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Optics and Spectroscopy, 2019, Volume 126, Issue 5, Pages 670–677
DOI: https://doi.org/10.21883/OS.2019.05.47669.18-19 (Mi os725) 		 
This article is cited in 3 scientific papers (total in 3 papers)

The 22nd Annual Conference Saratov Fall Meeting 2018 (SFM'18): VI International Symposium ''Optics and Biophotonics'' and XXII International School for Junior Scientists and Students on Optics, Laser Physics & Biophotonics
Biophotonics

An experimentally trained noise filtration method of optical coherence tomography signals

I. N. Dolganovaab, N. V. Chernomyrdinbc, P. V. Aleksandrovab, I. V. Reshetovd, V. E. Karasikb, K. I. Zaitsevbc, V. V. Tuchine

a Institute of Solid State Physics, Russian Academy of Sciences, Chernogolovka, Moscow region
b Bauman Moscow State Technical University
c Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow
d I. M. Sechenov First Moscow State Medical University
e Saratov State University
Citations (3)
DOI: https://doi.org/10.21883/OS.2019.05.47669.18-19
Abstract: A method for wavelet filtration procedure training for optical coherence tomography (OCT) images using the experimental measurements of test objects that were constructed by means of water solutions of monodisperse nanoparticles and several microscopic inclusions has been described in the present paper. The choice of test-object parameters (concentration of water solution, size of nanoparticles, and shape, dimensions, and mutual position of inclusions) has allowed the modeling of various working conditions of OCT and setting different criteria for estimation of filtration efficiency. In the present work, the optimal filter for the considered example of a test object has been selected among the combinations of various basic functions of five wavelet families, soft and hard threshold filtering methods, four decomposition levels, and threshold values in a range of 0.05–3.05. The mutual position of the micro-inclusions has been used as a criterion for evaluating the filtration efficiency. As a result, it has been shown that the determined wavelet filter leads to effective suppression of the scattering noise in OCT images and preserve information about the structure of the object under study.
Funding agency Grant number
Russian Science Foundation 14-19-01083
This work was executed with the financial support of the Russian Science Foundation within the framework of scientific project no. 14-19-01083.
Received: 03.12.2018
Revised: 31.01.2019
Accepted: 31.01.2019
English version:
Optics and Spectroscopy, 2019, Volume 126, Issue 5, Pages 587–594
DOI: https://doi.org/10.1134/S0030400X19050072
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: I. N. Dolganova, N. V. Chernomyrdin, P. V. Aleksandrova, I. V. Reshetov, V. E. Karasik, K. I. Zaitsev, V. V. Tuchin, “An experimentally trained noise filtration method of optical coherence tomography signals”, Optics and Spectroscopy, 126:5 (2019), 670–677; Optics and Spectroscopy, 126:5 (2019), 587–594
Citation in format AMSBIB
\Bibitem{DolCheAle19}
\by I.~N.~Dolganova, N.~V.~Chernomyrdin, P.~V.~Aleksandrova, I.~V.~Reshetov, V.~E.~Karasik, K.~I.~Zaitsev, V.~V.~Tuchin
\paper An experimentally trained noise filtration method of optical coherence tomography signals
\jour Optics and Spectroscopy
\yr 2019
\vol 126
\issue 5
\pages 670--677
\mathnet{http://mi.mathnet.ru/os725}
\crossref{https://doi.org/10.21883/OS.2019.05.47669.18-19}
\elib{https://elibrary.ru/item.asp?id=39133883}
\transl
\jour Optics and Spectroscopy
\yr 2019
\vol 126
\issue 5
\pages 587--594
\crossref{https://doi.org/10.1134/S0030400X19050072}
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  • https://www.mathnet.ru/eng/os725
  • https://www.mathnet.ru/eng/os/v126/i5/p670
    • This publication is cited in the following 3 articles:
    1. S.E. Avetisov, V.V. Averich, I.A. Novikov, V.P. Erichev, D.V. Kosova, V.I. Siplivy, “The effect of keratoconus-associated refractive errors on the results of tomographic methods of studying the posterior structures of the eye”, Vestn. oftal'mol., 139:5 (2023), 27  crossref
    2. I. N. Dolganova, P. V. Aleksandrova, N. A. Naumova, P. V. Nikitin, K. I. Zaytsev, S. T. Beshplav, V. V. Tuchin, 2020 International Conference Laser Optics (ICLO), 2020, 1  crossref
    3. Lyudmila V. Belovolova, Mikhail I. Belovolov, Mikhail M. Belovolov, Guzel Railevna Musina, “Sound response of baker's yeast and aqueous solutions to external influences investigated by interferometry”, Opt. Eng., 59:06 (2019), 1  crossref
    Citing articles in Google Scholar: Russian citations, English citations
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