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  4. Design and calibration of a Tonpilz transducer for low frequency medical ultrasound tomography
 

Design and calibration of a Tonpilz transducer for low frequency medical ultrasound tomography

URI
https://arbor.bfh.ch/handle/arbor/47158
Version
Published
Identifiers
10.1109/EMBC48229.2022.9872007
Date Issued
2022-07-15
Author(s)
Pigatto, A. V.
Giacobbo, L.
Lisibach, André  
Lopes Filho, E. M.
Lima, R. G.
Mueller, J. L.
Type
Conference Paper
Language
English
Abstract
The design and performance of a transducer for low frequency ultrasound tomography is presented, motivated by recent research demonstrating that acoustic waves transmitting at frequencies between 10 kHz and 750 kHz penetrate the lungs and may be useful for thoracic imaging. An adaptation of the traditional Tonpilz design was developed, vibrational amplitude and electrical impedance were measured, and an optimal frequency was determined. The design is found to meet the desired mechanical, electrical, and safety specifications. Thus, it was considered a promising option for the target application of pulmonary imaging with ultrasound computed tomography between 50 and 200 kHz; highest efficiency achieved around 125 kHz and 156 kHz, and beam divergence of 40°.
DOI
https://doi.org/10.24451/arbor.13409
Publisher DOI
10.1109/embc48229.2022.9872007
Journal or Serie
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
ISSN
2694-0604
Publisher URL
https://ieeexplore.ieee.org/document/9872007
Organization
Technik und Informatik  
Conference
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Publisher
IEEE
Submitter
LisibachA
Citation apa
Pigatto, A. V., Giacobbo, L., Lisibach, A., Lopes Filho, E. M., Lima, R. G., & Mueller, J. L. (2022). Design and calibration of a Tonpilz transducer for low frequency medical ultrasound tomography. In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 4611–4617). IEEE. https://doi.org/10.24451/arbor.13409
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