False positive reduction in CT colonography using spectral compression and curvature tensor smoothing of surface geometry

Authors:
Ju Lynn Ong;Abd-Krim Seghouane
Affiliations:
National ICT Australia, RSISE, The Australian National University, Canberra, Australia;National ICT Australia, RSISE, The Australian National University, Canberra, Australia
Venue:
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Year:
2009

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Abstract

Existing polyp detection methods rely heavily on curvature-based 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 detected while preserving true positives. Simulation results give 96% sensitivity for polyps 10mm while reducing FPs by 92%.