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Table 2 The results of SNR and CNR between different image reconstructions in the proximal and distal segments of coronary arteries

From: Super-resolution deep learning image reconstruction: image quality and myocardial homogeneity in coronary computed tomography angiography

Parameter

FBP

Hybrid IR

DLR

SR-DLR

P-value

SNR

 Proximal

  RCA

20.4 ± 8.0

27.9 ± 10.0

35.0 ± 11.1

43.8 ± 17.6

0.001

  LMA

18.2 ± 7.5

25.6 ± 9.0

33.8 ± 10.4

40.8 ± 12.5

0.001

  LAD

19.7 ± 7.9

26.4 ± 8.6

35.0 ± 11.2

43.1 ± 13.9

0.001

  LCX

19.9 ± 7.7

26.6 ± 8.9

36.1 ± 12.4

45.6 ± 17.9

0.001

 Distal

  RCA

17.1 ± 7.4

23.9 ± 9.6

32.1 ± 12.0

42.4 ± 16.1

0.001

  LAD

20.7 ± 8.4

27.6 ± 10.4

34.3 ± 13.3

46.4 ± 17.1

0.001

  LCX

20.9 ± 8.7

27.9 ± 9.9

33.1 ± 10.8

45.5 ± 19.5

0.001

CNR

 Proximal

  RCA

16.8 ± 8.2

22.4 ± 8.5

27.3 ± 8.7

36.2 ± 12.3

0.001

  LMA

16.3 ± 7.6

22.1 ± 7.6

27.6 ± 7.7

36.6 ± 11.4

0.001

  LAD

16.6 ± 8.3

22.3 ± 8.3

27.0 ± 8.4

36.5 ± 12.2

0.001

  LCX

16.3 ± 7.6

21.6 ± 8.0

26.7 ± 8.3

36.3 ± 12.1

0.001

 Distal

  RCA

15.9 ± 7.6

21.2 ± 8.0

25.3 ± 8.3

34.9 ± 12.0

0.001

  LAD

17.0 ± 8.1

22.5 ± 8.2

26.4 ± 8.6

36.4 ± 12.5

0.001

  LCX

16.3 ± 7.6

21.5 ± 7.8

25.7 ± 7.9

36.3 ± 12.1

0.001

  1. Values are presented as mean ± standard deviation
  2. SNR Signal to noise ratio, CNR Contrast to noise ratio, FBP Filtered-back projection, IR Iterative reconstruction, DLR Deep learning image reconstruction, SR Super-resolution, RCA Right coronary artery, LMA Left main coronary artery, LAD Left anterior descending artery, LCX Left circumflex artery