Design and Implementation of Low-Cost Distributed Tabletop Magnetic Particle Imaging System

Congcong Liu1; Yihang Zhou1; Caiyun Shi1; Zhuoxu Cui2; Yuanyuan Liu1; Yifan Guo2; Kangjian Huang3; Chao Zou1; Yanjie Zhu1; Xin Liu1; Ye Li1; Hairong Zheng1; Dong Liang1; Haifeng Wang1

2022-07

10.1109/TMAG.2022.3171315

IEEE Transactions on Magnetics   Impact Factor & Quartile

1941-0069

1941-0069

Magnetic particle imaging (MPI) is a novel tomography model that mainly benefits from the nonlinear magnetization response of magnetic nanoparticles under a dramatically changing magnetic field. Low-cost and compact system construction is beneficial to the application of education, biomedical research, preclinical and clinical medicine. Conversely, many aspects of the production cost, infrastructure requirements, and distributed measurements can be prohibitively expensive for them. In this article, a low-cost, compact tabletop MPI scanner based on a field-programmable gate array (FPGA) framework with an Advanced RISC Machine (ARM) cores was proposed to address these issues. First, the proposed low-cost MPI scanner was realized by substituting discrete elements, which is affordable to cover the most economically underdeveloped regions. Besides, the ARM cores embedded in the FPGA framework which has the inherent advantages of low-power operation, are exploited to execute high-power real-time data transmission tasks instead of conventional X86. And a customized tabletop MPI system was constructed via the proposed architecture for advanced distributed MPI research. Simulative vessel experiments with commercial superparamagnetic nanoparticles (SPIONs) have been performed in the proposed system by vessel phantoms. The experimental images showed that the proposed system could achieved an image resolution of approximately 2 mm, which can distinguish spatial locations of brain veins (2-4 mm in diameter). Moreover, the experiment of distributed transmission showed that the proposed system could perform the collection and transmission of distributed particle signals based on the inherent user datagram protocol (UDP) network transmission protocol with an average round trip time (RTT) of 28.044 ms. Hence, the proposed system has the potential to apply the network cloud to get distributed biomedical information for remote education or diagnosis.

Direct digital synthesis field-programmable gate array (FPGA) magnetic particle imaging (MPI) X-space

SCI ; EI

English

Others

Shenzhen Municipal Scientific Program["JCYJ20210324115810030","JCYJ20200109110612375"] ; High-level Talent Program in the Pearl River Talent Plan of Guangdong Province[2019QN01Y986] ; Shenzhen Peacock Plan Team Program[KQTD20180413181834876] ; Key Field Research and Development Program of Guangdong Province[2018B030335001] ; Guangdong Basic and Applied Basic Research Foundation[2021A1515110540] ; Key Laboratory for Magnetic Resonance and Multimodality Imaging in Guangdong Province[2020B1212060051] ; Science and Technology Plan Program of Guangzhou[202007030002] ; Strategic Priority Research Program of Chinese Academy of Sciences["XDB25000000","XDC07040000"] ; Chinese Academy of Sciences program[2020GZL006] ; Engineering Laboratory Program of Chinese Academy of Sciences[KFJPTXM-012] ; National Key Research and Development Program of China[2020YFA0712200] ; National Natural Science Foundation of China[61871373,81901736,81830056,61771463,"U1805261",81729003,12026603,62106252,81971611] ; Innovation and Technology Commission of the Government of Hong Kong SAR[MRP/001/18X] ; SIAT Innovation Program for Excellent Young Researchers[E1G031]

Engineering ; Physics

Engineering, Electrical & Electronic ; Physics, Applied

WOS:000818862500008

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

20221912091721

Brain mapping ; Clinical research ; Cost benefit analysis ; Costs ; Diagnosis ; Field programmable gate arrays (FPGA) ; Image resolution ; Logic gates ; Magnetization ; Nanomagnetics ; Nanoparticles ; Scanning ; Table lookup

Biomedical Engineering:461.1 ; Medicine and Pharmacology:461.6 ; Magnetism: Basic Concepts and Phenomena:701.2 ; Logic Elements:721.2 ; Computer Programming:723.1 ; Imaging Techniques:746 ; Nanotechnology:761 ; Cost and Value Engineering; Industrial Economics:911 ; Management:912.2 ; Solid State Physics:933

PHYSICS

Web of Science

1.Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
2.Medical AI Research Center, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
3.College of Engineering, Southern University of Science and Technology, Shenzhen, China

Congcong Liu,Yihang Zhou,Caiyun Shi,et al. Design and Implementation of Low-Cost Distributed Tabletop Magnetic Particle Imaging System[J]. IEEE Transactions on Magnetics,2022,58(7):1-15.

Congcong Liu.,Yihang Zhou.,Caiyun Shi.,Zhuoxu Cui.,Yuanyuan Liu.,...&Haifeng Wang.(2022).Design and Implementation of Low-Cost Distributed Tabletop Magnetic Particle Imaging System.IEEE Transactions on Magnetics,58(7),1-15.

Congcong Liu,et al."Design and Implementation of Low-Cost Distributed Tabletop Magnetic Particle Imaging System".IEEE Transactions on Magnetics 58.7(2022):1-15.