It is often stated, without qualification, that MRI gradient systems must be precise and/or accurate in order to ensure MRI image quality. Some imperfections (delay, eddy currents) have been well-studied and documented, while others such as noise, ripple, and quantization have not. Here we simulate the impact of white noise in the gradient fields with simple cartesian imaging sequences for a numerical brain phantom. Preliminary results suggest that high-performance/high-cost components typically marketed for gradient control are excessive, and much cheaper components could be used without significant drawbacks (NRMSE < 1%), especially for low-field/low-cost systems.
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