Imitation of optical coherence tomography images by wave Monte Carlo-based approach implemented with the Leontovich–Fock equation


We present a computational modeling approach for imitation of the time-domain optical coherence tomography (OCT) images of biotissues. The developed modeling technique is based on the implementation of the Leontovich–Fock equation into the wave Monte Carlo (MC) method. We discuss the benefits of the developed computational model in comparison to the conventional MC method based on the modeling of OCT images of a nevus. The developed model takes into account diffraction on bulk-absorbing microstructures and allows consideration of the influence of the amplitude–phase profile of the wave beam on the quality of the OCT images. The selection of optical parameters of modeling medium, used for simulation of optical radiation propagation in biotissues, is based on the results obtained experimentally by OCT. The developed computational model can be used for imitation of the light waves propagation both in time-domain and spectral-domain OCT approaches.

Publication DOI:
Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
Additional Information: Copyright 2020 SPIE. One print or electronic copy may be made for personal use only. Systematic reproduction, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Uncontrolled Keywords: Leontovich-Fock equation,Monte Carlo method,biological tissue,imaging,optical coherence tomography,Atomic and Molecular Physics, and Optics,Engineering(all)
Publication ISSN: 1560-2303
Full Text Link:
Related URLs: https://www.spi ... 626.short?SSO=1 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2020-02-28
Accepted Date: 2020-02-12
Authors: Bulygin, Andrey D.
Vrazhnov, Denis A.
Sim, Elena S.
Meglinski, Igor (ORCID Profile 0000-0002-7613-8191)
Kistenev, Yury V.



Version: Published Version

| Preview

Export / Share Citation


Additional statistics for this record