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Noise equivalent counts (NEC) have been used as a measure or proxy of PET image quality for many years. It has been shown to be a useful metric, for example to determine clinical patient dosage. However, NEC should be used cautiously in evaluating image quality since it is a global data quality measure that does not take into account localized effects due to spatial resolution and image reconstruction,...
In PET imaging, Noise Equivalent Counts (NEC) represents an estimate of the number of true coincidences necessary in an ideal system to reach the Signal-to-Noise Ratio (SNR) obtained in a real system in the presence of scatter and random coincidences. NEC has been shown to be proportional to the square of image SNR and it is used as an index of the general system performance for conventional PET images...
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