Shape filtering for false positive reduction at computed tomography colonography

Authors:
Abhilash A. Miranda;Tarik A. Chowdhury;Ovidiu Ghita;Paul F. Whelan
Affiliations:
Vision Systems Group, Dublin City University, Ireland;Vision Systems Group, Dublin City University, Ireland;Vision Systems Group, Dublin City University, Ireland;Vision Systems Group, Dublin City University, Ireland
Venue:
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Year:
2006

Citing 3
Cited 0

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Abstract

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.