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Abstract #1409

Performance Evaluation of a Non-Linear Finite-Element Model for Assessing Yield Strength from in vivo 3D MR Images of Trabecular Bone

Ning Zhang1, Jeremy F. Magland1, Chamith S. Rajapakse1, Yusuf A. Bhagat1, Felix W. Wehrli1

1Laboratory for Structural NMR Imaging, University of Pennsylvania, Philadelphia, PA, United States

High-resolution image-based non-linear micro-finite element (FE) modeling can directly predict bone failure behavior thereby assessing osteoporotic fracture risk. In this work, a new program for non-linear μFE modeling was developed to estimate trabecular bone (TB) yield parameters based on a computationally efficient algorithm for linear FE analysis in conjunction with establishment of a TB failure criterion. A reproducibility study on in-vivo μMR images was conducted to assess its performance. The ability to distinguish means between four healthy young subjects suggests that the yield parameters derived from the non-linear program have reproducibility adequate to evaluate treatment effects in interventional studies.

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Keywords

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