Table 2 Parameters of the MR imaging datasets.
From: Brain imaging signatures of neuropathic facial pain derived by artificial intelligence
Dataset | Scanner | Population | Parameters of imaging data |
|---|---|---|---|
Local UHN dataset | 3 T GE Signa HDx | TN, Chronic facial pain (n = 371) | T1: voxel size = 1 mm, matrix = 256 × 256, flip angle = 20°, FOV = 24 cm) DWI: 60 or 30 diffusion gradient directions, 1 B0, b = 1000 s/mm2, voxel size = 3 mm, matrix = 256 × 256, flip angle = 90° |
Recruited healthy control | 3 T GE Signa HDx | Healthy population (n = 62) | T1: voxel size = 1 mm, matrix = 256 × 256, flip angle = 20°, FOV = 24 cm DWI: 60 or 30 diffusion gradient directions, 1 B0, b = 1000 s/mm2, voxel size = 3 mm, matrix = 256 × 256, flip angle = 90° |
Cam-CAN | 3 T Siemens TIM Trio | Healthy population (n = 46) | T1: voxel size = 1 mm, matrix = 256 × 240, flip angle = 9°, FOV = 25.6 cm DWI: 30 diffusion gradient directions, B0, b = 1000/2000s/mm2 (b1000 shell was used). voxel size = 2 mm |