Monte Carlo simulation of signals in digital diaphanoscopy of the maxillary sinuses

Abstract

Digital diaphanoscopy method has potential to separate normal and pathological conditions of the maxillary sinuses. The entirety of all the features of the investigated area (the presence or absence of pathology, its etiology and morphological features) affects the resulting images of the maxillary sinuses by the digital diaphanoscopy. In this work, the MonteCarlo numerical simulation method was used to determine the patterns of propagation of light radiation in biological tissue. A biologically heterogeneous environment, represented by structures of the skull and maxillary sinuses, as well as pathological changes in them was modelled in the TracePro software.

Publication DOI: https://doi.org/10.1117/12.2564314
Divisions: College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT)
Funding Information: The work was supported by the grant of the President scientists № MK-2634.2019.8.
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: Biological optical properties,Digital diaphanoscopy,Inflammatory diseases,Monte Carlo method,Optical diagnostics,Paranasal sinuses,Electronic, Optical and Magnetic Materials,Biomaterials,Atomic and Molecular Physics, and Optics,Radiology Nuclear Medicine and imaging
Publication ISSN: 1605-7422
Last Modified: 09 Apr 2024 07:18
Date Deposited: 16 Dec 2020 16:51
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.spi ... 12.2564314.full (Publisher URL)
PURE Output Type: Conference article
Published Date: 2020-04-09
Accepted Date: 2019-09-01
Authors: Bryanskaya, E. O.
Gneushev, R. Yu
Makovik, I. N.
Dremin, V. V. (ORCID Profile 0000-0001-6974-3505)
Bukin, A. G.
Bibikova, O. A.
Shuraev, B. M.
Minet, O.
Zabarylo, U.
Dunaev, A. V.
Artyushenko, V. G.

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