This work proposes a neutral measure of encoding efficiency per square-root of time excluding any effects of image reconstruction from the analysis in order to compare spoiled gradient-echo based Magnetic Resonance Fingerprinting and steady-state methods for $$$T_1$$$ and $$$T_2$$$ estimation. The results obtained indicate that gradient spoiled Fingerprinting is up to $$$50\%$$$ more efficient per square-root-time than steady-state methods. The optimal sequences of pulses found have striking features with different duration fingerprint strategies having highest efficiency under different boundary conditions.
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