The injected activity and the acquisition time per bed position for @entity419 PET scans are usually optimized by using metrics obtained from phantom experiments. However, optimal activity and time duration can significantly vary from a phantom set-up and from @entity1 to @entity1 . An approach using a @entity1 -specific noise equivalent count rate (NECR) modelling has been previously proposed for optimizing clinical scanning protocols. We propose using the clinical NECR on a large population as a function of the body mass index (BMI) for deriving the optimal injected activity and acquisition duration per bed position. The relationship between the NEC and the signal-to-noise ratio (SNR) was assessed both in a phantom and in a clinical setting. 491 consecutive @entity1 were retrospectively evaluated and divided into 4 BMI subgroups. Two criteria were used to optimize the injected activity and the time per bed position was adjusted using the NECR value while keeping the total acquisition time constant. Finally, the relationship between NEC and SNR was investigated using an anthropomorphic phantom and a population of 507 other @entity1 . While the first dose regimen suggested a unique injected activity (665   MBq) regardless of the BMI, the second dose regimen proposed a variable activity and a total acquisition time according to the BMI. The NEC improvement was around 35% as compared with the local current injection rule. Variable time per bed position was derived according to BMI and anatomical region. NEC and number of true events were found to be highly correlated with SNR for the phantom set-up and partially confirmed in the @entity1 study for the BMI subgroup under 28   kg   m(-2) suggesting that for the scanner, the nonlinear reconstruction algorithm used in this study and BMI  <  28   kg   m(-2), NEC, or the number of true events linearly correlated with SNR(2).

Clinical NECR in XXXX PET scans: optimization of injected activity and variable acquisition time. Relationship with SNR.

@entity1 :: ('9606', 'Species') :: ['patients', 'patient'] @entity419 :: ('MESH:D019788', 'Chemical') :: ['18F-FDG']
@entity419 :: (MESH:D019788,Chemical) :: ['18F-FDG']
