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Abstract #2423

Mechanical Properties of the Frontal Lobe Gray and White Matter Measured Using MR Elastography with Soft Prior Regularization

Matthew D.J. McGarry1, Curtis Jonhson2, 3, Elijah Van Houten4, Bradley P. Sutton, 35, John G. Georgiadis2, 3, John Weaver1, 6, Keith D. Paulsen1, 7

1Thayer School of Engineering, Dartmouth College, Hanover, NH, United States; 2Department of Mechanical Science and Engineering, University of Illinois at Urbana Champaign, Urbana, IL, United States; 3Beckman institute for Advanced Science and Technology, University of Illinois at Urbana Champaign, Urbana, IL, United States; 4Department of Mechanical Engineering, University de Sherbrooke, Sherbrooke, Quebec, Canada; 5Department of Bioengineering, University of Illinois at Urbana Champaign, Urbana, IL, United States; 6Department of Radiology, Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States; 7Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States

A method of including spatial information in MR elastography mechanical property reconstruction is presented. Soft prior regularization is implemented through the addition of a penalty term to the objective function of a non-linear inversion algorithm to favor solutions with homogeneous property values in predefined spatial regions. Viscoelastic properties of the gray and white matter of the frontal lobe are presented to demonstrate the technique.

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Keywords

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