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Investigation of excitation coils configuration and particle swarm optimization of coil’s diameter in magnetic nanoparticles imaging

机译:磁性纳米粒子成像中励磁线圈配置的研究和线圈直径的粒子群优化

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摘要

Magnetic Nanoparticles Imaging (MNI) is a new imaging method which uses magnetic nanoparticles as the contrast agent. The superparamagnetism of ferro- and ferrimaterial allowed the particles to act as a temporary magnet when an external excitation is applied. The imaging is based on the reconstruction of the measured relaxation time (magnetorelaxometry) from the sample by SQUID sensors after the applied field is switched off. To date, the imaging method is still not applicable on human due to many undetermined parameters of the diagnostic configuration. The equation of the reconstruction is generally ill-posed due to the involvement of many parameters in the configuration. Hence, the optimization is required in order to eliminate the unstable parameters of this imaging technique. In this thesis, the study of excitation coils’ configuration has been conducted with manipulation of the number coils, arrangement of coils, diameter of coils and the shape of coils. The results show that by increasing the number of coils will improve the correlation coefficient of the reconstruction. However, due to the limitation of the grid size, the size of the coils is another concerned criterion; hence, the total area of the coils in each grid must be smaller than the area of the grid. The correlation coefficients of the reconstruction with varying the coils diameters show an improvement with smaller coils diameter. This observation obeyed the algorithm of diameter optimization in this thesis. Besides, the examinations of the arrangement and shape of coils show that both these criteria are highly depending on the shape of the sample. Due to the size of the rectangular coils used in the simulation are basically larger than the circular coils, hence, better results are found in the circular coils. On the other hand, the examination of the possibility of applying particle swarm optimization (PSO) method on the coils diameter has been studied by constructing the algorithm of the magnetic field calculation. The results of the algorithm construction showed that the diameter element is a non-linear parameter, and it is not suitable to be used in PSO as this method only applicable for the element which poses a linear relationship between the element and the output of optimization
机译:磁性纳米粒子成像(MNI)是一种使用磁性纳米粒子作为造影剂的新成像方法。铁和亚铁材料的超顺磁性使粒子在施加外部激励时可以充当临时磁铁。成像是基于在关闭施加磁场之后,SQUID传感器根据样品对测得的弛豫时间(磁松弛法)的重建。迄今为止,由于诊断配置的许多不确定参数,该成像方法仍不适用于人类。由于配置中涉及许多参数,因此重建方程通常是不合适的。因此,需要优化以消除该成像技术的不稳定参数。本文通过对线圈个数,线圈排列,线圈直径和形状的研究,对励磁线圈的结构进行了研究。结果表明,通过增加线圈数将提高重建的相关系数。然而,由于网格尺寸的限制,线圈的尺寸是另一个值得关注的标准。因此,每个栅格中的线圈总面积必须小于栅格的面积。随着线圈直径的变化,重建的相关系数随着线圈直径的减小而显示出改善。该观察结果服从了本文中的直径优化算法。此外,对线圈的布置和形状的检查表明,这两个标准都高度取决于样品的形状。由于在仿真中使用的矩形线圈的尺寸基本上大于圆形线圈,因此,在圆形线圈中发现了更好的结果。另一方面,通过构造磁场计算算法,研究了对粒子直径应用粒子群优化(PSO)方法的可能性。算法构造的结果表明,直径元素是非线性参数,不适合用于PSO,因为该方法仅适用于在元素与优化输出之间存在线性关系的元素。

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    Ng Kent Hoo;

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