Accelerated Regularised List-Mode PET Reconstruction Using Subset Relaxation

PET image reconstruction using regularisation algorithms can provide good image quality and ensure convergence with suitable parameter selections, however they usually require many iterations to do so. A list-mode form of the BSREM regularised algorithm for PET image reconstruction is presented, with an acceleration technique whereby the number of list-mode events used in each subset is increased with increasing iteration number. This allows for quick convergence in early iterations, and avoids noise propagation from "small" subsets as well as limit cycles in later iterations.