Literature DB >> 17614522

Boundary element model for simulating sound propagation and source localization within the lungs.

M B Ozer1, S Acikgoz, T J Royston, H A Mansy, R H Sandler.   

Abstract

An acoustic boundary element (BE) model is used to simulate sound propagation in the lung parenchyma. It is computationally validated and then compared with experimental studies on lung phantom models. Parametric studies quantify the effect of different model parameters on the resulting acoustic field within the lung phantoms. The BE model is then coupled with a source localization algorithm to predict the position of an acoustic source within the phantom. Experimental studies validate the BE-based source localization algorithm and show that the same algorithm does not perform as well if the BE simulation is replaced with a free field assumption that neglects reflections and standing wave patterns created within the finite-size lung phantom. The BE model and source localization procedure are then applied to actual lung geometry taken from the National Library of Medicine's Visible Human Project. These numerical studies are in agreement with the studies on simpler geometry in that use of a BE model in place of the free field assumption alters the predicted acoustic field and source localization results. This work is relevant to the development of advanced auscultatory techniques that utilize multiple noninvasive sensors to construct acoustic images of sound generation and transmission to identify pathologies.

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Year:  2007        PMID: 17614522     DOI: 10.1121/1.2715453

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  9 in total

1.  Experimental and Computational Models for Simulating Sound Propagation Within the Lungs.

Authors:  S Acikgoz; M B Ozer; T J Royston; H A Mansy; R H Sandler
Journal:  J Vib Acoust       Date:  2008-04       Impact factor: 1.583

2.  Experimental and numerical investigation on soft tissue dynamic response due to turbulence-induced arterial vibration.

Authors:  Huseyin Enes Salman; Yigit Yazicioglu
Journal:  Med Biol Eng Comput       Date:  2019-06-08       Impact factor: 2.602

3.  Comparison of Poroviscoelastic Models for Sound and Vibration in the Lungs.

Authors:  Zoujun Dai; Ying Peng; Hansen A Mansy; Richard H Sandler; Thomas J Royston
Journal:  J Vib Acoust       Date:  2014-07-25       Impact factor: 1.583

4.  A multiscale analytical model of bronchial airway acoustics.

Authors:  Brian Henry; Thomas J Royston
Journal:  J Acoust Soc Am       Date:  2017-10       Impact factor: 1.840

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

Authors:  Md Khurshidul Azad; Hansen A Mansy
Journal:  J Bioeng Biomed Sci       Date:  2016-09-15

6.  Sound transmission in the chest under surface excitation: an experimental and computational study with diagnostic applications.

Authors:  Ying Peng; Zoujun Dai; Hansen A Mansy; Richard H Sandler; Robert A Balk; Thomas J Royston
Journal:  Med Biol Eng Comput       Date:  2014-07-08       Impact factor: 2.602

7.  Localization of adventitious respiratory sounds.

Authors:  Brian Henry; Thomas J Royston
Journal:  J Acoust Soc Am       Date:  2018-03       Impact factor: 1.840

8.  Geometric features of pig airways using computed tomography.

Authors:  Md K Azad; Hansen A Mansy; Peshala T Gamage
Journal:  Physiol Rep       Date:  2016-10-24

9.  Locating stridor caused by tumor compression by using a multichannel electronic stethoscope: a case report.

Authors:  Fushun Hsu; Cheng-Hung How; Shang-Ran Huang; Yi-Tsun Chen; Jin-Shing Chen; Ho-Tsung Hsin
Journal:  J Clin Monit Comput       Date:  2020-05-09       Impact factor: 2.502

  9 in total

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