Generation of list-mode digital dataset by Geant4 for comparison of radionuclide standardization algorithm

The algorithms for radionuclide standardization play a key role in accurate measurement of activity. The implementation of these algorithms requires rigorous validation to build trust and confidence in their application, which can be achieved through participation in algorithm comparisons. This work aims to generate List-Mode Digital Datasets (LMDDs) used for comparison using the Geant4 toolkit. Three models were developed based on the 4πβ(PC)-γ, 4πβ(LS)-γ, and TDCR counting systems, respectively. This paper details the data acquisition, processing, and output in simulations. Additionally, data quality assessment for LMDDs was carried out to ensure that the simulated LMDDs from the Geant4 model is reliable and suitable for algorithm comparison. Feasibility verification of these LMDDs in data analysis were performed using existing radionuclide standardization algorithms. The results demonstrate that these simulated LMDDs exhibit significant potential for application in radionuclide standardization algorithm comparison.