Munir Pathan, Suresh M Pradhan, Selvam T Palani, Balvinder Kaur Sapra
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Three approaches were demonstrated for the implementation of Hp: a linear equation-based method, a non-linear equation approach, and a multi-stage machine learning model. The results indicate that all methods achieved promising accuracy in dose estimation, with the machine-learning model exhibiting a slight advantage. Notably, approximately 99% of the estimated doses fell within ±30% of the actual delivered dose, underscoring the reliability of these approaches for practical application.
The present study highlights the distinct advantage of multi-element passive dosimeters, demonstrating their capability to accommodate Hp without necessitating significant design modifications. Through a systematic approach for estimating Hp, this study establishes the efficacy of multi-element passive dosimeters as a viable solution for the implementation of ICRU-95 operational quantities in personnel monitoring systems.
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引用次数: 0
Abstract
The introduction of ICRU Report 95 marks a revision of operational quantities for individual monitoring due to external radiation exposures. This revision has a major impact, particularly in low photon energy range (20-100 keV), where the conversion coefficients of existing [(Hp(10)] and new [(Hp)] operational quantities for whole body dose differ by a factor up to 5. The shift from Hp(10) to Hp poses considerable challenges for its integration into existing personnel dosimetry systems. This is particularly relevant to the diagnostic radiology sector, where photon energies predominantly range between 20 and 100 keV and approximately 70% of monitored occupational workers are from this sector. In this context, the present study investigates the feasibility of implementing the updated operational quantities for multi-element passive dosimetry systems, such as CaSO4:Dy-based thermoluminescent dosimeters and outlines a systematic approach.
Three approaches were demonstrated for the implementation of Hp: a linear equation-based method, a non-linear equation approach, and a multi-stage machine learning model. The results indicate that all methods achieved promising accuracy in dose estimation, with the machine-learning model exhibiting a slight advantage. Notably, approximately 99% of the estimated doses fell within ±30% of the actual delivered dose, underscoring the reliability of these approaches for practical application.
The present study highlights the distinct advantage of multi-element passive dosimeters, demonstrating their capability to accommodate Hp without necessitating significant design modifications. Through a systematic approach for estimating Hp, this study establishes the efficacy of multi-element passive dosimeters as a viable solution for the implementation of ICRU-95 operational quantities in personnel monitoring systems.
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期刊介绍:
Journal of Radiological Protection publishes articles on all aspects of radiological protection, including non-ionising as well as ionising radiations. Fields of interest range from research, development and theory to operational matters, education and training. The very wide spectrum of its topics includes: dosimetry, instrument development, specialized measuring techniques, epidemiology, biological effects (in vivo and in vitro) and risk and environmental impact assessments.
The journal encourages publication of data and code as well as results.