Literature DB >> 34505957

Effects of the Nasal Cavity Complexity on the Pharyngeal Airway Fluid Mechanics: A Computational Study.

Hussein Aljawad1, Mario Rüttgers2, Andreas Lintermann3, Wolfgang Schroöder4, Kyungmin Clara Lee5.   

Abstract

The impact of the human nasal airway complexity on the pharyngeal airway fluid mechanics is investigated at inspiration. It is the aim to find a suitable degree of geometrical reduction that allows for an efficient segmentation of the human airways from cone-beam computed tomography images. The flow physics is simulated by a lattice Boltzmann method on high-performance computers. For two patients, the flow field through the complete upper airway is compared to results obtained from three surface variants with continuously decreasing complexity. The most complex reduced airway model includes the middle and inferior turbinates, while the moderate model only features the inferior turbinates. In the simplest model, a pipe-like artificial structure is attached to the airway. For each model, the averaged pressure is computed at different cross sections. Furthermore, the flow fields are investigated by means of averaged velocity magnitudes, in-plane velocity vectors, and streamlines. By analyzing the averaged pressure loss from the nostrils to each cross section, it is found that only the most complex reduced models are capable of approximating the pressure distribution from the original geometries. In the moderate models, the geometry reductions lead to overpredictions of the pressure loss in the pharynx. Attaching a pipe-like structure leads to a higher deceleration of the incoming flow and underpredicted pressure losses and velocities, especially in the upper part of the pharynx. Dean-like vortices are observed in the moderate and pipe-like models, since their shape comes close to a [Formula: see text]-bend elbow pipe.
© 2021. Society for Imaging Informatics in Medicine.

Entities:  

Keywords:  Air flow simulation; Airway complexity; Computational fluid dynamics; Lattice Boltzmann method

Mesh:

Year:  2021        PMID: 34505957      PMCID: PMC8554950          DOI: 10.1007/s10278-021-00501-x

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.903


  13 in total

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Authors: 
Journal:  Adv Drug Deliv Rev       Date:  1998-01-05       Impact factor: 15.470

2.  3D Slicer as an image computing platform for the Quantitative Imaging Network.

Authors:  Andriy Fedorov; Reinhard Beichel; Jayashree Kalpathy-Cramer; Julien Finet; Jean-Christophe Fillion-Robin; Sonia Pujol; Christian Bauer; Dominique Jennings; Fiona Fennessy; Milan Sonka; John Buatti; Stephen Aylward; James V Miller; Steve Pieper; Ron Kikinis
Journal:  Magn Reson Imaging       Date:  2012-07-06       Impact factor: 2.546

3.  Fluid mechanics based classification of the respiratory efficiency of several nasal cavities.

Authors:  Andreas Lintermann; Matthias Meinke; Wolfgang Schröder
Journal:  Comput Biol Med       Date:  2013-09-13       Impact factor: 4.589

4.  Fluid structure interaction simulations of the upper airway in obstructive sleep apnea patients before and after maxillomandibular advancement surgery.

Authors:  Kwang K Chang; Ki Beom Kim; Mark W McQuilling; Reza Movahed
Journal:  Am J Orthod Dentofacial Orthop       Date:  2018-06       Impact factor: 2.650

5.  Patterns in pharyngeal airflow associated with sleep-disordered breathing.

Authors:  Nelson B Powell; Mihai Mihaescu; Goutham Mylavarapu; Edward M Weaver; Christian Guilleminault; Ephraim Gutmark
Journal:  Sleep Med       Date:  2011-10-28       Impact factor: 3.492

6.  Oropharyngeal collapse predicts treatment response with oral appliance therapy in obstructive sleep apnea.

Authors:  Andrew T Ng; Jin Qian; Peter A Cistulli
Journal:  Sleep       Date:  2006-05       Impact factor: 5.849

7.  Patient-Specific Geometry Modeling and Mesh Generation for Simulating Obstructive Sleep Apnea Syndrome Cases by Maxillomandibular Advancement.

Authors:  Yasushi Ito; Gary C Cheng; Alan M Shih; Roy P Koomullil; Bharat K Soni; Somsak Sittitavornwong; Peter D Waite
Journal:  Math Comput Simul       Date:  2011-05       Impact factor: 2.463

8.  Large Eddy Simulation and Reynolds-Averaged Navier-Stokes modeling of flow in a realistic pharyngeal airway model: an investigation of obstructive sleep apnea.

Authors:  Mihai Mihaescu; Shanmugam Murugappan; Maninder Kalra; Sid Khosla; Ephraim Gutmark
Journal:  J Biomech       Date:  2008-06-02       Impact factor: 2.712

9.  Investigation of the effects of miniscrew-assisted rapid palatal expansion on airflow in the upper airway of an adult patient with obstructive sleep apnea syndrome using computational fluid-structure interaction analysis.

Authors:  Jae-Sik Hur; Hyoung-Ho Kim; Jin-Young Choi; Sang-Ho Suh; Seung-Hak Baek
Journal:  Korean J Orthod       Date:  2017-09-29       Impact factor: 1.372

10.  Use of Reference Ear Plug to improve accuracy of lateral cephalograms generated from cone-beam computed tomography scans.

Authors:  Hyeon-Shik Hwang; Kyung-Min Lee; Gi-Soo Uhm; Jin-Hyoung Cho; James A McNamara
Journal:  Korean J Orthod       Date:  2013-04-25       Impact factor: 1.372

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