Recent developments of the reconstruction in magnetic particle imaging

doi:10.1186/s42492-022-00120-5

	Recent developments of the reconstruction in magnetic particle imaging
	Yin,Lin1,2,3 ; Li,Wei4 ; Du,Yang1,2,3 ; Wang,Kun1,2,3 ; Liu,Zhenyu1,2,3 ; Hui,Hui1,2,3 ; Tian,Jie1,2,3,5
Source Publication	Visual Computing for Industry, Biomedicine, and Art
	2022-10-01
Volume	5 Issue:1
Corresponding Author	Hui,Hui(hui.hui@ia.ac.cn) ; Tian,Jie(tian@ieee.org)
Abstract	AbstractMagnetic 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.
Keyword	Magnetic particle imaging Image reconstruction System matrix X-space
DOI	10.1186/s42492-022-00120-5
Language	英语
WOS ID	BMC:10.1186/s42492-022-00120-5
Publisher	Springer Nature Singapore
Citation statistics
Document Type	期刊论文
Identifier	http://ir.ia.ac.cn/handle/173211/50075
Collection	中国科学院分子影像重点实验室
Corresponding Author	Hui,Hui; Tian,Jie
Affiliation	1.Institute of Automation, Chinese Academy of Sciences; CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems 2.Beijing Key Laboratory of Molecular Imaging 3.University of Chinese Academy of Sciences 4.Jinan University; Medical Imaging Center, the First Affiliated Hospital 5.Beihang University; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine
First Author Affilication	Institute of Automation, Chinese Academy of Sciences
Corresponding Author Affilication	Institute of Automation, Chinese Academy of Sciences
Recommended Citation GB/T 7714	Yin,Lin,Li,Wei,Du,Yang,et al. Recent developments of the reconstruction in magnetic particle imaging[J]. Visual Computing for Industry, Biomedicine, and Art,2022,5(1).
APA	Yin,Lin.,Li,Wei.,Du,Yang.,Wang,Kun.,Liu,Zhenyu.,...&Tian,Jie.(2022).Recent developments of the reconstruction in magnetic particle imaging.Visual Computing for Industry, Biomedicine, and Art,5(1).
MLA	Yin,Lin,et al."Recent developments of the reconstruction in magnetic particle imaging".Visual Computing for Industry, Biomedicine, and Art 5.1(2022).

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