Video-level view classification in focused cardiac ultrasound

Catarina Rodrigues; Bárbara Malainho; Ana Claudia Tonelli; André Santanchè; Marco A. Carvalho-Filho; Jorge Correia-Pinto; Vitor H. Pereira; Jaime C. Fonseca; Sandro Queirós

doi:10.1117/12.3005426

1 April 2024 Video-level view classification in focused cardiac ultrasound

Catarina Rodrigues, Bárbara Malainho, Ana Claudia Tonelli, André Santanchè, Marco A. Carvalho-Filho, Jorge Correia-Pinto, Vitor H. Pereira, Jaime C. Fonseca, Sandro Queirós

Author Affiliations +

Proceedings Volume 12932, Medical Imaging 2024: Ultrasonic Imaging and Tomography; 1293203 (2024) https://doi.org/10.1117/12.3005426
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Abstract

Focused cardiac ultrasound (FoCUS) is a medical technique that uses ultrasound to examine the heart at the bedside. To pave the way for an automatic analysis of FoCUS videos, the first step is to identify the imaged cardiac view. Previously developed methods have considered each frame separately and disregarded any temporal information, which is key due to FoCUS’ characteristic instability. Hereto, different strategies for video-level FoCUS view classification were investigated, all built on top of a ResNet-like network. In total, twelve networks were compared, from those sharing a spatial feature extractor to an architecture employing a spatiotemporal feature extractor. Overall, the latter led to the best performing model, highlighting a better ability to identify moving structures like heart valves, with a Matthews correlation coefficient of 0.9569.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Catarina Rodrigues, Bárbara Malainho, Ana Claudia Tonelli, André Santanchè, Marco A. Carvalho-Filho, Jorge Correia-Pinto, Vitor H. Pereira, Jaime C. Fonseca, and Sandro Queirós "Video-level view classification in focused cardiac ultrasound", Proc. SPIE 12932, Medical Imaging 2024: Ultrasonic Imaging and Tomography, 1293203 (1 April 2024); https://doi.org/10.1117/12.3005426

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