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

Keywords: Cardiac imaging, Tissue Doppler Echocardiography, Deep learning

TL;DR: Deep learning model, trained and tested on Doppler strips of arbitrary length, for rapid beat detection and Cartesian coordinate localisation of peak velocities.

Abstract: 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.

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Paper Type: novel methodological ideas without extensive validation

Primary Subject Area: Transfer Learning and Domain Adaptation

Secondary Subject Area: Detection and Diagnosis

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