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Abstract #3480

Calculation of Shear Stiffness in Noise Dominated Magnetic Resonance Elastography (MRE) Data Based on Principal Frequency Estimation.

Kiaran Patrick McGee1, David Lake1, Yogesh Mariappan1, Armando Manduca1, Rolf Hubmayr2, Richard Ehman1

1Department of Radiology, Mayo Clinic, Rochester, MN, United States; 2Pulmonology & Critical Care Medicine, Mayo Clinic, Rochester, MN, United States

A method for calculating the shear stiffness from magnetic resonance elastography data under conditions of low signal-to-noise ratio (SNR) is described. It is based on the analysis of the spectral content of the propagating shear wave field from which the principal spatial frequency is identified and ultimately shear stiffness calculated. Finite element simulations and ex vivo lung experiments were performed to evaluate the sensitivity of this approach in comparison to the local frequency estimation (LFE) method. Results indicate that principal frequency analysis accurately estimates shear stiffness in comparison to commonly applied LFE-based estimates under low SNR conditions.