The work is devoted to the development of a scientific and technical basis for instrument implementation of a digital diaphanoscopy technology for the diagnosis of maxillary sinus inflammatory diseases taking into account the anatomical features of patients (differences in skin structure, skull bone thickness, and sinus size), the optical properties of exercised tissues, and the age and gender characteristics of patients. The technology is based on visualization and analysis of scattering patterns of low-intensity radiation as it passes through the maxillary sinuses. The article presents the experimental data obtained using the digital diaphanoscopy method and the results of numerical simulation of the optical radiation passage through the study area. The experimental setup has been modernized through the installation of a a device for controlling the LED applicator brightness. The approach proposed may have considerable promise for creating diagnostic criteria for various pathological changes and can be used to assess the differences in the optical and anatomical features of males and females.
|Publication status||Published - 6 Jan 2021|
Bibliographical note© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://
Funding: The reported study was funded by RFBR according to the research project No. 20-32-90147
(original draft preparation, measurements, numerical simulation). The work was also supported
by the grant of the President of the Russian Federation for state support of young Russian scientists No. MK-2634.2019.8 (development of experimental setup and data acquisition). V.D. kindly
acknowledges personal support from the European Union’s Horizon 2020 research and innovation
programme under the Marie Skłodowska-Curie grant agreement No. 839888.
- optical diagnostics
- digital diaphanoscopy
- magnetic resonance imaging
- paranasal sinuses
- inflammatory diseases
- Monte Carlo simulation