Edge cross-section features for detection of appendiceal orifice appearance in colonoscopy videos

Annu Int Conf IEEE Eng Med Biol Soc. 2008:2008:3000-3. doi: 10.1109/IEMBS.2008.4649834.

Abstract

Colonoscopy is an endoscopic technique that allows a physician to inspect the inside of the human colon. The appearance of the appendiceal orifice during colonoscopy indicates a complete traversal of the colon, which is one of important quality indicators of examination of the colon. In this paper, we propose a new algorithm that detects appendix images-images showing the appendiceal orifice. We introduce new features based on geometric shape, saturation and intensity changes along the norm direction (cross-section) of an edge to discriminate appendix images. Our experimental results on real colonoscopic images show the average sensitivity and specificity of 88.12% and 94.25%, respectively.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Algorithms
  • Appendix / anatomy & histology*
  • Artificial Intelligence
  • Bayes Theorem
  • Colon / anatomy & histology*
  • Colonoscopy / methods*
  • Humans
  • Image Enhancement / methods
  • Image Interpretation, Computer-Assisted / methods*
  • Imaging, Three-Dimensional / methods*
  • Models, Statistical
  • Pattern Recognition, Automated / methods*
  • Reproducibility of Results
  • Surgery, Computer-Assisted / methods*
  • Video Recording / methods