Geometric analysis of pathological changes in lungs using CT images for COVID-19 diagnosis

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: Siberian Scientific Workshop on Data Analysis Technologies with Applications, SibDATA 2020

Год издания: 2020

Ключевые слова: color-coded contrast, ct image, follow-up observations, geometric image analysis, lung pathologies from covid-19, prediction of outcomes

Аннотация: The study is devoted to the analysis of dynamic changes in computer tomography (CT) images of lungs, with the presence of changes associated with COVID-19 in patients with the data confirmed by laboratory diagnostics. The assessment is carried out using the developed computational tools for visualizing pathological changes in lungs. For these purposes it is proposed to use algorithms for noise reduction, contrast enhancement, segmentation and spectral decomposition (shearlet transform). On this computational basis, we propose a methodology for geometric (texture) analysis for highlighting and contrasting local objects of interest, taking into account color coding. The results of the experimental study show that the developed computational technique is an effective tool for visualizing and analyzing the variability of the geometric (texture) features of the studied images, as well as for the dynamic analysis in time and prediction of possible outcomes. Copyright © 2020 for this paper by its authors.

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Издание

Журнал: CEUR Workshop Proceedings

Выпуск журнала: Vol. 2727

Номера страниц: 43-50

ISSN журнала: 16130073

Издатель: CEUR-WS

Персоны

Kents A. (Federal Siberian Scientific and Clinical Center FMBA of Russia, 24 Kolomenskaya st., Krasnoyarsk, 660037, Russian Federation)
Hamad Y. (Siberian Federal University, 79 Svobodny st., Krasnoyarsk, 660041, Russian Federation)
Simonov K. (Institute of Computational Modelling of the Siberian Branch, Russian Academy of Sciences, 50/44 Akademgorodok, Krasnoyarsk, 660036, Russian Federation)
Zotin A. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy pr., Krasnoyarsk, 660037, Russian Federation)
Kurako M. (Siberian Federal University, 79 Svobodny st., Krasnoyarsk, 660041, Russian Federation)

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