Automated Multibeat Tissue Doppler Echocardiography Analysis Using Deep Neural Networks
Elisabeth Sarah Lane, Jevgeni Jevsikov, Niti Dhutia, Matthew J Shun-shin, Darrel P Francis, Massoud Zolgharni
Tissue Doppler Imaging is an essential echocardiographic technique for the non-invasive assessment of myocardial blood velocity. Interpretation by trained experts is time-consuming and disruptive to workflow. This study presents an automated deep learning model, trained and tested on Doppler strips of arbitrary length, capable of rapid beat detection and Cartesian coordinate localisation of peak velocities with accuracy indistinguishable from human experts, but with greater speed.
Thursday 7th July
Poster Session 2.1 - onsite 15:20 - 16:20, virtual 11:00 - 12:00 (UTC+2)