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Proceedings Paper

Automated seed localization for intraoperative prostate brachytherapy based on 3D line segment patterns
Author(s): Mingyue Ding; Zhouping Wei; Donal B. Downey; Aaron Fenster
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Paper Abstract

Transrectal ultrasound (TRUS)-guided brachytherapy is a treatment option for localized prostate cancer, in which 125I or 103Pd radioactive seeds are implanted into the prostate. In this procedure, automated seed localization is important for intra-operative evaluation of dose delivery, which permits the identification of under-dosed regions and remedial seed placement, and ensures that the entire prostate receives the prescribed dose. In this paper, we describe the development of an automated seed segmentation method for use with 3D TRUS images. It is composed of five steps: 1) 3D needle segmentation; 2) volume cropping along the detected needle; 3) non-seed structure removal based on tri-bar model projection; 4) seed candidate recognition using 3D line segment detection; and 5) localization of seed positions. Experiments with the agar and chicken phantom images demonstrated that our method could segment 93% of the seeds in the 3D TRUS images with a mean distance error of 1.0 mm in an agar phantom and 1.7 mm in a chicken phantom, both with respect to manual segmented seed positions. The false positive rate was 7% while the segmentation time on a PC computer with dual AMD Athlon 1.8GHz processor was 280 seconds.

Paper Details

Date Published: 12 April 2005
PDF: 8 pages
Proc. SPIE 5744, Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display, (12 April 2005); doi: 10.1117/12.594812
Show Author Affiliations
Mingyue Ding, Robarts Research Institute (Canada)
Huazhong Univ. of Science and Technology (China)
Zhouping Wei, Robarts Research Institute (Canada)
Donal B. Downey, The Univ. of Western Ontario (Canada)
Aaron Fenster, Robarts Resaerch Insititute (Canada)

Published in SPIE Proceedings Vol. 5744:
Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display
Robert L. Galloway Jr.; Kevin R. Cleary, Editor(s)

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