Voxel-based modeling of airflow in the human nasal cavity
File(s)
Accepted version
Author(s)
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.
Date Issued
2019-02-17
Date Acceptance
2018-11-30
Citation
Computer Methods in Biomechanics and Biomedical Engineering, 2019, 22 (3), pp.331-339
ISSN
1025-5842
Publisher
Taylor & Francis
Start Page
331
End Page
339
Journal / Book Title
Computer Methods in Biomechanics and Biomedical Engineering
Volume
22
Issue
3
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
Biotechnology and Biological Sciences Research Council (BBSRC)
Engineering & Physical Science Research Council (EPSRC)
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/30773052
Grant Number
BB/E023444/1
N/A
Subjects
Computational fluid dynamics
human nasal cavity
voxel-based simulation
Publication Status
Published
Coverage Spatial
England
Date Publish Online
2019-02-18