A focus-of-attention preprocessing scheme for EM-ML PET reconstruction

Abstract

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)
DOI: 10.1109/42.563667

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Cite this paper

@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} }