Fig. 1

Network architecture. Chosen residual U-Net architecture used for 3D single volume super-resolution. The input is given by the low-resolution WH-bSSFP images. The numbers on top of the blue bars denote the number of channels for each layer. The resolution for each multilevel decomposition is shown on the left. Each convolutional layer is equipped with a Rectified Linear Unit as nonlinearity, given by ReLU(x) = max(x,0)