Invention Grant
- Patent Title: Automatic extraction of disease-specific features from doppler images
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Application No.: US16412533Application Date: 2019-05-15
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Publication No.: US11357435B2Publication Date: 2022-06-14
- Inventor: David J. Beymer , Mehdi Moradi , Mohammadreza Negahdar , Nripesh Parajuli , Tanveer F. Syeda-Mahmood
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Schmeiser, Olsen & Watts, LLP
- Agent Randall Bluestone
- Main IPC: A61B8/00
- IPC: A61B8/00 ; A61B5/316 ; A61B5/00 ; A61B8/08 ; A61B5/318 ; A61B5/02

Abstract:
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.
Public/Granted literature
- US20190261880A1 AUTOMATIC EXTRACTION OF DISEASE-SPECIFIC FEATURES FROM DOPPLER IMAGES Public/Granted day:2019-08-29
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