• DocumentCode
    1589365
  • Title

    Tumor Detection using Airways Asymmetry

  • Author

    Mancas, Matei ; Gosselin, Bernard ; Macq, Benoit

  • Author_Institution
    TCTS Lab, Faculte Polytech de Mons
  • fYear
    2006
  • Firstpage
    6528
  • Lastpage
    6531
  • Abstract
    A novel tumor detection technique on CT scan images of the neck area is detailed in this paper. This technique is based on an airways´ symmetry evolution within slices. The algorithm proposes to the physician a set of three slices where a tumor (if it exists) should mostly be located. Then, he will just have to browse the three slices instead of almost 100 in a CT scan. Our method is very effective and shows no false alarms within the patients in our database. In each of our tests the tumors were found to be close to one of the three proposed slices
  • Keywords
    computerised tomography; tumours; CT scan images; airways asymmetry; neck; symmetry evolution; tumor detection; Computed tomography; Earth; Gravity; Head; Humans; Image databases; Neck; Neoplasms; Testing; Tumors; abnormalities detection; asymmetry; bilateral symmetry; neck CT Scan images; tumor detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1615995
  • Filename
    1615995