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A note on feature selection for polyp detection in CT colonography

Chowdhury, Tarik A. and Ghita, Ovidiu and Whelan, Paul F. and Miranda, Abhilash A. (2006) A note on feature selection for polyp detection in CT colonography. In: ICPR 2006 - 18th International Conference on Pattern Recognition, 20-24 August 2006, Hong Kong. ISBN 0-7695-2521-0

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In this paper we describe a computer aided detection (CAD) algorithm for robust detection of polyps in computed tomography (CT) colonography. The devised algorithm identifies suspicious polyp candidate surfaces using the surface normal intersection, Hough transform, 3D histogram analysis, region growing and a convexity test. From these detected surfaces we extract statistical and morphological features in order to evaluate if the surface in question is a polyp or fold. In order to devise the optimal classification scheme the performance of two different classifiers are evaluated when the algorithm is applied to synthetic and real patient data. The experimental results indicate that the overall polyp detection performance shows sensitivity higher than 92% for polyps larger than 5mm with an average of 4.7 to 6.0 false positives per dataset

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:image analysis; Hough transforms; biological organs; computerised tomography; feature extraction; image classification; medical image processing; stereo image processing;
DCU Faculties and Centres:Research Initiatives and Centres > Research Institute for Networks and Communications Engineering (RINCE)
Publisher:Institute of Electrical and Electronics Engineers
Official URL:
Copyright Information:©2006 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:4642
Deposited On:02 Jul 2009 13:33 by DORAS Administrator. Last Modified 27 Oct 2017 09:59

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