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Abstract #2186

First-Principle Image SNR Synthesis Depending on Field Strength

Charles McGrath1, Mohammed M Albannay1, Alexander Jaffray1, Christian Guenthner1, and Sebastian Kozerke1
1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland

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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