Fig. 2: The preparation of the training dataset and a comparison of different methods.
From: A deep unrolled neural network for real-time MRI-guided brain intervention
a A simulated dataset of brain intervention was prepared. b A comparison of different methods. 10 spokes were used for the reconstruction of each frame (acceleration factor R = 20). Five frames per group were used for L + S, LSFP, CRNN, SLR-Net, L + S-Net, and LSFP-Net. c The magnified view of the interventional features. The area of the interventional feature is indicated by the red dashed box in b. d–f The quantitative metrics of the different methods. The pixel values were normalized without dimension. d, e The data are presented as mean values \(\pm\) standard deviation, and the sample size is n = 64. Source data of d–f are provided as a Source Data file.
