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Proceedings Paper

Image segmentation approach to extract colon lumen through colonic material tagging and hidden Markov random field model for virtual colonoscopy
Author(s): Lihong Li; Dongqing Chen; Sarang Lakare; Kevin Kreeger; Ingmar Bitter; Arie E. Kaufman; Mark R. Wax; Petar M. Djuric; Zhengrong Liang
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Paper Abstract

Virtual colonoscopy provides a safe, minimal-invasive approach to detect colonic polyps using medical imaging and computer graphics technologies. Residual stool and fluid are problematic for optimal viewing of the colonic mucosa. Electronic cleansing techniques combining bowel preparation, oral contrast agents, and image segmentation were developed to extract the colon lumen from computed tomography (CT) images of the colon. In this paper, we present a new electronic colon cleansing technology, which employs a hidden Markov random filed (MRF) model to integrate the neighborhood information for overcoming the non-uniformity problems within the tagged stool/fluid region. Prior to obtaining CT images, the patient undergoes a bowel preparation. A statistical method for maximum a posterior probability (MAP) was developed to identify the enhanced regions of residual stool/fluid. The method utilizes a hidden MRF Gibbs model to integrate the spatial information into the Expectation Maximization (EM) model-fitting MAP algorithm. The algorithm estimates the model parameters and segments the voxels iteratively in an interleaved manner, converging to a solution where the model parameters and voxel labels are stabilized within a specified criterion. Experimental results are promising.

Paper Details

Date Published: 24 April 2002
PDF: 6 pages
Proc. SPIE 4683, Medical Imaging 2002: Physiology and Function from Multidimensional Images, (24 April 2002); doi: 10.1117/12.463607
Show Author Affiliations
Lihong Li, SUNY/Stony Brook (United States)
Dongqing Chen, SUNY/Stony Brook (United States)
Sarang Lakare, SUNY/Stony Brook (United States)
Kevin Kreeger, SUNY/Stony Brook (United States)
Ingmar Bitter, SUNY/Stony Brook (United States)
Arie E. Kaufman, SUNY/Stony Brook (United States)
Mark R. Wax, SUNY/Stony Brook (United States)
Petar M. Djuric, SUNY/Stony Brook (United States)
Zhengrong Liang, SUNY/Stony Brook (United States)


Published in SPIE Proceedings Vol. 4683:
Medical Imaging 2002: Physiology and Function from Multidimensional Images
Anne V. Clough; Chin-Tu Chen, Editor(s)

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