画像診断支援を目指した肺CTボクセルイメージに基づく気流シミュレーション

DOI

書誌事項

タイトル別名
  • Voxel Image-based Simulation of Pulmonary Airflow for an Advance in Medical Image Diagnosis

抄録

Medical imaging methods are generally used to diagnostics of respiratory diseases. The information of detailed lung morphology has been available by high-resolution CT images. Although, the CT images can show the structure of lung, there is no system to estimate the function of lung from image quantitatively. In this study, we simulated the pulmonary airflow based on the numerical calculation of 3-D fluid dynamics using CT image based voxel data. To derive the pressure and velocity profiles in the bronchi, we used the SMAC method with QUICK scheme. The area of fluid was defined as bronchi having the diameter larger than 1.5 mm (three times of the voxel size). Calculated results showed that the pressure gradient became large at the bronchial generation larger than 3rd. This behavior was consistent with 1-D analytical estimation. We could also reproduce the difference of pressure along each airway and the time-dependent behavior of airflow. The method of this study can provide the important therapeutic information of respiratory diseases.

収録刊行物

キーワード

詳細情報 詳細情報について

  • CRID
    1390282680275942912
  • NII論文ID
    130004544030
  • DOI
    10.11308/tjsst.1.74
  • ISSN
    18835058
    18835031
  • 本文言語コード
    en
  • データソース種別
    • JaLC
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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