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

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2 Author(s)
Ong, J.L. ; RSISE, Australian Nat. Univ., Canberra, ACT, Australia ; Seghouane, A.-K.

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 >10 mm while reducing FPs by 92%.

Published in:

Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on

Date of Conference:

June 28 2009-July 1 2009