The signal-to-noise ratio (SNR) is a key metric of imaging performance, however many formulations do not account for relaxation properties and sequence timing effects, which play a decisive role when studying the effect of static field strength $$$B_0$$$ on SNR. We have developed first-principle simulations that incorporate these effects in order to estimate SNR scaling relations, and show that SNR can deviate significantly from previous scaling laws, specifically for lower field strengths and when sequence restrictions apply.
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