TY - JOUR
T1 - Computational system for extremity dosimetry in nuclear medicine
AU - Santiago Rondón, Daniel
AU - Lombardo, Pasquale
AU - Abdelrahman, Mahmoud
AU - Struelens, Lara
AU - Vanhavere, Filip
AU - Schoonjans, Werner
AU - Bergans, Niki
N1 - Score=10
Publisher Copyright:
© 2025 Society for Radiological Protection. Published on behalf of SRP by IOP Publishing Limited. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
PY - 2025/12/1
Y1 - 2025/12/1
N2 - The goal of this research is to create a computational dosimetry system to monitor the dose received by nuclear medicine 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.
AB - The goal of this research is to create a computational dosimetry system to monitor the dose received by nuclear medicine 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.
KW - Computational dosimetry
KW - Computer vision
KW - Monte Carlo simulations
KW - Nuclear medicine
UR - https://www.scopus.com/pages/publications/105018318459
U2 - 10.1088/1361-6498/ae0a5b
DO - 10.1088/1361-6498/ae0a5b
M3 - Article
C2 - 40987303
AN - SCOPUS:105018318459
SN - 0952-4746
VL - 45
JO - Journal of Radiological protection
JF - Journal of Radiological protection
IS - 4
M1 - 041502
ER -