Title
Mechanical and Optical Dynamic Model of Lung
Abstract
A multiscale, multiphysics model generates synthetic images of alveolar compression under spherical indentation at the visceral pleura of an inflated lung. A mechanical model connects the millimeter scale of an indenter tip to the behavior of alveoli, walls, and membrane at the micrometer scale. A finite-difference model of optical coherence tomography (OCT) generates the resulting images. Results show good agreement with the experiments performed using a unique indenter-OCT system. The images depict the physical result with the addition of refractive artifacts and speckle. Compression of the alveoli alters the refractive effects, which introduce systematic errors in the computation of alveolar volume. The complete computational model is useful to evaluate new proposed imaging instrumentation and to develop algorithms for obtaining quantitative data on deformation. Among the potential applications, a better understanding of recruitment of alveoli during inflation of a lung, obtained through a combination of models and imaging could lead to improvements in noninvasive treatment of atelectasis.
Year
DOI
Venue
2011
10.1109/TBME.2011.2160346
Biomedical Engineering, IEEE Transactions
Keywords
Field
DocType
biological techniques,biomechanics,biomedical optical imaging,finite difference methods,indentation,lung,micromechanics,optical tomography,physiological models,alveolar volume computation,alveoli behavior,alveoli compression,alveoli recruitment,finite difference model,indenter tip,indenter-OCT system,inflated lung,lung inflation,lung mechanical dynamic model,lung optical dynamic model,multiscale multiphysics model,optical coherence tomography,refractive artifacts,speckle,spherical indentation,synthetic alveolar compression images,visceral pleura,Alveoli,indentation,lung,optical coherence tomography (OCT)
Biomedical engineering,Compression (physics),Optical coherence tomography,Indentation,Speckle pattern,Computer science,Artificial intelligence,Optical tomography,Computation,Computer vision,Atelectasis,Multiphysics,Optics
Journal
Volume
Issue
ISSN
58
10
0018-9294
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Andrew Gouldstone141.23
Nazli Caner200.34
Tristan B Swedish393.60
Salmon M Kalkhoran400.34
Charles A DiMarzio56613.84