CASIA OpenIR  > 中国科学院分子影像重点实验室
An adaptive multi-frame parallel iterative method for accelerating real-time magnetic particle imaging reconstruction
Shen, Yusong1; Zhang, Liwen2,3,4; Shang, Yaxin5; Jia, Guang6; Yin, Lin2,3,4; Zhang, Hui7,8; Tian, Jie1,2,3,7,8; Yang, Guanyu1; Hui, Hui2,3,4
Source PublicationPHYSICS IN MEDICINE AND BIOLOGY
ISSN0031-9155
2023-12-21
Volume68Issue:24Pages:16
Corresponding AuthorTian, Jie(jie.tian@ia.ac.cn) ; Yang, Guanyu(yang.list@seu.edu.cn) ; Hui, Hui(hui.hui@ia.ac.cn)
AbstractObjective. Real-time reconstruction of magnetic particle imaging (MPI) shows promising clinical applications. However, prevalent reconstruction methods are mainly based on serial iteration, which causes large delay in real-time reconstruction. In order to achieve lower latency in real-time MPI reconstruction, we propose a parallel method for accelerating the speed of reconstruction methods. Approach. The proposed method, named adaptive multi-frame parallel iterative method (AMPIM), enables the processing of multi-frame signals to multi-frame MPI images in parallel. To facilitate parallel computing, we further propose an acceleration strategy for parallel computation to improve the computational efficiency of our AMPIM. Main results. OpenMPIData was used to evaluate our AMPIM, and the results show that our AMPIM improves the reconstruction frame rate per second of real-time MPI reconstruction by two orders of magnitude compared to prevalent iterative algorithms including the Kaczmarz algorithm, the conjugate gradient normal residual algorithm, and the alternating direction method of multipliers algorithm. The reconstructed image using AMPIM has high contrast-to-noise with reducing artifacts. Significance. The AMPIM can parallelly optimize least squares problems with multiple right-hand sides by exploiting the dimension of the right-hand side. AMPIM has great potential for application in real-time MPI imaging with high imaging frame rate.
Keywordmagnetic particle imaging real-time reconstruction parallel iterative method parallel computation
DOI10.1088/1361-6560/ad078d
Indexed BySCI
Language英语
Funding Projectthe National Key Research and Development Program of China[2021YFF0702700] ; National Key Research and Development Program of China[62027901] ; National Key Research and Development Program of China[81827808] ; National Key Research and Development Program of China[81227901] ; National Key Research and Development Program of China[82202269] ; National Key Research and Development Program of China[81930053] ; National Natural Science Foundation of China[Y2022055] ; CAS Youth Innovation Promotion Association[JQ22023] ; Beijing Natural Science Foundation
Funding Organizationthe National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Natural Science Foundation of China ; CAS Youth Innovation Promotion Association ; Beijing Natural Science Foundation
WOS Research AreaEngineering ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectEngineering, Biomedical ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:001121388700001
PublisherIOP Publishing Ltd
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/55034
Collection中国科学院分子影像重点实验室
Corresponding AuthorTian, Jie; Yang, Guanyu; Hui, Hui
Affiliation1.Southeast Univ, Sch Comp Sci & Engn, Nanjing, Peoples R China
2.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing, Peoples R China
3.Beijing Key Lab Mol Imaging, Beijing 100190, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100080, Peoples R China
5.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing, Peoples R China
6.Xidian Univ, Sch Comp Sci & Technol, Xian, Shaanxi, Peoples R China
7.Beihang Univ, Sch Engn Med, Beijing, Peoples R China
8.Minist Ind & Informat Technol Peoples Republ China, Key Lab Big Data Based Precis Med, Beijing, Peoples R China
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences;  Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Shen, Yusong,Zhang, Liwen,Shang, Yaxin,et al. An adaptive multi-frame parallel iterative method for accelerating real-time magnetic particle imaging reconstruction[J]. PHYSICS IN MEDICINE AND BIOLOGY,2023,68(24):16.
APA Shen, Yusong.,Zhang, Liwen.,Shang, Yaxin.,Jia, Guang.,Yin, Lin.,...&Hui, Hui.(2023).An adaptive multi-frame parallel iterative method for accelerating real-time magnetic particle imaging reconstruction.PHYSICS IN MEDICINE AND BIOLOGY,68(24),16.
MLA Shen, Yusong,et al."An adaptive multi-frame parallel iterative method for accelerating real-time magnetic particle imaging reconstruction".PHYSICS IN MEDICINE AND BIOLOGY 68.24(2023):16.
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
[Shen, Yusong]'s Articles
[Zhang, Liwen]'s Articles
[Shang, Yaxin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Shen, Yusong]'s Articles
[Zhang, Liwen]'s Articles
[Shang, Yaxin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Shen, Yusong]'s Articles
[Zhang, Liwen]'s Articles
[Shang, Yaxin]'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.