To develop an accurate and precise liver 3D mapping method using only scanner-agnostic sequences. While the spoiled gradient-recalled echo sequence is widely available on clinical scanners, variable flip angle mapping methods based on this sequence provide biased estimates, with the largest systematic error arising from inhomogeneities. To correct for this, the flip angle was mapped using a 2D gradient-echo double-angle method approach. To correct for the confounding effect of fat on liver and , Dixon and fat saturation techniques were used in combination with the variable flip angle and the map acquisitions, respectively. The and mapping methods were validated with a -phantom against gold standard methods. An intra- and inter-repeatability study was conducted at 3T in 10 healthy individuals' livers. The developed 3D mapping method achieved an excellent agreement with the gold standard, with a weighted root mean squared normalized error below 2.8%. In vivo, a median standard deviation of 31 ms and an interquartile range of [27, 39] ms was achieved across all measurements, including the intra- and inter-repeatability study data. A within-subject standard deviation for of 21 ± 5 ms had a corresponding repeatability coefficient of 60 ms. The measured values agree well with MOLLI and SASHA mapping methods, with average differences of 5%. Accurate and precise 3D liver measurements can lead the way to the wider adoption of a clinically feasible measurement as a marker of hepatic fibro-inflammation.
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