• DocumentCode
    1657775
  • Title

    Multiresolution colonic polyp detection in CT colonography using spherical wavelets

  • Author

    Seghouane, Abd-Krim ; Ong, Ju Lynn

  • Author_Institution
    Canberra Res. Lab., Australian Nat. Univ., Canberra, ACT, Australia
  • fYear
    2009
  • Firstpage
    125
  • Lastpage
    128
  • Abstract
    The description of lesion shapes with curvature-based features is a widespread approach in polyp detection methods. These methods are motivated by the need to compactly and accurately encode the different existing shape forms on the colon wall. However, the colon wall presents a number of small convex shape that resemble polyps which increases drastically the number of false positive (FP) detected. In this paper a method based on multiresolution shape processing using the spherical wavelet transform is proposed. The method aims to reduce the number of FPs detected while preserving true positives. Simulation results illustrating the effectiveness of the method are presented.
  • Keywords
    cancer; computerised tomography; shape recognition; CT colonography; colon wall; false positive detection; lesion shape; multiresolution colonic polyp detection; multiresolution shape processing; spherical wavelets; Australia; Cancer; Colon; Colonic polyps; Computed tomography; Design automation; Shape; Virtual colonoscopy; Wavelet analysis; Wavelet transforms; Polyps detection; Spherical wavelets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on
  • Conference_Location
    Cardiff
  • Print_ISBN
    978-1-4244-2709-3
  • Electronic_ISBN
    978-1-4244-2711-6
  • Type

    conf

  • DOI
    10.1109/SSP.2009.5278624
  • Filename
    5278624