Automatic analysis system and method of contrast-enhanced echocardiography ventricular wall thickness based on deep learning

The invention discloses an automatic analysis system and method of contrast-enhanced echocardiography ventricular wall thickness based on deep learning. The system comprises a data acquisition and uploading module, a data identification and quality control module and a data measurement and presentat...

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Bibliographic Details
Main Authors DENG YOUBIN, LIU YANI, ZHENG KANGCHAO, ZHU YING
Format Patent
LanguageChinese
English
Published 08.06.2021
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Summary:The invention discloses an automatic analysis system and method of contrast-enhanced echocardiography ventricular wall thickness based on deep learning. The system comprises a data acquisition and uploading module, a data identification and quality control module and a data measurement and presentation module; the data acquisition and uploading module acquires enhanced echocardiography examination image videos and electrocardiogram examination images, and uploads the images to the data identification and quality control module; the data identification and quality control module preprocesses the uploaded images and videos through a deep learning algorithm module, marks different tissue structures, and performs image quality analysis and feasibility evaluation; and the data measurement and presentation module is used for measuring ventricular wall thickness data of the marked images, and automatically outputting and presenting a measured result to an ultrasonic image workstation. The automatic analysis system c
Bibliography:Application Number: CN202110088490