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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 Dekker1,2, 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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