Fully automated prone-supine coregistration in computed tomographic colonography

Brynmor J. Davis; James A. Norris; Jerry Y. Bieszczad; Jorge A. Soto; David B. Kynor

doi:10.1117/12.878150

11 March 2011 Fully automated prone-supine coregistration in computed tomographic colonography

Brynmor J. Davis, James A. Norris, Jerry Y. Bieszczad, Jorge A. Soto, David B. Kynor

Proceedings Volume 7962, Medical Imaging 2011: Image Processing; 79621U (2011) https://doi.org/10.1117/12.878150
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

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.

Citation Download Citation

Brynmor J. Davis, James A. Norris, Jerry Y. Bieszczad, Jorge A. Soto, and David B. Kynor "Fully automated prone-supine coregistration in computed tomographic colonography", Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79621U (11 March 2011); https://doi.org/10.1117/12.878150

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KEYWORDS

Colon

Tomography

Rectum

3D image processing

Computed tomography

3D scanning

Image processing

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