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Abstract #0718

Proper Orthogonal Decomposition for Improved Assessment of Brain MR Elastography: Initial Results

Curtis L. Johnson1, Dimitrios C. Karampinos1,2, Danchin Chen1, Bradley P. Sutton2,3, William C. Olivero2,4, John G. Georgiadis1,2

1Mechanical Science and Engineering Department, University of Illinois at Urbana-Champaign, Urbana, IL, USA; 2Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; 3Bioengineering Department, University of Illinois at Urbana-Champaign, Urbana, IL, USA; 4Department of Neurosurgery, University of Illinois at Urbana-Champaign, Urbana, IL, USA


The Proper Orthogonal Decomposition (POD) method is proposed to extract shear wave modes from human brain Magnetic Resonance Elastography (MRE) data sets. The POD method allows for mode extraction from a dynamic system regardless of linearity. This is an improvement over current MRE post-processing techniques which assume that the harmonically actuated brain is a linear system, possibly leading to variations in results between studies. It is shown that POD can be used to extract dynamic modes in the human brain during MRE experiments, and can be used to improve data analysis and create a simple, dynamic model of the brain.