Performance improvement for thermoacoustic imaging using compressive sensing

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

doi:10.1109/APS.2014.6905286

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 proceeding › Conference contribution

8 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 language	English (US)
Title of host publication	2014 IEEE Antennas and Propagation Society International Symposium(APSURSI)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1919-1920
Number of pages	2
ISBN (Electronic)	9781479935406
DOIs	https://doi.org/10.1109/APS.2014.6905286
State	Published - Sep 18 2014
Event	2014 IEEE Antennas and Propagation Society International Symposium, APSURSI 2014 - Memphis, United States Duration: Jul 6 2014 → Jul 11 2014

Publication series

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

Other

Other	2014 IEEE Antennas and Propagation Society International Symposium, APSURSI 2014
Country/Territory	United States
City	Memphis
Period	7/6/14 → 7/11/14

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/APS.2014.6905286

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). Article 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

Performance improvement for thermoacoustic imaging using compressive sensing. / Qin, Tao; Wang, Xiong; Meng, Huan et al.
2014 IEEE Antennas and Propagation Society International Symposium(APSURSI). Institute of Electrical and Electronics Engineers Inc., 2014. p. 1919-1920 6905286 (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Qin, T, Wang, X, Meng, H, Qin, Y, Wan, G, Witte, RS & Xin, H 2014, Performance improvement for thermoacoustic imaging using compressive sensing. in 2014 IEEE Antennas and Propagation Society International Symposium(APSURSI)., 6905286, IEEE Antennas and Propagation Society, AP-S International Symposium (Digest), Institute of Electrical and Electronics Engineers Inc., pp. 1919-1920, 2014 IEEE Antennas and Propagation Society International Symposium, APSURSI 2014, Memphis, United States, 7/6/14. https://doi.org/10.1109/APS.2014.6905286

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

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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.",

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Performance improvement for thermoacoustic imaging using compressive sensing

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