• DocumentCode
    529188
  • Title

    Severity analysis of pulmonary emphysema based on the comparison of expiratory and inspiratory states

  • Author

    Neda, Kazuaki ; Tanaka, Toshiyuki ; Shirahata, Toru ; Sugiura, Hiroaki

  • Author_Institution
    Sch. of Fundamental Sci. &, Keio Univ., Yokohama, Japan
  • fYear
    2010
  • fDate
    18-21 Aug. 2010
  • Firstpage
    585
  • Lastpage
    587
  • Abstract
    Chronic smoking increases number of pulmonary emphysema patient. It is difficult to cure pulmonary emphysema, because alveoli are destroyed. So early detection is desired. Diagnostic imaging is one method to diagnose pulmonary emphysema which is possible to make early detection. In the conventional method, only inspiratory states are used for diagnoses. In this paper, we propose a diagnose method using both expiratory and inspiratory states. With the original features, we did discriminate analyses and succeed higher accuracy than conventional method.
  • Keywords
    diseases; feature extraction; lung; medical image processing; chronic smoking; destroyed alveoli; diagnostic imaging; discriminate analysis; expiratory state; inspiratory state; pulmonary emphysema; severity analysis; Classification algorithms; Computed tomography; Diseases; Feature extraction; Histograms; Lungs; Shape; Automated diagnosis; CT image; Emphysema;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference 2010, Proceedings of
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-7642-8
  • Type

    conf

  • Filename
    5602387