DocumentCode :
557353
Title :
An automatic method for colon segmentation in virtual colonoscopy
Author :
Lu, Lin ; Zhao, Jun
Author_Institution :
Dept. of Biomed. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Volume :
1
fYear :
2011
fDate :
15-17 Oct. 2011
Firstpage :
105
Lastpage :
108
Abstract :
Colon segmentation from computed tomography (CT) data is a requirement for the construction of three-dimensional (3D) colon in the virtual colonoscopy (VC) system. There are two main challenges in the colon segmentation: 1) many non-colonic objects might attach to the colon, 2) under-distension of the colon might lead to numbers of collapsed portions. In this paper, we proposed a method that can remove non-colonic attachments and connect collapsed colonic segments together for the VC examination. The proposed method is mainly composed by a non-colonic attachment classification algorithm and a heuristic connection algorithm. We use 30 CT scans to evaluate our method. Computer-generated colons are compared with human-generated colons which are manually extracted by two radiologists. The proposed method could achieve 92.86% coverage of human-generated colons, which is of 13.68% higher than the conventional method.
Keywords :
computerised tomography; image classification; image segmentation; medical image processing; collapsed colonic segments; colon segmentation; computed tomography; computer-generated colons; heuristic connection algorithm; human-generated colons; noncolonic attachment classification algorithm; three-dimensional colon; virtual colonoscopy; Colon; Computed tomography; Fluids; Image segmentation; Phantoms; Sensitivity; Virtual colonoscopy; automatic segmentation; non-colonic objects; under distention; virtual colonoscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9351-7
Type :
conf
DOI :
10.1109/BMEI.2011.6098252
Filename :
6098252
Link To Document :
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