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Automated Topographic Segmentation and Transit Time Estimation in Endoscopic Capsule Exams

Silva Cunha, J. P. C. ; Coimbra, M.

IEEE Transactions on Medical Imaging Vol. 27, Nº 1, pp. 19 - 27, January, 2008.

ISSN (print): 0278-0062
ISSN (online):

Journal Impact Factor: 3,390 (in )

Digital Object Identifier: 10.1109/TMI.2007.901430

Abstract
Endoscopic capsule is a recent medical technology
with important clinical benefits but suffering from a practical
handicap: long exam annotation times. This paper proposes and
compares two approaches (Bayesian and support vector machines)
that can be used to segment the gastrointestinal tract into its four
major topographic areas, allowing the automatic estimation of
the clinically relevant gastric and intestinal sections and cor-
responding transit times. According to medical specialists, this
can reduce exam annotation times by up to 12% (15 min). This
automatic tool has been integrated into our CapView annotation
software that is currently being used by three medical institutions.