Acoustic Imaging of the Human Chest

Kompis, Martin; Pasterkamp, Hans; Wodicka, George R.

doi:10.1378/chest.120.4.1309

Cited by 123 publications

(90 citation statements)

References 17 publications

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“…[3][4][5][6] Indeed simultaneous, multi-sensor auscultation methods have been developed to "map" sounds on the thoracic surface by several groups. 5,[7][8][9][10][11] Also recently the phase contrast-based technique known as magnetic resonance elastography (MRE) has been applied to the lungs in pilot studies with limited success.…”

Section: Introduction a Motivationmentioning

confidence: 99%

A comprehensive computational model of sound transmission through the porcine lung

Dai

Peng

Henry

et al. 2014

The Journal of the Acoustical Society of America

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A comprehensive computational simulation model of sound transmission through the porcine lung is introduced and experimentally evaluated. This "subject-specific" model utilizes parenchymal and major airway geometry derived from x-ray CT images. The lung parenchyma is modeled as a poroviscoelastic material using Biot theory. A finite element (FE) mesh of the lung that includes airway detail is created and used in COMSOL FE software to simulate the vibroacoustic response of the lung to sound input at the trachea. The FE simulation model is validated by comparing simulation results to experimental measurements using scanning laser Doppler vibrometry on the surface of an excised, preserved lung. The FE model can also be used to calculate and visualize vibroacoustic pressure and motion inside the lung and its airways caused by the acoustic input. The effect of diffuse lung fibrosis and of a local tumor on the lung acoustic response is simulated and visualized using the FE model. In the future, this type of visualization can be compared and matched with experimentally obtained elastographic images to better quantify regional lung material properties to noninvasively diagnose and stage disease and response to treatment.

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Section: Introduction a Motivationmentioning

confidence: 99%

A comprehensive computational model of sound transmission through the porcine lung

Dai

Peng

Henry

et al. 2014

The Journal of the Acoustical Society of America

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“…Lung functional and structural imaging based on an array of contact acoustic sensors placed on the back has been researched for the past decade or so [9][10][11] and has recently gained more prominence through the burgeoning success of such systems as Deep Breeze TM , a commercial product utilizing up to 40 vacuummounted contact acoustic sensors on the patient's back or integrated into their bed to provide a real-time assessment of lung sound strength, spectral content, and regional variation, all of which may be beneficial to diagnosis [12][13][14]. Beyond obtaining an image that depicts the distribution of lung sounds on the torso surface, if a better understanding of mechanical wave propagation within the lungs and torso were available, one may be able to reconstruct the wave field within the lungs and torso based on the noninvasive surface measurements.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Poroviscoelastic Models for Sound and Vibration in the Lungs

Dai

Peng

Mansy

et al. 2014

Journal of Vibration and Acoustics

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Noninvasive measurement of mechanical wave motion (sound and vibration) in the lungs may be of diagnostic value, as it can provide information about the mechanical properties of the lungs, which in turn are affected by disease and injury. In this study, two previously derived theoretical models of the vibroacoustic behavior of the lung parenchyma are compared: (1) a Biot theory of poroviscoelasticity and (2) an effective medium theory for compression wave behavior (also known as a "bubble swarm" model). A fractional derivative formulation of shear viscoelasticity is integrated into both models. A measurable "fast" compression wave speed predicted by the Biot theory formulation has a significant frequency dependence that is not predicted by the effective medium theory. Biot theory also predicts a slow compression wave. The experimentally measured fast compression wave speed and attenuation in a pig lung ex vivo model agreed well with the Biot theory. To obtain the parameters for the Biot theory prediction, the following experiments were undertaken: quasistatic mechanical indentation measurements were performed to estimate the lung static shear modulus; surface wave measurements were performed to estimate lung tissue shear viscoelasticity; and flow permeability was measured on dried lung specimens. This study suggests that the Biot theory may provide a more robust and accurate model than the effective medium theory for wave propagation in the lungs over a wider frequency range.

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“…VRI can be regarded as an ''electronic stethoscope'', which records sounds from the chest using acoustic microphones [9] and converts them into grey-scale images [10,11,12]. Several studies have demonstrated that VRI technology is an excellent way to detect lung sound distribution during mechanical ventilation in both animal models and patients [13,14,15,16].…”

Section: Introductionmentioning

confidence: 99%