CASIA OpenIR  > 中国科学院分子影像重点实验室
Spatial-Frequency Multi-Scale Transformer for Deblurring and Shape-Preserving Reconstruction in Magnetic Particle Imaging
Shang, Yaxin1; Liu, Jie1; Liu, Yanjun2; Wang, Yueqi3,4; Shen, Yusong5; Wu, Xiangjun2; Zhang, Liwen3,4; Hui, Hui3,4; Tian, Jie2,6,7
Source PublicationIEEE TRANSACTIONS ON COMPUTATIONAL IMAGING
ISSN2573-0436
2024
Volume10Pages:196-207
Corresponding AuthorLiu, Jie(jieliu@bjtu.edu.cn) ; Hui, Hui(hui.hui@ia.ac.cn) ; Tian, Jie(tian@ieee.org)
AbstractMagnetic particle imaging (MPI) is a novel and emerging functional imaging technique that visualizes the spatial distribution of magnetic nanoparticles (MNPs). While the X-space method considers some important physical properties of MPI systems, it also neglects some phenomena, such as signals generated by MNPs outside (but close-to) the field-free region. Therefore, the X-space approach often results in blurring artifacts and incomplete edge information in native MPI images. In this study, we propose a spatial-frequency multi-scale transformer (SFM-Transformer) to address this limitation by restoring both the spatial and frequency domain features of the native image. SFM-Transformer comprises three modules: the spatial and frequency feature extractor module (SFFE), the spatial and frequency fusion module (SFF), and the multi-scale fusion module (MSF). By incorporating cross-feature space dependencies and capturing long-range details in spatial and frequency domains, our network captures pixel-level features and implicit physical properties features of native images. Furthermore, the SFM-Transformer utilizes a multi-scale strategy at the backbone to further improve performance. To facilitate comprehensive research, we construct a diverse dataset containing both simulated and experimental datasets. To validate the effectiveness of our method, we conduct extensive experiments in simulated and experimental data. The experimental results demonstrate that our method eliminates the blurring artifacts and recovers the edge shape of MPI images. This suggests that our approach has great potential for improving the accuracy and reliability of MPI for future applications.
KeywordFeature extraction Imaging Image reconstruction Image edge detection Frequency-domain analysis Image restoration Transforms Magnetic particle imaging X-space transformer deblurring shape-preserving
DOI10.1109/TCI.2024.3356859
WOS KeywordRESOLUTION ; MODEL
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China
Funding OrganizationNational Natural Science Foundation of China
WOS Research AreaEngineering ; Imaging Science & Photographic Technology
WOS SubjectEngineering, Electrical & Electronic ; Imaging Science & Photographic Technology
WOS IDWOS:001174315600002
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/56949
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 100044, Peoples R China
2.Beihang Univ, Sch Engn Med, Beijing 100191, Peoples R China
3.Inst Automat, CAS Key Lab Mol Imaging, Beijing Key Lab Mol Imaging, Beijing 100190, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100080, Peoples R China
5.Southeast Univ, Sch Comp Sci & Engn, Nanjing 211189, Peoples R China
6.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing Key Lab Mol Imaging, Beijing 100190, Peoples R China
7.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
Shang, Yaxin,Liu, Jie,Liu, Yanjun,et al. Spatial-Frequency Multi-Scale Transformer for Deblurring and Shape-Preserving Reconstruction in Magnetic Particle Imaging[J]. IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING,2024,10:196-207.
APA Shang, Yaxin.,Liu, Jie.,Liu, Yanjun.,Wang, Yueqi.,Shen, Yusong.,...&Tian, Jie.(2024).Spatial-Frequency Multi-Scale Transformer for Deblurring and Shape-Preserving Reconstruction in Magnetic Particle Imaging.IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING,10,196-207.
MLA Shang, Yaxin,et al."Spatial-Frequency Multi-Scale Transformer for Deblurring and Shape-Preserving Reconstruction in Magnetic Particle Imaging".IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING 10(2024):196-207.
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