Diffusion MRI commonly acquires multiple diffusion volumes (directions), which shares plentiful common features. In this work, we propose integrating Gaussian Processes into image reconstruction to utilize the shared information between diffusion volumes to reduce image artefacts associated with parallel imaging.
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