Quantitative T1, fat fraction, and R2* show promise for characterizing chronic liver diseases. We develop a dual-flip-angle MultiTasking Multi-Echo (MT-ME-dFA) technique to achieve B1+ insensitive, whole-liver joint T1/water-specific T1(T1w), fat fraction(PDFF), and R2* quantification. Respiratory motion is resolved through multidimensional low-rank tensor imaging, and B1+ robustness is achieved by modeling the inversion recovery with two alternating flip angles. Compared to the previously published single-flip-angle MT-ME approach, intra-subject variation on T1/T1w maps was substantially reduced; stronger correlation was achieved for T1/T1w, PDFF and R2* with references on phantom; root-mean-square of intra-subject T1/T1w variation was substantially reduced from 72ms/63ms to 39ms/31ms.
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