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The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 28, 2025
Filed:
May. 31, 2023
Magnetic particle imaging reconstruction method based on neural network constrained by forward model
Xidian University, Xi'an, CN;
Xueli Chen, Xi'an, CN;
Shenghan Ren, Xi'an, CN;
Pengfei Huang, Xi'an, CN;
Duofang Chen, Xi'an, CN;
Hui Xie, Xi'an, CN;
Shouping Zhu, Xi'an, CN;
Jie Tian, Xi'an, CN;
Xidian University, Xi'an, CN;
Abstract
In a magnetic particle imaging reconstruction method based on a neural network constrained by a forward model, a system matrix is obtained through calibration, voltage data generated by a specimen is measured, collected data are transformed into a frequency-domain by Fourier transform, frequency features of data are screened by a signal-to-noise ratio threshold, a reconstruction network is built by a Pytorch to realize mapping from one-dimensional voltage data to a multi-dimensional magnetic particle concentration distribution, the system matrix is used as the forward model of magnetic particle imaging, and simulated voltage data is generated according to a reconstructed multi-dimensional magnetic particle concentration distribution, a difference between the simulated voltage data and input voltage data is calculated as a loss function for network parameter updating, a total variation regularization term is added to the loss function, and training parameters and regularization parameters are adjusted to achieve an optimal reconstruction effect.