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
Full text available as:
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.
Archive Staff Only: edit this record