Share Email Print

Proceedings Paper

Fully automated prone-supine coregistration in computed tomographic colonography
Author(s): Brynmor J. Davis; James A. Norris; Jerry Y. Bieszczad; Jorge A. Soto; David B. Kynor
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A fully automated, anatomically-based procedure is developed for the coregistration of prone and supine scans in computed tomographic colonography (CTC). Haustral folds, teniae coli and other anatomic landmarks are extracted from the segmented colonic lumen and serve as the basis for iterative optimization-based matching of the colonic surfaces. The three-dimensional coregistration is computed efficiently using a two-dimensional filet representation of the colon. The circumferential positions of longitudinal structures such as teniae coli are used to estimate a rotational prone-to-supine deformation, haustral folds give a longitudinal (stretching) deformation, while other landmarks and anatomical considerations are used to constrain the allowable deformations. The proposed method is robust to changes in the detected anatomical landmarks such as the obscuration or apparent bifurcation of teniae coli. Preliminary validation in the Walter Reed CTC data set shows excellent coregistration accuracy-57 manually identified features (such as polyps and diverticula) are automatically coregistered with a mean three-dimensional error of 16.4 mm. In phantom studies, 210 fiducial pairs are coregistered to a mean three-dimensional error of 8.6 mm. The coregistration allows points of interest in one scan to be automatically located in the other, leading to an expected improvement in per-patient read time and a significant reduction in the cost of CTC.

Paper Details

Date Published: 11 March 2011
PDF: 16 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79621U (11 March 2011); doi: 10.1117/12.878150
Show Author Affiliations
Brynmor J. Davis, Creare Inc. (United States)
James A. Norris, Creare Inc. (United States)
Jerry Y. Bieszczad, Creare Inc. (United States)
Jorge A. Soto, Boston Univ. Medical Ctr. (United States)
David B. Kynor, Creare Inc. (United States)

Published in SPIE Proceedings Vol. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

© SPIE. Terms of Use
Back to Top