Edge displacement field-based classification for improved detection of polyps in CT colonography.

Published

Journal Article

Colorectal cancer can easily be prevented provided that the precursors to tumors, small colonic polyps, are detected and removed. Currently, the only definitive examination of the colon is fiber-optic colonoscopy, which is invasive and expensive. Computed tomographic colonography (CTC) is potentially a less costly and less invasive alternative to FOC. It would be desirable to have computer-aided detection (CAD) algorithms to examine the large amount of data CTC provides. Most current CAD algorithms have high false positive rates at the required sensitivity levels. We developed and evaluated a postprocessing algorithm to decrease the false positive rate of such a CAD method without sacrificing sensitivity. Our method attempts to model the way a radiologist recognizes a polyp while scrolling a cross-sectional plane through three-dimensional computed tomography data by classification of the changes in the location of the edges in the two-dimensional plane. We performed a tenfold cross-validation study to assess its performance using sensitivity/specificity analysis on data from 48 patients. The mean specificity over all experiments increased from 0.19 (0.35) to 0.47 (0.56) for a sensitivity of 1.00 (0.95).

Full Text

Duke Authors

Cited Authors

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

Published Date

  • December 2002

Published In

Volume / Issue

  • 21 / 12

Start / End Page

  • 1461 - 1467

PubMed ID

  • 12588030

Pubmed Central ID

  • 12588030

Electronic International Standard Serial Number (EISSN)

  • 1558-254X

International Standard Serial Number (ISSN)

  • 0278-0062

Digital Object Identifier (DOI)

  • 10.1109/tmi.2002.806405

Language

  • eng