Organ- och effektiv dos i matematiska referensfantom från extern fotonstrålning

Authors:

  • Jalil Bahar Gogani
  • Göran Ågren
  • Sebastian Backman

Publish date: 2016-12-12

Report number: FOI-R--4319--SE

Pages: 59

Written in: Swedish

Keywords:

  • Radiation Dosimetry
  • Computational Phantom
  • Mathematical Phantom
  • MIRD
  • MCNP

Abstract

One of the basic components in the system of radiological protection established by the International Commission on Radiological Protection (ICRP), is the use of reference anatomical and physiological models of the human being for radiation dose assessments. The current report is concerned with this basic component regarding the use of anatomical models. Male and female adult MIRD-5 type stylized phantoms are validated for dose calculation from external photon exposure. The phantoms, MCAP2 and FCAP2, are generated in Monte Carlo N-particle radiation transport code (MCNP) by a dedicated software (Fantomen) developed at the Swedish Defence Research Agency (FOI). In the validation process, dose to specific organs and effective dose have been calculated using the phantom descriptions coupled with MCNP algorithms for absorbed dose simulation. The results are then compared with reference data in ICRP publication. The statistical error in the simulations is 0.14 % at the most and generally well below 0.05 % (1SD). Good agreement is achieved between the simulated and reference data with deviation of about 5 % or less for most of the organs and body parts and the largest discrepancy is less than 12 % for a few organs. The largest differences are observed at low photon energies and generally decrease with increasing energy. The discrepancies can be attributed to the differences in the models being used and are well within the range of the differences reported by other researchers. The FOI phantoms are therefore considered to be suitable serving as standard models for dosimetry. It is also noted that both the reference data and those simulated in this work overestimate the dose to superficial organs. It is therefore recognized that, regarding the superficial organs, the algorithms for dose simulation need to be modified as proposed in this work.