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

An acoustic boundary element model is used to simulate sound propagation in the lung parenchyma and surrounding chest wall. It is validated theoretically and numerically and then compared with experimental studies on lung-chest phantom models that simulate the lung pathology of pneumothorax. Studies quantify the effect of the simulated lung pathology on the resulting acoustic field measured at the phantom chest surface. This work is relevant to the development of advanced auscultatory techniques for lung, vascular, and cardiac sounds within the torso that utilize multiple noninvasive sensors to create acoustic images of the sound generation and transmission to identify certain pathologies.

[1]  G. Huiskamp,et al.  A Bidomain Model Based BEM-FEM Coupling Formulation for Anisotropic Cardiac Tissue , 2004, Annals of Biomedical Engineering.

[2]  Jyrki Lötjönen,et al.  Reconstruction of 3-D geometry using 2-D profiles and a geometric prior model , 1999, IEEE Transactions on Medical Imaging.

[3]  Jyrki Lötjönen,et al.  The effect of geometric and topologic differences in boundary element models on magnetocardiographic localization accuracy , 2000, IEEE Transactions on Biomedical Engineering.

[4]  Miguel C. Junger,et al.  Sound, Structures, and Their Interaction , 1972 .

[5]  Jan C. de Munck,et al.  The boundary element method in the forward and inverse problem of electrical impedance tomography , 2000, IEEE Transactions on Biomedical Engineering.

[6]  Robert D. Finch.  Introduction to Acoustics , 2004 .

[7]  R. Spagnolo,et al.  Surface distribution of crackling sounds , 1988, IEEE Transactions on Biomedical Engineering.

[8]  Sean F. Wu,et al.  The Boundary Element Method in Acoustics , 2000 .

[9]  K. Graff.  Wave Motion in Elastic Solids , 1975 .

[10]  Andrew J. Pullan,et al.  The computational performance of a high-order coupled FEM/BEM procedure in electropotential problems , 2001, IEEE Transactions on Biomedical Engineering.

[11]  S. Charleston-Villalobos,et al.  Respiratory acoustic thoracic imaging (RATHI): Assessing deterministic interpolation techniques , 2004, Medical and Biological Engineering and Computing.

[12]  I. V. Vovk,et al.  Modeling the acoustic properties of the chest and measuring breath sounds , 1995 .

[13]  Floyd Dunn,et al.  Ultrasonic absorption and reflection by lung tissue. , 1961 .

[14]  R. Balk,et al.  Pneumothorax detection using computerised analysis of breath sounds , 2002, Medical and Biological Engineering and Computing.

[15]  R. Sandler,et al.  Modeling sound transmission through the pulmonary system and chest with application to diagnosis of a collapsed lung. , 2001, The Journal of the Acoustical Society of America.

[16]  K. Stevens,et al.  A model of acoustic transmission in the respiratory system , 1989, IEEE Transactions on Biomedical Engineering.

[17]  David T. Wilton,et al.  Coupled Boundary and Finite Element Methods for the Solution of the Dynamic Fluid-Structure Interaction Problem , 1992 .

[18]  A. Vyshedskiy,et al.  Sound transmission in the lung as a function of lung volume. , 2002, Journal of applied physiology.

[19]  R. Balk,et al.  Pneumothorax detection using pulmonary acoustic transmission measurements , 2002, Medical and Biological Engineering and Computing.

[20]  Richard Sandler,et al.  Computerised analysis of auscultatory sounds associated with vascular patency of haemodialysis access , 2006, Medical and Biological Engineering and Computing.

[21]  Armen Sarvazyan.  Audible‐frequency medical diagnostic methods: Past, present and future , 2005 .

[22]  R. Hyatt,et al.  Effects of age on elastic moduli of human lungs. , 2000, Journal of applied physiology.

[23]  S. M. Kirkup.  Fortran codes for computing the discrete Helmholtz integral operators , 1998, Adv. Comput. Math..

[24]  R. Sandler,et al.  Acoustic characteristics of air cavities at low audible frequencies with application to pneumoperitoneum detection , 2001, Medical and Biological Engineering and Computing.

[25]  W. Welkowitz,et al.  Application of adaptive filters to noninvasive acoustical detection of coronary occlusions before and after angioplasty , 1992, IEEE Transactions on Biomedical Engineering.

[26]  Andrew J. Pullan,et al.  Comparison of potential- and activation-based formulations for the inverse problem of electrocardiology , 2003, IEEE Transactions on Biomedical Engineering.

[27]  H. Pasterkamp,et al.  Chest surface mapping of lung sounds during methacholine challenge , 1997, Pediatric pulmonology.

[28]  Francis Loth,et al.  Surface response of a viscoelastic medium to subsurface acoustic sources with application to medical diagnosis. , 2003, The Journal of the Acoustical Society of America.

[29]  A. Vyshedskiy,et al.  Transpulmonary speed of sound input into the supraclavicular space. , 2003, Journal of applied physiology.

[30]  G. F. Miller,et al.  The application of integral equation methods to the numerical solution of some exterior boundary-value problems , 1971, Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences.

[31]  R. Sandler,et al.  Use of abdominal percussion for pneumoperitoneum detection , 2002, Medical and Biological Engineering and Computing.

[32]  M Kompis,et al.  Acoustic imaging of the human chest. , 2001, Chest.

[33]  H. Mansy,et al.  Boundary element model for simulating sound propagation and source localization within the lungs. , 2007, The Journal of the Acoustical Society of America.