Study of Reconstruction Algorithm for 1D Magnetic Particle Imaging Using Particle Swarm Optimization

摘要

This paper is focused on the reconstruction algorithm of 1-D magnetic particle imaging (MPI) using particle swarm optimization. The analysis of system matrix model for reconstruction images in MPI shows that the sampling frequency significantly affects the singular values and the rank of the system function. Therefore, it is of great interest to study reconstruction algorithm for 1-D MPI. In this study, particle swarm intelligence is employed to solve the system function for the investigation of the reconstruction algorithm for 1-D MPI.