CASIA OpenIR  > 中国科学院分子影像重点实验室
Modified Jiles-Atherton Model for Dynamic Magnetization in X-Space Magnetic Particle Imaging
Li, Yimeng1,2,3; Hui, Hui4,5; Zhang, Peng6; Zhong, Jing7; Yin, Lin8,9; Zhang, Haoran1,2,3; Zhang, Bo1,2,3; An, Yu1,2,3; Tian, Jie10,11,12
Source PublicationIEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
ISSN0018-9294
2023-07-01
Volume70Issue:7Pages:2035-2045
Corresponding AuthorHui, Hui(hui.hui@ia.ac.cn) ; Tian, Jie(tian@ieee.org)
AbstractObjective: 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.
KeywordDynamic magnetization Magnetic particle imaging modified Jiles-Ather ton model X-space reconstruction algorithm
DOI10.1109/TBME.2023.3234256
WOS KeywordRECONSTRUCTION ; NANOPARTICLES ; PERFORMANCE ; RELAXATION ; SIMULATION ; RESOLUTION ; SIGNAL
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational 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
WOS Research AreaEngineering
WOS SubjectEngineering, Biomedical
WOS IDWOS:001016857400005
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Cited Times:14[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/53751
Collection中国科学院分子影像重点实验室
Corresponding AuthorHui, Hui; Tian, Jie
Affiliation1.Beihang Univ, Sch Engn Med, Beijing, Peoples R China
2.Beihang Univ, Sch Biol Sci & Med Engn, Beijing, Peoples R China
3.Beihang Univ, Key Lab Big Data Based Precis Med, Minist Ind & Informat Technol China, Beijing, Peoples R China
4.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing Key Lab Mol Imaging, Beijing 100190, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100080, Peoples R China
6.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing, Peoples R China
7.Beihang Univ, Sch Instrumentat & Optoelect Engn, Beijing, Peoples R China
8.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing Key Lab Mol Imaging, Beijing, Peoples R China
9.Univ Chinese Acad Sci, Beijing, Peoples R China
10.Beihang Univ, Sch Engn Med, Beijing 100191, Peoples R China
11.Beihang Univ, Sch Biol Sci & Med Engn, Beijing 100191, Peoples R China
12.Beihang Univ, Key Lab Big Data Based Precis Med, Minist Ind & Informat Technol China, Beijing 100191, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Yimeng]'s Articles
[Hui, Hui]'s Articles
[Zhang, Peng]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Yimeng]'s Articles
[Hui, Hui]'s Articles
[Zhang, Peng]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Yimeng]'s Articles
[Hui, Hui]'s Articles
[Zhang, Peng]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.