Fast reconstruction in magnetic particle imaging
Fast reconstruction in magnetic particle imaging
复制标题
磁粒子成像的快速重建
DOI：
--
复制
发表时间：
2012
影响因子：
3.5
通讯作者：
J. Borgert
中科院分区：
文献类型：
--
作者：
J. Lampe;C. Bassoy;J. Rahmer;J. Weizenecker;H. Voss;B. Gleich;J. Borgert
磁粒子成像（MPI）是一种新的层析成像方法，能够捕捉磁性示踪材料的快速动态行为。从测量的感应信号，未知的磁性粒子浓度重建使用先前确定的系统功能，它描述了粒子的位置和信号响应之间的关系。在离散化之后，系统函数由矩阵表示，矩阵的大小可以禁止使用用于矩阵求逆的直接求解器来重建图像。在本文中，我们提出了一种新的重建方法，它结合了有效的压缩技术和迭代重建求解器。数据压缩基于正交变换，其通过阈值化从系统函数矩阵中提取最相关的信息，使得任何迭代求解器都被强烈地加速。研究了压缩对内存需求、计算复杂性和图像质量的影响。与所提出的方法，它是可以实现实时重建，几乎没有损失的图像质量，使用测量的4D MPI数据。
Magnetic particle imaging (MPI) is a new tomographic imaging method which is able to capture the fast dynamic behavior of magnetic tracer material. From measured induced signals, the unknown magnetic particle concentration is reconstructed using a previously determined system function, which describes the relation between particle position and signal response. After discretization, the system function is represented by a matrix, whose size can prohibit the use of direct solvers for matrix inversion to reconstruct the image. In this paper, we present a new reconstruction approach, which combines efficient compression techniques and iterative reconstruction solvers. The data compression is based on orthogonal transforms, which extract the most relevant information from the system function matrix by thresholding, such that any iterative solver is strongly accelerated. The effect of the compression with respect to memory requirements, computational complexity and image quality is investigated. With the proposed method, it is possible to achieve real-time reconstruction with almost no loss in image quality using measured 4D MPI data.
基于互补单开环谐振器 (CSSRR) 的超材料旋转传感器
DOI：
10.1080/09205071.2018.1465480
发表时间：
2018-01-01
影响因子：
1.3
作者：
Rao, Fang;Yu, Zetai;Yang, Helin
通讯作者：
Yang, Helin