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False Positive Reduction in CT Colonography using Spectral Compression and Curvature Tensor Smoothing of Surface Geometry

Seghouane, Abd-Krim; Ong, Ju


Existing polyp detection methods rely heavily on curvaturebased characteristics to differentiate between lesions. However, as curvature is a local feature and a second order differential quantity, noise caused by small bumpy structures and incoherent curvature fields of a discretized volume or surface can greatly increase the number of false positives (FPs) detected. This paper investigates a spectral compression and curvature tensor smoothing algorithm with the aim to reduce the number of FPs...[Show more]

CollectionsANU Research Publications
Date published: 2009
Type: Conference paper
Source: Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI 2009)
DOI: 10.1109/ISBI.2009.5192990


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