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Effect of a Bayesian penalized likelihood PET reconstruction compared with ordered subset expectation maximization on clinical image quality over a wide range of patient weights

American Journal of Roentgenology Nov 08, 2017

Chilcott AK, et al. - The authors compared background liver signal-to-noise ratio (SNR) and visually assessed image quality of clinical PET/CT studies from the same PET acquisition data reconstructed by Bayesian penalized likelihood (BPL) and ordered subset expectation maximization (OSEM) over a range of patient weights. Compared to OSEM, BPL provided a more consistent visually assessed image quality and liver background SNR, with the greatest benefit for the heaviest patients.
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