Solving the problem of calculating strain indices in echocardiography using deep learning neural networks : доклад, тезисы доклада

Alekhina Anna; Dorrer Mikhail; Sadovskiy Mikhail; Sakovich Vitaly; Demichev Igor

Дополнительные ссылки: eLibrary · Источник статьи

База данных: Каталог библиотеки СФУ

Библиографическое описание: Solving the problem of calculating strain indices in echocardiography using deep learning neural networks : доклад, тезисы доклада / A. A. Alekhina [et al.]. - [S. l. : s. n.], 2023. - Текст : непосредственный // = E3S Web of Conferences / International Scientific Conference on Biotechnology and Food Technology (BFT-2023) (2023 ; 19.09 - 21.09 ; St. Petersburg) : EDP Sciences?460. - P. 04026. - DOI 10.1051/e3sconf/202346004026.

Аннотация: The paper sets the task of calculating the parameters of deformation of the heart muscle according to echocardiogram data under interference conditions, for example, in the study of children. Indicators of deformation (strain value) of the heart muscle were used by us to determine the presence and severity of dysfunction of the chambers of the heart in atrial septal defect – a congenital heart defect characterized by the presence of communication between the right and left atria. The problem was solved by analyzing the video stream obtained from the installation of echocardiography using a set of deep learning neural network architectures designed for image segmentation. The study was conducted for the U-net architecture. As a result of processing the video stream, it was possible to solve the problem of segmentation of the walls of the heart muscle and binding of key points in the condition of interference in the removal of an echocardiogram on child patients unable to remain motionless during the study. The obtained indicators provide the cardiologist with important information for determining the dysfunction of the chambers of the heart (especially the right atrium, the most compromised chamber of the heart in the studied cases) with a defect of the atrial septum.

Год издания: 2023

Авторы: Alekhina Anna , Dorrer Mikhail , Sadovskiy Mikhail , Sakovich Vitaly , Demichev Igor

Издательство: EDP Sciences?

Выпуск: 460

Мероприятие: International Scientific Conference on Biotechnology and Food Technology (BFT-2023) (St. Petersburg, 2023 ; 19.09 - 21.09)

Номера страниц: 04026

Держатель оригинала документа: Federal Siberian Research and Clinical Centre FMBA, Institute of Computational Modeling SB RAS, Professor V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, Reshetnev Siberian State University of Science and Technology, Siberian Federal University

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Solving the problem of calculating strain indices in echocardiography using deep learning neural networks : доклад, тезисы доклада
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