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Augmented reality-based software (Echo-QR) for guiding the echographic probe toward the acoustic window: a pilot study.

Authors :
Thevenon, A.
Derache, F.
Faucoz, O.
Zuj, K.
Chaput, D.
Arbeille, P.
Source :
Frontiers in Medical Technology; 2024, p1-10, 10p
Publication Year :
2024

Abstract

Introduction: With current technology, ultrasound imaging in remote conditions, such as the International Space Station, is performed with vocal guidance or using a teleoperated echograph controlled by an expert. Both methods require real-time communications between the novice operator and expert to locate the probe over the appropriate acoustic windows (AW). The current study presents the development and testing of a new augmented reality software (Echo-QR) that would allow novice operators (with no medical imaging background) to correctly locate the ultrasound probe over the AW of interest without expert assistance. Methods: On the first day of the study, the positions of the probe over the AWs were identified for each organ by an expert sonographer and saved in the Echo-QR software. On the second day, the novices independently performed the ultrasound investigation using the Echo-QR software to correctly position the probe over each organ's AW. Results: Using the Echo-QR software, novice operators found the AWin 73 (92%) of the 79 organs. The 2D images acquired by the novices "2D direct image" were acceptable for medical evaluation in 41% of the cases. However, when the "2D direct image" did not show the entire organ, a 3D capture of the volume below the probe was also performed, which allowed for the extraction of the appropriate 2D image "2D/3D image" for medical evaluation in 85% of the cases. Discussion: Therefore, in the absence of real-time communication between an isolated participant and an expert sonographer, novel software (Echo-QR) and automated 3D volume capture can be used to obtain images usable for ultrasound diagnostics. [ABSTRACT FROM AUTHOR]

Details

Language :
English
Database :
Complementary Index
Journal :
Frontiers in Medical Technology
Publication Type :
Academic Journal
Accession number :
178549650
Full Text :
https://doi.org/10.3389/fmedt.2024.1287851