Experimental and Computational Studies of Sound Transmission in a Branching Airway Network Embedded in a Compliant Viscoelastic Medium

Overview

Journal J Sound Vib

Date 2015 Jun 23

PMID 26097256

Citations 5

Authors

Zoujun Dai

Ying Peng

Hansen A Mansy

Richard H Sandler

Thomas J Royston

Affiliations

Soon will be listed here.

Abstract

Breath sounds are often used to aid in the diagnosis of pulmonary disease. Mechanical and numerical models could be used to enhance our understanding of relevant sound transmission phenomena. Sound transmission in an airway mimicking phantom was investigated using a mechanical model with a branching airway network embedded in a compliant viscoelastic medium. The Horsfield self-consistent model for the bronchial tree was adopted to topologically couple the individual airway segments into the branching airway network. The acoustics of the bifurcating airway segments were measured by microphones and calculated analytically. Airway phantom surface motion was measured using scanning laser Doppler vibrometry. Finite element simulations of sound transmission in the airway phantom were performed. Good agreement was achieved between experiments and simulations. The validated computational approach can provide insight into sound transmission simulations in real lungs.

Citing Articles

Sound transmission in human thorax through airway insonification: an experimental and computational study with diagnostic applications.

Palnitkar H, Henry B, Dai Z, Peng Y, Mansy H, Sandler R Med Biol Eng Comput. 2020; 58(10):2239-2258.

PMID: 32666412 PMC: 7501255. DOI: 10.1007/s11517-020-02211-y.

Simulation of bronchial airway acoustics in healthy and asthmatic subjects.

Aliboni L, Pennati F, Royston T, Woods J, Aliverti A PLoS One. 2020; 15(2):e0228603.

PMID: 32040483 PMC: 7010248. DOI: 10.1371/journal.pone.0228603.

A multiscale analytical model of bronchial airway acoustics.

Henry B, Royston T J Acoust Soc Am. 2017; 142(4):1774.

PMID: 29092575 PMC: 5626572. DOI: 10.1121/1.5005497.

Generation of Pig Airways using Rules Developed from the Measurements of Physical Airways.

Azad M, Mansy H J Bioeng Biomed Sci. 2017; 6(4).

PMID: 28255517 PMC: 5330366. DOI: 10.4172/2155-9538.1000203.

Geometric features of pig airways using computed tomography.

Azad M, Mansy H, Gamage P Physiol Rep. 2016; 4(20).

PMID: 27798351 PMC: 5099960. DOI: 10.14814/phy2.12995.

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