방사선의학 웹진

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Abstract
In a large-scale radiation accident, the swift classification of individuals exposed to high levels of radiation is crucial to minimize casualties. In-vivo tooth dosimetry using L-band electron paramagnetic resonance (EPR) spectroscopy is a promising method for this purpose, as it can estimate individual exposure levels rapidly and non-invasively. However, the accuracy of dose estimation associated with this technique remains a great challenge. To enhance the accuracy, digital multiple harmonic detection (MHD) was incorporated into a home-built L-band EPR spectrometer. This approach enabled the utilization of information present in higher harmonics of EPR signals, which has been often discarded in traditional EPR spectroscopy. Acquired multiple harmonic spectra were reconstructed to the first derivative spectrum to merge information and mitigate the signal broadening. The modulation amplitude varied in a range of 0.3–0.7 mT to maximize the accuracy. In a 0.5-min measurement at 0.6 mT, the standard error of inverse prediction (SEIP) was reduced to 0.57 Gy from 0.71 Gy. The statistical significancy of the enhancement was validated. In conclusion, the accuracy enhanced by this MHD can contribute to improving the efficiency of triage systems in the aftermath of a mass radiation accident.

Jeonghun Oh a, Chang Uk Koo a, Jong In Park b, Kwon Choi c, Junyoung Lee a, Hiroshi Hirata d, Sung-Joon Ye c e f g

a
Program in Biomedical Radiation Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, Republic of Korea
b
Ionizing Radiation Metrology Group, Korea Research Institute of Standards and Science, Daejeon, 34113, Republic of Korea
c
Research Institute for Convergence Science, Seoul National University, Seoul, 08826, Republic of Korea
d
Division of Bioengineering and Bioinformatics, Faculty of Information Science and Technology, Hokkaido University, Sapporo 060–0814, Japan
e
Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, Republic of Korea
f
Advanced Institute of Convergence Technology, Seoul National University, Suwon, 16629, Republic of Korea
g
Biomedical Research Institute, Seoul National University Hospital, Seoul 03080, Republic of Korea