Automatic Polyp Detection in Pillcam Colon 2 Capsule Images and Videos: Preliminary Feasibility Report. (22nd May 2011)

• Record Type: Journal Article
• Authors: Figueiredo, Pedro N.; Figueiredo, Isabel N.; Prasath, Surya; Tsai, Richard
• Other Names: Wassef Wahid Academic Editor.
• Is Part Of: Diagnostic and therapeutic endoscopy. Volume 2011(2011)
• Publication Date: 2011-05-22
• Subjects: Endoscopy -- Periodicals; Endoscopie; Endoscopy; Endoscopy -- Periodicals; Electronic journals; Periodicals; 616.07545
• DOI: 10.1155/2011/182435
• Languages: English
• ISSNs: 1070-3608

Abstract

Abstract : Background . The aim of this work is to present an automatic colorectal polyp detection scheme for capsule endoscopy. Methods . PillCam COLON2 capsule-based images and videos were used in our study. The database consists of full exam videos from five patients. The algorithm is based on the assumption that the polyps show up as a protrusion in the captured images and is expressed by means of aP -value, defined by geometrical features. Results . Seventeen PillCam COLON2 capsule videos are included, containing frames with polyps, flat lesions, diverticula, bubbles, and trash liquids. Polyps larger than 1 cm express aP -value higher than 2000, and 80% of the polyps show aP -value higher than 500. Diverticula, bubbles, trash liquids, and flat lesions were correctly interpreted by the algorithm as nonprotruding images. Conclusions . These preliminary results suggest that the proposed geometry-based polyp detection scheme works well, not only by allowing the detection of polyps but also by differentiating them from nonprotruding images found in the films.