The Distributed Method to Birdcage RF Coils Optimization Based on Multi-Agent Theory

In this paper, we present a distributed method for birdcage Radio Frequency (RF) coils optimization model. This method can optimize the birdcage coil when doing magnetic resonance imaging (MRI) to improve their efficiency and performance. We first assume that the birdcage RF coils are the multi-Agent systems, which are usually nonlinear system in practice. Each rung in the birdcage RF coils cage is an agent. Then we employ the distributed optimization algorithm framework, integrating the gradient algorithm to design and optimize the structure of high pass birdcage coils. The algorithm always converges globally. Therefore, it can achieve the goals of increased transmission efficiency and reduced power consumption. The simulation test results are provided to validate that the MRI birdcage RF coils imaging can always get the globally optimal solution under multi-Agent system via agents iterative simulations and practical parameter. The featuring simple parameter iteration of birdcage coil has the significance to the design and manufacturing of birdcage RF coils in ultra-high magnetic field imaging.