The expectation-maximization maximum-likelihood (EM-ML) algorithm belongs to a family of algorithms that compute positron emission tomography (PET) reconstructions by iteratively solving a large linear system of equations. The authors describe a preprocessing scheme for automatically focusing the attention, and thus the computational resources, on a subset… (More)

@article{Gregor1997AFP,
title={A focus-of-attention preprocessing scheme for EM-ML PET reconstruction},
author={Jens Gregor and Dean A. Huff},
journal={IEEE Transactions on Medical Imaging},
year={1997},
volume={16},
pages={218-223}
}