Automated brachytherapy seed localization using intensity-weighted feature extraction techniques

Gregory Whitehead, Chang Zheng, Jim Ji

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Brachytherapy has proven to be an effective treatment of 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 pre-operative dosimetric model, a post-implant evaluation procedure is needed to ensure that the locations of the implanted seeds are consistent with the planning stage. Physicians require an automated algorithm for seed localization to expedite the post-implant evaluation process and reduce human error. Previously developed 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. We propose a new algorithm for automatic seed localization for full three-dimensional data sets that utilizes voxel intensity for both seed centroid computation and estimation of angular seed orientation that is expected to produce reliable results even for low-resolution images.

Original languageEnglish
Title of host publication2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
Pages1152-1155
Number of pages4
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07 - Arlington, VA, United States
Duration: 12 Apr 200715 Apr 2007

Other

Other2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07
CountryUnited States
CityArlington, VA
Period12/4/0715/4/07

Fingerprint

Brachytherapy
Seed
Feature extraction
Seeds
Radioactive materials
Image resolution
Parameterization
Tumors
Neoplasms
Tissue
Physicians
Imaging techniques
Planning

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Medicine(all)

Cite this

Whitehead, G., Zheng, C., & Ji, J. (2007). Automated brachytherapy seed localization using intensity-weighted feature extraction techniques. In 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings (pp. 1152-1155). [4193495] https://doi.org/10.1109/ISBI.2007.357061

Automated brachytherapy seed localization using intensity-weighted feature extraction techniques. / Whitehead, Gregory; Zheng, Chang; Ji, Jim.

2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. 2007. p. 1152-1155 4193495.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Whitehead, G, Zheng, C & Ji, J 2007, Automated brachytherapy seed localization using intensity-weighted feature extraction techniques. in 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings., 4193495, pp. 1152-1155, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07, Arlington, VA, United States, 12/4/07. https://doi.org/10.1109/ISBI.2007.357061
Whitehead G, Zheng C, Ji J. Automated brachytherapy seed localization using intensity-weighted feature extraction techniques. In 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. 2007. p. 1152-1155. 4193495 https://doi.org/10.1109/ISBI.2007.357061
Whitehead, Gregory ; Zheng, Chang ; Ji, Jim. / Automated brachytherapy seed localization using intensity-weighted feature extraction techniques. 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. 2007. pp. 1152-1155
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