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Shape filtering for false positive reduction at computed tomography colonography

Miranda, Abhilash A. and Chowdhury, Tarik A. and Ghita, Ovidiu and Whelan, Paul F. (2006) Shape filtering for false positive reduction at computed tomography colonography. In: MICCAI 2006 - 9th International Conference on Medical Image Computing and Computer-Assisted Intervention, 1-6 October 2006, Copenhagen, Denmark. ISBN 978-3-540-44727-6

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In this paper, we treat the problem of reducing the false positives (FP) in the automatic detection of colorectal polyps at Computer Aided Detection in Computed Tomography Colonography (CAD-CTC) as a shape-filtering task. From the extracted candidate surface, we obtain a reliable shape distribution function and analyse it in the Fourier domain and use the resulting spectral data to classify the candidate surface as belonging to a polyp or a non-polyp class. The developed shape filtering scheme is computationally efficient (takes approximately 2 seconds per dataset to detect the polyps from the colonic surface) and offers robust polyp detection with an overall false positive rate of 5.44 per dataset at a sensitivity of 100% for polyps greater than 10mm when it was applied to standard and low dose CT data.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:image analysis; Computer Aided Detection in Computed Tomography Colonography (CAD-CTC);
DCU Faculties and Centres:Research Initiatives and Centres > Research Institute for Networks and Communications Engineering (RINCE)
Published in:Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006. Lecture Notes in Computer Science 4191. Springer Berlin / Heidelberg. ISBN 978-3-540-44727-6
Publisher:Springer Berlin / Heidelberg
Official URL:
Copyright Information:The original publication is available at
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:4664
Deposited On:03 Jul 2009 10:49 by DORAS Administrator. Last Modified 27 Oct 2017 09:57

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