• DocumentCode
    2813822
  • 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. ; Kaneko, M. ; Eguchi, K. ; Moriyama, N.

  • Author_Institution
    Dept. of Opt. Sci., Tokushima Univ., Japan
  • Volume
    2
  • fYear
    1997
  • fDate
    9-15 Nov 1997
  • Firstpage
    1332
  • Abstract
    The pulmonary organs have a very complicated structure which consists of the bronchus, the pulmonary artery, and the pulmonary vein. So it can be difficult for a even medical doctor to understand the spatial relationships among the tumor and the pulmonary organs. Here, the authors present a 3D image analysis method of the pulmonary organs using thin-section CT images, and they apply this system to determine the malignant or benign nature of the abnormal module. This system consists of two steps. The first step is the analysis of the pulmonary structure, and the second step is the quantitative analysis of the spatial relationship among the classified pulmonary organs and the abnormal nodule for the differential diagnosis of the lung cancer
  • Keywords
    computerised tomography; lung; medical image processing; abnormal nodule; benign nature; bronchus; differential diagnosis; lung cancer; malignant nature; medical diagnostic imaging; pulmonary artery; pulmonary organs analysis; pulmonary vein; spatial relationships; thoracic thin-section CT images; tumor; Arteries; Biomedical imaging; Biomedical optical imaging; Cancer; Computed tomography; Hospitals; Image analysis; Lung neoplasms; Marine vehicles; Veins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium, 1997. IEEE
  • Conference_Location
    Albuquerque, NM
  • ISSN
    1082-3654
  • Print_ISBN
    0-7803-4258-5
  • Type

    conf

  • DOI
    10.1109/NSSMIC.1997.670567
  • Filename
    670567