The system uses computer vision and digital twins to simulate dose received by nuclear medicine workers' hands, indicating potential uncertainty sources.
The goal of this research is to create a computational dosimetry system to monitor the dose received by nuclear medicine (NM) workers on their extremities. The system creates multiple Monte Carlo simulations to assess the dose received in different sections of the hands. Each simulation is created based on depth camera images of the manipulation of radioactive sources, using digital twins to represent the hands of the worker and the radiation source. The position of the hands and the source is constantly recalculated using computer vision algorithms. In this paper, we explain the different components of the computational system, assessing the possible sources of uncertainty introduced by each component. As a proof of concept, we compared the dose estimated by the computational system with real dosimeter measurements for two different scenarios. The simulated dose was, on average, 51% of the measured dose.
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Rondón et al. (2025) studied this question.
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