• DocumentCode
    2272285
  • Title

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

  • Author

    Persak, Steven C. ; Sin, Sanghun ; Arens, Raanan ; Wootton, David M.

  • Author_Institution
    Dept. of Mech. Eng., Cooper Union, New York, NY, USA
  • fYear
    2010
  • fDate
    26-28 March 2010
  • Firstpage
    1
  • Lastpage
    2
  • 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.
  • Keywords
    biomechanics; biomedical MRI; computational fluid dynamics; medical disorders; mesh generation; pneumodynamics; 3D CFD analysis; OSAS; airway collapsibility; computational fluid dynamics; deforming airway; inspiratory cycle; magnetic resonance imaging; minimum inspiratory pressure; nasal resistance; obstructive sleep apnea syndrome; pharyngeal resistance; pressure distribution; surface mesh; tidal breathing; tissue mechanics; turbulence kinetic energy; upper airway; volume mesh; volume-gated MRI; Computational fluid dynamics; Computational modeling; Data mining; Fluid flow control; Image segmentation; Magnetic analysis; Magnetic resonance; Magnetic resonance imaging; Performance analysis; Sleep apnea;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference, Proceedings of the 2010 IEEE 36th Annual Northeast
  • Conference_Location
    New York, NY
  • Print_ISBN
    978-1-4244-6879-9
  • Type

    conf

  • DOI
    10.1109/NEBC.2010.5458124
  • Filename
    5458124