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Optimization MRI Cylindrical Coils Using Discretized Stream Function With High Order Smoothness

机译:利用高阶平滑度的离散流函数优化MRI圆柱线圈

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摘要

The design of coil for magnetic resonance image (MRI) application is an optimization problem, in which a specified distribution of the magnetic field inside a region of interest is generated by choosing the optimal distribution of current density on a specified non-intersecting design surface. This paper proposes an iterative optimization method for designing MRI coils on a cylindrical surface by using a piecewise discretized scalar stream function as design variable. The surface current density is accurately calculated using piecewise interpolation with $C^{1}$ smoothness based on the developable property for a cylindrical surface. MRI coils are designed by choosing bi-objective functions and pseudo-Newton sensitivity analysis. The smoothness of the coil are maintained by adjusting the value of derivative degrees of freedom of design variables which are used to interpolate the stream function. Pareto points provide more flexible choices between the two complementary objectives.$^{ast}$
机译:用于磁共振图像(MRI)的线圈的设计是一个优化问题,其中通过在指定的不相交的设计表面上选择电流密度的最佳分布来生成感兴趣区域内磁场的指定分布。本文提出一种迭代优化方法,以分段离散标量流函数为设计变量,在圆柱表面上设计MRI线圈。基于圆柱形表面的可展性,使用具有$ C ^ {1} $平滑度的分段插值法可以精确计算表面电流密度。通过选择双目标函数和伪牛顿灵敏度分析来设计MRI线圈。通过调整用于插值流函数的设计变量的导数自由度的值,可以保持线圈的平滑度。帕累托积分可在两个互补目标之间提供更灵活的选择。$ ^ {ast} $

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