sMLACF: a generalized expectation-maximization algorithm for TOF-PET to reconstruct the activity and attenuation simultaneously Vrije Universiteit Brussel
The 'simultaneous Maximum-Likelihood Attenuation Correction Factors' (sMLACF) algorithm presented here, is an iterative algorithm to calculate the maximum-likelihood (ML) estimate of the activity 'λ' and the attenuation factors 'a' in time-of-flight (TOF) positron emission tomography (PET), and this from emission data only. Hence sMLACF is an alternative to the MLACF algorithm. sMLACF is derived using the generalized expectation-maximization ...