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Virtual calibration of whole-body counters to consider the size dependency of counting efficiency using Monte Carlo simulations

Authors :
MinSeok Park
Han Sung Kim
Jaeryong Yoo
Chan Hyeong Kim
Won Il Jang
Sunhoo Park
Source :
Nuclear Engineering and Technology, Vol 53, Iss 12, Pp 4122-4129 (2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

The counting efficiencies obtained using anthropomorphic physical phantoms are generally used in whole-body counting measurements to determine the level of internal contamination in the body. Geometrical discrepancies between phantoms and measured individuals affect the counting efficiency, and thus, considering individual physical characteristics is crucial to improve the accuracy of activity estimates. In the present study, the counting efficiencies of whole-body counting measurements were calculated considering individual physical characteristics by employing Monte Carlo simulation for calibration. The NaI(Tl)-based stand-up and HPGe-based bed type commercial whole-body counters were used for calculating the counting efficiencies. The counting efficiencies were obtained from 19 computational phantoms representing various shapes and sizes of the measured individuals. The discrepancies in the counting efficiencies obtained using the computational and physical phantoms range from 2% to 33%, and the results indicate that the counting efficiency depends on the size of the measured individual. Taking into account the body size, the equations for estimating the counting efficiencies were derived from the relationship between the counting efficiencies and the body-build index of the subject. These equations can aid in minimizing the size dependency of the counting efficiency and provide more accurate measurements of internal contamination in whole-body counting measurements.

Details

Language :
English
ISSN :
17385733
Volume :
53
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Nuclear Engineering and Technology
Publication Type :
Academic Journal
Accession number :
edsdoj.28b96a56702b467bb0427ea76520061e
Document Type :
article
Full Text :
https://doi.org/10.1016/j.net.2021.06.026