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@ARTICLE{Bikulov:1005770,
author = {Bikulov, Timur and Offenhäusser, Andreas and Krause,
Hans-Joachim},
title = {{P}assive mixer model for multi-contrast magnetic particle
spectroscopy},
journal = {International journal on magnetic particle imaging},
volume = {9},
number = {1},
issn = {2365-9033},
address = {Lübeck},
publisher = {Infinite Science Publishing},
reportid = {FZJ-2023-01623},
pages = {2303087},
year = {2023},
abstract = {For realizing multi-contrast MPI with different types of
SuperParamagnetic Nanoparticles (SPN), reconstruction of the
particles’ core diameter distribution is required for
various points in space. We propose a principle for
distinguishing signals from SPNs of different diameters,
which exploits the offset field concept already used in MPI.
We show that precise reconstruction of Magnetization Curve
(MC) is the key to precise reconstruction of core diameter
distribution, as all information about distribution is
stored in the curvature. A Passive Mixer Model is proposed
in order to uniquely relate the MC to the intermodulation
products in the magnetization spectra. The model does not
require small signal assumption and hence does not lose
accuracy in the reconstruction under large excitation
fields. We show that a number of useful practical
conclusions can be drawn from this model.},
month = {Mar},
date = {2023-03-22},
organization = {International Workshop on Magnetic
Particle Imaging, Aachen (Germany), 22
Mar 2023 - 24 Mar 2023},
cin = {IBI-3},
ddc = {500},
cid = {I:(DE-Juel1)IBI-3-20200312},
pnm = {5241 - Molecular Information Processing in Cellular Systems
(POF4-524)},
pid = {G:(DE-HGF)POF4-5241},
typ = {PUB:(DE-HGF)8 / PUB:(DE-HGF)16},
doi = {10.18416/ijmpi.2023.2303087},
url = {https://juser.fz-juelich.de/record/1005770},
}