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Digital image elasto-tomography: mechanical property estimation of silicone phantoms

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Abstract

The application of a surface motion error based elasticity estimation method to hard and soft silicone phantom data is presented. Steady-state harmonic surface motion was measured at a limited number of measurement sites, and fitted with an ideal damped motion path. A finite element (FE) model was used to simulate phantom motion at a range of modulus and damping values. Comparing the simulated cases with the measured motion allowed estimation of the actual elastic properties of the silicone. These estimations compared favorably to static mechanical tests of the material, showing the DIET system can identify homogenous material stiffness values from surface motion measurements alone.

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Acknowledgements

The authors would like to acknowledge the assistance provided by R. Brown with capturing and processing of the experimental data, and to Dr M. Staiger for his assistance with the static mechanical testing.

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Authors and Affiliations

  1. Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand

    Ashton Peters, J. Geoffrey Chase & Elijah E. W. Van Houten

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  1. Ashton Peters
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  2. J. Geoffrey Chase
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  3. Elijah E. W. Van Houten
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Correspondence to Ashton Peters.

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Peters, A., Chase, J.G. & Van Houten, E.E.W. Digital image elasto-tomography: mechanical property estimation of silicone phantoms. Med Biol Eng Comput 46, 205–212 (2008). https://doi.org/10.1007/s11517-007-0275-x

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  • DOI: https://doi.org/10.1007/s11517-007-0275-x

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