Open AccessSpecific absorbed fractions of internal photon and electron emitters in a human voxel-based phantom: A monte carlo study
Author(s) -
Ruhollah Ghahraman Asl,
Ali Asghar Parach,
Shahrokh Nasseri,
Mehdi Momennezhad,
Seyed Rasoul Zakavi,
Hamid Reza Sadoughi
Publication year - 2017
Publication title -
world journal of nuclear medicine
Language(s) - English
Resource type - Journals
eISSN - 1607-3312
pISSN - 1450-1147
DOI - 10.4103/1450-1147.203065
Subject(s) - monte carlo method , imaging phantom , physics , photon , electron , voxel , absorbed dose , irradiation , atomic physics , computational physics , nuclear medicine , nuclear physics , medicine , optics , statistics , radiology , mathematics
The specific absorbed fraction (SAF) of energy is an essential element of internal dose assessment. Here reported a set of SAFs calculated for selected organs of a human voxel-based phantom. The Monte Carlo transport code GATE version 6.1 was used to simulate monoenergetic photons and electrons with energies ranging from 10 keV to 2 MeV. The particles were emitted from three source organs: kidneys, liver, and spleen. SAFs were calculated for three target regions in the body (kidneys, liver, and spleen) and compared with the results obtained using the MCNP4B and GATE/GEANT4 Monte Carlo codes. For most photon energies, the self-irradiation is higher, and the cross-irradiation is lower in the GATE results compared to the MCNP4B. The results show generally good agreement for photons and high-energy electrons with discrepancies within - 2% ±3%. Nevertheless, significant differences were found for cross-irradiation of photons of lower energy and electrons of higher energy due to statistical uncertainties larger than 10%. The comparisons of the SAF values for the human voxel phantom do not show significant differences, and the results also demonstrated the usefulness and applicability of GATE Monte Carlo package for voxel level dose calculations in nonuniform media. The present SAFs calculation for the Zubal voxel phantom is validated by the intercomparison of the results obtained by other Monte Carlo codes.