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Abstract #2710

Fat Fraction Bias Correction using Estimated T1 Values

Issac Yiqun Yang1, Curtis Nathan Wiens2, Lanette Friesen-Waldner1, Charles Andrew McKenzie1,2

1Medical Biophysics, University of Western Ontario, London, Ontario, Canada; 2Physics & Astronomy, University of Western Ontario, London, Ontario, Canada

Synopsis: Using small flip angles with IDEAL-SPGR acquisitions reduces T1 bias in fat fraction quantification at the cost of decreased SNR. Since the exact T1 values are unknown, bias correction using estimated T1s was investigated. Simulations were used to determine theoretical decrease in fat fraction bias using T1s of various deviations. Measurement of T1 bias in phantoms of various fat fractions demonstrated that fat fraction bias can be reduced with estimated T1s, even when those values are significantly different from the true T1. This suggests that using estimated T1s can be a simple but effective means of fat fraction bias correction.