Voxel-based modeling of airflow in the human nasal cavity

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Title: Voxel-based modeling of airflow in the human nasal cavity
Authors: Kimura, S
Sakamoto, T
Sera, T
Yokota, H
Ono, K
Doorly, DJ
Schroter, RC
Tanaka, G
Item Type: Journal Article
Abstract: This paper describes the simulation of airflow in human nasal airways using voxel-based modeling characterized by robust, automatic, and objective grid generation. Computed tomography scans of a healthy adult nose are used to reconstruct 3D virtual models of the nasal airways. Voxel-based simulations of restful inspiratory flow are then performed using various mesh sizes to determine the level of granularity required to adequately resolve the airflow. For meshes with close voxel spacings, the model successfully reconstructs the nasal structure and predicts the overall pressure drop through the nasal cavity.
Issue Date: 18-Feb-2019
Date of Acceptance: 30-Nov-2018
URI: http://hdl.handle.net/10044/1/67251
DOI: https://dx.doi.org/10.1080/10255842.2018.1555584
ISSN: 1025-5842
Publisher: Taylor & Francis
Journal / Book Title: Computer Methods in Biomechanics and Biomedical Engineering
Copyright Statement: © 2018 Taylor & Francis. This is an Accepted Manuscript of an article published by Taylor & Francis in Computer Methods in Biomechanics and Biomedical Engineering on 18th Feb 2019, available online: https://dx.doi.org/10.1080/10255842.2018.1555584
Sponsor/Funder: Biotechnology and Biological Sciences Research Council (BBSRC)
Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: BB/E023444/1
Keywords: Computational fluid dynamics
human nasal cavity
voxel-based simulation
0903 Biomedical Engineering
1105 Dentistry
Biomedical Engineering
Publication Status: Published online
Conference Place: England
Embargo Date: 2020-02-18
Online Publication Date: 2019-02-18
Appears in Collections:Faculty of Engineering

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