Using optical flow fields for Polyp detection in virtual colonoscopy

Published

Conference Paper

© Springer-Verlag Berlin Heidelberg 2001. Since the introduction of Computed Tomographic Colonography (CTC), research has mainly focused on visualization and navigation techniques. Recently, efforts have shifted towards computer aided detection (CAD) of polyps. We propose a new approach to CAD in CT images that attempts to model the way a radiologist recognizes a polyp using optical flow fields (OFF). Features extracted from OFFs are used by a linear classifier for polyp detection. An initial validation of our technique resulted in an average of 75% specificity at 100% sensitivity in a 10-fold cross validation study on a set of 220 polyp-like structures, 20 of which were true polyps.

Full Text

Duke Authors

Cited Authors

  • Acar, B; Napel, S; Paik, D; G Ö Ktürk, B; Tomasi, C; Beaulieu, CF

Published Date

  • January 1, 2001

Published In

Volume / Issue

  • 2208 /

Start / End Page

  • 637 - 644

Electronic International Standard Serial Number (EISSN)

  • 1611-3349

International Standard Serial Number (ISSN)

  • 0302-9743

International Standard Book Number 10 (ISBN-10)

  • 3540426973

International Standard Book Number 13 (ISBN-13)

  • 9783540454687

Digital Object Identifier (DOI)

  • 10.1007/3-540-45468-3_77

Citation Source

  • Scopus