Liang, Ting-Ou, Yan Hao Koh, Tie Qiu, Erping Li, Wenwei Yu, and Shao Ying Huang. “High-Performance Permanent Magnet Array Design by a Fast Genetic Algorithm (GA)-Based Optimization for Low-Field Portable MRI.” Journal of Magnetic Resonance 345 (December 2022): 107309.
https://doi.org/10.1016/j.jmr.2022.107309.
Lightweight and compact permanent magnet arrays (PMAs) are suitable for portable dedicated magnetic resonance imaging (MRI). It is worth exploring different PMA design possibilities and optimization methods with an adequate balance between weight, size, and performance, in addition to Halbach arrays and C-shaped/H-shaped magnets which are widely used. In this paper, the design and optimization of a sparse high-performance inward-outward ring-pair PMA consisting of magnet cuboids is presented for portable imaging of the brain. The design is lightweight (151 kg) and compact (inner bore diameter: 270 mm, outer diameter: 616 mm, length: 480 mm, 5-Gauss range: 1840 Â 1840 Â 2340 mm3). The optimization framework is based on the genetic algorithm with a consideration of both field properties and simulated image quality. The resulting PMA design has an average field strength of 101.5 mT and a field pattern with a built-in linear readout gradient. Subtracting the best fit to the linear gradient target resulted in a residual deviation from the target field of 0.76 mT and an average linear regression coefficient of 0.85 to the linear gradient. The required radiofrequency bandwidth is 6.9% within a field of view (FoV) with a diameter of 200 mm and a length of 125 mm. It has a magnetic field generation efficiency of 0.67 mT/kg, which is high among the sparse PMAs that were designed for an FoV with a diameter of 200 mm. The field can be used to supply gradients in one direction working with gradient coils in the other two directions, or can be rotated to encode signals for imaging with axial slice selection. The encoding capability of the designed PMA was examined through the simulated reconstructed images. The force experienced by each magnet in the design was calculated, and the feasibility of a physical implementation was confirmed. The design can offer an increased field strength, and thus, an increased signal-tonoise ratio. It has a longitudinal field direction that allows the application of technologies developed for solenoidal magnets. This proposed design can be a promising alternative to supplying the main and gradient fields in combination for dedicated portable MRI. Lastly, the design is resulted from a fast genetic algorithm-based optimization in which fast magnetic field calculation was applied and high design flexibility was feasible. Within optimization iterations, image quality metrics were used for the encoding field of a magnet configuration to guide the design of the magnet array.