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Automated Polyp Detector for CT Colonography: Feasibility Study¹

¹ From the Department of Diagnostic Radiology, Warren Grant Magnuson Clinical Center, National Institutes of Health, Bldg 10, Rm 1C660, 10 Center Dr MSC 1182, Bethesda, MD 20892-1182 (R.M.S., L.M.P., J.D.M.), and the Department of Radiology, Stanford University Medical Center, Stanford, Calif (C.F.B., R.B.J., D.I.G., S.N.). Received August 5, 1999; revision requested September 24; revision received November 8; accepted November 16. Supported in part by the intramural research programs of the Diagnostic Radiology Department, Clinical Center, Bethesda, Md; National Institutes of Health grants 1R01 CA72023 and LM 07033; Silicon Graphics, Mountain View; the Packard Foundation, Los Altos, Calif; the Lucas Foundation, Menlo Park, Calif; and the Phil N. Allen Trust, Menlo Park, Calif. C.F.B. supported in part by an RSNA Research and Education Foundation Scholar Award. Address correspondence to R.M.S. (e-mail: rms@nih.gov).

An abdominal computed tomographic scan was modified by inserting 10 simulated colonic polyps with use of methods that closely mimic the attenuation, noise, and polyp–colon wall interface of naturally occurring polyps. A shape-based polyp detector successfully located six of the 10 polyps. When settings that enhanced the edge profile of polyps were chosen, eight of 10 polyps were detected. There were no false-positive detections. Shape analysis is technically feasible and is a promising approach to automated polyp detection.

Index terms: Colon, CT, 75.12111, 75.12115, 75.12117 • Colon, neoplasms, 75.3119 • Computed tomography (CT), image display and recording, 75.12115, 75.12117 • Computed tomography (CT), three-dimensional, 75.12117 • Computers, simulation • Phantoms

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