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Abstract #4202

Motion Encoding Gradient Nonlinearity Correction for Magnetic Resonance Elastography

Joshua D. Trzasko1, Arvin Arani1, Philip A. Araoz1, Matt A. Bernstein1, Richard L. Ehman1, John Huston III1, Yunhong Shu1, and Ek Tsoon Tan2

1Mayo Clinic, Rochester, MN, United States, 2General Electric Global Research Center, Niskayuna, NY, United States

Due to engineering limitations, the spatial encoding gradient fields produced by an MRI scanner are never perfectly linear. Gradient non-ideality is typically associated with image geometric distortion, but it also imparts spatially varying bias in the signal generated during gradient-based motion encoding. In this work, we theoretically investigate how motion encoding gradient nonlinearity affects MR elastography and develop a corrective strategy applicable to any MRE protocol.

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