Abstract: A method for acquiring a magnetic resonance image dataset of a body part of a subject includes acquiring a low-resolution magnetic resonance image of the body part, optionally acquiring a reference set of additional k-space lines within a central region of k-space, and acquiring further sets of additional k-space lines within a central region of k-space at intervals throughout the imaging protocol. The method includes applying a trained machine learning model to a dataset including the low-resolution image in k-space notation and a further set of additional k-space lines. A set of pose parameters is generated. The pose parameters are used for prospective and/or retrospective motion correction of the magnetic resonance image dataset.

Abstract: Systems and Methods that identify the effect of motion during a medical imaging procedure. A neural network is trained to translate motion induced deviations of a coil-mixing matrix relative to a reference acquisition into a motion score. This score can be used for the prospective detection of the most corrupted echo trains for removal or triggering a replacement by reacquisition.

Abstract: Systems and Methods that identify the effect of motion during a medical imaging procedure. A neural network is trained to translate motion induced deviations of a coil-mixing matrix relative to a reference acquisition into a motion score. This score can be used for the prospective detection of the most corrupted echo trains for removal or triggering a replacement by reacquisition.