Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/16697
Title: Computer-aided detection of polyps in CT colonography
Authors: YEO ENG THIAM
Keywords: colonography detection polyps virtual colon CT
Issue Date: 25-Dec-2008
Source: YEO ENG THIAM (2008-12-25). Computer-aided detection of polyps in CT colonography. ScholarBank@NUS Repository.
Abstract: We have developed a computer-aided diagnosis system for the detection of colonic polyps. Our system allows radiologists to detect polyps using a virtual flythrough within the 3D model of the reconstructed colon. More importantly, it includes an automatic polyp detection scheme that automatically highlights suspicious regions. As a first reader, this polyp detection scheme reduces interpretation time and decreases inter-observer variability among different radiologists. Polyp candidates are first identified using shape index and curvedness, subsequently filtered by a simple set of rules, before being subjected to linear discriminant analysis (LDA). Optimal subset of features was selected by means of a genetic algorithm. 45 fecal-tagged scans which include 71 polyps (at least 5mm in diameter) were obtained; a 5-fold cross-validation was used to estimate the generalizability of our polyp detection scheme. With sensitivities at 60% and 90%, the respective average numbers of false positives per scan are 6.22 and 18.94.
URI: http://scholarbank.nus.edu.sg/handle/10635/16697
Appears in Collections:Master's Theses (Open)

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