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Journal of Optical Technology

Journal of Optical Technology


  • Vol. 75, Iss. 10 — Oct. 1, 2008
  • pp: 682–686

Dynamic analysis of the signals in optical coherent tomography by the method of nonlinear Kalman filtering

M. A. Volynskiĭ, I. P. Gurov, and A. S. Zakharov  »View Author Affiliations

Journal of Optical Technology, Vol. 75, Issue 10, pp. 682-686 (2008)

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This paper discusses stochastic models of inhomogeneous media and a method of nonlinear Kalman filtering that provides increased resolving power when processing actual low-coherence interference signals obtained in systems of optical coherent tomography. A method is proposed for the dynamic estimation of the positions of the local maxima of the signal envelope while scanning over the depth of the sample, making it possible to increase the resolution of the maxima of partially overlapping peaks by comparison with the classical criteria. The model results are presented along with experimental results obtained when studying a test sample of biological tissue.

© 2008 Optical Society of America

M. A. Volynskiĭ, I. P. Gurov, and A. S. Zakharov, "Dynamic analysis of the signals in optical coherent tomography by the method of nonlinear Kalman filtering," J. Opt. Technol. 75, 682-686 (2008)

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  1. A. F. Fercher, W. Drexler, C. K. Hitzenberger, and T. Lasser, “Optical coherence tomography--principles and applications,” Rep. Prog. Phys. 66, 239 (2003). [CrossRef]
  2. P. H. Tomlins and R. K. Wang, “Theory, developments and applications of optical coherence tomography,” J. Phys. D: Appl. Phys. 38, 2519 (2005). [CrossRef]
  3. I. P. Gurov, “Optical coherent tomography: Principles, problems, and prospects,” in Problems of Coherent and Nonlinear Optics, ed. I.P.Gurov and S.A.Kozlov (SPbGU ITMO, St. Petersburg, 2004), pp. 6-30.
  4. T. Dresel, G. Hausler, and H. Ventzke, “Three-dimensional sensing of rough surfaces by coherence radar,” Appl. Opt. 31, 919 (1992).
  5. R. E. Kalman, “A new approach to linear filtering and prediction problems,” Trans. ASME 82, 35 (1960).
  6. I. Gurov, E. Ermolaeva, and A. Zakharov, “Analysis of low-coherence interference fringes by the Kalman filtering method,” J. Opt. Soc. Am. A 21, 242 (2004). [CrossRef]
  7. I. Gurov, M. Volynsky, and A. Zakharov, “Evaluation of multilayer tissue in optical coherence tomography by the extended Kalman filtering method,” Proc. SPIE 6734, 67341 (2007).
  8. E. Alarousu, I. Gurov, J. Hast, R. Myllyla, and A. Zakharov, “Optical coherence tomography of multilayer tissue based on the dynamical stochastic fringe processing,” Proc. SPIE 5149, 13 (2003). [CrossRef]
  9. I. Gurov, A. Karpets, N. Margariants, and E. Vorobeva, “Full-field high-speed optical coherence tomography system for evaluating multilayer and random tissues,” Proc. SPIE 6618, 661807 (2007).

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