Thin layer tissue classification for electronic cleansing of CT colonography data

V.F. Ravesteijn, Van, F.M. Vos, I.W.O Serlie, R. Truyen, L.J. Vliet, van

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

Abstract

CT colonography (CTC) is a rapidly evolving technique to screen for colorectal polyps. Fecal residue may occlude or, reversely, mimic polyps. Electronic cleansing aims at removing contrast-enhanced fecal residue from the image. However, thin layers of soft tissue (the colon wall or a fold) or residue are easily misclassified by current electronic cleansing methods, thereby causing holes in the colon wall or other artefacts that hamper visualization and automated detection. We present a thin layer model to detect and characterize such layers to support electronic cleansing. It is demonstrated that the model sustains robust estimation of the location and thickness of such a layer. Such thicknesses of thin layers were measured in real data sets. A lower bound on the thickness of such layers exists and was found to be 1.0 mm for our data.
Original languageEnglish
Title of host publication19th International Conference on Pattern Recognition, ICPR 2008, 8-11 December 2008, Tampa, FL
PublisherInstitute of Electrical and Electronics Engineers
Pages1-5
ISBN (Print)9781-4244-2174-9
DOIs
Publication statusPublished - 2008
Eventconference; ICPR 2008 : 19th International Conference on Pattern Recognition, 8-11 December 2008, Tampa, FL; 2008-12-08; 2008-12-11 -
Duration: 8 Dec 200811 Dec 2008

Conference

Conferenceconference; ICPR 2008 : 19th International Conference on Pattern Recognition, 8-11 December 2008, Tampa, FL; 2008-12-08; 2008-12-11
Period8/12/0811/12/08
OtherICPR 2008 : 19th International Conference on Pattern Recognition, 8-11 December 2008, Tampa, FL

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