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Monte Carlo modelling of experimental setup used for biodosimetry intercomparison
Dinindu Gunasekara1, Ruth Wilkins1, Frédéric Tessier2
1Environmental and Radiation Health Sciences Directorate, Health Canada 775 Brookfield Rd, Ottawa K1A 1C1, Canada.
Radiation Protection Dosimetry
|September 18, 2023
Summary
Calibration curves for biodosimetry require consistent experimental setups. Health Canada found up to 6.7% dose differences between two phantoms, highlighting the need for careful phantom selection in radiation dose assessment.
Area of Science:
- Medical Physics
- Radiation Dosimetry
- Biodosimetry
Background:
- Biodosimetry relies on calibration curves to determine absorbed dose from ionizing radiation exposure.
- Health Canada (HC) generates these curves using custom phantoms and X-ray machines for various radiation types.
- Two distinct phantoms with differing material composition and geometry are available at HC for sample irradiation.
Purpose of the Study:
- To investigate the impact of interchangeably using two different irradiation phantoms at Health Canada.
- To ensure consistency in absorbed dose assessments derived from biodosimetry techniques.
- To validate a Monte Carlo (MC) model for simulating experimental setups.
Main Methods:
- Experimental measurements were conducted using two custom-designed water-equivalent phantoms.
- A Monte Carlo (MC) model was developed to simulate the irradiation setups.
- The MC model was validated against experimental data.
Main Results:
- Experimental measurements revealed dose differences of up to 6.7% between the two phantoms.
- The developed MC model accurately represented the experimental setups.
- The study identified a need for careful consideration when using the phantoms interchangeably.
Conclusions:
- Interchanging the two HC phantoms can lead to significant variations in absorbed dose assessment.
- A validated MC model can reduce the need for extensive laboratory measurements.
- Standardizing phantom usage or accounting for differences is crucial for reliable biodosimetry at HC.
