Advertisement

Improved Colon Navigation for Efficient Polyp Detection in Virtual Colonoscopy

  • Marwa Ismail
  • Aly Farag
  • M. Sabry Hassouna
  • Gerald Dryden
  • Robert Falk
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8198)

Abstract

Colon cancer is a leading cause of death in the world and its early diagnosis highly increases the chances of survival. Virtual colonoscopy is a widely spreading technology that is used for polyp detection, the primary cause of colon cancer. This paper revisits an existing virtual colonoscopy technique, called Fly-over. It splits the colon into two halves along its centerline and assigns a camera to each half for navigation. While cutting the colon along its centerline increases the possibility of having missed polyps, the technique is re-visited here and the cutting framework is changed, which improved the rate of detection. Clinical validation was assessed by testing the navigation technique on several cases of real and synthetic challenging polyps versus other techniques. Fly-over technique provides efficient polyp detection of up to 100% with the least distortion rate.

Keywords

Colonoscopy fly-through fly-over polyps normal distortion centerline rotation 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Abbruzzese, J., Pollock, R.: Gastrointestinal Cancer. Springer (2004)Google Scholar
  2. 2.
    Buthiau, D., Khayat, D.: Virtual Endoscopy. Springer (2003)Google Scholar
  3. 3.
    Bouix, S., Siddiqi, K., Tannenbaum, A.: Flux Driven Fly Throughs. In: Proc. of IEEE CVPR 2003, pp. 449–454 (2003)Google Scholar
  4. 4.
    Pickhardt, P.J., Taylor, A.J., Gopal, D.V.: Surface Visualization at 3D Endoluminal CT Colonography: Degree of Coverage and Implications for Polyp Detection. Gastroenterology 130, 1582–1587 (2006)CrossRefGoogle Scholar
  5. 5.
    Hong, W., Gu, X., Qiu, F., Jin, M., Kaufman, A.: Conformal Virtual Colon Flattening. In: Proc. of ACM Symposium on SPM 2006, pp. 85–93 (2006)Google Scholar
  6. 6.
    Lee, S.S., Park, S.H., Kim, J.K., Kim, N., Lee, J., Park, B.J., Kim, Y.J., Kim, A.Y., Ha, H.K.: Panoramic Endoluminal Display with Minimal Image Distortion Using Circumferential Radial Ray-Casting for Primary Three-Dimensional Interpretation of CT Colonography. Eur. Radiol. 19, 1951–1959 (2009)CrossRefGoogle Scholar
  7. 7.
    Hassouna, M.S., Farag, A.A., Falk, R.: Virtual Fly-Over: A New Visualization Technique for Virtual Colonoscopy. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol. 4190, pp. 381–388. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  8. 8.
    Ismail, M., Elhabian, S., Farag, A., Dryden, G., Seow, A.: Fully Automated 3D Colon Segmentation for Early Detection of Colorectal Cancer Based on Convex Formulation of the Active Contour Model. In: Proc. of IEEE CVPRW 2012, pp. 58–63 (2012)Google Scholar
  9. 9.
    Hassouna, M.S., Farag, A.A.: Accurate Tracking of Monotonically Advanced Fronts. In: Proc. of IEEE CVPR 2006, pp. 355–362 (2006)Google Scholar
  10. 10.
    Lorensen, W.E., Cline, H.E.: Marching Cubes: a High Resolution 3D Surface Construction Algorithm. SIGGRAPH Comput. Graph. 21, 163–169 (1987)CrossRefGoogle Scholar
  11. 11.
    Ismail, M., Elhabian, S., Farag, A., Dryden, G., Seow, A.: 3D Automated Colon Segmentation for Efficient Polyp Detection. In: Proc. of Cairo International Conference on Biomedical Engineering (CIBEC), pp. 48–51 (2012)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Marwa Ismail
    • 1
  • Aly Farag
    • 1
  • M. Sabry Hassouna
    • 2
  • Gerald Dryden
    • 3
  • Robert Falk
    • 4
  1. 1.CVIP LabUniversity of LouisvilleLouisvilleUSA
  2. 2.Vital Images, Opus PkwyMinneapolisUSA
  3. 3.Division of Gastroenterology/ HepatologyUniversity of LouisvilleUSA
  4. 4.Medical ImagingJewish HospitalLouisvilleUSA

Personalised recommendations