Desenvolvimento e validação de um software para estudo de dosimetria numérica com os objetos simuladores da Publicação 145 da ICRP

Abstract

The resolution of virtual anthropomorphic simulator objects has increased over the years, allowing for a more reliable reproduction of the human body. The ICRP Publication 145 reference simulator objects (MRCPs) are an evolution of ICRP Publication 110 objects and are now available in polygonal meshes. Using MRCPs in numerical dosimetry research opens new possibilities using 3D editing tools. Analyzing the results of simulations in MCNP using these simulator objects can be time-consuming and prone to errors owing to the amount of data and various calculations required to obtain the dose deposited in a given organ. This work proposes and describes the development and validation of a procedure for studying numerical dosimetry using MRCPs and concludes with the creation of a software called DoseCV to help process the output data from MCNP simulations, but may be used with other codes, with minor modifications. POLY2TET software was used to tetrahedralize the MRCPs and create a standard simulation scenario equivalent to those presented in ICRP Publications 116 and 145. The use of POLY2TET was validated by obtaining dose coefficient (DC) data like those in the article presenting POLY2TET. The use of MRCPs in simulations using MCNP and data processing using DoseCV was validated by comparing the DC values (pGy.cm²) from ICRP Publication 116 for the target tissues of the MRCPs, which were exposed to the same scenarios as the Publications. In general, considering the DCs found for the six simulated energies, an error of less than 5% was obtained for 88.9% of the target tissues of MRCP-AF and 76.7% of MRCP-AM. In the first version, DoseCV converts tally data into a dose coefficient (DC), equivalent dose conversion coefficient (CC[HT]), effective dose conversion coefficient (CC[E]), equivalent dose (HT), and effective dose (E). The use of DoseCV proved to be an effective tool for processing data from the MCNP simulations.