International Journal on Magnetic Particle Imaging IJMPI
Vol. 11 No. 1 Suppl 1 (2025): Int J Mag Part Imag
https://doi.org/10.18416/IJMPI.2025.2503066

Proceedings Articles

Three-Dimensional Magnetic Particle Imaging Resolution Enhancement Method Based on Structured Distillation Contrast Learning

Main Article Content

Yonghan Guo (School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Hubei, China), Zechen Wei (1)CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China;2)University of Chinese Academy of Sciences, Beijing, China), Zhiming Qiu (School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Hubei, China), Jiaxin Zhang (1)CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China;2)University of Chinese Academy of Sciences, Beijing, China), Hui Hui (1)CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China;2)University of Chinese Academy of Sciences, Beijing, China), Wenzhong Liu (School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Hubei, China)

Copyright (c) 2025 Yonghan Guo, Zechen Wei, Zhiming Qiu, Jiaxin Zhang, Hui Hui, Wenzhong Liu

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This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract




Magnetic Particle Imaging (MPI) is a novel imaging technique for visualizing the spatial distribution of magnetic nanoparticles. Due to variations in gradient field strength and scanning trajectories, MPI resolution shows anisotropy. This paper presents CSDNet, a model based on structured distillation contrast learning. It extracts low-resolution directional features from a two-dimensional isotropic teacher network to guide the training of the student network and improve the resolution in three dimensions through deblurring. The introduced contrast loss significantly improves the ability to extract image details. Experimental results confirm CSDNet’s superior performance in detail recovery and accuracy.




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