Voxel-based modeling of airflow in the human nasal cavity

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

    Research output: Contribution to journalArticlepeer-review

    2 Citations (Scopus)

    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.

    Original languageEnglish
    Pages (from-to)331-339
    Number of pages9
    JournalComputer Methods in Biomechanics and Biomedical Engineering
    Volume22
    Issue number3
    DOIs
    Publication statusPublished - Feb 17 2019

    All Science Journal Classification (ASJC) codes

    • Bioengineering
    • Biomedical Engineering
    • Human-Computer Interaction
    • Computer Science Applications

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