• DocumentCode
    2807327
  • Title

    Computer-aided detection of colorectal lesions for cathartic-free CT colonography

  • Author

    Näppi, J. ; Cai, W. ; Yoshida, H.

  • Author_Institution
    Dept. of Radiol., Massachusetts Gen. Hosp. & Harvard Med. Sch., Boston, MA, USA
  • fYear
    2009
  • fDate
    June 28 2009-July 1 2009
  • Firstpage
    911
  • Lastpage
    914
  • Abstract
    Cathartic bowel preparation is a major barrier in implementing clinically feasible colorectal screening programs. We developed a fully automated computer-aided detection (CAD) scheme for a cathartic-free computed tomographic colonography (CTC) examination. In a pilot evaluation with 46 clinical cathartic-free CTC cases, the proposed scheme detected 100% (4/4) of large ges10 mm lesions with 3.7 false-positive (FP) detections per patient (per two volumetric CT scans) and 90% (9/10) of ges6 mm lesions with 5.0 FP detections per patient, on average. The results indicate that CAD can be used to detect clinically significant lesions with high accuracy in cathartic-free CTC examinations.
  • Keywords
    biological organs; cancer; computerised tomography; diagnostic radiography; medical image processing; object detection; tumours; X-ray tomography; automated computer-aided detection; biomedical image processing; cathartic bowel preparation; cathartic-free CT colonography; colorectal lesion; colorectal screening program; computed tomographic colonography; false-positive detection; object detection; Biomedical imaging; Cancer; Colonic polyps; Colonography; Computed tomography; Hospitals; Lesions; Solids; Tagging; Virtual colonoscopy; biomedical image processing; cancer; computer aided analysis; object detection; x-ray tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
  • Conference_Location
    Boston, MA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-3931-7
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2009.5193201
  • Filename
    5193201