Отслеживание траекторий движения створок аортального клапана по данным эхокардиографии
Журнал: Российский журнал биомеханики @journal-biomech
Статья в выпуске: 4 (106) т.28, 2024 года.
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02 декабря 2024 Предлагается новый подход для оценки траекторий движения створок аортального клапана в течение сердечного цикла на основе данных эхокардиографии, направленный на по- следующее определение их механических свойств. Неинвазивный характер этого метода представляет значительное преимущество перед существующими экспериментальными техниками оценки механических свойств мягких тканей, которые часто включают инвазивные процедуры и ограничены доступностью образцов и этическими соображениями. В данном исследовании разработан программный модуль для отслеживания движения контрольных точек, отмеченных на створке аортального клапана, с использованием алгоритмов компьютерного зрения, примененных к видеоданным эхокардиографии. Программа использует нейронную сеть на основе библиотеки YOLOv8 для семантической сегментации и обнаружения объектов, что позволяет точно идентифицировать и отслеживать створки клапана в реальном времени. Программное обеспечение было первоначально валидировано на модельных данных для обеспечения точности и надежности алгоритма отслеживания. Затем оно было применено к реальным данным эхокардиографии, успешно реконструируя траектории створок аортального клапана в течение сердечного цикла. Эти траектории могут быть использованы в сочетании с математическими моделями для определения механических свойств створок клапана с помощью методов оптимизации. Предлагаемый метод представляет собой неинвазивное эффективное и точное средство оценки динамического поведения створок аортального клапана, что потенциально способствует улучшению диагностики и планирования лечения пациентов с заболеваниями аортального клапана. Дальнейшее развитие этого подхода может привести к более глубокому пониманию механических характеристик клапана и улучшению результатов хирургических вмешательств.
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Короткий адрес: https://sciup.org/146283007
IDS: 146283007 | УДК: 531/534: [57+61] | DOI: 10.15593/RZhBiomeh/2024.4.14
Aortic valve leaflets motion trajectories tracking by using echocardiography data
A new approach is proposed for evaluating the motion trajectories of aortic valve leaflets throughout the cardiac cycle based on echocardiography data, aimed at subse-quently determin-ing their mechanical properties. The non-invasive nature of this method presents a significant ad-vantage over existing experimental techniques for assessing the mechanical properties of soft tis-sues, which often involve invasive procedures and are limited by sample availability and ethical considerations. In this study, a software module was developed to track the movement of control points marked on the aortic valve leaflet, using computer vision algorithms applied to echocardiography video data. The program utilizes a neural network based on the YOLOv8 library for semantic seg-mentation and object detection, enabling precise identi-fication and real-time tracking of the valve leaflets. The software was initially validated on model data to ensure the accuracy and relia-bility of the tracking algorithm. It was then applied to real echocardiography data, suc-cessfully reconstruct-ing the trajectories of the aortic valve leaflets throughout the cardiac cycle. These trajectories can be used in conjunction with mathematical models to deter-mine the mechanical properties of the valve leaflets using optimization methods. The proposed method represents a non-invasive, efficient, and accurate means of assessing the dynamic behavior of aortic valve leaflets, potentially contributing to im-proved diagnosis and treatment planning for patients with aortic valve diseases. Further development of this approach may lead to a deeper understanding of the valve's me-chanical characteristics and enhance surgical outcomes.
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