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Proceedings Paper

Segmentation of colon lumen for virtual colonoscopy
Author(s): Zach Liang; Dongqing Chen; Rui C. H. Chiou; Bin Li; Arie E. Kaufman; Mark R. Wax
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Paper Abstract

Residual stool and fluid and wall collapses are problematic for virtual colonoscopy. Electronic colon cleansing techniques combining both bowel preparation and image processing were developed to segment the colon lumen from the abdominal computed tomographic (CT) images. This paper describes our bowel preparation and image segmentation techniques and presents some preliminary results. A feasibility study using magnetic resonance imaging (MRI) is also reported.

Paper Details

Date Published: 20 May 1999
PDF: 9 pages
Proc. SPIE 3660, Medical Imaging 1999: Physiology and Function from Multidimensional Images, (20 May 1999); doi: 10.1117/12.349597
Show Author Affiliations
Zach Liang, SUNY/Stony Brook (United States)
Dongqing Chen, SUNY/Stony Brook (United States)
Rui C. H. Chiou, SUNY/Stony Brook (United States)
Bin Li, SUNY/Stony Brook (United States)
Arie E. Kaufman, SUNY/Stony Brook (United States)
Mark R. Wax, SUNY/Stony Brook (United States)


Published in SPIE Proceedings Vol. 3660:
Medical Imaging 1999: Physiology and Function from Multidimensional Images
Chin-Tu Chen; Anne V. Clough, Editor(s)

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