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Abstract #5600

Power-Law Multi-Frequency MR Elastography of the Human Brain with Super-resolution Imaging via Non-Linear Inversion

Elijah E.W. Van Houten1, Julien Testu2, Florian Dittmann3, Matthew D.J. McGarry4, John B. Weaver4,5, Keith D. Paulsen4,5, and Ingolf Sack3

1Département de génie mécanique, Université de Sherbrooke, Sherbrooke, QC, Canada, 2SoundBite Medical Solutions Inc., Sherbrooke, QC, Canada, 3Department of Radiology, Charité-Universitätsmedizin, Berlin, Germany, 4Thayer School of Engineering, Dartmouth College, Hanover, NH, United States, 5Department of Radiology, Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States

This abstract presents a non-linear inversion based power-law multi-frequency MR Elastography reconstruction, capable of reconstructing images at resolutions finer than the acquired displacement data. Reconstructed power-law parameters are compared with those obtained by logarithmic regression based on mono-frequency reconstructions of the same data.

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