Cardiac magnetic resonance fingerprinting (cMRF) is a promising framework for quantitative assessment of various cardiomyopathies. One major challenge is cardiac motion. The majority of cMRF methods use ECG triggering and gating to select only certain cardiac phases to reconstruct cMRF data. In this study, we propose an iterative motion-correction approach utilizing the entire cardiac MRF acquisition. Obtained results show an improvement in obtained maps and consistent quantifications of T1 and T2.
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