International Journal on Magnetic Particle Imaging
Vol 8 No 1 Suppl 1 (2022): Int J Mag Part Imag
https://doi.org/10.18416/IJMPI.2022.2203074

Proceedings Articles

Design of a more easily shimmable gradiometric coil using linear programming

Main Article Content

Quincy Huynh  , Barry Fung  , Chinmoy Saayujya  , Irati Rodrigo , Steven Conolly 

Abstract

Magnetic particle imaging (MPI) is a tracer imaging modality that detects superparamagnetic iron oxide nanoparticles (SPIOs), enabling sensitive, radiation-free imaging of cells and disease pathologies. The arbitrary waveform relaxometer (AWR) is an indispensable platform for developing magnetic nanoparticle tracers and evaluating tracer performace for magnetic particle imaging applications. One of the biggest challenges in arbitrary waveform excitation is direct feedthrough interference, which is usually six orders of magnitude larger than the signal from magnetic nanoparticles. Direct feedthrough is often mitigated with a gradiometric cancellation coil which requires extremely precise placement in order to achieve adequate decoupling from the transmit excitation coil. This work will showcase a coil design of a transmit coil that meets excitation capability requirements with an order of magnitude more forgiving mechanical tolerance.

Article Details

References

[1] Z. W. Tay, P. W. Goodwill, D. W. Hensley, L. A. Taylor, B. Zheng, and
S. M. Conolly. A high-throughput, arbitrary-waveform, mpi spectrometer and relaxometer for comprehensive magnetic particle
optimization and characterization. Scientific Reports, 6(1), 2016,
doi:10.1038/srep34180.
[2] C. B. Top. An arbitrary waveform magnetic nanoparticle relaxometer with an asymmetrical three-section gradiometric receive coil.
Turkish Journal of Electrical Engineering and Computer Science,
28:1344–1354, 2020, doi:10.3906/elk-1907-201.
[3] A. Cagil, B. Tasdelen, and E. Saritas. Design of a doubly tunable gradiometer coil. International Journal on Magnetic Particle Imaging,
6(2):1–3, 2020, cited By 0. doi:10.18416/IJMPI.2020.2009064.
[4] D. Pantke, N. Holle, A. Mogarkar, M. Straub, and V. Schulz.
Multifrequency magnetic particle imaging enabled by a
combined passive and active drive field feed-through compensation approach. Medical Physics, 46(9):4077–4086, 2019,
doi:https://doi.org/10.1002/mp.13650.
[5] H. Xu, S. Conolly, G. Scott, and A. Macovski. Homogeneous magnet
design using linear programming. IEEE Transactions on Magnetics,
36(2):476–483, 2000, doi:10.1109/20.825817.
[6] S. E. Ungersma, H. Xu, B. A. Chronik, G. C. Scott, A. Macovski,
and S. M. Conolly. Shim design using a linear programming algorithm. Magnetic Resonance in Medicine, 52(3):619–627, 2004,
doi:https://doi.org/10.1002/mrm.20176.
[7] F. E. Neumann, Allgemeine Gesetze der inducirten elektrischen
Ströme, 1846. doi:10.1002/andp.18461430103.

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