Experimental validation of a numerical model for thermoacoustic imaging

Tao Qin, Xiong Wang, Huan Meng, Yexian Qin, Bruce Webb, Guobin Wan, Russell S. Witte, Hao Xin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Microwave-induced thermoacoustic imaging (TAI), inheriting fine resolution from ultrasound imaging with relatively low scattering and high dielectric contrast from microwave imaging, is considered a promising non-ionized hybrid approach for biomedical applications including breast cancer detection, foreign body detection, detection of renal calculi, etc. In TAI, ultrasound signals are generated from thermoelastic motions of tissue illuminated by pulsed microwave signals. Acoustic signals recorded by ultrasonic transducers located around the region of interest are then processed to reconstruct the images. Many experimental studies have been conducted, as well as numerical modeling. However, rigorous comparisons between experiment and numerical simulation are rarely reported. In this work, a TAI model involving complete EM and acoustic modeling of TAI system is described. Significant effort has been taken to keep the model parameters as close as possible to experimental conditions, including the exact microwave excitation, same sample configuration and geometry, accurate speeds of sound, and accurate ultrasound transducer response.

Original languageEnglish (US)
Title of host publication2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages1
ISBN (Electronic)9781479937462
DOIs
StatePublished - Nov 12 2014
Event2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2014 - Memphis, United States
Duration: Jul 6 2014Jul 11 2014

Publication series

Name2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2014 - Proceedings

Other

Other2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2014
CountryUnited States
CityMemphis
Period7/6/147/11/14

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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