Teniae coli guided navigation and registration for virtual colonoscopy

Adam Huang, Dave Roy, Marek Franaszek, Ronald M. Summers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

33 Scopus citations


We present a new method for guiding virtual colonoscopic navigation and registration by using teniae coli as anatomical landmarks. As most existing protocols require a patient to be scanned in both supine and prone positions to increase sensitivity in detecting colonic polyps, reference and registration between scans are necessary. However, the conventional centerline approach, generating only the longitudinal distance along the colon, lacks the necessary orientation information to synchronize the virtual navigation cameras in both scanned positions. In this paper we describe a semi-automatic method to detect teniae coli from a colonic surface model reconstructed from CT colonography. Teniae coli are three bands of longitudinal smooth muscle on the surface of the colon. They form a triple helix structure from the appendix to the sigmoid colon and are ideal references for virtual navigation. Our method was applied to 3 patients resulting in 6 data sets (supine and prone scans). The detected teniae coli matched well with our visual inspection. In addition, we demonstrate that polyps visible on both scans can be located and matched more efficiently with the aid of a teniae coli guided navigation implementation.

Original languageEnglish (US)
Title of host publicationVIS 05
Subtitle of host publicationIEEE Visualization 2005, Proceedings
Number of pages1
StatePublished - 2005
Externally publishedYes
EventVIS 05: IEEE Visualization 2005, Proceedings - Minneapolis, MN, United States
Duration: Oct 23 2005Oct 28 2005

Publication series

NameProceedings of the IEEE Visualization Conference


ConferenceVIS 05: IEEE Visualization 2005, Proceedings
Country/TerritoryUnited States
CityMinneapolis, MN


  • CT colonography
  • Camera control
  • Colon flattening
  • Computer-aided diagnosis
  • Parameterization
  • Virtual colonoscopy
  • Virtual endoscopy

ASJC Scopus subject areas

  • Software
  • Computer Science(all)
  • Engineering(all)
  • Computer Graphics and Computer-Aided Design


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