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Title: Magnetic nanoparticle imaging using multiple electron paramagnetic resonance activation sequences

Abstract

Magnetic nanoparticles play an important role in several biomedical applications such as hyperthermia, drug targeting, and disease detection. To realize an effective working of these applications, the spatial distribution of the particles needs to be accurately known, in a non-invasive way. Electron Paramagnetic Resonance (EPR) is a promising and sensitive measurement technique for recovering these distributions. In the conventional approach, EPR is applied with a homogeneous magnetic field. In this paper, we employ different heterogeneous magnetic fields that allow to stabilize the solution of the associated inverse problem and to obtain localized spatial information. A comparison is made between the two approaches and our novel adaptation shows an average increase in reconstruction quality by 5% and is 12 times more robust towards noise. Furthermore, our approach allows to speed up the EPR measurements while still obtaining reconstructions with an improved accuracy and noise robustness compared to homogeneous EPR.

Authors:
;  [1];  [2]
  1. Department of Electrical Energy, Systems and Automation, Ghent University, Zwijnaarde 9052 (Belgium)
  2. Department of Industrial Technology and Construction, Ghent University, Ghent 9000 (Belgium)
Publication Date:
OSTI Identifier:
22410052
Resource Type:
Journal Article
Journal Name:
Journal of Applied Physics
Additional Journal Information:
Journal Volume: 117; Journal Issue: 17; Other Information: (c) 2015 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0021-8979
Country of Publication:
United States
Language:
English
Subject:
75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY; COMPARATIVE EVALUATIONS; ELECTRON SPIN RESONANCE; IMAGE PROCESSING; INVERSE SCATTERING PROBLEM; MAGNETIC FIELDS; MAGNETIC MATERIALS; NANOPARTICLES; SPATIAL DISTRIBUTION

Citation Formats

Coene, A., E-mail: annelies.coene@ugent.be, Dupré, L., and Crevecoeur, G. Magnetic nanoparticle imaging using multiple electron paramagnetic resonance activation sequences. United States: N. p., 2015. Web. doi:10.1063/1.4906948.
Coene, A., E-mail: annelies.coene@ugent.be, Dupré, L., & Crevecoeur, G. Magnetic nanoparticle imaging using multiple electron paramagnetic resonance activation sequences. United States. doi:10.1063/1.4906948.
Coene, A., E-mail: annelies.coene@ugent.be, Dupré, L., and Crevecoeur, G. Thu . "Magnetic nanoparticle imaging using multiple electron paramagnetic resonance activation sequences". United States. doi:10.1063/1.4906948.
@article{osti_22410052,
title = {Magnetic nanoparticle imaging using multiple electron paramagnetic resonance activation sequences},
author = {Coene, A., E-mail: annelies.coene@ugent.be and Dupré, L. and Crevecoeur, G.},
abstractNote = {Magnetic nanoparticles play an important role in several biomedical applications such as hyperthermia, drug targeting, and disease detection. To realize an effective working of these applications, the spatial distribution of the particles needs to be accurately known, in a non-invasive way. Electron Paramagnetic Resonance (EPR) is a promising and sensitive measurement technique for recovering these distributions. In the conventional approach, EPR is applied with a homogeneous magnetic field. In this paper, we employ different heterogeneous magnetic fields that allow to stabilize the solution of the associated inverse problem and to obtain localized spatial information. A comparison is made between the two approaches and our novel adaptation shows an average increase in reconstruction quality by 5% and is 12 times more robust towards noise. Furthermore, our approach allows to speed up the EPR measurements while still obtaining reconstructions with an improved accuracy and noise robustness compared to homogeneous EPR.},
doi = {10.1063/1.4906948},
journal = {Journal of Applied Physics},
issn = {0021-8979},
number = 17,
volume = 117,
place = {United States},
year = {2015},
month = {5}
}