Introduction - If you have any usage issues, please Google them yourself
From the ML-EM reconstruction algorithm start with an analysis of Bayesian model some of the key points, the use of traditional methods for solving the problem of the limitations of MAP, a positron imaging for the Bayesian neural network algorithm, in order to to retain the edge information, the introduction of binary variables edge security, and application of neural network for solving the conjugate, the reconstruction of simulated results show that the algorithm can be more than ML-EM image reconstruction algorithm better @