Performance improvement for thermoacoustic imaging using compressive sensing

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

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

5 Scopus citations

Abstract

Thermoacoustic imaging (TAI) is an emerging promising hybrid modality for biomedical imaging. High spatial resolution of TAI is conventionally accomplished by utilizing a short exciting microwave pulse, but squeezing the microwave pulse simultaneously degrades the signal-to-noise ratio (SNR) of the thermoacoustic image. There is usually a tradeoff between resolution and SNR. Compressive sensing (CS), a novel algorithm for signal recovery, is introduced into TAI to obtain images whose resolutions are largely independent of the microwave pulse width. In this work, the algorithm based on CS is applied to reconstruct images for different widths of rectangular microwave pulse varying from 0.5 to 2-μs. It is shown that the strength of the generated acoustic signals can be enhanced without compromising the resolution of the reconstructed images as the microwave pulse width increases.

Original languageEnglish (US)
Title of host publication2014 IEEE Antennas and Propagation Society International Symposium(APSURSI)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1919-1920
Number of pages2
ISBN (Electronic)9781479935406
DOIs
StatePublished - Sep 18 2014
Event2014 IEEE Antennas and Propagation Society International Symposium, APSURSI 2014 - Memphis, United States
Duration: Jul 6 2014Jul 11 2014

Publication series

NameIEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
ISSN (Print)1522-3965

Other

Other2014 IEEE Antennas and Propagation Society International Symposium, APSURSI 2014
CountryUnited States
CityMemphis
Period7/6/147/11/14

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Qin, T., Wang, X., Meng, H., Qin, Y., Wan, G., Witte, R. S., & Xin, H. (2014). Performance improvement for thermoacoustic imaging using compressive sensing. In 2014 IEEE Antennas and Propagation Society International Symposium(APSURSI) (pp. 1919-1920). [6905286] (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APS.2014.6905286