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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