Paper
6 March 2023 Monitoring of lung ultrasound acquisition using volume sweep imaging protocol
Naomi Guevara, Ximena Montoya, Rodrigo Alarcón, Benjamin Castaneda, Stefano E. Romero
Author Affiliations +
Proceedings Volume 12567, 18th International Symposium on Medical Information Processing and Analysis; 1256711 (2023) https://doi.org/10.1117/12.2670172
Event: 18th International Symposium on Medical Information Processing and Analysis, 2022, Valparaíso, Chile
Abstract
The lung is vulnerable to suffering from different diseases, for its diagnosis one of the imaging technologies is ultrasound; however, it requires an expert to perform the acquisition and interpretation of the same. In Peru, many rural areas have little technology and untrained personnel, so one solution is to divide the acquisition and diagnosis. In this way, the radiologist only receives the video and performs the diagnosis through it and the local personnel is trained to perform the Volume Sweep Imaging protocol; however, there are some mistakes during its performance which are detected lately. To solve this problem, the paper proposes the use of three different algorithms: Adaptive Threshold, Threshold + non-consecutive minimum distance analysis and Derivative Analysis + Peak Detection, which show a better accuracy in the longitudinal direction of 77.96%; nevertheless, their work principle needs to be reformulated for transverse acquisition, where accuracy is less than 50%. This result show is possible to validate the protocol for lung ultrasound and give feedback to the locally trained physicians.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Naomi Guevara, Ximena Montoya, Rodrigo Alarcón, Benjamin Castaneda, and Stefano E. Romero "Monitoring of lung ultrasound acquisition using volume sweep imaging protocol", Proc. SPIE 12567, 18th International Symposium on Medical Information Processing and Analysis, 1256711 (6 March 2023); https://doi.org/10.1117/12.2670172
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KEYWORDS
Lung

Detection and tracking algorithms

Ultrasonography

Video

Algorithm development

Transducers

Chest imaging

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