Assessment of an optical flow field-based polyp detector for CT colonography

B. Acar, C. F. Beaulieu, D. S. Paik, S. B. Göktürk, C. Tomasi, J. Yee, S. Napel

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


Most current computer-aided detection (CAD) algorithms for the fully automatic detection of colonic polyps from 3D CT data suffer from high false positive rates. We developed and evaluated a post-processing algorithm to decrease the false positive rate of such a method. Our method attempts to model the way a radiologist recognizes a polyp while scrolling a cross-sectional plane through 3D CT data by quantifying the change in location of the edges in 2D plane. It uses a classifier for identification based on the Mahalanobis distance. The new method increased the ROC curve area from 0.89 to 0.98 (an increase from 34.5% to 85.0% in specificity for 100% sensitivity) in a population of 8 patients.

Original languageEnglish (US)
Pages (from-to)2774-2777
Number of pages4
JournalAnnual Reports of the Research Reactor Institute, Kyoto University
StatePublished - Dec 1 2001
Externally publishedYes
Event23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey
Duration: Oct 25 2001Oct 28 2001


  • CAD
  • Computed tomographic colonography
  • Optical flow fields
  • Polyp detection
  • Virtual colonoscopy

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Mechanical Engineering


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