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Pulsed Excitation in Magnetic Particle Imaging
Author(s) -
Zhi Wei Tay,
Daniel Hensley,
Jie Ma,
Prashant Chandrasekharan,
Bo Zheng,
Patrick Goodwill,
Steven Conolly
Publication year - 2019
Publication title -
ieee transactions on medical imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.322
H-Index - 224
eISSN - 1558-254X
pISSN - 0278-0062
DOI - 10.1109/tmi.2019.2898202
Subject(s) - magnetic particle imaging , excitation , physics , relaxation (psychology) , temporal resolution , signal (programming language) , image resolution , steady state (chemistry) , magnetization , computer science , computational physics , nuclear magnetic resonance , optics , magnetic field , magnetic nanoparticles , chemistry , psychology , social psychology , quantum mechanics , nanoparticle , programming language
Magnetic particle imaging (MPI) is a promising new tracer-based imaging modality. The steady-state, nonlinear magnetization physics most fundamental to MPI typically predicts improving resolution with increasing tracer magnetic core size. For larger tracers, and given typical excitation slew rates, this steady-state prediction is compromised by dynamic processes that induce a significant secondary blur and prevent us from achieving high resolution using larger tracers. Here, we propose a new method of excitation and signal encoding in MPI we call pulsed MPI to overcome this phenomenon. Pulsed MPI allows us to directly encode the steady-state magnetic physics into the time-domain signal. This in turn gives rise to a simple reconstruction algorithm to obtain images free of secondary relaxation-induced blur. Here, we provide a detailed description of our approach in 1D, discuss how it compares with alternative approaches, and show experimental data demonstrating better than 500- [Formula: see text] resolution (at 7 T/m) with large tracers. Finally, we show experimental images from a 2D implementation.

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