Lane, Elisabeth Sarah, Jevsikov, Jevgeni, Dhutia, Niti, Shun-shin, Matthew J, Francis, Darrel P and Zolgharni, Massoud (2023) Automated Multibeat Tissue Doppler Echocardiography Analysis Using Deep Neural Networks. In: Medical Imaging with Deep Learning, 6 – 8 July 2022, Zurich, Switzerland.

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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.

Item Type:	Conference or Workshop Item (Paper)
Identifier:	10.1007/s11517-022-02753-3
Keywords:	Cardiac imaging; Tissue Doppler Echocardiography; Deep learning
Subjects:	Computing > Intelligent systems
Related URLs:	https://link.springer.com/article/10.100...
Date Deposited:	20 Sep 2023
Dates:	Date Publication status 9 May 2022 Accepted 11 January 2023 Published
School, department or research centre:	School of Computing and Engineering
Keywords:	Cardiac imaging; Tissue Doppler Echocardiography; Deep learning
URI:	https://repository.uwl.ac.uk/id/eprint/9075

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