Designing an RF pulse or developing a design rule requires a deep understanding of MR physics, and, therefore, is not easy. In this work, we demonstrate that an AI agent can self-learn the design strategy of an RF pulse and successfully generate a complex RF pulse (adiabatic RF) that satisfies given design criteria. The machine-designed pulse has a substantially different shape but shows performance comparable to the conventional adiabatic pulse.
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