• DocumentCode
    3348615
  • Title

    Improved method for predicting polyp location from CT colonography for optical colonoscopy

  • Author

    Chang, Kevin W. ; Liu, Jiamin ; Yao, Jianhua ; Summers, Ronald M.

  • Author_Institution
    Radiol. & Imaging Sci. Dept., Nat. Institutes of Health, Bethesda, MD, USA
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    4365
  • Lastpage
    4368
  • Abstract
    The ability to accurately locate a polyp found on computed tomographic colonography (CTC) at subsequent optical colonoscopy (OC) is an important part of CTC for colorectal cancer screening. A previous study has shown that a polyp´s normalized distance along the colon centerline (NDACC) derived from CTC data can be utilized to predict its location at OC. We present a novel and automated method using a high degree uniform B-Spline curve fitting of the colon centerline on CTC to simulate OC colonoscope paths in order to more accurately predict polyp position. This evaluation is to determine whether the B-Spline method produces statistically significant improvement over the NDACC method in terms of prediction errors within 5 and 10 cm (± 1 colonoscope mark). Two-tailed Fisher´s Exact Tests indicate the B-Spline method is superior to the NDACC method, especially for locating polyps in the central portion of the colon. The ability to predict polyp locations within 5 and 10 cm increased 31.5 % and 10.2 % respectively using the B-Spline method.
  • Keywords
    cancer; computerised tomography; curve fitting; medical image processing; splines (mathematics); B-spline method; CTC; NDACC method; colorectal cancer screening; computed tomographic colonography; curve fitting; normalized distance along the colon centerline; optical colonoscopy; polyp location prediction; Cancer; Colon; Colonography; Computed tomography; Curve fitting; Fitting; Spline; B-Spline; CT colonography; Centerline Fitting; Optical colonoscopy; Polyp Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5652341
  • Filename
    5652341