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Table 6 Image quality quotation on a 3-point scale, for the PET 33, PET33 + SP, PET50, PET50 + SP and PET100 images

From: Clinical and phantom validation of a deep learning based denoising algorithm for F-18-FDG PET images from lower detection counting in comparison with the standard acquisition

 

PET33

PET33 + SP

PET100

PET50

PET50 + SP

PET100

PET100

PET100 + SP

30 patients

110 patients

20 patients (BMI > 30)

Level 1: insufficient quality, interpretation impossible

25 (83.3%)

4 (13.3%)

0 (0%)

18 (16.3%)

0 (0%)

0 (0%)

0 (0%)

0 (0%)

Level 2: insufficient quality but interpretation possible

5 (16.7%)

18 (60%)

5 (16.7%)

90 (81.8%)

17 (15.5%)

16 (14.5%)

8 (40%)

4 (20%)

Level 3: image of good quality

0 (0%)

8 (26.7%)

25(83.3%)

2 (1.8%)

93 (84.5%)

94 (85.5%)

12 (60%)

16 (80%)