Fast Monte Carlo codes for occupational dosimetry in interventional radiology

Purpose Interventional radiology techniques cause radiation exposure both to patient and personnel. The dose the operator is usually measured with dosimeters located at specific points above or below lead aprons. aim of this study develop validate two fast Monte Carlo (MC) codes for transport in order improve assessment individual doses interventional radiology. proposed methodology reduces number required dosemeters provides immediate results. Methods Two MC simulation codes, PENELOPE/penEasyIR MCGPU-IR, have been developed. Both validated by comparing calculations multipurpose PENELOPE code measurements during a realistic procedure. Results new were tested computation time about 120 s estimate while standard needs several days obtain similar uncertainties. When compared calculation simple set-ups, MCGPU-IR tends underestimate (up 5%), overestimates them 18%). experimental values differences are within 25%. These accepted uncertainties monitoring. Conclusion highlights fact that computational dosimetry based on use can provide good estimates personal equivalent overcome some limitations occupational monitoring Notably, calculates organ effective dose, providing better risk.