Synopsis

In this educational talk we describe AUTOMAP, a generalized image reconstruction method utilizing machine learning end-to-end from raw k-space to the final image, enabling reconstruction of arbitrary spatial encoding schemes and encoding spaces (not limited to Fourier) and also featuring noise-robustness which is produced during the training process.