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. Weaver^4,5, Keith D. Paulsen^4,5, 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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