2D quantitative imaging of magnetic nanoparticles by an ac biosusceptometry based scanning approach and inverse problem
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2021
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The use of magnetic nanoparticles (MNPs) in biomedical applications requires the quantitative
knowledge of their quantitative distribution within the body. AC Biosusceptometry (ACB)
is a biomagnetic technique recently employed to detect MNPs in vivo by measuring the MNPs
response when exposed to an alternate magnetic field. The ACB technique presents some interesting
characteristics: non-invasiveness, low operational cost, high portability, and no need for magnetic
shielding. ACB conventional methods until now provided only qualitative information about the
MNPs’ mapping in small animals. We present a theoretical model and experimentally demonstrate
the feasibility of ACB reconstructing 2D quantitative images of MNPs’ distributions. We employed
an ACB single-channel scanning approach, measuring at 361 sensor positions, to reconstruct MNPs’
spatial distributions. For this, we established a discrete forward problem and solved the ACB system’s
inverse problem. Thus, we were able to determine the positions and quantities of MNPs
in a field of view of 5 5 1 cm3 with good precision and accuracy. The results show the ACB
system’s capabilities to reconstruct the quantitative spatial distribution of MNPs with a spatial
resolution better than 1 cm, and a sensitivity of 1.17 mg of MNPs fixed in gypsum. These results
show the system’s potential for biomedical application of MNPs in several studies, for example,
electrochemical-functionalized MNPs for cancer cell targeting, quantitative sensing, and possibly
in vivo imaging.
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Magnetic nanoparticles, Inverse problem, Quantitative imaging, AC Biosusceptometry
Citação
BIASOTTI, Gabriel Gustavo de Albuquerque et al. 2D quantitative imaging of magnetic nanoparticles by an ac biosusceptometry based scanning approach and inverse problem. Sensors, Basel, v. 21, e7063, 2021. DOI: 10.3390/s21217063. Disponível em: https://www-ncbi-nlm-nih.ez49.periodicos.capes.gov.br/pmc/articles/PMC8587841/pdf/sensors-21-07063.pdf. Acesso em: 11 abr. 2023.