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A novel software framework for magnetic particle imaging reconstruction

文献类型：期刊论文

作者Shen, Yusong6; Hu, Chaoen3,4; Zhang, Peng1; Tian, Jie3,4,5,6; Hui, Hui2,3,4
刊名INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
出版日期2022-01-31
页码14
关键词magnetic particle imaging Python toolkit reconstruction scan simulation software framework
ISSN号0899-9457
DOI10.1002/ima.22707
通讯作者Tian, Jie(jie.tian@ia.ac.cn) ; Hui, Hui(hui.hui@ia.ac.cn)
英文摘要Magnetic particle imaging is a novel tomographic imaging technique that enables noninvasive and highly sensitive imaging of superparamagnetic iron oxide nanoparticles distributed in living subjects. Several studies have reported on the development of reconstruction algorithms; however, a unified software framework for magnetic particle imaging reconstruction has yet to be developed. Herein, we propose a high-performance, flexible, and easy-to-use magnetic particle imaging reconstruction framework using the Python programming language. The magnetic particle imaging reconstruction framework consists of the data access, preprocessing, image reconstruction, and postprocessing phases. We used the proposed framework to simulate the x-space and system matrix-based reconstruction methods with Cartesian and Lissajous scan trajectories. The reconstruction results of an open magnetic particle imaging dataset and a numerically simulated phantom demonstrated that the magnetic particle imaging reconstruction framework provides a reliable and accessible environment for magnetic particle imaging reconstruction, which can be extended and customized.
WOS关键词MODEL-BASED RECONSTRUCTION ; X-SPACE ; HYPERTHERMIA ; PLATFORM ; MPI ; 2D
资助项目National Key Research and Development Program of China[2016YFC0103803] ; National Key Research and Development Program of China[2017YFA0205200] ; National Key Research and Development Program of China[2017YFA0700401] ; National Natural Science Foundation of China[62027901] ; National Natural Science Foundation of China[81527805] ; National Natural Science Foundation of China[81671851] ; National Natural Science Foundation of China[81827808] ; CAS Youth Innovation Promotion Association[2018167] ; CAS Key Technology Talent Program ; Project of High-Level Talents Team Introduction in Zhuhai City[HLHPTP201703]
WOS研究方向Engineering ; Optics ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000748552700001
出版者WILEY
资助机构National 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
源URL[http://ir.ia.ac.cn/handle/173211/47316]  
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Tian, Jie; Hui, Hui
作者单位1.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Inst Automat, CAS Key Lab Mol Imaging, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
4.Beijing Key Lab Mol Imaging, Beijing, Peoples R China
5.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Med, Beijing, Peoples R China
6.Southeast Univ, Sch Comp Sci & Engn, Nanjing 211189, Peoples R China
推荐引用方式
GB/T 7714		 Shen, Yusong,Hu, Chaoen,Zhang, Peng,et al. A novel software framework for magnetic particle imaging reconstruction[J]. INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY,2022:14.
APA Shen, Yusong,Hu, Chaoen,Zhang, Peng,Tian, Jie,&Hui, Hui.(2022).A novel software framework for magnetic particle imaging reconstruction.INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY,14.
MLA Shen, Yusong,et al."A novel software framework for magnetic particle imaging reconstruction".INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY (2022):14.

入库方式： OAI收割

来源：自动化研究所

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