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A statistical 3-D pattern processing method for computer-aided detection of polyps in CT colonography.

Publication ,  Journal Article
Göktürk, SB; Tomasi, C; Acar, B; Beaulieu, CF; Paik, DS; Jeffrey, RB; Yee, J; Napel, S
Published in: IEEE transactions on medical imaging
December 2001

Adenomatous polyps in the colon are believed to be the precursor to colorectal carcinoma, the second leading cause of cancer deaths in United States. In this paper, we propose a new method for computer-aided detection of polyps in computed tomography (CT) colonography (virtual colonoscopy), a technique in which polyps are imaged along the wall of the air-inflated, cleansed colon with X-ray CT. Initial work with computer aided detection has shown high sensitivity, but at a cost of too many false positives. We present a statistical approach that uses support vector machines to distinguish the differentiating characteristics of polyps and healthy tissue, and uses this information for the classification of the new cases. One of the main contributions of the paper is the new three-dimensional pattern processing approach, called random orthogonal shape sections method, which combines the information from many random images to generate reliable signatures of shape. The input to the proposed system is a collection of volume data from candidate polyps obtained by a high-sensitivity, low-specificity system that we developed previously. The results of our ten-fold cross-validation experiments show that, on the average, the system increases the specificity from 0.19 (0.35) to 0.69 (0.74) at a sensitivity level of 1.0 (0.95).

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Published In

IEEE transactions on medical imaging

DOI

EISSN

1558-254X

ISSN

0278-0062

Publication Date

December 2001

Volume

20

Issue

12

Start / End Page

1251 / 1260

Related Subject Headings

  • Tomography, X-Ray Computed
  • Sensitivity and Specificity
  • Reproducibility of Results
  • Radiographic Image Interpretation, Computer-Assisted
  • ROC Curve
  • Pattern Recognition, Automated
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Male
  • Imaging, Three-Dimensional
 

Citation

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Göktürk, S. B., Tomasi, C., Acar, B., Beaulieu, C. F., Paik, D. S., Jeffrey, R. B., … Napel, S. (2001). A statistical 3-D pattern processing method for computer-aided detection of polyps in CT colonography. IEEE Transactions on Medical Imaging, 20(12), 1251–1260. https://doi.org/10.1109/42.974920
Göktürk, S. B., C. Tomasi, B. Acar, C. F. Beaulieu, D. S. Paik, R. B. Jeffrey, J. Yee, and S. Napel. “A statistical 3-D pattern processing method for computer-aided detection of polyps in CT colonography.IEEE Transactions on Medical Imaging 20, no. 12 (December 2001): 1251–60. https://doi.org/10.1109/42.974920.
Göktürk SB, Tomasi C, Acar B, Beaulieu CF, Paik DS, Jeffrey RB, et al. A statistical 3-D pattern processing method for computer-aided detection of polyps in CT colonography. IEEE transactions on medical imaging. 2001 Dec;20(12):1251–60.
Göktürk, S. B., et al. “A statistical 3-D pattern processing method for computer-aided detection of polyps in CT colonography.IEEE Transactions on Medical Imaging, vol. 20, no. 12, Dec. 2001, pp. 1251–60. Epmc, doi:10.1109/42.974920.
Göktürk SB, Tomasi C, Acar B, Beaulieu CF, Paik DS, Jeffrey RB, Yee J, Napel S. A statistical 3-D pattern processing method for computer-aided detection of polyps in CT colonography. IEEE transactions on medical imaging. 2001 Dec;20(12):1251–1260.

Published In

IEEE transactions on medical imaging

DOI

EISSN

1558-254X

ISSN

0278-0062

Publication Date

December 2001

Volume

20

Issue

12

Start / End Page

1251 / 1260

Related Subject Headings

  • Tomography, X-Ray Computed
  • Sensitivity and Specificity
  • Reproducibility of Results
  • Radiographic Image Interpretation, Computer-Assisted
  • ROC Curve
  • Pattern Recognition, Automated
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Male
  • Imaging, Three-Dimensional