CASIA OpenIR  > 中国科学院分子影像重点实验室
A systematic 3-D magnetic particle imaging simulation model for quantitative analysis of reconstruction image quality
Yusong Shen1; Liwen Zhang2; Hui Hui2; Lishuang Guo3; Tan Wang2; Guanyu Yang1; Jie Tian1,2,3
Source PublicationComputer Methods and Programs in Biomedicine
2024
Volume252Pages:108250-108250
Subtypearticle
Abstract

Background and objective: Magnetic particle imaging (MPI) is an emerging imaging technology in medical tomography that utilizes the nonlinear magnetization response of superparamagnetic iron oxide (SPIO) particles to determine the in vivo spatial distribution of nanoparticle contrast agents. The reconstruction image quality of MPI is determined by the characteristics of magnetic particles, the setting of the MPI scanner parameters, and the hardware interference of MPI systems. We explore a feasible method to systematically and quickly analyze the impact of these factors on MPI reconstruction image quality. Methods: We propose a systematic 3-D MPI simulation model. The MPI simulation model has the capability of quickly producing the simulated reconstruction images of a scanned phantom, and quantitative analysis of MPI reconstruction image quality can be achieved by comparing the differences between the input image and output image. These factors are mainly classified as imaging parameters and interference parameters in our model. In order to reduce the computational time of the simulation model, we introduce GPU parallel programming to accelerate the processing of large complex matrix data. For ease of use, we also construct a reliable, highperformance, and open-source 3-D MPI simulation software tool based on our model. The efficiency of our model is evaluated by using OpenMPIData. To demonstrate the capabilities of our model, we conduct simulation experiments using parameters consistent with a real MPI scanner for improving MPI image quality. Results: The experimental results show that our simulation model can systematically and quickly evaluate the impact of imaging parameters and interference parameters on MPI reconstruction image quality. Conclusions: We developed an easy-to-use and open-source 3-D MPI simulation software tool based on our simulation model incorporating all the stages of MPI formation, from signal acquisition to image reconstruction. In the future, our simulation model has potential guiding significance to practical MPI images.

Indexed BySCI
Sub direction classification智能计算系统
planning direction of the national heavy laboratoryAI For Science
Paper associated data
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/57348
Collection中国科学院分子影像重点实验室
Corresponding AuthorJie Tian
Affiliation1.School of Computer Science and Engineering, Southeast University
2.CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences
3.School of Engineering Medicine & School of Biological Science and Medical Engineering, Beihang University
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Yusong Shen,Liwen Zhang,Hui Hui,et al. A systematic 3-D magnetic particle imaging simulation model for quantitative analysis of reconstruction image quality[J]. Computer Methods and Programs in Biomedicine,2024,252:108250-108250.
APA Yusong Shen.,Liwen Zhang.,Hui Hui.,Lishuang Guo.,Tan Wang.,...&Jie Tian.(2024).A systematic 3-D magnetic particle imaging simulation model for quantitative analysis of reconstruction image quality.Computer Methods and Programs in Biomedicine,252,108250-108250.
MLA Yusong Shen,et al."A systematic 3-D magnetic particle imaging simulation model for quantitative analysis of reconstruction image quality".Computer Methods and Programs in Biomedicine 252(2024):108250-108250.
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