[1]高 雅,郭各朴,马青玉.基于系统矩阵优化的二维磁性粒子成像研究[J].南京师范大学学报(自然科学版),2019,42(02):73-80.[doi:10.3969/j.issn.1001-4616.2019.02.012]
　Gao Ya,Guo Gepu,Ma Qingyu.Numerical Studies on 2D Magnetic Particles ImagingBased on Optimized System Matrix[J].Journal of Nanjing Normal University(Natural Science Edition),2019,42(02):73-80.[doi:10.3969/j.issn.1001-4616.2019.02.012]
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基于系统矩阵优化的二维磁性粒子成像研究()
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《南京师范大学学报》（自然科学版）[ISSN:1001-4616/CN:32-1239/N]

卷:
第42卷
期数:
2019年02期
页码:
73-80
栏目:
·物理学·
出版日期:
2019-06-30

文章信息/Info

Title:
Numerical Studies on 2D Magnetic Particles ImagingBased on Optimized System Matrix
文章编号:
1001-4616(2019)02-0073-08
作者:
高 雅; 郭各朴; 马青玉
南京师范大学物理科学与技术学院,江苏 南京 210023
Author(s):
Gao Ya; Guo Gepu; Ma Qingyu
School of Physics and Technology,Nanjing Normal University,Nanjing 210023,China
关键词:
磁性粒子成像; 超顺磁性; 快速傅里叶变换; 系统矩阵; 空间编码
Keywords:
magnetic particle imaging(MPI); superparamagnetism; fast Fourier transform; system matrix; spatial encoding
分类号:
O441.3
DOI:
10.3969/j.issn.1001-4616.2019.02.012
文献标志码:
A
摘要:
磁性粒子成像(MPI)是一种新型高分辨率成像技术,利用磁性粒子在交变磁场中的非线性响应构建系统矩阵进而重建磁性纳米粒子的浓度分布,提高重建速度并降低存储空间需求和计算复杂度是实现实时成像的关键. 本文将磁性粒子的非线性磁化响应特征与电磁感应定律相结合获取检测点电压信号,进一步考虑接受线圈的灵敏度可得电压信号与磁性粒子浓度的关系,利用傅里叶变换及频域矩阵展开分析了影响系统矩阵的因素,系统分析了系统矩阵频率分量的选取以及不同接收方向对重建图像的影响. 结果表明,通过选取高频段信号可以优化系统矩阵分量的空间结构; 通过增加频率分量可以构建线性无关方程组,使方程的解唯一化,提高重建精度和质量; 通过不同接收方向系统矩阵的重组,使系统矩阵拥有更丰富的空间结构,进而提高浓度分布重建图像的质量. 本研究对MPI技术进行磁性纳米粒子浓度重建起到了重要的指导作用,在新型生物医学成像领域有着广阔的应用前景.
Abstract:
Magnetic particle imaging(MPI)is a new medical imaging technology,which uses the nonlinear re-magnetization behavior of superparamagnetic nanoparticles to change magnetic field to determine their distribution. The key issues of the real-time PMI include the improvement of reconstruction speed and the reduction of storage requirement and computation complexity. By combining the nonlinear magnetization response characteristics of magnetic particles with the law of electromagnetic induction,the voltage signal was obtained. Furthermore,by considering the sensitivity of the receiving coil,the voltage signal shows a linear relationship with the concentration of magnetic particles. The fast Fourier transform is used to analyze the influence of the spectrum characteristics and the frequency resolution on the system matrix. Moreover,the influence of coding number,frequency component selection of the system function and the receiving direction on image reconstruction is studied systematically. It is proved that,the spatial structure of the system function can be optimized by selecting high frequency signals. The imaging accuracy and quality are improved by increasing the number of the frequency component and reconstructing the matrix using signals in different directions. More frequency components can be used to construct linearly independent equations to obtain a unique solution,and the system matrix reorganized by signals with different receiving directions has a richer spatial structure,which plays an important guiding role in MPI technology and exhibits promising prospect in new biomedical imaging.

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备注/Memo

备注/Memo:
收稿日期:2019-01-16.
基金项目:国家自然科学基金(11474166、11604156)、江苏省自然科学基金(BK20161013)、中国博士后科学基金(2016M591874)、江苏高校优势学科建设项目.
通讯联系人:郭各朴,博士,讲师,研究方向:电子技术、信息处理和声学. E-mail:guogepu@njnu.edu.cn
更新日期/Last Update: 2019-06-30