Noise-compensated homotopic non-local regularized reconstruction for rapid retinal optical coherence tomography image acquisitions

BMC Medical Imaging

Volumn 14, Issue 1, 2014, Pages

  Liu, Chenyi ^a   Wong, Alexander ^a   Fieguth, Paul ^a   Bizheva, Kostadinka ^a   Bie, Hongxia ^b  

^a UNIVERSITY OF WATERLOO   (Canada)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; COMPUTER ASSISTED DIAGNOSIS; HUMAN; OPTICAL COHERENCE TOMOGRAPHY; PROCEDURES; RADIOGRAPHY; RETINA; SIGNAL NOISE RATIO; SIGNAL PROCESSING;

ALGORITHMS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; RETINA; SIGNAL PROCESSING, COMPUTER-ASSISTED; SIGNAL-TO-NOISE RATIO; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 84924036208     PISSN: None     EISSN: 14712342     Source Type: Journal    
DOI: 10.1186/1471-2342-14-37     Document Type: Article

References (35)

1. Huang D, Swanson EA, Lin CP, Schuman JS, Stinson WG, Chang W, Hee MR, Flotte T, Gregory K, Puliafito CA, Fujimoto JG: Optical coherence tomography. Science 1991, 254(5035):1178-1181.
2. Leitgeb R, Hitzenberger C, Fercher A: Performance of fourier domain vs. time domain optical coherence tomography. Opt Express 2003, 11(8):889-894.
3. Wieser W, Biedermann BR, Klein T, Eigenwillig CM, Huber R: Multi-megahertz oct: High quality 3d imaging at 20million a-scans and 4.5 gvoxels per second. Opt Express 2010, 18(14):14685-14704.
4. Puvanathasan P, Bizheva K: Speckle noise reduction algorithm for optical coherence tomography based on interval type ii fuzzy set. Opt Express 2007, 15:15747-15758.
5. Mishra A, Wong A, Bizheva K, Clausi D: Intra-retinal layer segmentation in optical coherence tomography images. Opt Express 2009, 17(26):23719-23728.
6. Wong A, Mishra A, Bizheva K, Clausi D: General bayesian estimation for speckle noise reduction in optical coherence tomography retinal imagery. Opt Express 2010, 18(8):8338-8352.
7. Puvanathasan P, Bizheva K: Interval type-ii fuzzy anisotropic diffusion algorithm for speckle noise reduction in optical coherence tomography images. Opt Express 2009, 17(2):733-746.
8. Boroomand A, Glaister J, Wong A, Cameron A, Lui D, Bizheva K: Stochastic speckle noise compensation in optical coherence tomography using non-stationary spline-based speckle noise modelling. Biomedical Optics Express 2013, 4(9):1769-1785.
9. Izatt JA, Choma MA: Theory of optical coherence tomography. In Optical Coherence Tomography: Technology and Applications. Edited by Drexler W, Fujimoto JG. Heidelberg: Springer; 2008.
10. Choma M, Sarunic M, Yang C, Izatt J: Sensitivity advantage of swept source and fourier domain optical coherence tomography. Opt Express 2003, 11(18):2183-2189.
11. Jadwiga Rogowska MEB: Image processing techniques for noise removal, enhancement and segmentation of cartilage oct images. Phys Med Biol 2002, 47(4):641-655.
12. Scott AW, Farsiu S, Enyedi LB, Wallace DK, Toth CA: Imaging the infant retina with a hand-held spectral-domain optical coherence tomography device. J Opt Soc Am 2009, 147(2):364-373.
13. Eichel J, Lee D, Wong A, Fieguth P, Clausi D, Bizheva K: Quantitative comparison of despeckling and frame averaging approaches to processing retinal oct tomograms. In Proceedings of SPIE Photonics West (BiOS); 2011.
14. Lin A, Peng L, Tueng TS, Ruikang W: High speed spectral domain optical coherence tomography for retinal imaging at 500,000 a-lines per second. Biomed Opt Express 2011, 2(10):2770-2783.
