Monte Carlo modelling of experimental setup used for biodosimetry intercomparison
- 1. Environmental and Radiation Health Sciences Directorate, Health Canada 775 Brookfield Rd, Ottawa K1A 1C1 (Canada)
- 2. Ionizing Radiation Standards, National Research Council Canada 1200 Montreal Rd, Ottawa K1A 0R6 (Canada)
Description
When using biodosimetry techniques to assess absorbed dose from an ionising radiation exposure, a calibration curve is required. At Health Canada (HC), these curves are generated for a variety of radiation qualities and assays to translate biological damage into absorbed dose. They are produced by irradiating biological samples in custom-designed water-equivalent phantoms inside a cabinet X-ray machine. In the HC lab, two different phantoms can be used for irradiation that differs in material composition and internal geometry. To ensure consistency, the impact of using the phantoms interchangeably was investigated. This was done through lab measurements and the development of a Monte Carlo (MC) model. Differences up to 6.7% were found between the two experimental setups, indicating the need for careful consideration if using these setups interchangeably in the laboratory. Once validated, the MC model can be used to investigate different aspects of the experimental setup without the need for laboratory measurements. (authors)
Additional details
Identifiers
- DOI
- 10.1093/rpd/ncad166;
Publishing Information
- Journal Title
- Radiation Protection Dosimetry
- Journal Volume
- 199
- Journal Issue
- 14
- Journal Page Range
- p. 1551-1556
- ISSN
- 0144-8420
Conference
- Title
- 2022 EPR Biodose Conferences
- Dates
- 28-30 Mar 2022; 7-10 Jun 2022
- Place
- Okayama (Japan); Fontenay-aux-Roses (France)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- France
- INIS RN
- 55005592
- Subject category
- S61: RADIATION PROTECTION AND DOSIMETRY;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ABSORBED RADIATION DOSES; CALIBRATION; COMPUTERIZED SIMULATION; DESIGN; GEOMETRY; IRRADIATION; MONTE CARLO METHOD; PHANTOMS; RADIATION QUALITY; X RADIATION
- Descriptors DEC
- CALCULATION METHODS; DOSES; ELECTROMAGNETIC RADIATION; IONIZING RADIATIONS; MATHEMATICS; MOCKUP; RADIATION DOSES; RADIATIONS; SIMULATION; STRUCTURAL MODELS
Optional Information
- Notes
- 8 refs.