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Proceedings Paper

Digital bowel cleansing for virtual colonoscopy with probability map
Author(s): Wei Hong; Feng Qiu
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Paper Abstract

Virtual colonoscopy (VC) is a noninvasivemethod for colonic polyp screening, by reconstructing three-dimensional models of the colon using computerized tomography (CT). Identifying the residual fluid retained inside the colon is a major challenge for 3D virtual colonoscopy using fecal tagging CT data. Digital bowel cleansing aims to segment the colon lumen from a patient abdominal image acquired using an oral contrast agent for colonic material tagging. After removing the segmented residual fluid, the clean virtual colon model can be constructed and visualized for screening. We present a novel automatic method for digital cleansing using probability map. The random walker algorithm is used to generate the probability map for air (inside the colon), soft tissue, and residual fluid instead of segment colon lumen directly. The probability map is then used to remove residual fluid from the original CT data. The proposed method was tested using VC study data at National Cancer Institute at NIH. The performance of our VC system for polyp detection has been improved by providing radiologists more detail information of the colon wall.

Paper Details

Date Published: 12 March 2010
PDF: 8 pages
Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 762341 (12 March 2010); doi: 10.1117/12.844281
Show Author Affiliations
Wei Hong, Siemens Corp. Research (United States)
Feng Qiu, Siemens Corp. Research (United States)

Published in SPIE Proceedings Vol. 7623:
Medical Imaging 2010: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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