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Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
Published on: March 11, 2021
Fast Monte Carlo codes for occupational dosimetry in interventional radiology.
V García Balcaza1, A Camp1, A Badal2
1Institut de Tècniques Energètiques, Universitat Politècnica de Catalunya (UPC), Barcelona 08028, Spain.
Two novel fast Monte Carlo (MC) codes, PENELOPE/penEasyIR and MCGPU-IR, significantly accelerate radiation dose assessment for interventional radiology personnel. These computational dosimetry tools offer rapid and improved individual dose estimations, enhancing occupational safety.
Area of Science:
- Medical Physics
- Computational Dosimetry
- Radiation Protection
Background:
- Interventional radiology procedures involve significant radiation exposure for both patients and healthcare professionals.
- Current occupational dosimetry methods rely on dosimeters placed at specific locations, which may not fully represent individual operator dose.
- Accurate assessment of radiation dose is crucial for ensuring the safety of personnel in interventional radiology settings.
Purpose of the Study:
- To develop and validate two fast Monte Carlo (MC) simulation codes for improved radiation transport assessment in interventional radiology.
- To enhance the accuracy and efficiency of individual dose estimations for interventional radiology operators.
- To reduce the reliance on multiple dosimeters and provide immediate dose results.
Main Methods:
- Development of two fast MC simulation codes: PENELOPE/penEasyIR and MCGPU-IR.
- Validation of the fast MC codes through comparison with the multipurpose PENELOPE MC code.
- Experimental validation using measurements from a realistic interventional radiology procedure.
Main Results:
- The developed fast MC codes achieved dose estimations in approximately 120 seconds, compared to several days for standard simulations.
- MCGPU-IR showed a dose underestimation of up to 5%, while PENELOPE/penEasyIR overestimated doses by up to 18% in simple setups.
- Both fast MC codes demonstrated differences within 25% when compared to experimental values in realistic setups, which is within accepted uncertainties for individual monitoring.
Conclusions:
- Computational dosimetry using fast MC codes provides reliable estimates of personal dose equivalent in interventional radiology.
- These methods overcome limitations associated with traditional occupational monitoring in interventional radiology.
- MCGPU-IR offers a more comprehensive risk assessment by calculating organ and effective doses.
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