Keywords: Myocardium, MR Fingerprinting, Machine Learning/Artificial IntelligenceThis work proposes a high-resolution (1.2x1.2x5 mm3) MR Fingerprinting method for T1, T2, and M0 mapping of both left and right ventricles during a breathhold, with validation in 12 healthy subjects at 1.5T. A key component is the use of a deep image prior reconstruction for reducing noise and undersampling artifacts despite the decreased SNR when moving to higher resolution. Comparable myocardial relaxation times were measured in both ventricles (LV T1 1061+/-22ms, T2 42.2+/-3.4ms; RV T1 1062+/-29ms, T2 42.7+/-2.5ms). Higher-resolution MRF yielded slightly smaller intersubject standard deviation (SD) but larger intrasubject SD compared to a lower-resolution (1.6x1.6x8 mm3) MRF acquisition.
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