title: Automated polyp detector for CT colonography: feasibility study.
abstract: 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.
authors.affiliation: 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, USA. rms@nih.gov
authors.forename: R M
authors.initials: RM
authors.lastname: Summers
authors.forename: C F
authors.initials: CF
authors.lastname: Beaulieu
authors.forename: L M
authors.initials: LM
authors.lastname: Pusanik
authors.forename: J D
authors.initials: JD
authors.lastname: Malley
authors.forename: R B
authors.initials: RB
authors.lastname: Jeffrey
authors.forename: D I
authors.initials: DI
authors.lastname: Glazer
authors.forename: S
authors.initials: S
authors.lastname: Napel
mesh_terms: D003106:Colon / Q000000981:diagnostic imaging*; D003111:Colonic Polyps / Q000000981:diagnostic imaging*; D003196:Computer Graphics; D003198:Computer Simulation; D005240:Feasibility Studies; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008875:Middle Aged; D011857:Radiographic Image Interpretation, Computer-Assisted; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed