Automated Delineation of the Normal Urinary Bladder on Planning CT and Cone Beam CT

Tara Rosewall, Jason Xie, Vickie Kong, Andrew J. Bayley, Peter Chung, Geoffrey Currie, Janelle Wheat, Michael Milosevic

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Purpose: To quantify the volumetric effect of delineation variability when using manual versus semiautomated tools to contour the normal bladder on planning computed tomography (CT) and cone beam CT. Methods: Following research ethics board approval, 10 prostate cancer patients were selected. For each patient, one pretreatment cone beam CT (CBCT) was randomly selected from the first treatment week and registered to the planning CT (planCT). Model-based auto adaptation was used to delineate the outer bladder (OB) surface for the planCT. That contour was then propagated and manually adapted onto the CBCT. A second observer delineated OB for the planCT and CBCT using typical manual methods. These delineation procedures were repeated four times on each image set, with observers blinded to the previous contours. Metrics of volumetric, geometric, and overlap concordance were used to compare the manual and automated OB contours.
Original languageEnglish
Pages (from-to)21-29
Number of pages9
JournalJournal of Medical Imaging and Radiation Sciences
Volume47
Issue number1
Early online date2015
DOIs
Publication statusPublished - 01 Mar 2016

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