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Monte Carlo Simulations of an Anthropomorphic Phantom for Molecular Radiotherapy (MRT) with GATE.
[Thesis]. Manchester, UK: The University of Manchester; 2015.
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Abstract
A method for simulating an anthropomorphic phantom and radioisotope distribution using a Monte Carlo based code is presented. A voxel-based simulation of a Jaszczak phantom was performed and the results compared to both a previously validated geometric-based simulation and experimental data. The method was then extended to create a voxel-based simulation of an anthropomorphic phantom which was validated using an equivalent data set. Good agreement is observed between the voxel-based and geometric-based Jaszczak phantom simulations, but it is noted that for complete agreement, it is crucial that the source distribution is fully aligned to the phantom geometry. With regards to the anthropomorphic phantom simulation, an excellent agreement is observed, which suggests that the activity distribution has been accurately aligned with the phantom. The method proposed can be extended to any arbitrary geometry, with the condition that the activity distribution has been accurately aligned to the phantom geometry.