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Modified Jiles-Atherton Model for Dynamic Magnetization in X-Space Magnetic Particle Imaging

文献类型：期刊论文

作者Li, Yimeng7,8,9; Hui, Hui10,11; Zhang, Peng12; Zhong, Jing2; Yin, Lin3,4; Zhang, Haoran7,8,9; Zhang, Bo7,8,9; An, Yu7,8,9; Tian, Jie1,5,6
刊名IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
出版日期2023-07-01
卷号70期号:7页码:2035-2045
ISSN号0018-9294
关键词Dynamic magnetization Magnetic particle imaging modified Jiles-Ather ton model X-space reconstruction algorithm
DOI10.1109/TBME.2023.3234256
通讯作者Hui, Hui(hui.hui@ia.ac.cn) ; Tian, Jie(tian@ieee.org)
英文摘要Objective: Magnetic particle imaging (MPI) is a promising medical modality that can image superparamagnetic iron-oxide nanoparticle (SPIO) concentration distributions safely and with high sensitivity. In the x-space reconstruction algorithm, the Langevin function is inaccurate in modeling the dynamic magnetization of SPIOs. This problem prevents the x-space algorithm from achieving a high spatial resolution reconstruction.Methods: We propose a more accurate model to describe the dynamic magnetization of SPIOs, named the modified Jiles-Atherton (MJA) model, and apply it to the x-space algorithm to improve the image resolution. Considering the relaxation effect of SPIOs, the MJA model generates the magnetization curve via an ordinary differential equation. Three modifications are also introduced to further improve its accuracy and robustness.Results: In magnetic particle spectrometry experiments, the MJA model shows higher accuracy than the Langevin and Debye models under various test conditions. The average root-mean-square error is 0.055, 83% and 58% lower than the Langevin and Debye models, respectively. In MPI reconstruction experiments, the MJA x-space improves the spatial resolution by 64% and 48% compared to the x-space and Debye x-space methods, respectively. Conclusion: The MJA model shows high accuracy and robustness in modeling the dynamic magnetization behavior of SPIOs. By integrating the MJA model into the x-space algorithm, the spatial resolution of MPI technology was improved.Significance: Improving the spatial resolution by using the MJA model helps MPI have a better performance in medical fields, including cardiovascular imaging.
WOS关键词RECONSTRUCTION ; NANOPARTICLES ; PERFORMANCE ; RELAXATION ; SIMULATION ; RESOLUTION ; SIGNAL
资助项目National Key Research and Development Program of China[2017YFA0700401] ; National Natural Science Foundation of China[62027901] ; National Natural Science Foundation of China[81827808] ; National Natural Science Foundation of China[81930053] ; National Natural Science Foundation of China[81527805] ; National Natural Science Foundation of China[81671851] ; National Natural Science Foundation of China[81227901] ; CAS Youth Innovation Promotion Association[2018167] ; CAS Key Technology Talent Program, Beijing Natural Science Foundation[JQ22023] ; Guangdong Key Research and Development Program of China[2021B0101420005] ; Project of High-Level Talents Team Introduction in Zhuhai City[HLHPTP201703]
WOS研究方向Engineering
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:001016857400005
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; CAS Youth Innovation Promotion Association ; CAS Key Technology Talent Program, Beijing Natural Science Foundation ; Guangdong Key Research and Development Program of China ; Project of High-Level Talents Team Introduction in Zhuhai City
源URL[http://ir.ia.ac.cn/handle/173211/53750]  
专题自动化研究所_中国科学院分子影像重点实验室
通讯作者Hui, Hui; Tian, Jie
作者单位1.Beihang Univ, Sch Engn Med, Beijing 100191, Peoples R China
2.Beihang Univ, Sch Instrumentat & Optoelect Engn, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing Key Lab Mol Imaging, Beijing, Peoples R China
4.Univ Chinese Acad Sci, Beijing, Peoples R China
5.Beihang Univ, Sch Biol Sci & Med Engn, Beijing 100191, Peoples R China
6.Beihang Univ, Key Lab Big Data Based Precis Med, Minist Ind & Informat Technol China, Beijing 100191, Peoples R China
7.Beihang Univ, Sch Engn Med, Beijing, Peoples R China
8.Beihang Univ, Sch Biol Sci & Med Engn, Beijing, Peoples R China
9.Beihang Univ, Key Lab Big Data Based Precis Med, Minist Ind & Informat Technol China, Beijing, Peoples R China
10.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing Key Lab Mol Imaging, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Li, Yimeng,Hui, Hui,Zhang, Peng,et al. Modified Jiles-Atherton Model for Dynamic Magnetization in X-Space Magnetic Particle Imaging[J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,2023,70(7):2035-2045.
APA Li, Yimeng.,Hui, Hui.,Zhang, Peng.,Zhong, Jing.,Yin, Lin.,...&Tian, Jie.(2023).Modified Jiles-Atherton Model for Dynamic Magnetization in X-Space Magnetic Particle Imaging.IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,70(7),2035-2045.
MLA Li, Yimeng,et al."Modified Jiles-Atherton Model for Dynamic Magnetization in X-Space Magnetic Particle Imaging".IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 70.7(2023):2035-2045.

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来源：自动化研究所

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