Journal
IEEE TRANSACTIONS ON MAGNETICS
Volume 52, Issue 7, Pages -Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMAG.2015.2513746
Keywords
Langevin function; magnetic particle imaging (MPI); magnetization response spectroscopy; mixing frequency method (MFM); signal-to-noise ratio (SNR)
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In this paper, we report a mixing frequency method (MFM) that has two driving fields, in which one is a high frequency of f(H) = 300 kHz and the other is a low frequency field with f(L) = 500 Hz. Two traditional magnetic particle imaging technologies are compared with an MFM, one with driving field frequency of f(M) = 25 kHz and the other at 10 kHz. An assumed iron-cobalt magnetic nanoparticle (MNP) suspension of which the sizes follow normal distribution is modeled and their magnetic response is modeled by Langevin function. Odd harmonics induced from the nonlinear magnetic response of MNPs under driving fields are extracted from the magnetization response spectroscopy. The signal-to-noise ratio, harmonic strengths at field-free points (FFPs) over strengths at non-FFPs, is defined as an evaluation standard to assess which technology is better for imaging spatial distribution of MNPs.
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