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

Publication ,  Journal Article
Acar, B; Beaulieu, CF; Göktürk, SB; Tomasi, C; Paik, DS; Jeffrey, RB; Yee, J; Napel, S
Published in: IEEE transactions on medical imaging
December 2002

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).

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Published In

IEEE transactions on medical imaging

DOI

EISSN

1558-254X

ISSN

0278-0062

Publication Date

December 2002

Volume

21

Issue

12

Start / End Page

1461 / 1467

Related Subject Headings

  • Sensitivity and Specificity
  • Reproducibility of Results
  • Radiographic Image Interpretation, Computer-Assisted
  • Radiographic Image Enhancement
  • Quality Control
  • Pattern Recognition, Automated
  • Observer Variation
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Male
 

Citation

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Acar, B., Beaulieu, C. F., Göktürk, S. B., Tomasi, C., Paik, D. S., Jeffrey, R. B., … Napel, S. (2002). Edge displacement field-based classification for improved detection of polyps in CT colonography. IEEE Transactions on Medical Imaging, 21(12), 1461–1467. https://doi.org/10.1109/tmi.2002.806405
Acar, Burak, Christopher F. Beaulieu, Salih B. Göktürk, Carlo Tomasi, David S. Paik, R Brooke Jeffrey, Judy Yee, and Sandy Napel. “Edge displacement field-based classification for improved detection of polyps in CT colonography.IEEE Transactions on Medical Imaging 21, no. 12 (December 2002): 1461–67. https://doi.org/10.1109/tmi.2002.806405.
Acar B, Beaulieu CF, Göktürk SB, Tomasi C, Paik DS, Jeffrey RB, et al. Edge displacement field-based classification for improved detection of polyps in CT colonography. IEEE transactions on medical imaging. 2002 Dec;21(12):1461–7.
Acar, Burak, et al. “Edge displacement field-based classification for improved detection of polyps in CT colonography.IEEE Transactions on Medical Imaging, vol. 21, no. 12, Dec. 2002, pp. 1461–67. Epmc, doi:10.1109/tmi.2002.806405.
Acar B, Beaulieu CF, Göktürk SB, Tomasi C, Paik DS, Jeffrey RB, Yee J, Napel S. Edge displacement field-based classification for improved detection of polyps in CT colonography. IEEE transactions on medical imaging. 2002 Dec;21(12):1461–1467.

Published In

IEEE transactions on medical imaging

DOI

EISSN

1558-254X

ISSN

0278-0062

Publication Date

December 2002

Volume

21

Issue

12

Start / End Page

1461 / 1467

Related Subject Headings

  • Sensitivity and Specificity
  • Reproducibility of Results
  • Radiographic Image Interpretation, Computer-Assisted
  • Radiographic Image Enhancement
  • Quality Control
  • Pattern Recognition, Automated
  • Observer Variation
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Male