Optimized Monte Carlo simulations for voxel-based internal dosimetry
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Physics in Medicine and Biology
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Objective. The scientific community has considered internal dosimetry by the Monte Carlo method
the gold standard. However, there is a trade-off between simulation processing time and the statistical
quality of the results that makes it a challenge to obtain accurate absorbed dose values in some
situations, such as dose estimation in organs affected by cross-irradiation or limited computing power.
Variance reduction techniques are used to reduce computational processing time without impairing
the statistical quality of the results, such as tracking energy cutoff, secondary particle production
threshold, and parallelism of different types of emissions from radionuclides. Approach.In this work,
GATE Monte Carlo code and its variance reduction techniques were evaluated to calculate S values of
organs from the international commission on radiological protection (ICRP)report 110 male
phantom for the lutetium-177, iodine-131, yttrium-90, and radium-223 radionuclides. The results
are compared with the data from the OpenDose collaboration. Main results. A cutoff of 5 MeV for
local electron deposition and 2.0 mm of secondary particle production range resulted in a
computational efficiency increase of 7.9 and 1.05 times, respectively. Simulation of ICRP 107 spectrabased source proved to be about 5 times more efficient when compared to a decay simulation using
G4RadioactiveDecay (Geant4-based radioactive decay processes). Track length estimator(TLE)
and split exponential track length estimator(seTLE)techniques were used to calculate the absorbed
dose of photon emissions, resulting in computational efficiency up to 29.4 and 62.5 times higher when
compared to traditional simulations, respectively. In particular, the seTLE technique accelerates the
simulation time by up to 1426 times, achieving a statistical uncertainty of 10% in volumes affected by
cross-irradiation. Significance. The variance reduction techniques used in this work drastically reduced
the simulation time and maintained the statistical quality of the calculated absorbed dose values,
proving the feasibility of the use of the Monte Carlo method in internal dosimetry under challenging
situations and making it viable for clinical routine or web applications.
Como referenciar
CORDEIRO, LEANDERSON P.; SA, LIDIA V. de; KITAMIKADO, RAFAEL A.; SAPIENZA, MARCELO T.; BONIFACIO, DANIEL A.B. Optimized Monte Carlo simulations for voxel-based internal dosimetry. Physics in Medicine and Biology, v. 68, n. 11, p. 1-12, 2023. DOI: 10.1088/1361-6560/acd2a1. Disponível em: http://repositorio.ipen.br/handle/123456789/34343. Acesso em: 30 Dec 2025.
Esta referência é gerada automaticamente de acordo com as normas do estilo IPEN/SP (ABNT NBR 6023) e recomenda-se uma verificação final e ajustes caso necessário.