| Patient-Specific Geometry Modeling and Mesh Generation for Simulating Obstructive Sleep Apnea Syndrome Cases by Maxillomandibular Advancement. | |
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MedLine Citation:
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PMID: 21625395 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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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. |
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Authors:
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Yasushi Ito; Gary C Cheng; Alan M Shih; Roy P Koomullil; Bharat K Soni; Somsak Sittitavornwong; Peter D Waite |
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Publication Detail:
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Type: JOURNAL ARTICLE |
Journal Detail:
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Title: Mathematics and computers in simulation Volume: 81 ISSN: 0378-4754 ISO Abbreviation: - Publication Date: 2011 May |
Date Detail:
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Created Date: 2011-5-31 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 100971341 Medline TA: Math Comput Simul Country: - |
Other Details:
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Languages: ENG Pagination: 1876-1891 Citation Subset: - |
Affiliation:
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Department of Mechanical Engineering, University of Alabama at Birmingham, USA. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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| Grant Support | |
ID/Acronym/Agency:
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R21 DE017613-02//NIDCR NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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