Imperial College London
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DrJamesChoi

Faculty of Engineering, Department of Bioengineering

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 1777j.choi Website

 
 
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Location

 

RSM 4.06Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Sujarittam:2020:10.1121/10.0002490,
author = {Sujarittam, K and Choi, JJ},
doi = {10.1121/10.0002490},
journal = {The Journal of the Acoustical Society of America},
pages = {2958--2972},
title = {Angular dependence of the acoustic signal of a microbubble cloud},
url = {http://dx.doi.org/10.1121/10.0002490},
volume = {148},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Microbubble-mediated ultrasound therapies have a common need for methods that can noninvasively monitor the treatment. One approach is to use the bubbles' acoustic emissions as feedback to the operator or a control unit. Current methods interpret the emissions' frequency content to infer the microbubble activities and predict therapeutic outcomes. However, different studies placed their sensors at different angles relative to the emitter and bubble cloud. Here, it is evaluated whether such angles influence the captured emissions such as the frequency content. In computer simulations, 128 coupled bubbles were sonicated with a 0.5-MHz, 0.35-MPa pulse, and the acoustic emissions generated by the bubbles were captured with two sensors placed at different angles. The simulation was replicated in experiments using a microbubble-filled gel channel (0.5-MHz, 0.19–0.75-MPa pulses). A hydrophone captured the emissions at two different angles. In both the simulation and the experiments, one angle captured periodic time-domain signals, which had high contributions from the first three harmonics. In contrast, the other angle captured visually aperiodic time-domain features, which had much higher harmonic and broadband content. Thus, by placing acoustic sensors at different positions, substantially different acoustic emissions were captured, potentially leading to very different conclusions about the treatment outcome.
AU  - Sujarittam,K
AU  - Choi,JJ
DO  - 10.1121/10.0002490
EP  - 2972
PY  - 2020///
SN  - 0001-4966
SP  - 2958
TI  - Angular dependence of the acoustic signal of a microbubble cloud
T2  - The Journal of the Acoustical Society of America
UR  - http://dx.doi.org/10.1121/10.0002490
UR  - https://asa.scitation.org/doi/10.1121/10.0002490
UR  - http://hdl.handle.net/10044/1/85156
VL  - 148
ER  -
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