Patient-specific geometry modeling and mesh generation for simulating Obstructive Sleep Apnea Syndrome cases by Maxillomandibular Advancement

Yasushi Ito, Gary C. Cheng, Alan M. Shih, Roy P. Koomullil, Bharat K. Soni, Somsak Sittitavornwong and Peter D. Waite

Mathematics and Computers in Simulation (MATCOM), 2011, vol. 81, issue 9, 1876-1891

Abstract: The objective of this paper is the reconstruction of upper airway geometric models as hybrid meshes from clinically used Computed Tomography (CT) data sets in order to understand the dynamics and behaviors of the pre- and postoperative upper airway systems of Obstructive Sleep Apnea Syndrome (OSAS) patients by viscous Computational Fluid Dynamics (CFD) simulations. The selection criteria for OSAS cases studied are discussed because two reasonable pre- and postoperative upper airway models for CFD simulations may not be created for every case without a special protocol for CT scanning. The geometry extraction and manipulation methods are presented with technical barriers that must be overcome so that they can be used along with computational simulation software as a daily clinical evaluation tool. Eight cases are presented in this paper, and each case consists of pre- and postoperative configurations. The results of computational simulations of two cases are included in this paper as demonstration.

Keywords: Image processing; Mesh generation; Computational Fluid Dynamics (CFD); Computed Tomography (CT); Obstructive Sleep Apnea Syndrome (OSAS); Maxillomandibular Advancement (MMA) (search for similar items in EconPapers)
Date: 2011
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:81:y:2011:i:9:p:1876-1891

DOI: 10.1016/j.matcom.2011.02.006

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