Deep learning-based motion quantification from k-space for fast model-based magnetic resonance imaging motion correction.

Incorporating DL in a model-based motion correction algorithm shows great benefit on the optimization and computation time. The k-space-based estimation also allows a data consistent correction and therefore avoids the risk of hallucinations of image-to-image approaches.