CASIA OpenIR  > 中国科学院分子影像重点实验室
Deep learning for improving the spatial resolution of magnetic particle imaging
Shang, Yaxin1,2,3; Liu, Jie1; Zhang, Liwen2,3; Wu, Xiangjun4; Zhang, Peng1; Yin, Lin2,3; Hui, Hui2,3,5; Tian, Jie2,3,4,6
Source PublicationPHYSICS IN MEDICINE AND BIOLOGY
ISSN0031-9155
2022-06-21
Volume67Issue:12Pages:14
Corresponding AuthorLiu, Jie(jieliu@bjtu.edu.cn) ; Hui, Hui(hui.hui@ia.ac.cn) ; Tian, Jie(tian@ieee.org)
AbstractObjective. Magnetic particle imaging (MPI) is a new medical, non-destructive, imaging method for visualizing the spatial distribution of superparamagnetic iron oxide nanoparticles. In MPI, spatial resolution is an important indicator of efficiency; traditional techniques for improving the spatial resolution may result in higher costs, lower sensitivity, or reduced contrast. Approach. Therefore, we propose a deep-learning approach to improve the spatial resolution of MPI by fusing a dual-sampling convolutional neural network (FDS-MPI). An end-to-end model is established to generate high-spatial-resolution images from low-spatial-resolution images, avoiding the aforementioned shortcomings. Main results. We evaluate the performance of the proposed FDS-MPI model through simulation and phantom experiments. The results demonstrate that the FDS-MPI model can improve the spatial resolution by a factor of two. Significance. This significant improvement in MPI could facilitate the preclinical application of medical imaging modalities in the future.
Keyworddeep learning magnetic particle imaging spatial resolution superparamagnetic iron oxide nanoparticles
DOI10.1088/1361-6560/ac6e24
WOS KeywordLOW-DOSE CT ; MRI ; SENSITIVITY ; NETWORK ; MPI
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[81527805] ; National Natural Science Foundation of China[81571836] ; National Natural Science Foundation of China[81671851] ; National Natural Science Foundation of China[KKA309004533] ; National Natural Science Foundation of China[81227901] ; CAS Youth Innovation Promotion Association[2018167] ; CAS Key Technology Talent Program ; Project of High-Level Talents Team Introduction in Zhuhai City[Zhuhai 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 ; Project of High-Level Talents Team Introduction in Zhuhai City
WOS Research AreaEngineering ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectEngineering, Biomedical ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000808275200001
PublisherIOP Publishing Ltd
Citation statistics
Cited Times:29[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/49573
Collection中国科学院分子影像重点实验室
Corresponding AuthorLiu, Jie; Hui, Hui; Tian, Jie
Affiliation1.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100069, Peoples R China
2.Beijing Key Lab Mol Imaging, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
4.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Engn Med, Beijing 100083, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100080, Peoples R China
6.Jinan Univ, Zhuhai Precis Med Ctr, Zhuhai Peoples Hosp, Zhuhai 519000, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, 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
Shang, Yaxin,Liu, Jie,Zhang, Liwen,et al. Deep learning for improving the spatial resolution of magnetic particle imaging[J]. PHYSICS IN MEDICINE AND BIOLOGY,2022,67(12):14.
APA Shang, Yaxin.,Liu, Jie.,Zhang, Liwen.,Wu, Xiangjun.,Zhang, Peng.,...&Tian, Jie.(2022).Deep learning for improving the spatial resolution of magnetic particle imaging.PHYSICS IN MEDICINE AND BIOLOGY,67(12),14.
MLA Shang, Yaxin,et al."Deep learning for improving the spatial resolution of magnetic particle imaging".PHYSICS IN MEDICINE AND BIOLOGY 67.12(2022):14.
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