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基于体素的人体鼻腔气流建模。

Voxel-based modeling of airflow in the human nasal cavity.

作者信息

Kimura Shinya, Sakamoto Takashi, Sera Toshihiro, Yokota Hideo, Ono Kenji, Doorly Denis J, Schroter Robert C, Tanaka Gaku

机构信息

a Graduate School of Engineering , Chiba University , Chiba , Japan.

b Department of Mechanical Engineering , Kyushu University , Fukuoka , Japan.

出版信息

Comput Methods Biomech Biomed Engin. 2019 Feb;22(3):331-339. doi: 10.1080/10255842.2018.1555584. Epub 2019 Feb 18.

DOI:10.1080/10255842.2018.1555584
PMID:30773052
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.

摘要

本文描述了使用基于体素的建模方法对人类鼻腔气道中的气流进行模拟,该方法具有稳健、自动和客观的网格生成特点。使用健康成人鼻子的计算机断层扫描来重建鼻腔气道的三维虚拟模型。然后使用各种网格尺寸对安静吸气气流进行基于体素的模拟,以确定充分解析气流所需的粒度水平。对于体素间距较小的网格,该模型成功地重建了鼻腔结构并预测了通过鼻腔的总压降。

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