Literature DB >> 11591576

Acoustic imaging of the human chest.

M Kompis1, H Pasterkamp, G R Wodicka.   

Abstract

STUDY
OBJECTIVES: A novel method for acoustic imaging of the human respiratory system is proposed and evaluated.
DESIGN: The proposed imaging system uses simultaneous multisensor recordings of thoracic sounds from the chest wall, and digital, computer-based postprocessing. Computer simulations and recordings from a life-size gelatin model of the human thorax are used to evaluate the system in vitro. Spatial representations of thoracic sounds from 8-microphone and 16-microphone recordings from five subjects (four healthy male adults and one child with lung consolidation) are used to evaluate the system in vivo.
RESULTS: Results of the in vitro studies show that sound sources can be imaged to within 2 cm, and that the proposed algorithm is reasonably robust with respect to changes in the assumed sound speed within the imaged volume. The images from recordings from the healthy volunteers show distinct patterns for inspiratory breath sounds, expiratory breath sounds, and heart sounds that are consistent with the assumed origin of the respective sounds. Specifically, the images support the concept that inspiratory sounds are produced predominantly in the periphery of the lung while expiratory sounds are generated more centrally. Acoustic images from the subject with lung consolidation differ substantially from the images of the healthy subjects, and localize the abnormality.
CONCLUSIONS: Acoustic imaging offers new perspectives to explore the acoustic properties of the respiratory system and thereby reveal structural and functional properties for diagnostic purposes.

Entities:  

Mesh:

Year:  2001        PMID: 11591576     DOI: 10.1378/chest.120.4.1309

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  20 in total

1.  Acoustic thoracic image of crackle sounds using linear and nonlinear processing techniques.

Authors:  Sonia Charleston-Villalobos; Guadalupe Dorantes-Méndez; Ramón González-Camarena; Georgina Chi-Lem; José G Carrillo; Tomás Aljama-Corrales
Journal:  Med Biol Eng Comput       Date:  2010-07-21       Impact factor: 2.602

2.  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

3.  A comprehensive computational model of sound transmission through the porcine lung.

Authors:  Zoujun Dai; Ying Peng; Brian M Henry; Hansen A Mansy; Richard H Sandler; Thomas J Royston
Journal:  J Acoust Soc Am       Date:  2014-09       Impact factor: 1.840

4.  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

5.  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

6.  Breath sound changes associated with malpositioned endotracheal tubes.

Authors:  H A Mansy; C J O'Connor; R A Balk; R H Sandler
Journal:  Med Biol Eng Comput       Date:  2005-03       Impact factor: 2.602

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

Authors:  Zoujun Dai; Ying Peng; Hansen A Mansy; Richard H Sandler; Thomas J Royston
Journal:  J Sound Vib       Date:  2015-03-17       Impact factor: 3.655

8.  Vibration response imaging: evaluation of rater agreement in healthy subjects and subjects with pneumonia.

Authors:  Konstantinos Bartziokas; Christos Daenas; Sebastien Preau; Paris Zygoulis; Apostolos Triantaris; Theodora Kerenidi; Demosthenes Makris; Konstantinos I Gourgoulianis; Zoe Daniil
Journal:  BMC Med Imaging       Date:  2010-03-11       Impact factor: 1.930

9.  Localization of adventitious respiratory sounds.

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

Review 10.  Acoustic Methods for Pulmonary Diagnosis.

Authors:  Adam Rao; Emily Huynh; Thomas J Royston; Aaron Kornblith; Shuvo Roy
Journal:  IEEE Rev Biomed Eng       Date:  2018-10-29
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