DocumentCode :
2153953
Title :
Asymmetric Affinity in Fuzzy Connectedness Segmentation for Oral Contrast-Enhances CT Colonography
Author :
Franaszek, Marek ; Summers, Ronald M.
Author_Institution :
Warren Grant Magnuson Clinical Center, Nat. Inst. of Health, Bethesda, MD
fYear :
0
fDate :
0-0 0
Firstpage :
419
Lastpage :
423
Abstract :
In oral contrast-enhanced CT colonography, patients are given barium- or iodine-containing solutions to drink to tag out remnants of stool and residual fluid in the colon. Frequently, residual fecal matter absorbs more tagging material and appears much brighter on CT images than surrounding opacified fluid. This may cause even advanced segmentation procedures, like fuzzy connectedness, to miss local regions of colonic lumen. This in turn leads to spurious deformations of the reconstructed colonic wall and impairs interpretation. We show that these problems may be avoided when the properly designed asymmetric affinities are used for segmenting air- and fluid-filled parts of the colon. After this improvement, the segmented volume does not contain holes of missed regions and resulting colonic surface is smooth and free from undesired distortion
Keywords :
computerised tomography; fuzzy set theory; image segmentation; medical image processing; asymmetric affinity; colonic lumen; colonic wall; fuzzy connectedness segmentation; opacified fluid; oral contrast-enhanced CT colonography; residual fecal matter; spurious deformations; tagging material; Colon; Colonic polyps; Colonography; Computed tomography; Fuzzy systems; Histograms; Image reconstruction; Image segmentation; Tagging; Virtual colonoscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium on
Conference_Location :
Salt Lake City, UT
ISSN :
1063-7125
Print_ISBN :
0-7695-2517-1
Type :
conf
DOI :
10.1109/CBMS.2006.49
Filename :
1647606
Link To Document :
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