Modelagem Computacional Tridimensional de Célula Única e Multicelular utilizando Python para aplicações em microdosimetria e simulação Monte Carlo com a plataforma GATE
DOI:
https://doi.org/10.29384/rbfm.2024.v18.19849001776Keywords:
nuclear medicine, dosimetry, Monte Carlo simulationAbstract
Alpha-emitting radiopharmaceuticals have been used and tested for therapy applications in Nuclear Medicine. Alpha particles have a short particle range in matter (< 100 µm) and a high linear energy transfer. Thus, cellular and multicellular three-dimensional geometric modeling are important to estimate energy deposition in cellular organelles, mainly on the nucleus, which contains DNA. When we combine cellular and multicellular modeling with radiation transport simulations (Monte Carlo), the absorbed dose in the cell can be estimated. Using Python and its libraries, we developed three-dimensional cellular and multicellular models for microdosimetry applications with Monte Carlo simulations, in an image format compatible with the GATE platform. Six different models were generated by Python and imported by GATE platform to estimate absorbed fractions of energy deposited through a 5 MeV alpha particles emission. Single-cell and multicell geometric models imported by GATE platform was successful, demonstrating Python functionality for modeling geometry in image file formats compatible with the GATE platform.
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Copyright (c) 2024 Catherine Costa Oliveira da Silva, Mateus Sabroza Maillard, Lidia Vasconcellos de Sá
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