Accurate and fast 3D colon segmentation in CT colonography

Author

Chen, Dongqing ; Fahmi, Rachid ; Farag, Aly A. ; Falk, Robert L. ; Dryden, Gerald W.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Louisville, Louisville, KY, USA

fYear

2009

fDate

June 28 2009-July 1 2009

Firstpage

490

Lastpage

493

Abstract

This paper introduces an adaptive level set method for 3D segmentation of colon tissue in CT colonography filled with air and opacified fluid. First, most of the opacified liquid is removed by a threshold value. The closed contours are propagated toward the desired 3D region boundaries through the iterative evolution of the adaptive level sets function. The proposed method has been tested on 22 real CT colonography datasets with various pathologies, and the segmentation accuracy has achieved 98.40%.

Keywords

biological tissues; computerised tomography; image segmentation; medical image processing; 3D segmentation; CT colonography; adaptive level sets function; air; closed contours; colon tissue; iterative evolution; opacified fluid; Cancer; Colon; Colonic polyps; Colonography; Computed tomography; Deformable models; Image segmentation; Level set; Virtual colonoscopy; Visualization; 3D colon segmentation; CT colonography; Colorectal cancer; adaptive level sets;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on

Conference_Location

Boston, MA

ISSN

1945-7928

Print_ISBN

978-1-4244-3931-7

Electronic_ISBN

1945-7928

Type

conf

DOI

10.1109/ISBI.2009.5193091

Filename

5193091