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Proceedings Paper

3D supine and prone colon registration for computed tomographic colonography scans based on graph matching
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Paper Abstract

In this paper, we propose a new registration method for supine and prone computed tomographic colonography scans based on graph matching. We first formulated 3D colon registration as a graph matching problem and utilized a graph matching algorithm based on mean field theory. During the iterative optimization process, one-to-one matching constraints were added to the system step-by-step. Prominent matching pairs found in previous iterations are used to guide subsequent mean field calculations. The advantage of the proposed method is that it does not require a colon centerline for registration. We tested the algorithm on a CTC dataset of 19 patients with 19 polyps. The average registration error of the proposed method was 4.0cm (std. 2.1cm). The 95% confidence intervals were [3.0cm, 5.0mm]. There was no significant difference between the proposed method and our previous method based on the normalized distance along the colon centerline (p=0.1).

Paper Details

Date Published: 8 March 2011
PDF: 8 pages
Proc. SPIE 7963, Medical Imaging 2011: Computer-Aided Diagnosis, 79631F (8 March 2011); doi: 10.1117/12.878227
Show Author Affiliations
Shijun Wang, National Institutes of Health (United States)
Nicholas Petrick, U.S. Food and Drug Administration (United States)
Robert L. Van Uitert, iCAD, Inc. (United States)
Senthil Periaswamy, iCAD, Inc. (United States)
Ronald M. Summers, National Institutes of Health (United States)


Published in SPIE Proceedings Vol. 7963:
Medical Imaging 2011: Computer-Aided Diagnosis
Ronald M. Summers M.D.; Bram van Ginneken, Editor(s)

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