CASIA OpenIR  > 中国科学院分子影像重点实验室
Magnetic particle imaging deblurring with dual contrastive learning and adversarial framework
Zhang, Jiaxin1,2,3; Wei, Zechen1,2,3; Wu, Xiangjun4,5; Shang, Yaxin6; Tian, Jie1,2,4,5; Hui, Hui1,2,3
Source PublicationCOMPUTERS IN BIOLOGY AND MEDICINE
ISSN0010-4825
2023-09-09
Volume165Pages:11
Abstract

Magnetic particle imaging (MPI) is an emerging medical imaging technique that has high sensitivity, contrast, and excellent depth penetration. In MPI, x-space is a reconstruction method that transforms the measured voltages into particle concentrations. The reconstructed native image can be modeled as a convolution of the magnetic particle concentration with a point-spread function (PSF). The PSF is one of the important parameters in deconvolution. However, accurately measuring or modeling the PSF in the hardware used for deconvolution is challenging due to the various environment and magnetic particle relaxation. The inaccurate PSF estimation may lead to the loss of the content structure of the MPI image, especially in low gradient fields. In this study, we developed a Dual Adversarial Network (DAN) with patch-wise contrastive constraint to deblur the MPI image. This method can overcome the limitations of unpaired data in data acquisition scenarios and remove the blur around the boundary more effectively than the common deconvolution method. We evaluated the performance of the proposed DAN model on simulated and real data. Experimental results confirmed that our model performs favorably against the deconvolution method that is mainly used for deblurring the MPI image and other GAN-based deep learning models.

KeywordMagnetic particle imaging Deblurring Unpaired data Contrastive learning Adversarial framework
DOI10.1016/j.compbiomed.2023.107461
WOS KeywordRECONSTRUCTION ; RESOLUTION
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[81227901] ; Beijing Natural Science Foundation[JQ22023] ; CAS Youth Innovation Promotion Association[Y2022055]
Funding OrganizationNational Key Research and Development Program of China ; National Natural Science Foundation of China ; Beijing Natural Science Foundation ; CAS Youth Innovation Promotion Association
WOS Research AreaLife Sciences & Biomedicine - Other Topics ; Computer Science ; Engineering ; Mathematical & Computational Biology
WOS SubjectBiology ; Computer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Mathematical & Computational Biology
WOS IDWOS:001080561100001
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Sub direction classification医学影像处理与分析
planning direction of the national heavy laboratory其他
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Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/53006
Collection中国科学院分子影像重点实验室
Corresponding AuthorTian, Jie; Hui, Hui
Affiliation1.CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
2.Beijing Key Laboratory of Molecular Imaging, Beijing, China
3.University of Chinese Academy of Sciences, Beijing, China
4.Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, China
5.School of Engineering Medicine & School of Biological Science and Medical Engineering, Beihang University, Beijing, China
6.School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Zhang, Jiaxin,Wei, Zechen,Wu, Xiangjun,et al. Magnetic particle imaging deblurring with dual contrastive learning and adversarial framework[J]. COMPUTERS IN BIOLOGY AND MEDICINE,2023,165:11.
APA Zhang, Jiaxin,Wei, Zechen,Wu, Xiangjun,Shang, Yaxin,Tian, Jie,&Hui, Hui.(2023).Magnetic particle imaging deblurring with dual contrastive learning and adversarial framework.COMPUTERS IN BIOLOGY AND MEDICINE,165,11.
MLA Zhang, Jiaxin,et al."Magnetic particle imaging deblurring with dual contrastive learning and adversarial framework".COMPUTERS IN BIOLOGY AND MEDICINE 165(2023):11.
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