School of Mathematics & Physics, University of Tasmania, Private Bag 37, Hobart, Tasmania 7001, Australia.
J Magn Reson. 2010 Nov;207(1):124-33. doi: 10.1016/j.jmr.2010.08.017. Epub 2010 Sep 17.
Existing gradient coil design methods typically require some predetermined surface to be specified upon which the precise locations of coil windings are optimised with respect to gradient homogeneity and other measures of coil performance. In contrast, in this paper an analytic inverse method is presented for the theoretical design of 3D gradient coils in which the precise 3D geometry of the coils is obtained as part of the optimisation process. This method has been described previously for cylindrical whole-body gradients and is extended here for open MRI systems. A 3D current density solution is obtained using Fourier series combined with Tikhonov regularisation. The examples presented involve a minimum power penalty function and an optional shielding constraint. A discretised set of 3D coil windings is obtained using an equi-flux streamline seeding method. Results for an unshielded example display a concentration of windings within the portion of the coil volume nearest the imaging region and looped return path windings taken away from this region. However, for a shielded example the coil windings are found to lie almost exclusively on biplanar surfaces, suggesting that this is the optimum geometry for a shielded minimum power open coil.
现有的梯度线圈设计方法通常需要指定一些预定的表面,在该表面上,根据梯度均匀性和其他线圈性能指标来优化线圈绕组的精确位置。相比之下,本文提出了一种用于 3D 梯度线圈理论设计的解析反方法,其中线圈的精确 3D 几何形状作为优化过程的一部分得到。该方法先前已被描述用于圆柱形全身梯度,并在此扩展到开放式 MRI 系统。使用傅里叶级数结合 Tikhonov 正则化来获得 3D 电流密度解。所呈现的示例涉及最小功率惩罚函数和可选的屏蔽约束。使用等磁通流线播种方法获得离散的 3D 线圈绕组集。未屏蔽示例的结果显示,绕组集中在靠近成像区域的线圈体积部分,并且从该区域引出了环形返回路径绕组。然而,对于屏蔽示例,发现线圈绕组几乎完全位于双平面表面上,这表明这是屏蔽最小功率开放式线圈的最佳几何形状。