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

E. O. Bryanskaya; R. Yu Gneushev; I. N. Makovik; V. V. Dremin; A. G. Bukin; O. A. Bibikova; B. M. Shuraev; O. Minet; U. Zabarylo; A. V. Dunaev; V. G. Artyushenko

doi:10.1117/12.2564314

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

E. O. Bryanskaya^*, R. Yu Gneushev, I. N. Makovik, V. V. Dremin, A. G. Bukin, O. A. Bibikova, B. M. Shuraev, O. Minet, U. Zabarylo, A. V. Dunaev, V. G. Artyushenko

^*Corresponding author for this work

Aston Institute of Photonic Technologies (AiPT)

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English
Article number	114571K
Journal	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	11457
DOIs	https://doi.org/10.1117/12.2564314
Publication status	Published - 9 Apr 2020
Event	7th International Symposium on Optics and Biophotonics: Optical and Nano-Technologies for Biology and Medicine, SFM 2019 - Saratov, Russian Federation Duration: 23 Sept 2019 → 27 Sept 2019

Bibliographical note

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.

Keywords

Biological optical properties
Digital diaphanoscopy
Inflammatory diseases
Monte Carlo method
Optical diagnostics
Paranasal sinuses

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10.1117/12.2564314

Monte Carlo simulation of signals
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.
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Bryanskaya, E. O., Gneushev, R. Y., Makovik, I. N., Dremin, V. V., Bukin, A. G., Bibikova, O. A., Shuraev, B. M., Minet, O., Zabarylo, U., Dunaev, A. V., & Artyushenko, V. G. (2020). Monte Carlo simulation of signals in digital diaphanoscopy of the maxillary sinuses. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 11457, Article 114571K. https://doi.org/10.1117/12.2564314

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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.",

keywords = "Biological optical properties, Digital diaphanoscopy, Inflammatory diseases, Monte Carlo method, Optical diagnostics, Paranasal sinuses",

author = "Bryanskaya, {E. O.} and Gneushev, {R. Yu} and Makovik, {I. N.} and Dremin, {V. V.} and Bukin, {A. G.} and Bibikova, {O. A.} and Shuraev, {B. M.} and O. Minet and U. Zabarylo and Dunaev, {A. V.} and Artyushenko, {V. G.}",

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AU - Gneushev, R. Yu

AU - Makovik, I. N.

AU - Dremin, V. V.

AU - Bukin, A. G.

AU - Bibikova, O. A.

AU - Shuraev, B. M.

AU - Minet, O.

AU - Zabarylo, U.

AU - Dunaev, A. V.

AU - Artyushenko, V. G.

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PY - 2020/4/9

Y1 - 2020/4/9

N2 - 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.

AB - 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.

KW - Biological optical properties

KW - Digital diaphanoscopy

KW - Inflammatory diseases

KW - Monte Carlo method

KW - Optical diagnostics

KW - Paranasal sinuses

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Y2 - 23 September 2019 through 27 September 2019

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

Abstract

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Keywords

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