Multiresolution colonic polyp detection in CT colonography using spherical wavelets

Abd Krim Seghouane*, Ju Lynn Ong

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2009 IEEE/SP 15th Workshop on Statistical Signal Processing, SSP '09
Pages125-128
Number of pages4
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 IEEE/SP 15th Workshop on Statistical Signal Processing, SSP '09 - Cardiff, United Kingdom
Duration: 31 Aug 20093 Sept 2009

Publication series

NameIEEE Workshop on Statistical Signal Processing Proceedings

Conference

Conference2009 IEEE/SP 15th Workshop on Statistical Signal Processing, SSP '09
Country/TerritoryUnited Kingdom
CityCardiff
Period31/08/093/09/09

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