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Abstract #0611

DeepRF: Designing an RF pulse using a self-learning machine

Dongmyung Shin1 and Jongho Lee1
1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of

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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