Fully automated prone-supine coregistration in computed tomographic colonography
2011
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.
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