From: Phantom criteria for qualification of brain FDG and amyloid PET across different cameras
PET agent | Vendor, model | Reconstruction parameters | Study | Spatial resolution (mm) | %contrast | Uniformity (SD) | Image noise (CV [%]) |
---|---|---|---|---|---|---|---|
FDG | GE, Advance | FORE + OSEM, subset = 20, iteration = 4, Z-axis; none | J-ADNIa | 7 | 61 | 0.0249 | 13.7 |
Shimadzu, Eminence GM | HDE, FORE-DRAMA, filter cycle = 0, iteration = 4 | 7 | 55 | 0.0249 | 8.8 | ||
Shimadzu, HeadtomeV | FORE + OSEM, subset = 16, iteration = 4, Ramp × BW cf = 8 o = 2 | 7 | 61.6 | 0.0200 | 9.6 | ||
Shimadzu, HeadtomeV | FORE + OSEM, subset = 16, iteration = 4, Ramp x BW cf = 8 o = 2 | 7 | 65.5 | 0.0230 | 9.7 | ||
SIEMENS, biograph Hi-Rez | FORE + OSEM, subset = 14, iteration = 4 | 7 | 64.4 | 0.0130 | 7.6 | ||
SIEMENS, biograph Hi-Rez | FORE + OSEM, subset = 16, iteration = 4 | 7 | 63.1 | 0.0150 | 6.9 | ||
SIEMENS, biograph truePoint | FORE + OSEM, subset = 14, iteration = 4 | 6 | 61.3 | 0.0100 | 7.1 | ||
SIEMENS, biograph Hi-Rez | FORE + OSEM, subset = 16, iteration = 4, Gaussian (XxYxZ = 5.5 × 5.5 × 5.5) | ADNIa | 9 | 52.8 | 0.0120 | 2.73 | |
SIEMENS, ECAT Accel | FORE + OSEM, subset = 16, iteration = 6, Gaussian (XxYxZ = 2.0 × 2.0 × 3.0) | 7 | 54.6 | 0.0200 | 6.03 | ||
Florbetapir | GE, Discovery690 | 3D-iteration, subset = 16, iteration = 4, Gaussian (XxYxZ = 5 mm) | *1 | 7 | 56.9 | 0.0120 | 6.2 |
GE, Discovery690 | 3D-iteration, subset = 18, iteration = 3, Gaussian (XxYxZ = 2 mm), PSF (+) | *2 | 6 | 58 | 0.0110 | 11.7 | |
SIEMENS, biograph Hi-Rez | FORE + OSEM, subset = 16, iteration = 4, Gaussian (XxYxZ = 5.5 × 5.5 × 5.5) | ADNIa | 7 | 62.8 | 0.0120 | 11 | |
SIEMENS, ECAT Accel | FORE + OSEM, subset = 16, iteration = 6, Gaussian (XxYxZ = 2.0 × 2.0 × 3.0) | 7 | 55.4 | 0.0200 | 10 | ||
Flutemetamol | GE, Discovery690 | 3D-iteration, subset = 32, iteration = 3, Gaussian (XxYxZ = 5 mm), TOF (+) | *3 | 6.5 | 55.7 | 0.0230 | 8.8 |
PiB | GE, Advance | FORE + OSEM, subset = 20, iteration = 4, Z-axis; none, Gaussian (XxYxZ = 4 mm) | J-ADNIa | 7 | 58 | 0.0249 | 17.9 |
Shimadzu, Eminence GM | HDE, FORE-DRAMA, filter cycle = 0, iteration = 4, Gaussian (XxYxZ = 4 mm) | 8 | 51 | 0.0249 | 13.7 | ||
Shimadzu, HeadtomeV | FORE + OSEM, subset = 16, iteration = 4, Ramp × BW cf = 8 o = 2, Gaussian (XxYxZ = 4 mm) | 8 | 53.7 | 0.0200 | 18.4 | ||
Shimadzu, HeadtomeV | FORE + OSEM, subset = 16, iteration = 4, Ramp × BW cf = 8 o = 2, Gaussian (XxYxZ = 4 mm) | 7 | 57.7 | 0.0230 | 16.1 | ||
SIEMENS, biograph Hi-Rez | FORE + OSEM, subset = 14, iteration = 4, Gaussian (XxYxZ = 4 mm) | 8 | 59.5 | 0.0130 | 12.4 | ||
SIEMENS, biograph Hi-Rez | FORE + OSEM, subset = 16, iteration = 4, Gaussian (XxYxZ = 4 mm) | 8 | 58.3 | 0.0150 | 11.8 | ||
SIEMENS, biograph truePoint | FORE + OSEM, subset = 14, iteration = 4, Gaussian (XxYxZ = 4 mm) | 8 | 56.4 | 0.0100 | 10.9 | ||
SIEMENS, biograph Hi-Rez | FORE + OSEM, subset = 16, iteration = 4, Gaussian (XxYxZ = 5.5 × 5.5 × 5.5) | ADNIa | 9 | 52.1 | 0.0120 | 7.78 | |
SIEMENS, ECAT Accel | FORE + OSEM, subset = 16, iteration = 6, Gaussian (XxYxZ = 2.0 × 2.0 × 3.0) | 9 | 51.8 | 0.0200 | 20.49 |