NDLI: Detection of anatomical landmarks in human colon from computed tomographic colonography images

Content Provider	IEEE Xplore Digital Library
Author	Chowdhury, A.S. Yao, J. VanUitert, R.L. Linguraru, M.G. Summers, R.M.
Copyright Year	2008
Description	Author affiliation: Dept. of Diagnostic Radiol., Nat. Institutes of Health Clinical Center, Bethesda, MD, USA (Chowdhury, A.S.; Yao, J.; VanUitert, R.L.; Linguraru, M.G.; Summers, R.M.)
Abstract	Colon cancer is the second leading cause of cancer-related deaths per year in industrial nations. Virtual colonoscopy is a new, less invasive alternative to the usually practiced optical colonoscopy for colorectal polyp and cancer screening. In this paper, we present some physics-based modeling and pattern recognition techniques to identify anatomical landmarks in the human colon like the haustral folds and the tenia coli to further exploit the benefits of virtual colonoscopy. A combination of heat diffusion field algorithm and fuzzy c-means clustering algorithm is used to detect the haustral folds in human colon from volumetric computed tomography (CT) images. Each voxel on the corresponding colon surface is parameterized using the colon centerline information and associated local Frenet frames. The parameterized fold information is utilized to establish the tentative location of one tenia coli. Preliminary results on automated detection of tenia coli are shown on the colon surface.
Starting Page	1
Ending Page	4
File Size	396370
Page Count	4
File Format	PDF
ISBN	9781424421749
ISSN	10514651
DOI	10.1109/ICPR.2008.4760969
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Humans Colon Colonography Cancer Virtual colonoscopy Clustering algorithms Computed tomography Industrial accidents Colonic polyps Pattern recognition Computed Tomography Heat Diffusion Fuzzy C-Means Frenet Frame Haustral Fold Tenia Coli
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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