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Table 4 Results of quantitative PET image assessment for different reconstruction algorithms including maximum standardized uptake value (SUVmax) of the primary lung tumor, tumor signal-to-background ratio (SBR), tumor signal-to-noise ratio (SNR), contrast-to-background ratio (CBR), and contrast-to-noise ratio (CNR). Italicized numbers are the reconstructed datasets yielding the highest values for given parameters

From: Impact of a Bayesian penalized likelihood reconstruction algorithm on image quality in novel digital PET/CT: clinical implications for the assessment of lung tumors

  OSEM BSREM
OSEMTOF TOFPSF BSREM350 BSREM450 BSREM600 BSREM800 BSREM1200
SUVmax        
 Mean 11.9 12.7 15.0 14.5 14.0 13.4 12.8
 Median 11.7 12.8 14.3 14.2 13.8 13.4 12.9
 Range 3.6–25.2 3.5–26.7 4.0–30.4 3.8–29.9 3.6–29.2 3.4–28.4 3.2–27.5
SBR        
 Mean 6.9 7.4 8.8 8.5 8.1 7.6 7.3
 Median 6.7 7.3 8.7 8.4 7.9 7.7 7.3
 Range 1.9–12.8 1.8–13.6 2.1–16.6 1.9–16.0 1.8–15.3 1.7–14.6 1.6–13.8
SNR        
 Mean 41.7 48.3 51.1 55.4 62.6 70.2 82.3
 Median 38.9 43.5 48.5 51.7 58.0 64.3 75.6
 Range 11.6–81.1 11.9–92.1 11.1–101.4 11.9–103.1 13.3–116.7 14.9–135.3 16.7–161.9
CBR        
 Mean 3.1 3.4 4.1 4.0 3.8 3.6 3.4
 Median 3.1 3.4 3.8 3.8 3.5 3.4 3.3
 Range 0.2–6.5 0.1–7.0 0.2–8.2 0.1–7.8 0.1–7.6 0.1–7.2 0.04–6.8
CNR        
 Mean 18.8 22.2 23.8 26.0 29.3 32.8 38.3
 Median 18.1 20.3 21.6 23.8 26.7 29.4 34.0
 Range 1.0–40.0 0.9–44.9 1.0–49.3 0.9–50.0 0.8–56.7 0.6–65.7 0.4–78.4
  1. BSREM block sequential regularized expectation maximization, OSEM ordered subset expectation maximization, PSF point spread function modelling, TOF time of flight