Uncertainty of reconstructions of spatially distributed magnetic nanoparticles under realistic noise conditions

Magnetorelaxometry (MRX) is a measurement technique able to sense the magnetic field originating from magnetic nanoparticles (MNPs). The concentration distribution of MNPs can be recovered by interpreting the MRX measurement data with a numerical model, i.e., by solving an inverse problem. We invest...

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Bibliographic Details
Published in:Journal of applied physics 2014-05, Vol.115 (17)
Main Authors: Coene, A., Crevecoeur, G., Liebl, M., Wiekhorst, F., Dupré, L., Steinhoff, U.
Format: Article
Language:English
Subjects:
Excitation
Inverse problems
Mathematical models
Measurement techniques
Nanoparticles
Noise
Sensitivity analysis
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Summary:Magnetorelaxometry (MRX) is a measurement technique able to sense the magnetic field originating from magnetic nanoparticles (MNPs). The concentration distribution of MNPs can be recovered by interpreting the MRX measurement data with a numerical model, i.e., by solving an inverse problem. We investigate the actual impact of noise on the MNP reconstruction quality when using distributed excitation coil configurations and how the excitation setup needs to be adapted when prior information on the MRX noise is known. Results show that an approximately 4 times larger sensitivity can be attained when adapting the excitation setup to the known realistic noise. The proposed methodology is able to assess the sensitivity limits of the MRX measurement setup more accurately compared to convenient noise models.
ISSN:0021-8979
1089-7550
DOI:10.1063/1.4863801