Tissue Acousto-electric Effect Modeling from Solid Mechanics Theory

Xizi Song, Yexian Qin, Yanbin Xu, Pier Ingram, Russell S Witte, Feng Dong

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

The acousto-electric (AE) effect is a basic physical phenomenon which underlies the changes made in the conductivity of a medium by the application of focused ultrasound. Recently, based on AE effect, several biomedical imaging techniques have been widely studied, such as ultrasound modulated electrical impedance tomography (UMEIT) and ultrasound current source density imaging (UCSDI). To further investigate the mechanism of the AE effect in tissue, and to provide guidance for such studies, we have modeled the tissue AE effect using the theory of solid mechanics. Both bulk compression and thermal expansion of tissue are considered and discussed. Computation simulation shows that the muscle AE effect result, conductivity change rate, is 3.26×10−³ with 4.3 MPa peak pressure, satisfying the theoretical value. Bulk compression plays the main role for muscle AE effect, while thermal expansion makes almost no contribution to it. In addition, the AE signals of porcine muscle are measured at different focal positions. With the same magnitude order and same change trend, the experiment result confirms that the simulation result is effective. Both simulation and experimental results validate that tissue AE effect modeling using solid mechanics theory is feasible, which is of significance for the further development of related biomedical imaging techniques.

Original languageEnglish (US)
JournalIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
DOIs
StateAccepted/In press - Jul 7 2017

Keywords

  • Acousto-electric effect
  • bulk compression
  • Conductivity
  • solid mechanics
  • Solid modeling
  • Solids
  • Thermal expansion
  • thermal expansion
  • Tomography
  • Ultrasonic imaging

ASJC Scopus subject areas

  • Instrumentation
  • Acoustics and Ultrasonics
  • Electrical and Electronic Engineering

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