An automatic method for colon segmentation in CT colonography

Alberto Bert; Ivan Dmitriev; Silvano Agliozzo; Natalia Pietrosemoli; Mark Mandelkern; Teresa Gallo; Daniele Regge

doi:10.1016/j.compmedimag.2009.02.004

An automatic method for colon segmentation in CT colonography

Alberto Bert, Ivan Dmitriev, Silvano Agliozzo, Natalia Pietrosemoli, Mark Mandelkern, Teresa Gallo, Daniele Regge

Istituto Oncologico Candiolo

Research output: Contribution to journal › Article

Abstract

An automatic method for the segmentation of the colonic wall is proposed for abdominal computed tomography (CT) of the cleansed and air-inflated colon. This multistage approach uses an adaptive 3D region-growing algorithm, with a self-adjusting growing condition depending on local variations of the intensity at the air-tissue boundary. The method was evaluated using retrospectively collected CT scans based on visual segmentation of the colon by expert radiologists. This evaluation showed that the procedure identifies 97% of the colon segments, representing 99.8% of the colon surface, and accurately replicates the anatomical profile of the colonic wall. The parameter settings and performance of the method are relatively independent of the scanner and acquisition conditions. The method is intended for application to the computer-aided detection of polyps in CT colonography.

Original language	English
Pages (from-to)	325-331
Number of pages	7
Journal	Computerized Medical Imaging and Graphics
Volume	33
Issue number	4
DOIs	https://doi.org/10.1016/j.compmedimag.2009.02.004
Publication status	Published - Jun 2009

Keywords

CAD
Colon cancer
CT colonography
Segmentation

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging
Health Informatics
Radiological and Ultrasound Technology
Computer Graphics and Computer-Aided Design
Computer Vision and Pattern Recognition

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Bert, A., Dmitriev, I., Agliozzo, S., Pietrosemoli, N., Mandelkern, M., Gallo, T., & Regge, D. (2009). An automatic method for colon segmentation in CT colonography. Computerized Medical Imaging and Graphics, 33(4), 325-331. https://doi.org/10.1016/j.compmedimag.2009.02.004

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