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Spatial-Frequency Multi-Scale Transformer for Deblurring and Shape-Preserving Reconstruction in Magnetic Particle Imaging

文献类型：期刊论文

作者Shang, Yaxin2; Liu, Jie2; Liu, Yanjun1; Wang, Yueqi6,7; Shen, Yusong5; Wu, Xiangjun1; Zhang, Liwen6,7; Hui, Hui6,7; Tian, Jie1,3,4
刊名IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING
出版日期2024
卷号10页码:196-207
关键词Feature extraction Imaging Image reconstruction Image edge detection Frequency-domain analysis Image restoration Transforms Magnetic particle imaging X-space transformer deblurring shape-preserving
ISSN号2573-0436
DOI10.1109/TCI.2024.3356859
通讯作者Liu, Jie(jieliu@bjtu.edu.cn) ; Hui, Hui(hui.hui@ia.ac.cn) ; Tian, Jie(tian@ieee.org)
英文摘要Magnetic 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.
WOS关键词RESOLUTION ; MODEL
资助项目National Natural Science Foundation of China
WOS研究方向Engineering ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:001174315600002
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/56948]  
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Liu, Jie; Hui, Hui; Tian, Jie
作者单位1.Beihang Univ, Sch Engn Med, Beijing 100191, Peoples R China
2.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China
3.Beihang Univ, Key Lab Big Data Based Precis Med, Minist Ind & Informat Technol China, Beijing 100191, 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.Southeast Univ, Sch Comp Sci & Engn, Nanjing 211189, Peoples R China
6.Univ Chinese Acad Sci, Beijing 100080, Peoples R China
7.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		 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.

入库方式： OAI收割

来源：自动化研究所

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