Measurement, reconstruction, and flow-field computation of the human pharynx with application to sleep apnea

A. D. Lucey, A. J.C. King, G. A. Tetlow, J. Wang, J. J. Armstrong, M. S. Leigh, A. Paduch, J. H. Walsh, David D. Sampson, P. R. Eastwood, D. R. Hillman

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)

Abstract

Repetitive closure of the upper airway characterizes obstructive sleep apnea. It disrupts sleep causing excessive daytime drowsiness and is linked to hypertension and cardiovascular disease. Previous studies simulating the underlying fluid mechanics are based upon geometries, time-averaged over the respiratory cycle, obtained usually via MRI or CT scans. Here, we generate an anatomically correct geometry from data captured in vivo by an endoscopic optical technique. This allows quantitative real-time imaging of the internal cross section with minimal invasiveness. The steady inhalation flow field is computed using a k-ω shearstress transport (SST) turbulence model. Simulations reveal flow mechanisms that produce low-pressure regions on the sidewalls of the pharynx and on the soft palate within the pharyngeal section of minimum area. Soft-palate displacement and side-wall deformations further reduce the pressures in these regions, thus creating forces that would tend to narrow the airway. These phenomena suggest a mechanism for airway closure in the lateral direction as clinically observed. Correlations between pressure and airway deformation indicate that quantitative prediction of the low-pressure regions for an individual are possible. The present predictions warrant and can guide clinical investigation to confirm the phenomenology and its quantification, while the overall approach represents an advancement toward patient-specific modeling.

Original languageEnglish
Pages (from-to)2535-2548
Number of pages14
JournalIEEE Transactions On Biomedical Engineering
Volume57
Issue number10
DOIs
Publication statusPublished - Oct 2010
Externally publishedYes

Bibliographical note

Funding Information:
Manuscript received January 28, 2010; revised April 29, 2010; accepted May 28, 2010. Date of publication June 14, 2010; date of current version September 15, 2010. This work was supported in part by an Australian Research Council under Grant DP0559408 and the National Health and Medical Research Council Grant 403953. The work of G. A. Tetlow was supported by the Curtin University Postgraduate Awards Scheme. The work of P. R. Eastwood was supported by a National Health and Medical Research Council Fellowship 513704. Asterisk indicates corresponding author. *A. D. Lucey is with the Fluid Dynamics Research Group, Curtin University, Perth, WA 6845, Australia (e-mail: a.lucey@curtin.edu.au).

Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.

Keywords

  • Computational fluid dynamics
  • Image processing
  • Optical coherence tomography (OCT)
  • Sleep apnea
  • Upper airway anatomy

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