Monte Carlo simulation of enriched uranium in the lungs of thorax voxel phantom for assessment of enrichment and its effect on dose
Autor: | I. S. Singh, H. K. Patni, M. Y. Nadar, Lokpati Mishra, Pramilla D. Sawant, D. K. Akar |
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Rok vydání: | 2020 |
Předmět: |
Materials science
Monte Carlo method chemistry.chemical_element Radiation 010403 inorganic & nuclear chemistry Enriched uranium computer.software_genre Radiation Dosage 01 natural sciences Imaging phantom 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Voxel Radiation Monitoring Humans Lung Phantoms Imaging Natural uranium Uranium 0104 chemical sciences Semiconductor detector chemistry computer Monte Carlo Method Biomedical engineering |
Zdroj: | Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine. 173 |
ISSN: | 1872-9800 |
Popis: | In-vivo lung monitoring is an important technique for the assessment of internal dose of radiation workers handling actinides. At BARC, counting efficiencies (CEs) of detection systems used for estimation of natural uranium in the lungs are evaluated using realistic thorax physical phantoms or computational voxel phantoms. The quantification of 238U and 235U in lungs is done using CEs determined at 63.3 keV and 185.7 keV photon energies respectively. These CEs can also be used for assessment of enriched uranium in the lungs of the workers. In this study, spectra are generated for HPGe array detectors using Monte Carlo simulations of various enriched uranium compositions distributed in the lungs of thorax voxel phantom. A methodology is developed to predict the 235U enrichment from lung spectrum analysis using the ratio of net counts in 185.7 keV and 63.3 keV energy regions. It is possible to estimate enrichments in the range of 2%–30% using the developed method with less than ±9% error. Finally, effect of 235U enrichment on dose assessment using lung monitoring method is studied. |
Databáze: | OpenAIRE |
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