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First Superferromagnetic Remanence Characterization and Scan Optimization for Super-Resolution Magnetic Particle Imaging

Authors :
K. L. Barry Fung
Caylin Colson
Jacob Bryan
Chinmoy Saayujya
Javier Mokkarala-Lopez
Allison Hartley
Khadija Yousuf
Renesmee Kuo
Yao Lu
Benjamin D. Fellows
Prashant Chandrasekharan
Steven M. Conolly
Source :
Nano Letters. 23:1717-1725
Publication Year :
2023
Publisher :
American Chemical Society (ACS), 2023.

Abstract

Magnetic particle imaging (MPI) is a sensitive, high contrast tracer modality that images superparamagnetic iron oxide nanoparticles (SPIOs), enabling radiation-free theranostic imaging. MPI resolution is currently limited by scanner and particle constraints. Recent tracers have experimentally shown 10x resolution and signal improvements, with dramatically sharper M-H curves. Experiments suggest that this results from interparticle interactions, conforming to literature definitions of superferromagnetism. We thus call our tracers superferromagnetic iron oxide nanoparticles (SFMIOs). While SFMIOs provide excellent signal and resolution, they exhibit hysteresis, with non-negligible remanence and coercivity. We provide the first report on MPI scanning with remanence and coercivity, including the first quantitative measurements of SFMIO remanence decay and reformation using a novel multi-echo pulse sequence. We also describe an SNR-optimized pulse sequence for SFMIOs under human electromagnetic safety limitations. The resolution from SFMIOs could enable clinical MPI with 10× reduced scanner selection fields, reducing hardware costs by up to 100×.

Details

ISSN :
15306992 and 15306984
Volume :
23
Database :
OpenAIRE
Journal :
Nano Letters
Accession number :
edsair.doi.dedup.....1bee48b71cedf9ab7bd32a8c9c1a1065
Full Text :
https://doi.org/10.1021/acs.nanolett.2c04404