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Modelling of global boundary effects on harmonic motion imaging of soft tissues

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  • Xiaodong Zhao
  • Assimina A. Pelegri

Abstract

Biomechanical imaging techniques have been developed for soft tissue characterisation and detection of breast tumours. Harmonic motion imaging (HMI) uses a focused ultrasound technology to generate a harmonic radiation force in a localised region inside a soft tissue. The resulting dynamic response is used to map the local distribution of the mechanical properties of the tissue. In this study, a finite element (FE) model is developed to investigate the effect of global boundary conditions on the dynamic response of a soft tissue during HMI. The direct-solution steady-state dynamic analysis procedure is used to compute the harmonic displacement amplitude in FE simulations. The model is parameterised in terms of boundary conditions and viscoelastic properties, and the corresponding raster-scan displacement amplitudes are captured to examine its response. The effect of the model's global dimensions on the harmonic response is also investigated. It is observed that the dynamic response of soft tissue with high viscosity is independent of the global boundary conditions for regions remote to the boundary; thus, it can be subjected to local analysis to estimate the underlying mechanical properties. However, the dynamic response is sensitive to global boundary conditions for tissue with low viscosity or regions located near to the boundary.

Suggested Citation

  • Xiaodong Zhao & Assimina A. Pelegri, 2014. "Modelling of global boundary effects on harmonic motion imaging of soft tissues," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 17(9), pages 1021-1031, July.
    • Handle: RePEc:taf:gcmbxx:v:17:y:2014:i:9:p:1021-1031
    DOI: 10.1080/10255842.2012.736500
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    1. Lucian N. Iorga & Baoxiang Shan & Assimina A. Pelegri, 2009. "Finite element dynamic analysis of soft tissues using state-space model," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 12(2), pages 197-209.
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