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Title: Automated localization of implanted seeds in 3D TRUS images used for prostate brachytherapy

Abstract

An algorithm has been developed in this paper to localize implanted radioactive seeds in 3D ultrasound images for a dynamic intraoperative brachytherapy procedure. Segmentation of the seeds is difficult, due to their small size in relatively low quality of transrectal ultrasound (TRUS) images. In this paper, intraoperative seed segmentation in 3D TRUS images is achieved by performing a subtraction of the image before the needle has been inserted, and the image after the seeds have been implanted. The seeds are searched in a 'local' space determined by the needle position and orientation information, which are obtained from a needle segmentation algorithm. To test this approach, 3D TRUS images of the agar and chicken tissue phantoms were obtained. Within these phantoms, dummy seeds were implanted. The seed locations determined by the seed segmentation algorithm were compared with those obtained from a volumetric cone-beam flat-panel micro-CT scanner and human observers. Evaluation of the algorithm showed that the rms error in determining the seed locations using the seed segmentation algorithm was 0.98 mm in agar phantoms and 1.02 mm in chicken phantoms.

Authors:
; ; ;  [1]
  1. Imaging Research Laboratories, Robarts Research Institute, London, ON N6A 5K8 (Canada) and Biomedical Engineering Graduate Program, University of Western Ontario, London, ON N6A 5B9 (Canada)
Publication Date:
OSTI Identifier:
20853215
Resource Type:
Journal Article
Journal Name:
Medical Physics
Additional Journal Information:
Journal Volume: 33; Journal Issue: 7; Other Information: DOI: 10.1118/1.2207132; (c) 2006 American Association of Physicists in Medicine; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0094-2405
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; AGAR; ALGORITHMS; BEAMS; BRACHYTHERAPY; CARCINOMAS; CHICKENS; COMPUTERIZED TOMOGRAPHY; ERRORS; IMAGE PROCESSING; IMAGES; PHANTOMS; PROSTATE; ULTRASONOGRAPHY

Citation Formats

Zhouping, Wei, Gardi, Lori, Downey, Donal B, Fenster, Aaron, Imaging Research Laboratories, Robarts Research Institute, London, ON N6A 5K8, Imaging Research Laboratories, Robarts Research Institute, London, ON N6A 5K8, Imaging Research Laboratories, Robarts Research Institute, London, ON N6A 5K8, and Biomedical Engineering Graduate Program, University of Western Ontario, London, ON N6A 5B9. Automated localization of implanted seeds in 3D TRUS images used for prostate brachytherapy. United States: N. p., 2006. Web. doi:10.1118/1.2207132.
Zhouping, Wei, Gardi, Lori, Downey, Donal B, Fenster, Aaron, Imaging Research Laboratories, Robarts Research Institute, London, ON N6A 5K8, Imaging Research Laboratories, Robarts Research Institute, London, ON N6A 5K8, Imaging Research Laboratories, Robarts Research Institute, London, ON N6A 5K8, & Biomedical Engineering Graduate Program, University of Western Ontario, London, ON N6A 5B9. Automated localization of implanted seeds in 3D TRUS images used for prostate brachytherapy. United States. https://doi.org/10.1118/1.2207132
Zhouping, Wei, Gardi, Lori, Downey, Donal B, Fenster, Aaron, Imaging Research Laboratories, Robarts Research Institute, London, ON N6A 5K8, Imaging Research Laboratories, Robarts Research Institute, London, ON N6A 5K8, Imaging Research Laboratories, Robarts Research Institute, London, ON N6A 5K8, and Biomedical Engineering Graduate Program, University of Western Ontario, London, ON N6A 5B9. 2006. "Automated localization of implanted seeds in 3D TRUS images used for prostate brachytherapy". United States. https://doi.org/10.1118/1.2207132.
@article{osti_20853215,
title = {Automated localization of implanted seeds in 3D TRUS images used for prostate brachytherapy},
author = {Zhouping, Wei and Gardi, Lori and Downey, Donal B and Fenster, Aaron and Imaging Research Laboratories, Robarts Research Institute, London, ON N6A 5K8 and Imaging Research Laboratories, Robarts Research Institute, London, ON N6A 5K8 and Imaging Research Laboratories, Robarts Research Institute, London, ON N6A 5K8 and Biomedical Engineering Graduate Program, University of Western Ontario, London, ON N6A 5B9},
abstractNote = {An algorithm has been developed in this paper to localize implanted radioactive seeds in 3D ultrasound images for a dynamic intraoperative brachytherapy procedure. Segmentation of the seeds is difficult, due to their small size in relatively low quality of transrectal ultrasound (TRUS) images. In this paper, intraoperative seed segmentation in 3D TRUS images is achieved by performing a subtraction of the image before the needle has been inserted, and the image after the seeds have been implanted. The seeds are searched in a 'local' space determined by the needle position and orientation information, which are obtained from a needle segmentation algorithm. To test this approach, 3D TRUS images of the agar and chicken tissue phantoms were obtained. Within these phantoms, dummy seeds were implanted. The seed locations determined by the seed segmentation algorithm were compared with those obtained from a volumetric cone-beam flat-panel micro-CT scanner and human observers. Evaluation of the algorithm showed that the rms error in determining the seed locations using the seed segmentation algorithm was 0.98 mm in agar phantoms and 1.02 mm in chicken phantoms.},
doi = {10.1118/1.2207132},
url = {https://www.osti.gov/biblio/20853215}, journal = {Medical Physics},
issn = {0094-2405},
number = 7,
volume = 33,
place = {United States},
year = {Sat Jul 15 00:00:00 EDT 2006},
month = {Sat Jul 15 00:00:00 EDT 2006}
}