International Journal on Magnetic Particle Imaging IJMPI
Vol. 12 No. 1 Suppl 1 (2026): Int J Mag Part Imag
https://doi.org/10.18416/IJMPI.2026.2603021

Proceedings Articles, ID 964

Towards Addressing Nanoparticle Relaxation in Model-Based Reconstruction

Main Article Content

Vladyslav Gapyak (Hochschule Darmstadt), Thomas März (1) Department of Mathematics and Natural Sciences, Hochschule Darmstadt, Schöfferstraße 3, 64295, Darmstadt, Germany; 2) Data Science Institute, European University of Technology, European Union), Andreas Weinmann (Algorithms for Computer Vision, Imaging and Data Analysis Lab, Technische Hochschule Würzburg-Schweinfurt, Ignaz-Schön-Straße 11 97421 Schweinfurt, Germany)

Copyright (c) 2026 Vladyslav Gapyak, Thomas März, Andreas Weinmann

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

Abstract

Magnetic Particle Imaging (MPI) is a tracer-based imaging modality that uses superparamagnetic nanoparticles as tracer. The Langevin model is a simple model that is capable of capturing the overall relation between the measured signal and the particles, but it ignores relaxation effects. Relaxation effects can be accounted for in the Debye model, which introduces a relaxation parameter ?, representing the delay in the alignment of the nanoparticles to the magnetic field.
Starting from the Debye model, we propose a relaxation adaption step to account for the delay ? in model-based reconstructions that use the Langevin model.

Article Details

References

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