Title :
Multiresolution colonic polyp detection in CT colonography using spherical wavelets
Author :
Seghouane, Abd-Krim ; Ong, Ju Lynn
Author_Institution :
Canberra Res. Lab., Australian Nat. Univ., Canberra, ACT, Australia
Abstract :
The description of lesion shapes with curvature-based features is a widespread approach in polyp detection methods. These methods are motivated by the need to compactly and accurately encode the different existing shape forms on the colon wall. However, the colon wall presents a number of small convex shape that resemble polyps which increases drastically the number of false positive (FP) detected. In this paper a method based on multiresolution shape processing using the spherical wavelet transform is proposed. The method aims to reduce the number of FPs detected while preserving true positives. Simulation results illustrating the effectiveness of the method are presented.
Keywords :
cancer; computerised tomography; shape recognition; CT colonography; colon wall; false positive detection; lesion shape; multiresolution colonic polyp detection; multiresolution shape processing; spherical wavelets; Australia; Cancer; Colon; Colonic polyps; Computed tomography; Design automation; Shape; Virtual colonoscopy; Wavelet analysis; Wavelet transforms; Polyps detection; Spherical wavelets;
Conference_Titel :
Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on
Conference_Location :
Cardiff
Print_ISBN :
978-1-4244-2709-3
Electronic_ISBN :
978-1-4244-2711-6
DOI :
10.1109/SSP.2009.5278624