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Title: An automated intensity-weighted brachytherapy seed localization algorithm

Abstract

Brachytherapy has proven to be an effective treatment for various forms of cancer, whereby radioactive material is inserted directly into the body to maximize dosage to malignant tumors while preserving healthy tissue. In order to validate the preoperative or intraoperative dosimetric model, a postimplant evaluation procedure is needed to ensure that the locations of the implanted seeds are consistent with the planning stage. Moreover, development of an automated algorithm for seed detection and localization is necessary to expedite the postimplant evaluation process and reduce human error. Most previously reported algorithms have performed binary transforms on images before attempting to localize seeds. Furthermore, traditional approaches based upon three-dimensional seed shape parameterization and matching require high resolution imaging. The authors propose a new computationally efficient algorithm for automatic seed localization for full three-dimensional, low-resolution data sets that directly applies voxel intensity to the estimation of both seed centroid location and angular seed orientation. Computer simulations, phantom studies, and in vivo computed tomography prostate seed imaging results show that the proposed algorithm can produce reliable results even for low-resolution images.

Authors:
; ;  [1]
  1. Department of Electrical and Computer Engineering, Texas A and M University, College Station, Texas 77843 (United States)
Publication Date:
OSTI Identifier:
21036180
Resource Type:
Journal Article
Journal Name:
Medical Physics
Additional Journal Information:
Journal Volume: 35; Journal Issue: 3; Other Information: DOI: 10.1118/1.2836418; (c) 2008 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; ALGORITHMS; BRACHYTHERAPY; COMPUTERIZED SIMULATION; COMPUTERIZED TOMOGRAPHY; DOSIMETRY; IMAGE PROCESSING; IMAGES; IN VIVO; NEOPLASMS; PHANTOMS; PROSTATE; RADIATION SOURCE IMPLANTS; RADIOACTIVE MATERIALS; RADIOPHARMACEUTICALS; SPATIAL RESOLUTION

Citation Formats

Whitehead, Gregory, Zheng, Chang, Ji, Jim, Don and Sybil Harrington Cancer Center, 1500 Wallace Boulevard, Amarillo, Texas 79106, and Department of Electrical and Computer Engineering, Texas A and M University, College Station, Texas 77843. An automated intensity-weighted brachytherapy seed localization algorithm. United States: N. p., 2008. Web. doi:10.1118/1.2836418.
Whitehead, Gregory, Zheng, Chang, Ji, Jim, Don and Sybil Harrington Cancer Center, 1500 Wallace Boulevard, Amarillo, Texas 79106, & Department of Electrical and Computer Engineering, Texas A and M University, College Station, Texas 77843. An automated intensity-weighted brachytherapy seed localization algorithm. United States. https://doi.org/10.1118/1.2836418
Whitehead, Gregory, Zheng, Chang, Ji, Jim, Don and Sybil Harrington Cancer Center, 1500 Wallace Boulevard, Amarillo, Texas 79106, and Department of Electrical and Computer Engineering, Texas A and M University, College Station, Texas 77843. 2008. "An automated intensity-weighted brachytherapy seed localization algorithm". United States. https://doi.org/10.1118/1.2836418.
@article{osti_21036180,
title = {An automated intensity-weighted brachytherapy seed localization algorithm},
author = {Whitehead, Gregory and Zheng, Chang and Ji, Jim and Don and Sybil Harrington Cancer Center, 1500 Wallace Boulevard, Amarillo, Texas 79106 and Department of Electrical and Computer Engineering, Texas A and M University, College Station, Texas 77843},
abstractNote = {Brachytherapy has proven to be an effective treatment for various forms of cancer, whereby radioactive material is inserted directly into the body to maximize dosage to malignant tumors while preserving healthy tissue. In order to validate the preoperative or intraoperative dosimetric model, a postimplant evaluation procedure is needed to ensure that the locations of the implanted seeds are consistent with the planning stage. Moreover, development of an automated algorithm for seed detection and localization is necessary to expedite the postimplant evaluation process and reduce human error. Most previously reported algorithms have performed binary transforms on images before attempting to localize seeds. Furthermore, traditional approaches based upon three-dimensional seed shape parameterization and matching require high resolution imaging. The authors propose a new computationally efficient algorithm for automatic seed localization for full three-dimensional, low-resolution data sets that directly applies voxel intensity to the estimation of both seed centroid location and angular seed orientation. Computer simulations, phantom studies, and in vivo computed tomography prostate seed imaging results show that the proposed algorithm can produce reliable results even for low-resolution images.},
doi = {10.1118/1.2836418},
url = {https://www.osti.gov/biblio/21036180}, journal = {Medical Physics},
issn = {0094-2405},
number = 3,
volume = 35,
place = {United States},
year = {Sat Mar 15 00:00:00 EDT 2008},
month = {Sat Mar 15 00:00:00 EDT 2008}
}