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Determining candidate polyp morphology from CT colonography using a level-set method

Lynch, Michael and Chowdhury, Tarik A. and Ghita, Ovidiu and Whelan, Paul F. (2005) Determining candidate polyp morphology from CT colonography using a level-set method. In: EMBEC 2005 - European Medical and Biological Engineering Conference, 20-25 November 2005, Prague, Czech Republic.

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Abstract

In this paper we propose a level-set segmentation for polyp candidates in Computer Tomography Colongraphy (CTC). Correct classification of the candidate polyps into polyp and non-polyp is, in most cases, evaluated using shape features. Therefore, accurate recovery of the polyp candidate surface is important for correct classification. The method presented in this paper, evolves a curvature and gradient dependent boundary to recover the surface of the polyp candidate in a level-set framework. The curvature term is computed using a combination of the Mean curvature and the Gaussian curvature. The results of the algorithm were run through a classifier for two complete data-sets and returned 100% sensitivity for polyps greater than 5mm.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:colonic polyp segmentation; level set; curvature;
Subjects:Computer Science > Image processing
DCU Faculties and Centres:Research Initiatives and Centres > Research Institute for Networks and Communications Engineering (RINCE)
Official URL:http://www.embec.eu
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:4669
Deposited On:03 Jul 2009 14:03 by DORAS Administrator. Last Modified 03 Jul 2009 14:03

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