONS; MATRIX COMPLETION; PEAK SIGNAL TO NOISE RATIO; RANDOM PROJECTIONS; SPECKLE REDUCTION; STRUCTURE SIMILARITY;

OPTICAL TOMOGRAPHY;

A SCAN; EXPERIMENTAL MODEL; IMAGE QUALITY; INFORMATION PROCESSING; MACHINE; OPTICAL COHERENCE TOMOGRAPHY; RETINA; SIGNAL NOISE RATIO; ALGORITHM; DIAGNOSTIC IMAGING; HUMAN; IMAGE PROCESSING; PROCEDURES;

ALGORITHMS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; RETINA; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 84991517840     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/TMI.2016.2556080     Document Type: Article

References (41)

1. D. Huang et al., "Optical coherence tomography," Science, vol. 254, no. 5035, pp. 1178-1181, 1991.
2. M. Szkulmowski et al., "Efficient reduction of speckle noise in optical coherence tomography," Opt. Exp., vol. 20, no. 2, pp. 1337-1359, 2012.
3. M. Szkulmowski and M. Wojtkowski, "Averaging techniques for oct imaging," Opt. Exp., vol. 21, no. 8, pp. 9757-9773, 2013.
4. K. M. Yung, S. L. Lee, and J. M. Schmitt, "Phase-domain processing of optical coherence tomography images," J. Biomed. Opt., vol. 4, pp. 125-136, 1999.
5. D. C. Adler, T. H. Ko, and J. G. Fujimoto, "Speckle reduction in optical coherence tomography images by use of a spatially adaptive wavelet filter," Opt. Lett., vol. 29, pp. 2878-2880, 2004.
6. D. L. Marks, T. S. Ralston, and S. A. Boppart, "Speckle reduction by i-divergence regularization in optical coherence tomography," J. Opt. Soc. Am. A, vol. 22, pp. 2366-2371, 2005.
7. M. Pircher, E. Gotzinger, R. Leitgeb, A. F. Fercher, and C. K. Hitzenberger, "Speckle reduction in optical coherence tomography by frequency compounding," J. Biomed. Opt., vol. 8, pp. 565-569, 2003.
8. A. E. Desjardins, B. J. Vakoc, G. J. Tearney, and B. E. Bouma, "Speckle reduction in OCT using massively parallel detection and frequencydomain ranging," Opt. Exp., vol. 14, pp. 4736-4745, 2006.
9. A. E. Desjardins et al., "Angle-resolved optical coherence tomography with sequential angular selectivity for speckle reduction," Opt. Exp., vol. 15, no. 10, pp. 6200-6209, 2007.
10. M. R. N. Avanaki et al., "Spatial compounding algorithm for speckle reduction of dynamic focus OCT images," IEEE Photon. Technol. Lett., vol. 25, no. 15, pp. 1439-1442, Aug. 2013.
11. O. Comyn et al., "Repeatability of spectralis OCT measurements of macular thickness and volume in diabetic macular edemaspectralis OCT repeatability in DME," Invest. Ophthalmol. Vis. Sci., vol. 53, no. 12, pp. 7754-7759, 2012.
12. E. Schneider et al., "Optical coherence tomography reveals distinct patterns of retinal damage in neuromyelitis optica and multiple sclerosis," PLoS ONE, vol. 8, no. 6, p. e66151, 2013.
13. T. Oberwahrenbrock et al., "Reliability of intra-retinal layer thickness estimates," PLoS ONE, vol. 10, no. 9, p. e0137316, 2015.
14. J. S. Lee, "Speckle analysis and smoothing of synthetic aperture radar images," Comput. Graph. Image Process., vol. 17, pp. 24-32, 1981.
15. D. T. Kuan, A. A. Sawchuk, T. C. Strand, and P. Chavel, "Adaptive noise smoothing filter for images with signal dependent noise," IEEE Trans. Pattern Anal. Mach. Intell., vol. 7, no. 2, pp. 165-177, Mar. 1985.
16. A. Lopes, R. Touzi, and E. Nesby, "Adaptive speckle filter and scene heterogeneity," IEEE Trans. Geosci. Remote Sens., vol. 28, no. 6, pp. 992-1000, Nov. 1990.
17. S. J. Lim, Two-Dimensional Signal and Image Processing. Upper Saddle River, NJ: Prentice Hall, 1990.
18. A. Hojjatoleslami and M. Avanaki, "OCT skin image enhancement through attenuation compensation," Appl. Opt., vol. 51, no. 21, pp. 4927-4935, Jul. 2012.
19. P. Perona and J. Malik, "Scale space and edge detection using anisotropic diffusion," IEEE Trans. Pattern Anal. Mach. Intell., vol. 12, no. 7, pp. 629-639, Jul. 1990.
20. Y. Yu and S. T. Acton, "Speckle reducing anisotropic diffusion," IEEE Trans. Image Process., vol. 11, no. 11, pp. 1260-1270, Nov. 2002.