15. Ozcan A, Bilenca A, Desjardins AE, Bouma BE, Tearney GJ: Speckle reduction in optical coherence tomography images using digital filtering. J Opt Soc Am 2007, 24(7):1901-1910.
16. Wong A, Mishra A, Fieguth P, Clausi D: An adaptive monte carlo approach to nonlinear image denoising. Proc Int Conf Pattern Recognit 2008, 33:1-4.
17. Wong A, Fieguth P, Clausi D: A perceptually adaptive approach to image denoising using anisotropic non-localmeans. Proc Int Conf Image Process 2008, 33:1-4.
18. Wong A, Mishra A, Zhang W, Fieguth P, Clausi D: Stochastic image denoising based on markov-chain monte carlo sampling. Signal Process 2011, 91(8):2112-2120.
19. Wong A: Adaptive bilateral filtering of image signals using local phase characteristics. Signal Process 2008, 88(6):1615-1619.
20. Pizurica A, Philips W, Lemahieu I, Acheroy M: A versatile wavelet domain noise filtration technique formedical imaging. IEEE Trans Med Imag 2003, 22(3):323-331.
21. Rabbani H, Vafadust M, Abolmaesumi P, Gazor S: Speckle noise reduction ofmedical ultrasound images in complex wavelet domain usingmixture priors. IEEE Trans Biomed Eng 2008, 55(9):2152-2160.
22. Zhou D, Cheng W: Image denoising with an optimal threshold and neighbouring window. Pattern Recogn Lett 2008, 29(11):1694-1697.
23. Fiddy MA, Fried NM: Denoising during optical coherence tomography of the prostate nerves via wavelet shrinkage using dual-tree complex wavelet transform. J Biomed Optics 2009, 14(1):014031.
24. Jian Z, Yu L, Rao B, Tromberg BJ, Chen Z: Three-dimensional speckle suppression in optical coherence tomography based on the curvelet transform. Opt Express 2010, 18(2):1024-1032.
25. Mayer MA, Borsdorf A, Wagner M, Hornegger J, Mardin CY, Tornow RP: Wavelet denoising of multiframe optical coherence tomography data. Biomed Opt Express 2012, 3(3):572-589.
26. Fang L, Li S, Nie Q, Izatt JA, Toth CA, Farsiu S: Sparsity based denoising of spectral domain optical coherence tomography images. Biomed Optics Express 2013, 3(5):927-942.
27. Fang L, Li S, Nie Q, Kuo AN, Izatt JA, Toth CA, Farsiu S: Fast acquisition and reconstruction of optical coherence tomography images via sparse representation. IEEE TransMed Imaging 2013, 32(11):2034-2049.
28. Liu C, Wong A, Bizheva K, Fieguth P, Bie H: Homotopic, non-local sparse reconstruction of optical coherence tomography imagery. Opt Express 2012, 20(9):10200-10211.
29. James W, Stein C: Estimation with quadratic loss. Proc Fourth Berkeley Symp Math Stat Probability 1961, 1(36):361-379.
30. Wu Y, Tracey B, Natarajan P, Noonan J: James-stein type center pixel weights for non-localmeans image denoising. IEEE Signal Process Lett 2013, 20(4):411-414.
31. Rosenbloom P: Themethod of steepest descent. Proc Symp Appl Math 1956, 6:127-176.
32. Wang X: Method of steepest descent and its applications. IEEE Microw Wireless Components Lett 2008, 12:24-26.
33. Puvanathasan P, Forbes P, Zhao R, Malchow D, Boyd S, Bizheva K: High-speed, high-resolution fourier-domain optical coherence tomography system for retinal imaging in the 1060 nm wavelength region. Opt Lett 2008, 33:2479-2481.
34. Dabov K, Foi A, Katkovnik V, Egiazarian K: Image denoising by sparse 3d transform-domain collaborative filtering. IEEE Trans Image Process 2007, 16(8):2080-2095.
35. Adler DC, Ko TH, Fujimoto JG: Speckle reduction in optical coherence tomography images by use of a spatially adaptive wavelet filter. Opt Lett 2004, 29(24):2878-2880.