MRzero ‐ Automated discovery of MRI sequences using supervised learning
MRzero ‐ Automated discovery of MRI sequences using supervised learning
Purpose A supervised learning framework is proposed to automatically generate MR sequences and corresponding reconstruction based on the target contrast of interest. Combined with a flexible, task‐driven cost function this allows for an efficient exploration of novel MR sequence strategies. Methods The scanning and reconstruction process is simulated end‐to‐end in …