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Abstract #0304

Sequential Gradient Superposition (SGS) FREE

Parker JB Jenkins1, Xiaoping Wu2, Gregor Adriany2, and Mike Garwood2
1Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States, 2Radiology, University of Minnesota, Minneapolis, MN, United States

Synopsis

Keywords: Low-Field MRI, New Trajectories & Spatial Encoding Methods, RF encoding, Machine Learning, Low Cost MRIFrequency-modulated Rabi Encoded Echoes (FREE) is a RF encoding technique that has the potential reduce the overall costs of MRI by eliminating B0 gradient hardware and infrastructure. However, linear encoding quality has limited its efficacy. To address this problem, we present Sequential Gradient Superposition (SGS) FREE. With SGS-FREE we can decompose the net effective RF gradient into a series of sequentially applied RF gradient sets. This ultimately allows imcreased flexability in linear encoding. This simulation study explores the principle and demonstrates high resolution imaging potential with FREE technology.

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