title: Polyp-Alert: near real-time feedback during colonoscopy.
abstract: We present a software system called "Polyp-Alert" to assist the endoscopist find polyps by providing visual feedback during colonoscopy. Polyp-Alert employs our previous edge-cross-section visual features and a rule-based classifier to detect a polyp edge-an edge along the contour of a polyp. The technique employs tracking of detected polyp edge(s) to group a sequence of images covering the same polyp(s) as one polyp shot. In our experiments, the software correctly detected 97.7% (42 of 43) of polyp shots on 53 randomly selected video files of entire colonoscopy procedures. However, Polyp-Alert incorrectly marked only 4.3% of a full-length colonoscopy procedure as showing a polyp when they do not. The test data set consists of about 18 h worth of video data from Olympus and Fujinon endoscopes. The technique is extensible to other brands of colonoscopes. Furthermore, Polyp-Alert can provide as high as ten feedbacks per second for a smooth display of feedback. The performance of our system is by far the most promising to potentially assist the endoscopist find more polyps in clinical practice during a routine screening colonoscopy.
authors.affiliation: Department of Computer Science, Iowa State University, Ames, IA 50011, USA.
authors.forename: Yi
authors.initials: Y
authors.lastname: Wang
authors.affiliation: Department of Computer Science, Iowa State University, Ames, IA 50011, USA. Electronic address: tavanapo@cs.iastate.edu.
authors.forename: Wallapak
authors.initials: W
authors.lastname: Tavanapong
authors.affiliation: Department of Computer Science, Iowa State University, Ames, IA 50011, USA.
authors.forename: Johnny
authors.initials: J
authors.lastname: Wong
authors.affiliation: Department of Computer Science and Engineering, University of North Texas, Denton, TX 76203, USA.
authors.forename: Jung Hwan
authors.initials: JH
authors.lastname: Oh
authors.affiliation: Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN 55905, USA.
authors.forename: Piet C
authors.initials: PC
authors.lastname: de Groen
mesh_terms: D003111:Colonic Polyps / Q000175:diagnosis*; D003113:Colonoscopy; D006801:Humans
keywords: Colonoscopy; Medical imaging/video; Near Real-time; Polyp detection