Paper Info
Title
An Improved Electronic Colon Cleansing Method for Detection of Colonic Polyps by Virtual Colonoscopy.
Abstract
Electronic colon cleansing (ECC) aims to segment the colon lumen from a patient abdominal image acquired using an oral contrast agent for colonic material tagging, so that a virtual colon model can be constructed. Virtual colonoscopy (VC) pro- vides fly-through navigation within the colon model, looking for polyps on the inner surface in a manner analogous to that of fiber optic colonoscopy. We have built an ECC pipeline for a commercial VC navigation system. In this paper, we present an improved ECC method. It is based on a partial-volume (PV) image-segmentation framework, which is derived using the well-established statistical expectation-maximization algorithm. The presented ECC method was evaluated by both visual inspection and computer-aided de- tection of polyps (CADpolyp) within the cleansed colon lumens ob- tained using 20 patient datasets. Compared to our previous ECC pipeline, which does not sufficiently consider the PV effect, the method presented in this paper demonstrates improved polyp de- tection by both visual judgment and CADpolyp measure.
Year
DOI
Venue
2006
10.1109/TBME.2006.877793
IEEE Trans. Biomed. Engineering
Keywords
Field
DocType
visual inspection,expectation maximization algorithm,partial volume,fiber optic,partial volume effect,image segmentation,cad
Colon.lumen,Computer vision,Colon cleansing,Colonoscopy,Computer science,Navigation system,Computer aided detection,Image segmentation,Artificial intelligence,Virtual colonoscopy,Radiology
Journal
Volume
Issue
ISSN
53
8
null
Citations 
PageRank 
References 
34
1.77
8
Authors
7
Name
Order
Citations
PageRank
Zigang Wang1405.02
Zhengrong Liang268493.03
Xiang Li334582.16
Lihong Li4422.77
Bin Li5747.26
Daria Eremina6422.81
Hongbing Lu732537.37