Abstract #2820

NOVIFAST: A fast non-linear least squares method for accurate and precise estimation of T1 from SPGR signals

Gabriel Ramos-Llordén¹, Arnold J. den Dekker^1,2, Marcus Björk³, Marleen Verhoye¹, and Jan Sijbers¹

¹University of Antwerp, Antwerp, Belgium, ²Delft University of Technology, Delft, Netherlands, ³Uppsala University, Uppsala, Sweden

The longitudinal relaxation time T1 can be estimated from a set of spoiled gradient recalled echo (SPGR) magnetic resonance images acquired over a range of flip angles with constant repetition time (TR). While linear estimators are widely used because of their low computation time, they are less accurate than their slower nonlinear counterpart¹. In this work, we introduce a novel NOn-linear VarIable Flip Angle data baSed T1 (NOVIFAST) estimator that combines the best of both worlds: high accuracy and precision in a low computation time.

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