• DocumentCode
    1989037
  • Title

    Rib suppression in frontal chest radiographs: A blind source separation approach

  • Author

    Rasheed, Tahir ; Ahmed, Bilal ; Khan, M.A.U. ; Bettayeb, Maamar ; Lee, Sungyoung ; Kim, Tae-Seong

  • Author_Institution
    Dept. of Comput. Eng., Kyung Hee Univ., Seoul
  • fYear
    2007
  • fDate
    12-15 Feb. 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Chest radiographs play an important role in the diagnosis of lung cancer. Detection of pulmonary nodules in chest radiographs forms the basis of early detection. Due to its sparse bone structure and overlapping of the nodule with ribs and clavicles the nodule is difficult to detect in conventional chest radiographs. We present a technique based on independent component analysis (ICA) for the suppression of posterior ribs and clavicles which will enhance the visibility of the nodules and aid the radiologist in diagnosis.
  • Keywords
    blind source separation; cancer; diagnostic radiography; independent component analysis; medical image processing; tumours; blind source separation; frontal chest radiograph; independent component analysis; pulmonary nodule; rib suppression; sparse bone structure; Artificial neural networks; Biomedical computing; Biomedical engineering; Blind source separation; Cancer; Computed tomography; Diagnostic radiography; Independent component analysis; Lungs; Ribs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on
  • Conference_Location
    Sharjah
  • Print_ISBN
    978-1-4244-0778-1
  • Electronic_ISBN
    978-1-4244-1779-8
  • Type

    conf

  • DOI
    10.1109/ISSPA.2007.4555516
  • Filename
    4555516