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AUTOMATIC EXTRACTION OF DISEASE-SPECIFIC FEATURES FROM DOPPLER IMAGES
专利权人:
International Business Machines Corporation
发明人:
David J. Beymer,Mehdi Moradi,Mohammadreza Negahdar,Nripesh Parajuli,Tanveer F. Syeda-Mahmood
申请号:
US16412533
公开号:
US20190261880A1
申请日:
2019.05.15
申请国别(地区):
US
年份:
2019
代理人:
摘要:
An automatic extraction of disease-specific features from Doppler images to help diagnose valvular diseases is provided. The method includes the steps of obtaining a raw Doppler image from a series of images of an echocardiogram, isolating a region of interest from the raw Doppler image, the region of interest including a Doppler image and an ECG signal, and depicting at least one heart cycle, determining a velocity envelope of the Doppler image in the region of interest, extracting the ECG signal to synchronize the ECG signal with the Doppler image over the at least one heart cycle, within the region of interest, calculating a value of a clinical feature based on the extracted ECG signal synchronized with the velocity envelope, and comparing the value of the clinical feature with clinical guidelines associated with the clinical feature to determine a diagnosis of a disease.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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