A Bayesian MAP-EM Algorithm for PET Image Reconstruction Using Wavelet Transform

@article{Zhou2007ABM,
  title={A Bayesian MAP-EM Algorithm for PET Image Reconstruction Using Wavelet Transform},
  author={Jian Yi Zhou and Jean-Louis Coatrieux and Alexandre Bousse and Huazhong Shu and Limin Luo},
  journal={IEEE Transactions on Nuclear Science},
  year={2007},
  volume={54},
  pages={1660-1669}
}
In this paper, we present a PET reconstruction method using the wavelet-based maximum a posteriori (MAP) expectation-maximization (EM) algorithm. The proposed method, namely WV-MAP-EM, shows several advantages over conventional methods. It provides an adaptive way for hyperparameter determination. Since the wavelet transform allows the use of fast algorithms, WV-MAP-EM also does not increase the order of computational complexity. The spatial noise behavior (bias/variance and resolution) of the… CONTINUE READING
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