2 papers
stat.AP2026
vPET-ABC: Fast Voxelwise Approximate Bayesian Inference for Kinetic Modeling in PET
Qinlin Gu, Gaelle M. Emvalomenos, Evan D. Morris +2
Dynamic PET kinetic modeling increasingly demands voxelwise uncertainty quantification and robust model selection. Yet total-body PET (TB-PET) data volumes make conventional Bayesi…
physics.med-ph2024
A deep neural network for positioning and inter-crystal scatter identification in multiplexed PET detectors
Francisco E Enriquez-Mier-y-Teran, Luping Zhou, Steven R Meikle +1
Objective: Conventional event positioning algorithms in light-sharing PET detectors are often limited by edge effects and the impact of inter-crystal scattering (ICS). This study e…