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Copyright (c) 2023 Yusong Shen, Liwen Zhang , Guang Jia , Yaxin Shang , Jing Zhao , Tan Wang, Yimeng Li, Jie Tian , Hui Hui
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to developa modular simulation system forfast reconstruction of different dimensional MPI images is significant fordesign of MPI system. In this study, we propose a modular and open-source MPI simulation system, which consists of the virtual phantom module, MPI scanner module, particle magnetization module, reconstruction module, and quantitative evaluation module. Combining the MPI scanner module and the particle magnetization module can produce the simulated voltage signal of the superparamagnetic iron oxide (SPIO) magnetization. The system enables the integration of the different MPI reconstruction methods to reconstruct an image from the simulated voltage signal of the SPIO magnetization. The quantitative evaluation module can analyze the MPI system performance by comparing the differences between the simulation reconstruction image and the virtual phantom image. Each module can be easily extended. Now, our simulation system is implemented using Python 3.8 with the open scientific computing libraries Numpy and Scipy and supports the simulation of 1-D, 2-D and 3-D MPI systems and batch simulation tasks. We have shown in this work the early stages of the development of our MPI simulation system which is designed to provide an optimal design solution is selected for the new MPI system. In future, we will improve the system with a focus on adding more features, such as field-free line simulation, non-Langevin particle magnetization and other relaxation modeling, etc. The source code of the simulation system is available on http://mpilab.net/en/simulation/.
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