Preprocessing and features of multimodal MR imaging
Technique | Preprocessing Pipeline | Main Preprocessing Steps | Features after Preprocessing | ROI No. |
---|---|---|---|---|
T1-sMRI (volume) | Voxel-based morphometry | Denoising, bias cleaning, affine registration, segmentation, spatial normalization, volume modulation, smoothing | GM volume | 166 |
WM volume | 166 | |||
CSF volume | 166 | |||
T1-sMRI (surface) | Surface-based morphometry | Surface reconstruction, cortical parcellation, spatial normalization, smoothing | Cortical thickness | 68 |
Gyrification index | 68 | |||
Fractal dimension | 68 | |||
Sulcus depth | 68 | |||
Rs-fMRI | DPARSF standard preprocessing pipeline | Time point removal, section timing, realignment, affine registration, nuisance regression, head motion correction, spatial normalization, metric calculation, smoothing | fALFF | 166 |
Regional homogeneity | 166 | |||
DC | 166 | |||
ASL | CBF quantification pipeline | Coregistration, CBF calculation, partial volume correction, spatial normalization, whole-brain normalization, smoothing | CBF | 166 |
Note:—DPARSF indicates Data Processing Assistant for Resting-State fMRI (Matlab); sMRI, structural MR imaging.