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Computer Methods in Biomechanics and Biomedical Engineering Volume 22, 2019 - Issue 3
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Articles

Voxel-based modeling of airflow in the human nasal cavity

Shinya KimuraGraduate School of Engineering, Chiba University, Chiba, Japan; Correspondence[email protected]
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,
Takashi SakamotoGraduate School of Engineering, Chiba University, Chiba, Japan; View further author information
,
Toshihiro SeraDepartment of Mechanical Engineering, Kyushu University, Fukuoka, Japan; View further author information
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Hideo YokotaImage Processing Research Team, RIKEN Center for Advanced Photonics, Saitama, Japan; View further author information
,
Kenji OnoInterdisciplinary Computational Science Section, Research Institute for Information Technology, Kyushu University, Fukuoka, Japan; View further author information
,
Denis J. DoorlyDepartment of Aeronautics, Imperial College London, London, UK; View further author information
,
Robert C. SchroterDepartment of Bioengineering, Imperial College London, London, UKView further author information
&
Gaku TanakaGraduate School of Engineering, Chiba University, Chiba, Japan; View further author information
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Pages 331-339 | Received 11 Jan 2018, Accepted 30 Nov 2018, Published online: 18 Feb 2019
 
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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.

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Funding

The present study was supported by JSPS KAKENHI Grant Number 26630059 and JSPS Bilateral Program. This research used computational resources of the K computer provided by the RIKEN Advanced Institute for Computational Science through the HPCI System Research project (Project ID:hp160186).

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