System and method for detecting motion-ridden shots in multi-shot acquisitions and utilizing deep learning based reconstruction for motion correction

Abstract

A method includes obtaining k-space data, wherein a plurality of navigator like echoes of the k-space data including an additional navigator like echo are acquired for each shot or a group of shots. The k-space data is motion corrupted. The method includes identifying any shots where a subject moved during acquisition based on the respective additional navigator like echoes. The method includes generating dominant pose k-space data based on identification of any shots where the subject moved during acquisition, the dominant pose k-space data includes only shots not affected by movement, wherein the dominant pose k-space data is missing k-space data due to rejecting the shots where the subject moved. The method includes utilizing a deep learning-based reconstruction model on the motion-corrupted k-space data to modify motion-corrupted k-space data with k-space data that is consistent with the dominant pose k-space data to generate a reconstructed image.