DCE imaging is the primary technique for MR evaluation of breast cancer. A key problem is ghosting due to cardiac motion obscuring axillary breast tissue. Addressing this challenge, motion-insensitive technologies such as stack-of-stars acquisition have been proposed, which introduces its own problem of streaking. Based on success with a DL reconstruction to reduce noise, blurring, and ringing, this work investigated re-purposing this deep CNN to also mitigate streaking. Phantom imaging demonstrated improved CNR and more accurate line profiles. 15 patients undergoing a clinical MR exam were scanned with the additional motion-robust method, and images showed reduced structured/unstructured noise and blurring.
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