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Abstract #1019

Improving uniqueness of Magnetic Resonance Fingerprinting (MRF) signal evolutions using spatio-temporal variation of non-linear ΔB0 shim coil.

Bhairav Bipin Mehta1, Michael Twieg1, Mingrui Yang1, Dan Ma1, Yun Jiang1, Simone Coppo1, Haoqin Zhu2, Shinya Handa2, Labros Petropoulos2, Hiroyuki Fujita2, and Mark Alan Griswold1

1Radiology, Case western reserve university, Cleveland, OH, United States, 2Quality Electrodynamics, Mayfield Village, OH, United States

Magnetic Resonance Fingerprinting (MRF) framework uses variation in acquisition parameters to generate unique signal evolutions, which can be treated as “fingerprints”. The iPRES coil concept provides independent and dynamic variations of multiple magnetic fields, which can be used to improve the uniqueness of signal evolutions through spatio-temporal variations of multiple fields. In this study, we present a proof-of-concept implementation illustrating spatio-temporal variations of local non-linear ΔB0 fields improve the uniqueness of signal evolutions for MRF. Our phantom results show reduction in variation of estimated tissue properties for data with 500frames, thereby illustrating the capability of acceleration using these field variations.

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