Share Email Print

Proceedings Paper

Fast prostate segmentation for brachytherapy based on joint fusion of images and labels
Author(s): Saman Nouranian; Mahdi Ramezani; S. Sara Mahdavi; Ingrid Spadinger; William J. Morris; Septimiu E. Salcudean; Purang Abolmaesumi
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Brachytherapy as one of the treatment methods for prostate cancer takes place by implantation of radioactive seeds inside the gland. The standard of care for this treatment procedure is to acquire transrectal ultrasound images of the prostate which are segmented in order to plan the appropriate seed placement. The segmentation process is usually performed either manually or semi-automatically and is associated with subjective errors because the prostate visibility is limited in ultrasound images. The current segmentation process also limits the possibility of intra-operative delineation of the prostate to perform real-time dosimetry. In this paper, we propose a computationally inexpensive and fully automatic segmentation approach that takes advantage of previously segmented images to form a joint space of images and their segmentations. We utilize joint Independent Component Analysis method to generate a model which is further employed to produce a probability map of the target segmentation. We evaluate this approach on the transrectal ultrasound volume images of 60 patients using a leave-one-out cross-validation approach. The results are compared with the manually segmented prostate contours that were used by clinicians to plan brachytherapy procedures. We show that the proposed approach is fast with comparable accuracy and precision to those found in previous studies on TRUS segmentation.

Paper Details

Date Published: 12 March 2014
PDF: 7 pages
Proc. SPIE 9036, Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling, 90361A (12 March 2014); doi: 10.1117/12.2042692
Show Author Affiliations
Saman Nouranian, The Univ. of British Columbia (Canada)
Mahdi Ramezani, The Univ. of British Columbia (Canada)
S. Sara Mahdavi, The Univ. of British Columbia (Canada)
Ingrid Spadinger, BC Cancer Agency (Canada)
William J. Morris, BC Cancer Agency (Canada)
Septimiu E. Salcudean, The Univ. of British Columbia (Canada)
Purang Abolmaesumi, The Univ. of British Columbia (Canada)

Published in SPIE Proceedings Vol. 9036:
Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling
Ziv R. Yaniv; David R. Holmes III, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?