21. R. Bernardes et al., "Improved adaptive complex diffusion despeckling filter," Opt. Exp., vol. 18, no. 23, pp. 24048-24059, Nov. 2010.
22. P. Rodrigues and R. Bernardes, "3-d adaptive nonlinear complexdiffusion despeckling filter," IEEE Trans. Med. Imag., vol. 31, no. 12, pp. 2205-2212, Dec. 2012.
23. M. Avanaki, P. Laissue, T. Eom, A. Podoleanu, and A. Hojjatoleslami, "Speckle reduction using an artificial neural network algorithm," Appl. Opt., vol. 52, no. 21, pp. 5050-5057, Jul. 2013.
24. A. Buades, B. Coll, and J.-M. Morel, "A non-local algorithm for image denoising," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2005, vol. 2, pp. 60-65.
25. K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "Image denoising by sparse 3-d transform-domain collaborative filtering," IEEE Trans. Image Process., vol. 16, no. 8, pp. 2080-2095, Aug. 2007.
26. M. Maggioni, V. Katkovnik, K. Egiazarian, and A. Foi, "Nonlocal transform-domain filter for volumetric data denoising and reconstruction," IEEE Trans. Image Process., vol. 22, no. 1, pp. 119-133, Jan. 2013.
27. M. Elad and M. Aharon, "Image denoising via sparse and redundant representations over learned dictionaries," IEEE Trans. Image Process., vol. 15, no. 12, pp. 3736-3745, Dec. 2006.
28. L. Fang et al., "Sparsity based denoising of spectral domain optical coherence tomography images," Biomed. Opt. Exp., vol. 3, pp. 927-942, 2012.
29. L. Fang et al., "Fast acquisition and reconstruction of optical coherence tomography images via sparse representation," IEEE Trans. Med. Imag., vol. 32, no. 11, pp. 2034-2049, Nov. 2013.
30. R. Kafieh, H. Rabbani, and I. Selesnick, "Three dimensional data-driven multi scale atomic representation of optical coherence tomography," IEEE Trans. Med. Imag., vol. 34, no. 5, pp. 1042-1062, May 2015.
31. J. Cheng, L. Duan, D. W. K. Wong, M. Akiba, and J. Liu, "Speckle reduction in optical coherence tomography by matrix completion using bilateral random projection," in Proc. Int. Conf. IEEE Eng. Med. Bio. Soc., 2014, pp. 186-189.
32. J. Cheng, L. Duan, D. W. K. Wong, D. Tao, M. Akiba, and J. Liu, "Speckle reduction in optical coherence tomography by image registration and matrix completion," in MICCAI 2014, Part I, P. Golland et al. Ed, 2014, vol. 8673, ser. LNCS, pp. 162-169.
33. A. Baghaie, R. M. D'souza, and Z. Yu, "Sparse and low rank decomposition based batch image alignment for speckle reduction of retinal oct images," in Proc. Int. Sysmp. Biomed. Imag., Apr. 2015, pp. 226-230.
34. C.-L. Chen et al., "Individual a-scan signal normalization between two spectral domain optical coherence tomography devices," Invest. Ophthalmol. Vis. Sci., vol. 54, no. 5, pp. 3463-3471, 2013.
35. S. Zhu and K. Ma, "A new diamond search algorithm for fast blockmatching motion estimation," IEEE Trans. Image Process., vol. 9, pp. 287-290, Feb. 2000.
36. E. Candès and B. Recht, "Exact matrix completion via convex optimization," Commun. ACM, vol. 55, no. 6, pp. 111-119, 2012.
37. T. Zhou and D. Tao, "Godec: Randomized low-rank & sparse matrix decomposition in noisy case," in Proc. Int. Conf. Mach. Learn., 2011, pp. 33-40.
38. A. Ozcan, A. Bilenca, A. E. Desjardins, B. E. Bouma, and G. J. Tearney, "Speckle reduction in optical coherence tomography images using digital filtering," J. Opt. Soc. Am. A, vol. 24, no. 7, pp. 1901-1910, 2007.
39. H. Rabbani, M. Sonka, and M. D. Abramoff, "Optical coherence tomography noise reduction using anisotropic local bivariate Gaussian mixture prior in 3d complex wavelet domain," J. Biomed. Imag., vol. 2013, pp. 22:22-22:22, Jan. 2013.
40. Z. Lin et al., Fast convex optimization algorithms for exact recovery of a corrupted low-rank matrixUIUC, Tech. Rep. UILU-ENG-09-2214, 2009, Technical Report, UILU-ENG-09-2214.
41. Q. Yang et al., "Automated layer segmentation of macular oct images using dual-scale gradient information," Opt. Exp., vol. 18, pp. 21293-21307, 2010.