Image reconstruction for pet using fuzzy potential

@article{Mondal2004ImageRF,
  title={Image reconstruction for pet using fuzzy potential},
  author={P. Mondal and Kirtana M. Rajan},
  journal={Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine Learning for Signal Processing, 2004.},
  year={2004},
  pages={433-442}
}
Maximum likelihood (ML) and maximum a-posteriori (MAP) are the most widely used algorithms for emission tomography (ET). MAP-approach heavily depends on Gibbs hyper-parameter for noise free reconstruction. Choosing a correct hyper-parameter is difficult and a time consuming task. Recently, the proposed median root prior (MRP) algorithm is a good alternative… CONTINUE READING