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Ficko BW, Giacometti P, Diamond SG. Nonlinear Susceptibility Magnitude Imaging of Magnetic Nanoparticles. J Magn Magn Mater. 2015;378:267-277doi: 10.1016/j.jmmm.2014.11.049.
Ficko, B. W., Giacometti, P., & Diamond, S. G. (2015). Nonlinear Susceptibility Magnitude Imaging of Magnetic Nanoparticles. Journal of magnetism and magnetic materials, 378267-277. https://doi.org/10.1016/j.jmmm.2014.11.049
Ficko, Bradley W, et al. "Nonlinear Susceptibility Magnitude Imaging of Magnetic Nanoparticles." Journal of magnetism and magnetic materials vol. 378 (2015): 267-277. doi: https://doi.org/10.1016/j.jmmm.2014.11.049
Ficko BW, Giacometti P, Diamond SG. Nonlinear Susceptibility Magnitude Imaging of Magnetic Nanoparticles. J Magn Magn Mater. 2015 Mar 15;378:267-277. doi: 10.1016/j.jmmm.2014.11.049. PMID: 25505816; PMCID: PMC4259293.
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J Magn Magn Mater. 2015 Mar 15;378:267-277. doi: 10.1016/j.jmmm.2014.11.049.

Nonlinear Susceptibility Magnitude Imaging of Magnetic Nanoparticles.

Journal of magnetism and magnetic materials

Bradley W Ficko, Paolo Giacometti, Solomon G Diamond

Affiliations

  1. Thayer School of Engineering at Dartmouth, Hanover, New Hampshire, USA.

PMID: 25505816 PMCID: PMC4259293 DOI: 10.1016/j.jmmm.2014.11.049

Abstract

This study demonstrates a method for improving the resolution of susceptibility magnitude imaging (SMI) using spatial information that arises from the nonlinear magnetization characteristics of magnetic nanoparticles (mNPs). In this proof-of-concept study of nonlinear SMI, a pair of drive coils and several permanent magnets generate applied magnetic fields and a coil is used as a magnetic field sensor. Sinusoidal alternating current (AC) in the drive coils results in linear mNP magnetization responses at primary frequencies, and nonlinear responses at harmonic frequencies and intermodulation frequencies. The spatial information content of the nonlinear responses is evaluated by reconstructing tomographic images with sequentially increasing voxel counts using the combined linear and nonlinear data. Using the linear data alone it is not possible to accurately reconstruct more than 2 voxels with a pair of drive coils and a single sensor. However, nonlinear SMI is found to accurately reconstruct 12 voxels (R

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