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

Harish Palnitkar, Brian M. Henry, Zoujun Dai, Ying Peng, Hansen A. Mansy, Richard H. Sandler, Robert A. Balk, Thomas J. Royston

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Pulmonary diseases and injury lead to structural and functional changes in the lung parenchyma and airways, often resulting in measurable sound transmission changes on the chest wall surface. Additionally, noninvasive imaging of externally driven mechanical wave motion in the chest (e.g., using magnetic resonance elastography) can provide information about lung stiffness and other structural property changes which may be of diagnostic value. In the present study, a comprehensive computational simulation (in silico) model was developed to simulate sound wave propagation in the airways, parenchyma, and chest wall under normal and pathological conditions that create distributed structural (e.g., pneumothoraces) and diffuse material (e.g., fibrosis) changes, as well as a localized structural and material changes as may be seen with a neoplasm. Experiments were carried out in normal subjects to validate the baseline model. Sound waves with frequency content from 50 to 600 Hz were introduced into the airways of three healthy human subjects through the mouth, and transthoracic transmitted waves were measured by scanning laser Doppler vibrometry at the chest wall surface. The computational model predictions of a frequency-dependent decreased sound transmission due to pneumothorax were consistent with experimental measurements reported in previous work. Predictions for the case of fibrosis show that while shear wave motion is altered, changes to compression wave propagation are negligible, and thus, insonification, which primarily drives compression waves, is not ideal to detect the presence of fibrosis. Results from the numerical simulation of a tumor show an increase in the wavelength of propagating waves in the immediate vicinity of the tumor region. [Figure not available: see fulltext.].

Original languageEnglish (US)
Pages (from-to)2239-2258
Number of pages20
JournalMedical and Biological Engineering and Computing
Volume58
Issue number10
DOIs
StatePublished - Oct 1 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020, International Federation for Medical and Biological Engineering.

Keywords

  • Computational modeling
  • Fibrosis
  • Finite element analysis
  • Lung acoustics
  • Pneumothorax
  • Tumor

Fingerprint

Dive into the research topics of 'Sound transmission in human thorax through airway insonification: an experimental and computational study with diagnostic applications'. Together they form a unique fingerprint.

Cite this