Tootfinder

Object independent scatter sensitivities for PET, applied to scatter estimation through fast Monte Carlo simulation
Simon No\"e (KU Leuven), Seyed Amir Zaman Pour (KU Leuven), Ahmadreza Rezaei (KU Leuven), Charles Stearns (GE HealthCare), Johan Nuyts (KU Leuven), Georg Schramm (KU Leuven)
https://arxiv.org/abs/2509.05047

Object independent scatter sensitivities for PET, applied to scatter estimation through fast Monte Carlo simulation
Scattered coincidences introduce quantitative bias in positron emission tomography and must be compensated during reconstruction using an estimated scatter sinogram. These estimates are typically derived from simulators with simplified cylindrical scanner models that omit detector physics. Incorporating detector sensitivities for scatter is challenging, as scattered coincidences exhibit less constrained properties (e.g., incidence angles) than true events. We integrated a 5D single-photon detec…