Anisotropy exists in many soft biological tissues. The most common anisotropy is transverse isotropy, which is typical for fiber-reinforced structures, such as the brain white matter, tendon and muscle. Although many methods have been proposed to determine tissue properties, techniques to characterize transversely isotropic materials remain limited. The goal of this study is to investigate the feasibility of asymmetric indentation coupled with numerical optimization based on inverse finite element (FE) simulation to characterize transversely isotropic soft biological tissues. The proposed approach combining indentation and optimization may provide a useful general framework to characterize a variety of fiber-reinforced soft tissues in the future.
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ASME 2015 International Mechanical Engineering Congress and Exposition
November 13–19, 2015
Houston, Texas, USA
Conference Sponsors:
- ASME
ISBN:
978-0-7918-5738-0
PROCEEDINGS PAPER
Automated Estimation of Elastic Material Parameters of a Transversely Isotropic Material Using Asymmetric Indentation and Inverse Finite Element Analysis
Chung-Hao Lee,
Chung-Hao Lee
University of Texas at Austin, Austin, TX
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Ruth J. Okamoto,
Ruth J. Okamoto
Washington University, St. Louis, MO
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Songbai Ji
Songbai Ji
Dartmouth College, Hanover, NH
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Yuan Feng
Soochow University, Suzhou, China
Chung-Hao Lee
University of Texas at Austin, Austin, TX
Lining Sun
Soochow University, Suzhou, China
Ruth J. Okamoto
Washington University, St. Louis, MO
Songbai Ji
Dartmouth College, Hanover, NH
Paper No:
IMECE2015-51112, V003T03A007; 5 pages
Published Online:
March 7, 2016
Citation
Feng, Y, Lee, C, Sun, L, Okamoto, RJ, & Ji, S. "Automated Estimation of Elastic Material Parameters of a Transversely Isotropic Material Using Asymmetric Indentation and Inverse Finite Element Analysis." Proceedings of the ASME 2015 International Mechanical Engineering Congress and Exposition. Volume 3: Biomedical and Biotechnology Engineering. Houston, Texas, USA. November 13–19, 2015. V003T03A007. ASME. https://doi.org/10.1115/IMECE2015-51112
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