Ms. Ekaterina O. Bryanskaya Profile

Ekaterina O. Bryanskaya

at Orel State Univ named after IS Turgenev

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Publications (7)

Proceedings Article | 11 August 2023 Paper

Determination of the physiological state of cells by differences in FAD fluorescence intensity

A. Dolgikh, E. Bryanskaya, A. Yu. Vinokurov, A. Dunaev

Proceedings Volume 12627, 126272L (2023) https://doi.org/10.1117/12.2670961

KEYWORDS: Fluorescence intensity, Autofluorescence, Signal intensity, Fluorescence, Skin, Safety, Pathology, Oxidation, Diseases and disorders

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Proceedings Article | 29 April 2022 Paper

Digital diaphanoscopy in the diagnosis of maxillary sinus diseases for patients with different anatomical and gender features

E. Bryanskaya, I. Novikova, V. Dremin, Yu. Nikolaeva, V. Pil'nikov, A. Bakotina, A. Ovchinnikov, D. Panchenkov, A. Baranov, V. Artyushenko, A. Dunaev

Proceedings Volume 12192, 121920A (2022) https://doi.org/10.1117/12.2625796

KEYWORDS: Light scattering, Pathology, Scattering, Computed tomography, Digital image processing, Cameras, Algorithm development, Light emitting diodes, Image processing, Image classification

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Proceedings Article | 7 December 2021 Paper

Brightness controller optimization for the digital diaphanoscopy system

E. Bryanskaya, R. Yu. Gneushev, I. Novikova, V. Dremin, A. Dunaev

Proceedings Volume 11919, 119191Z (2021) https://doi.org/10.1117/12.2615012

KEYWORDS: Light scattering, Light emitting diodes, Scattering, Cameras, Pathology, Tissue optics, Resistors, Image processing, Digital signal processing, Digital image processing

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Proceedings Article | 4 May 2021 Paper

Simulation of the effect of purulent content of the maxillary sinuses on the transillumination signal

E. Bryanskaya, R. Yu. Gneushev, I. Novikova, V. Dremin, A. Dunaev

Proceedings Volume 11845, 118450U (2021) https://doi.org/10.1117/12.2591004

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Proceedings Article | 9 April 2020 Paper

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

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

Proceedings Volume 11457, 114571K (2020) https://doi.org/10.1117/12.2564314

KEYWORDS: Monte Carlo methods, Tissues, Pathology, Tissue optics, Diagnostics, Tumors, Optical properties, Scattering, Bone, Sensors

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Proceedings Article | 2 April 2020 Presentation

Simulation of digital diaphanoscopy signal changes in an improved cross-sectional model (Conference Presentation)

Ekaterina Bryanskaya, Roman Gneushev, Irina Makovik, Viktor Dremin, Artem Bukin, Olga Bibikova, Boris Shuraev, Olaf Minet, Urszula Zabarylo, Andrey Dunaev, Viacheslav Artyushenko

Proceedings Volume 11363, 113631T (2020) https://doi.org/10.1117/12.2555150

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The digital diaphanoscopy method seems promising for solving one of the urgent problems of modern otolaryngology, which is associated with providing accurate, painless and timely diagnosis of pathologies of the maxillary sinuses. Optical properties of the study area and their changes for different anatomical and gender features and pathologies presence determine the results of digital diaphanoscopy. Adjusting the parameters of the probing and measuring parts of digital diaphanoscopy devices taking into account these factors is important task to obtain similar light scattering patterns for different patients and the possibility of their subsequent comparison. This paper presents the improved numerical model of the maxillary sinuses. The developed model considered the maxillary sinuses sizes, their location and asymmetry, various thicknesses of bone and soft tissues, size and localization of pathology (cystic fluid and tumor). The cross-sectional face model was more detailed and considered the curvature of the face. Simulation was carried out at various positioning of radiation source relative to the study area and detector. Additionally, the various rotation angles of the study area with radiation source relative to the detector were considered. The attenuation of probe radiation intensity at the detector was estimated using the Monte Carlo method in the TracePro (Lambda Software) for visible and near-IR wavelengths at the different intensity values. The correlations between model signal and anatomical features of the study area, and the changes of the study area position were identified. It was established that registration of light scattering patterns at different position is important parameter for more accurate evaluation of the maxillary sinuses state and the localization of pathologies. The threshold values of the probe radiation intensity and the optimal study positions, which provide the optimal signal-to-noise ratio of the detectable signals, were identify.

Proceedings Article | 19 July 2019 Paper

Diagnosis of inflammatory diseases of the paranasal sinuses using digital diaphanoscopy

E. Bryanskaya, I. Makovik, A. Bukin, O. Bibikova, B. Shuraev, O. Minet, U. Zabarylo, A. Dunaev, V. Artyushenko

Proceedings Volume 11073, 110731P (2019) https://doi.org/10.1117/12.2526835

KEYWORDS: Magnetic resonance imaging, Visible radiation, Light scattering, Scattering, Pathology, Diagnostics, Image processing, Inflammation, Visualization, Tissue optics

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