PURPOSE: We evaluated the impact of simultaneous emission and transmission (SET) measurements of quantification and noise in neurological PET studies. METHOD: Bias in SET was measured as a function of emission count rate and used to predict distortion in simulated FDG tissue curves and its effect on model parameter estimates. Studies were performed on a brain phantom and a patient to verify predicted bias and examine the effect of SET on noise. RESULTS: In static imaging, SET underestimated tracer concentration by approximately 2%. In kinetic studies, tracer concentration was overestimated initially and underestimated during the mid to late part of the study, but bias in measurement of glucose metabolic rate was < 5% by simulation and < 10% in the patient study. SET imaging takes 10% longer than the emission part of a conventional scan to achieve comparable statistics. CONCLUSION: Accurate neurological PET studies can be performed with SET. The relatively small bias can be predicted and potentially corrected.
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Meikle et al. (1997) studied this question.
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