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
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...
Depositing User:	Massoud Zolgharni
Date Deposited:	20 Sep 2023 14:17
Last Modified:	04 Nov 2024 12:23
URI:	https://repository.uwl.ac.uk/id/eprint/9075

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