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


Journal Article

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.

Duke Authors

Cited Authors

  • Acar, B; Beaulieu, CF; Paik, DS; Göktürk, SB; Tomasi, C; Yee, J; Napel, S

Published Date

  • December 1, 2001

Published In

Volume / Issue

  • 3 /

Start / End Page

  • 2774 - 2777

International Standard Serial Number (ISSN)

  • 0454-9244

Citation Source

  • Scopus