Figure 3.
Evaluation of the performance of the deep-learning MRF reconstruction using Bloch equation-based numerical phantoms and BSA phantoms. (A) Tissue parameter maps estimated from the Recon-FCNN and Recon-RNN reconstruction networks. (B) Comparison of average reconstruction accuracy between Recon-FCNN and Recon-RNN across varied SNR levels. (C) Cross-linked BSA phantom validation experiments. kmw and F maps were estimated by deepBS-RNN/recon-RNN. The mean value of each ROI is shown in the insert (white).