Title :
Detection of brachytherapy seeds using 3D ultrasound
Author :
Wen, Xu ; Salcudean, S.E.
Author_Institution :
Department of Electrical and Computer Engineering, University of British Columbia, 2332 Main Mall, Vancouver, Canada
Abstract :
Imaging and detection of brachytherapy seeds using transrectal ultrasound (TRUS) remains a challenge for prostate brachytherapy, mainly due to the small size of brachytherapy seeds in relatively low-quality B-mode TRUS images. In this paper, we propose a new solution for brachytherapy seed detection using 3D ultrasound. We use 3D reflected power images computed from ultrasound radio-frequency signals, instead of using conventional B-mode images. Then implanted seeds are detected in 3D local search spaces that are determined by a priori knowledge. Experimental results showed that the proposed solution works well for seed localization in the prostate phantom.
Keywords :
Brachytherapy; Dosimetry; Imaging phantoms; Needles; Optical imaging; Probes; Prostate cancer; Radio frequency; Ultrasonic imaging; X-ray imaging; Algorithms; Artificial Intelligence; Brachytherapy; Cluster Analysis; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Male; Pattern Recognition, Automated; Phantoms, Imaging; Prostate; Prostatic Neoplasms; Prostheses and Implants; Prosthesis Implantation; Reproducibility of Results; Sensitivity and Specificity; Ultrasonography;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4649288