• DocumentCode
    1678249
  • Title

    3D image analysis of lung area using thin slice CT images

  • Author

    Tozaki, Tetsuya ; Kawata, Yoshiki ; Niki, Noboru ; Ohmatsu, Hironobu ; Eguchi, Kenji ; Moriyama, Noriyuki

  • Author_Institution
    Dept. of Inf. Sci., Tokushima Univ., Japan
  • Volume
    3
  • fYear
    1995
  • Firstpage
    1592
  • Abstract
    The lung area has very complicated structure which consists of the bronchus, the pulmonary artery, and the pulmonary vein. So it is difficult for even a medical doctor to understand the spatial relationships between the tumor, the bronchus, and the blood vessels. Here the authors present a 3D image analysis method for lung areas using thin slice CT images, and they apply this system to the differential diagnosis of malignant and benign tumors. This system involves two steps. The first step is the analysis of the structure of the lung area, and the second step is the visualization of classified pulmonary organs for quantitative analysis
  • Keywords
    computerised tomography; lung; medical image processing; 3D image analysis; benign tumors; blood vessels; bronchus; classified pulmonary organs; differential diagnosis; lung area; malignant tumors; medical diagnostic imaging; medical doctor; pulmonary artery; pulmonary vein; quantitative analysis; spatial relationship; thin slice CT images; Arteries; Biomedical imaging; Blood vessels; Cancer; Computed tomography; Image analysis; Lungs; Medical diagnostic imaging; Neoplasms; Veins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium and Medical Imaging Conference Record, 1995., 1995 IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-3180-X
  • Type

    conf

  • DOI
    10.1109/NSSMIC.1995.500331
  • Filename
    500331