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A statistical approach for robust polyp detection in CT colonography

Chowdhury, Tarik A. and Ghita, Ovidiu and Whelan, Paul F. (2005) A statistical approach for robust polyp detection in CT colonography. In: IEEE-EMBS 2005 - 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1-4 September 2005, Shanghai, China. ISBN 0-7803-8741-4

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Abstract

In this paper we describe the development of a computationally efficient computer-aided detection (CAD) algorithm based on the statistical features derived from the local colonic surface that are used for the detection of colonic polyps in computed tomography (CT) colonography. The candidate surface voxels were detected and clustered using the surface normal intersection, convexity test, region growing and Hough transform. The main objective of this paper is the selection of the statistical features that optimally capture the convexity of the candidate surface and consequently provide a high discrimination between local surfaces defined by polyps and folds. The developed polyp detection scheme is computationally efficient (typically takes 3.9 minute per dataset) and shows 100% sensitivity for phantom polyps greater than 5 mm and 87.5% sensitivity for real polyps greater than 5 mm with an average of 4.05 false positives per dataset

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Hough transforms; computerised tomography; feature extraction; medical image processing; phantoms; statistical analysis;
Subjects:Computer Science > Image processing
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > Research Institute for Networks and Communications Engineering (RINCE)
Publisher:Institute of Electrical and Electronics Engineers
Official URL:http://dx.doi.org/10.1109/IEMBS.2005.1616982
Copyright Information:©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ID Code:4671
Deposited On:03 Jul 2009 14:25 by DORAS Administrator. Last Modified 03 Jul 2009 14:25

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