Fig. 1 | Scientific Data

Fig. 1

From: Diff5T: Benchmarking human brain diffusion MRI with an extensive 5.0 Tesla k-space and spatial dataset

Fig. 1

Diff5T data processing pipelines. (a) The hardware and acquisition methods used to acquire the data. The Jupiter 5.0 T scanner, the 48-channel head coil, the EPI acquisition technique and the acquisition protocols. (b) The reconstruction pipeline. The dMRI data were pre-whitened and corrected for Nyquist ghosts, then reconstructed using slice-GRAPPA, GRAPPA, and partial Fourier reconstruction methods. The structural images were reconstructed on the scanner. (c) dMRI preprocessing pipeline. The preprocessed dMRI data were obtained following Gibbs ringing removal, susceptibility- and eddy current-induced distortion correction, bias field correction, and final registration to resampled T1-weighted image. (d) dMRI downstream tasks. Fitting the dMRI data to DTI and NODDI models and performing tractography.

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