An automatic method for colon segmentation in CT colonography

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

Research output: Contribution to journalArticlepeer-review


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 languageEnglish
Pages (from-to)325-331
Number of pages7
JournalComputerized Medical Imaging and Graphics
Issue number4
Publication statusPublished - Jun 2009


  • 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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