Microwave-induced thermoacoustic imaging model for potential breast cancer detection

Xiong Wang, Daniel R. Bauer, Russell Witte, Hao Xin

Research output: Contribution to journalArticle

83 Scopus citations

Abstract

In this study, we develop a complete microwave-induced thermoacoustic imaging (TAI) model for potential breast cancer imaging application. Acoustic pressures generated by different breast tissue targets are investigated by finite-difference time-domain simulations of the entire TAI process including the feeding antenna, matching mechanism, fluidic environment, 3-D breast model, and acoustic transducer. Simulation results achieve quantitative relationships between the input microwave peak power and the resulting specific absorption rate as well as the output acoustic pressure. Microwave frequency dependence of the acoustic signals due to different breast tissues is established across a broadband frequency range (2.3-12GHz), suggesting key advantages of spectroscopic TAI compare to TAI at a single frequency. Reconstructed thermoacoustic images are consistent with the modeling results. This model will contribute to design, optimization, and safety evaluation of microwave-induced TAI and spectroscopy.

Original languageEnglish (US)
Article number14
Pages (from-to)2782-2791
Number of pages10
JournalIEEE Transactions on Biomedical Engineering
Volume59
Issue number10
DOIs
StatePublished - Sep 27 2012

Keywords

  • Breast cancer detection
  • microwave spectroscopy
  • safety evaluation
  • thermoacoustic imaging (TAI)

ASJC Scopus subject areas

  • Biomedical Engineering

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