3D Prostate Segmentation in Ultrasound Images Based on Tapered and Deformed Ellipsoids

Authors:
Seyedeh Sara Mahdavi;William J. Morris;Ingrid Spadinger;Nick Chng;Orcun Goksel;Septimiu E. Salcudean
Affiliations:
Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada;Vancouver Cancer Center, British Columbia Cancer Agency, Vancouver, Canada;Vancouver Cancer Center, British Columbia Cancer Agency, Vancouver, Canada;Vancouver Cancer Center, British Columbia Cancer Agency, Vancouver, Canada;Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada;Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada
Venue:
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Year:
2009

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Abstract

Prostate segmentation from trans-rectal transverse B-mode ultrasound images is required for radiation treatment of prostate cancer. Manual segmentation is a time-consuming task, the results of which are dependent on image quality and physicians' experience. This paper introduces a semi-automatic 3D method based on super-ellipsoidal shapes. It produces a 3D segmentation in less than 15 seconds using a warped, tapered ellipsoid fit to the prostate. A study of patient images shows good performance and repeatability. This method is currently in clinical use at the Vancouver Cancer Center where it has become the standard segmentation procedure for low dose-rate brachytherapy treatment.