Recent developments of the reconstruction in magnetic particle imaging

被引：0
作者：
Lin Yin
Wei Li
Yang Du
Kun Wang
Zhenyu Liu
Hui Hui
Jie Tian
机构：
[1] Institute of Automation,CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems
[2] Chinese Academy of Sciences,Medical Imaging Center, the First Affiliated Hospital
[3] Beijing Key Laboratory of Molecular Imaging,Beijing Advanced Innovation Center for Big Data
[4] University of Chinese Academy of Sciences,Based Precision Medicine, School of Medicine
[5] Jinan University,undefined
[6] Beihang University,undefined
来源：
Visual Computing for Industry, Biomedicine, and Art | / 5卷
关键词：
Magnetic particle imaging; Image reconstruction; System matrix; X-space;
D O I：
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中图分类号：
学科分类号：
摘要：
Magnetic particle imaging (MPI) is an emerging molecular imaging technique with high sensitivity and temporal-spatial resolution. Image reconstruction is an important research topic in MPI, which converts an induced voltage signal into the image of superparamagnetic iron oxide particles concentration distribution. MPI reconstruction primarily involves system matrix- and x-space-based methods. In this review, we provide a detailed overview of the research status and future research trends of these two methods. In addition, we review the application of deep learning methods in MPI reconstruction and the current open sources of MPI. Finally, research opinions on MPI reconstruction are presented. We hope this review promotes the use of MPI in clinical applications.
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