Efficient computation of high-amplitude acoustics in the body: From ultrasound to noise

We present computational and experimental results for appreciating the biological effects of high-amplitude acoustics. This talk focuses on two problems with shared motivation. We represent the damage of noise to ear drums via vorticity production from broadband acoustic fields. Scale-resolved simulations identify the mechanisms that introduce harmful noise levels in purportedly well-fit ear plugs. Similarly, we present a strategy for optimal experimentation that identifies the material properties of soft, biological materials at high strains. A Bayesian strategy is buttressed by data assimilation and computer simulation. With these tools, we parameterize models for biological matter that otherwise require expensive experimentation via only a few simulations. Equipped with this information, we reliably distinguish between good and poor models and validate against simulation-unseen established experiments. A method for classifying the otherwise unknown biomaterial response is presented. Simulation-aided ablation treatment of biologically formed stones and malignant tissues via non-invasive biomedical ultrasound is also discussed.

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Publication Details

Journal
The Journal of the Acoustical Society of America
Published
2025-04-01
DOI
https://doi.org/10.1121/10.0037998
Primary Topic
Microfluidic and Bio-sensing Technologies
Type
article
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article

Efficient computation of high-amplitude acoustics in the body: From ultrasound to noise

Spencer H. Bryngelson
The Journal of the Acoustical Society of America
Microfluidic and Bio-sensing Technologies
article

Efficient computation of high-amplitude acoustics in the body: From ultrasound to noise

Spencer H. Bryngelson
article en

Abstract

We present computational and experimental results for appreciating the biological effects of high-amplitude acoustics. This talk focuses on two problems with shared motivation. We represent the damage of noise to ear drums via vorticity production from broadband acoustic fields. Scale-resolved simulations identify the mechanisms that introduce harmful noise levels in purportedly well-fit ear plugs. Similarly, we present a strategy for optimal experimentation that identifies the material properties of soft, biological materials at high strains. A Bayesian strategy is buttressed by data assimilation and computer simulation. With these tools, we parameterize models for biological matter that otherwise require expensive experimentation via only a few simulations. Equipped with this information, we reliably distinguish between good and poor models and validate against simulation-unseen established experiments. A method for classifying the otherwise unknown biomaterial response is presented. Simulation-aided ablation treatment of biologically formed stones and malignant tissues via non-invasive biomedical ultrasound is also discussed.

The Journal of the Acoustical Society of AmericaVol. 157(4_Supplement)
Georgia Institute of Technology (US)
No poverty
Openalex Percentile: Top 82%
Microfluidic and Bio-sensing Technologies
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