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Published online before print January 11, 2002, 10.1148/radiol.2222010506
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(Radiology 2002;222:327-336.)
© RSNA, 2002


Computer Applications

Computerized Detection of Colonic Polyps at CT Colonography on the Basis of Volumetric Features: Pilot Study1

Hiroyuki Yoshida, PhD, Yoshitaka Masutani, PhD, Peter MacEneaney, MD, FRCR, David T. Rubin, MD and Abraham H. Dachman, MD

1 From the Departments of Radiology (H.Y., Y.M., P.M., A.H.D.) and Medicine (D.T.R.), University of Chicago, 5841 S Maryland Ave, MC2026, Chicago, IL 60637. Received February 22, 2001; revision requested March 21; revision received June 26; accepted July 27. Supported in part by a grant from the University of Chicago Cancer Research Center. Address correspondence to H.Y. (e-mail: yoshida@uchicago.edu).

PURPOSE: To develop a computer-aided diagnosis (CAD) scheme for automated detection of colonic polyps on the basis of volumetric features and to assess its accuracy on the basis of colonoscopy, the standard.

MATERIALS AND METHODS: Computed tomographic (CT) colonography was performed in patients with use of standard bowel cleansing, air insufflation, and helical scanning in supine and prone positions. The colon was extracted from volumetric data sets generated from transverse CT sections. Volumetric features characterizing polyps were computed at each point in the extracted colon. Polyps were detected by means of hysteresis thresholding and fuzzy clustering followed by a rule-based test on the basis of feature values. Locations of the detected polyps were compared with those detected at conventional colonoscopy.

RESULTS: Forty-one cases were analyzed: nine cases with polyps and 32 without polyps. Each case with polyps had one polyp of clinically important size (six were 5–9 mm; three, 10 mm). Thus, there were 82 volumetric data sets, 18 included polyps. Eighty-nine percent (16 of 18) of the polyps were detected. Each of the two false-negative findings was detected in the other position; thus, 100% of polyp cases were detected, with 2.5 false-positive findings per patient. The false-positive findings were similar to those due to common perceptual errors. Most of the false-positive findings were easily distinguishable from true polyps by experienced radiologists.

CONCLUSION: The CAD scheme has the potential to depict polyps with high sensitivity and an acceptable false-positive rate.

Index terms: Colon, CT, 75.12115, 75.12117, 75.12119 • Colon neoplasms, 75.311 • Computers, diagnostic aid • Images, analysis, 75.12115, 75.12117, 75.12119




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