The DTI data were preprocessed by PANDA software [14] (link), following these steps: skull removal, correction of eddy-current distortion, and construction of FA maps. The FA maps generated for each patient were then transformed from individual space to a standard Montreal Neurological Institute (MNI) space via spatial normalization, and resliced with a voxel size of 2 mm×2 mm×2 mm. All FA maps were smoothed using an isotropic Gaussian filter with a full-width-at-half-maximum of 6 mm.
Diffusion Tensor Imaging Protocol for Brain Analysis
The DTI data were preprocessed by PANDA software [14] (link), following these steps: skull removal, correction of eddy-current distortion, and construction of FA maps. The FA maps generated for each patient were then transformed from individual space to a standard Montreal Neurological Institute (MNI) space via spatial normalization, and resliced with a voxel size of 2 mm×2 mm×2 mm. All FA maps were smoothed using an isotropic Gaussian filter with a full-width-at-half-maximum of 6 mm.
Corresponding Organization : Sun Yat-sen University
Variable analysis
- Magnetic field strength of the MRI system (3.0 T)
- Fractional anisotropy (FA) maps
- Type of MRI scanner (Siemens Verio)
- Head coil used
- MRI sequences (T1, T2, DTI)
- DTI parameters (21 diffusion-weighted directions, b-value of 1000 s/mm^2, one b0 image, slice thickness, echo time, repetition time, field of view, acquisition matrix, in-plane resolution)
- DTI data preprocessing steps (skull removal, eddy-current distortion correction, FA map construction, spatial normalization, smoothing)
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