ViGU: Vision GNN U-Net for Fast MRI

Understand

Deep learning models have been widely applied for fast MRI.

• The majority of existing deep learning models, e.g., convolutional neural networks, work on data with Euclidean or regular grids structures.
• However, high-dimensional features extracted from MR data could be encapsulated in non-Euclidean manifolds.
• This disparity between the go-to assumption of existing models and data requirements limits the flexibility to capture irregular anatomical features in MR data.