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Experimental and Numerical Simulations of Percussive Diagnosis of Lung Pathologies

[+] Author Affiliations
Serhan Acikgoz, Thomas J. Royston

University of Illinois at Chicago, Chicago, IL

Hansen A. Mansy, Richard H. Sandler

Rush Medical University, Chicago, IL

Paper No. DETC2007-34578, pp. 319-328; 10 pages
  • ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 1: 21st Biennial Conference on Mechanical Vibration and Noise, Parts A, B, and C
  • Las Vegas, Nevada, USA, September 4–7, 2007
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 0-7918-4802-7 | eISBN: 0-7918-3806-4
  • Copyright © 2007 by ASME


A mechanical phantom model was built to simulate percussive techniques for diagnosing pneumothorax (PTX) and hydrothorax (HTX) (collapsed lung with air or water in the pleural space, respectively). The model was built with materials that have similar acoustic properties to that of human parenchyma, soft tissue and ribs. A bladder was embedded into the parenchyma-mimicking foam to simulate PTX or HTX. Experimental frequency response measurements were taken on the mechanical phantom model for the simulated pathologies and the healthy case with percussive excitation and noninvasive response measurements at the soft tissue surface. To aid in understanding experimental measurements, a finite element model of the experimental setup was constructed in ANSYS and used to simulate these same cases. Normal velocity amplitudes over the soft tissue surface measured from the experimental setup and calculated via the finite element model were analyzed in the frequency domain to identify any patterns or signatures that could be exploited for diagnosis. Experiment and numerical studies agree in identifying the key features of the PTX condition versus the healthy case, but differ somewhat on how HTX can be distinguished from PTX and the healthy case. Reasons for this discrepancy are discussed. With some improvements, these computational and experimental phantom models may aid in the development of improved noninvasive acoustic techniques for identifying these and other life-threatening conditions.

Copyright © 2007 by ASME



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