Meeting Banner
Abstract #1384

Magnetic Resonance Elastography based on Finite Deformation Imaging and Topology Optimization

Luyao Cai1, Claus Pedersen2, and Corey Neu1,3

1Biomedical Engineering, Purdue University, West Lafayette, IN, United States, 2Dassault Systèmes, Germany, 3Mechanical Engineering, University of Colorado Boulder, CO, United States

We developed an inverse modeling approach for magnetic resonance elastography of tissues undergoing finite (large) deformations at physiologically-relevant loading rates. Inverse modeling was designed to directly incorporate displacement-encoded MRI with topology optimization to reveal stiffness distributions. The approach was validated using forward simulations with known material properties and boundary conditions, and sensitivity analyses. Inverse modeling may enable noninvasive characterization of material stiffness for complex tissues like articular cartilage in disease and repair.

This abstract and the presentation materials are available to members only; a login is required.

Join Here