Abstract #2710

Fat Fraction Bias Correction using Estimated T1 Values

Issac Yiqun Yang¹, Curtis Nathan Wiens², Lanette Friesen-Waldner¹, Charles Andrew McKenzie^1,2

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.