Possibilities of automated diagnostics of odontogenic sinusitis according to the computer tomography data
Avrunin O.G. Nosova Y.V. Abdelhamid I.Y. Pavlov S.V. Shushliapina N.O. Wójcik W. Kisała P. Kalizhanova A.
2 February 2021MDPI AG
Sensors (Switzerland)
2021#21Issue 41 - 22 pp.
Individual anatomical features of the paranasal sinuses and dentoalveolar system, the complexity of physiological and pathophysiological processes in this area, and the absence of ac-tual standards of the norm and typical pathologies lead to the fact that differential diagnosis and assessment of the severity of the course of odontogenic sinusitis significantly depend on the measurement methods of significant indicators and have significant variability. Therefore, an ur-gent task is to expand the diagnostic capabilities of existing research methods, study the signifi-cance of the measured indicators, and substantiate the expediency of their use in the diagnosis of specific pathologies in an automated mode. Methods of digital filtering, image segmentation and analysis, fluid dynamics, and statistical and discriminant analysis were used. Preliminary differential diagnosis of odontogenic sinusitis can be performed by densitemetric analysis of tomo-graphic images of the maxillary sinuses, performed using frontal multiplanar reconstructions according to a given algorithm. The very manifestation of the characteristic changes in the densito-graphy of the maxillary sinus allows for the initiation of certain pathological processes and permits the development of the effectiveness of the diagnosis of the pathology of the sinus sinuses, which can be realized automatically in real life.
Bone densitography , Discriminant analysis , Pathology diagnosis , Sinusitis
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Department of Biomedical Engineering, Faculty of Electronic and Biomedical Engineering, Kharkiv National University of Radio Electronics, Kharkiv, 61166, Ukraine
Department of Biomedical Engineering, Vinnytsia National Technical University, Vinnytsia, 21021, Ukraine
Department of Otorhinolaryngology, Stomatological Faculty Kharkiv National Medical University, Kharkiv, 61022, Ukraine
Institute of Electronic and Information Technologies, Faculty Electrical Engineering and Computer Science, Lublin University of Technology, Lublin, 20-618, Poland
Institute of Information and Computational Technologies CS MES RK, Almaty, 050010, Kazakhstan
University of Power Engineering and Telecommunications, Almaty, 050013, Kazakhstan
Department of Biomedical Engineering
Department of Biomedical Engineering
Department of Otorhinolaryngology
Institute of Electronic and Information Technologies
Institute of Information and Computational Technologies CS MES RK
University of Power Engineering and Telecommunications
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