• DocumentCode
    1459415
  • Title

    Pulmonary organs analysis for differential diagnosis based on thoracic thin-section CT images

  • Author

    Tozaki, T. ; Kawata, Y. ; Niki, N. ; Ohmatsu, H. ; Kakinuma, R. ; Eguchi, K. ; Kaneko, M. ; Moriyama, N.

  • Author_Institution
    Dept. of Opt. Sci., Tokushima Univ., Japan
  • Volume
    45
  • Issue
    6
  • fYear
    1998
  • fDate
    12/1/1998 12:00:00 AM
  • Firstpage
    3075
  • Lastpage
    3082
  • Abstract
    The pulmonary organs have a very complicated structure which consists of the bronchus, the pulmonary artery, and the pulmonary vein. So it is difficult for a medical doctor to understand the spatial relationships among a tumor and the pulmonary organs. Here, the authors present a 3D image analysis method of the pulmonary organs based on thin-section CT images. First, they extract the regions of interest using Gaussian curvature and mean curvature of lung field, then they classify the bronchus and the blood vessels, and they conclude with the identification of the pulmonary artery and the pulmonary vein. The authors use this method to support a differential diagnosis of lung cancer by making quantitative analysis of abnormal nodules
  • Keywords
    blood vessels; cancer; computerised tomography; image classification; lung; medical image processing; tumours; Gaussian curvature; abnormal nodules; bronchus; differential diagnosis; lung cancer; medical diagnostic imaging; pulmonary artery; pulmonary organs analysis; pulmonary vein; regions of interest extraction; thoracic thin-section CT images; Arteries; Biomedical imaging; Blood vessels; Cancer; Computed tomography; Image analysis; Lungs; Medical diagnostic imaging; Neoplasms; Veins;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/23.737667
  • Filename
    737667