NDLI: Computational fluid dynamics modeling of upper airway during tidal breathing using volume-gated MRI in OSAS and control subjects

Content Provider	IEEE Xplore Digital Library
Author	Persak, S.C. Sanghun Sin Arens, R. Wootton, D.M.
Copyright Year	2010
Description	Author affiliation: Department of Mechanical Engineering, The Cooper Union, 41 Cooper Square, New York, NY 10003, United States (Persak, S.C.; Sanghun Sin; Arens, R.; Wootton, D.M.)
Abstract	Three-dimensional (3D) analysis of the deforming airway during tidal breathing has not been performed in children with obstructive sleep apnea. We used volume-gated magnetic resonance images to segment, surface, and volume mesh the airway of one child with obstructive sleep apnea syndrome (OSAS) and one control. A computational fluid dynamics (CFD) study was performed on each airway at flow rates corresponding to 10 time points of a respiratory cycle extracted from flow data averaged over 12 consecutive breathing cycles. 3D CFD analysis showed the minimum inspiratory pressure for the OSAS subject was −250.76 Pa and −124.24 Pa for the control. Gated MRI images depicted an overall 47% decrease in airway volume over the inspiratory cycle for the OSAS subject while the control experienced no collapse. Pressure distribution corrected for nasal resistance and turbulence kinetic energy data suggest airway collapsibility in the OSAS is a function of pharyngeal resistance and fluid and tissue mechanics rather than entirely nasal resistance.
Starting Page	1
Ending Page	2
File Size	413122
Page Count	2
File Format	PDF
ISBN	9781424468799
e-ISBN	9781424469246
DOI	10.1109/NEBC.2010.5458124
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational fluid dynamics Computational modeling Magnetic resonance imaging Fluid flow control Performance analysis Sleep apnea Magnetic analysis Magnetic resonance Image segmentation Data mining
Content Type	Text
Resource Type	Article

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