In this study, we propose a novel reconstruction framework for myocardial T1 mapping based on a dictionary-based reconstruction algorithm that simultaneously reduces scan time while compensating for respiratory and cardiac-induced motions between different T1-weighted images of T1 mapping sequence.
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