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Gradient-Based Pulsed Excitation and Relaxation Encoding in Magnetic Particle Imaging.

Authors :
Jia, Guang
Huang, Liyu
Wang, Ze
Liang, Xiaofeng
Zhang, Yu
Zhang, Yifei
Miao, Qiguang
Hu, Kai
Li, Tanping
Wang, Ying
Xi, Li
Feng, Xin
Hui, Hui
Tian, Jie
Source :
IEEE Transactions on Medical Imaging. Dec2022, Vol. 41 Issue 12, p3725-3733. 9p.
Publication Year :
2022

Abstract

Magnetic particle imaging (MPI) is a radiation-free vessel- and target-imaging modality that can sensitively detect nanoparticles. A static magnetic gradient field, referred to as a selection field, is required in MPI to provide a field-free region (FFR) for spatial encoding. The image resolution of MPI is closely related to the size of the FFR, which is determined by the selection field gradient amplitude. Because of the limitations of existing gradient coil hardware, the image resolution of MPI cannot satisfy the clinical requirements of human in vivo imaging. Pulsed excitation has been confirmed to improve the image resolution of MPI by breaking down the ‘relaxation wall.’ This work proposes the use of a pulsed waveform magnetic gradient from magnetic resonance imaging to further improve the image resolution of MPI. Through alignment of the gradient direction along the field-free line (FFL), each location on the FFL is able to have a unique excitation field strength that generates a specific relaxation-induced decay signal. Through excitation of nanoparticles on the FFL with many gradient profiles, a high-resolution, one-dimensional (1D) image can be reconstructed on the FFL. For larger magnetic nanoparticles, simulation results revealed that a pulsed excitation field with a greater flat portion generates a 1D bar pattern phantom image with a higher correlation and spatial resolution. With parallel FFL and gradient coil movements, high-resolution, two-dimensional (2D) Shepp–Logan phantom and brain vessel maps were reconstructed through repetition of the spatially resolved measurement of magnetic nanoparticles on the FFL. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02780062
Volume :
41
Issue :
12
Database :
Academic Search Index
Journal :
IEEE Transactions on Medical Imaging
Publication Type :
Academic Journal
Accession number :
160651479
Full Text :
https://doi.org/10.1109/TMI.2022.3193219