鼻腔内熱流動ボクセル解析における横断面医療画像二次元補間の有効性

磯部 光基, 木村 祐介, 木村 真也, 世良 俊博, 横田 秀夫, 小野 謙二, 田中 学

    研究成果: Contribution to journalArticle査読

    抄録

    Nasal air flow and temperature were analyzed using a voxel model constructed directly from medical images. The nasal cavities of a healthy male were reconstructed using CT slices in the axial direction at an image resolution of 0.488 mm/pixel and a slice interval of 0.40 mm. The rough surfaces in the image, which were caused by the resolution, were smoothed using a bilinear interpolation algorithm. A voxel-based simulation of inspiratory flow was then performed with a voxel pitch of 0.20 mm. With an interpolation image resolution of 0.163 mm//pixel, the voxel model successfully simulated an overall pressure drop and airflow temperature to the same extent as the conventional boundary-fitted model.
    寄稿の翻訳タイトルEffectiveness of Two-dimensional Medical Image Interpolation in the Transverse Plane in the Voxel Analysis of Nasal Air Flow and Temperature
    本文言語日本語
    ページ(範囲)160-167
    ページ数8
    ジャーナルBME = Bio medical engineering / henshu, Nihon ME Gakkai
    53
    3
    DOI
    出版ステータス出版済み - 2015

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