Electromagnetic–acoustic sensing for biomedical applications
This paper reviews the theories and applications of electromagnetic–acoustic (EMA) techniques (covering light-induced photoacoustic, microwave-induced thermoacoustic, magnetic-modulated thermoacoustic, and X-ray-induced thermoacoustic) belonging to the more general area of electromagnetic (EM) hybri...
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sg-ntu-dr.10356-895792020-03-07T14:02:38Z Electromagnetic–acoustic sensing for biomedical applications Liu, Siyu Zhang, Ruochong Zheng, Zesheng Zheng, Yuanjin School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Electromagnetic-acoustics Photoacoustic This paper reviews the theories and applications of electromagnetic–acoustic (EMA) techniques (covering light-induced photoacoustic, microwave-induced thermoacoustic, magnetic-modulated thermoacoustic, and X-ray-induced thermoacoustic) belonging to the more general area of electromagnetic (EM) hybrid techniques. The theories cover excitation of high-power EM field (laser, microwave, magnetic field, and X-ray) and subsequent acoustic wave generation. The applications of EMA methods include structural imaging, blood flowmetry, thermometry, dosimetry for radiation therapy, hemoglobin oxygen saturation (SO2) sensing, fingerprint imaging and sensing, glucose sensing, pH sensing, etc. Several other EM-related acoustic methods, including magnetoacoustic, magnetomotive ultrasound, and magnetomotive photoacoustic are also described. It is believed that EMA has great potential in both pre-clinical research and medical practice. Published version 2018-10-12T05:23:58Z 2019-12-06T17:28:48Z 2018-10-12T05:23:58Z 2019-12-06T17:28:48Z 2018 Journal Article Liu, S., Zhang, R., Zheng, Z., & Zheng, Y. (2018). Electromagnetic–Acoustic Sensing for Biomedical Applications. Sensors, 18(10), 3203-. doi:10.3390/s18103203 1424-8220 https://hdl.handle.net/10356/89579 http://hdl.handle.net/10220/46300 10.3390/s18103203 en Sensors © 2018 by The Author(s). Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). 23 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Electromagnetic-acoustics Photoacoustic Liu, Siyu Zhang, Ruochong Zheng, Zesheng Zheng, Yuanjin Electromagnetic–acoustic sensing for biomedical applications |
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This paper reviews the theories and applications of electromagnetic–acoustic (EMA) techniques (covering light-induced photoacoustic, microwave-induced thermoacoustic, magnetic-modulated thermoacoustic, and X-ray-induced thermoacoustic) belonging to the more general area of electromagnetic (EM) hybrid techniques. The theories cover excitation of high-power EM field (laser, microwave, magnetic field, and X-ray) and subsequent acoustic wave generation. The applications of EMA methods include structural imaging, blood flowmetry, thermometry, dosimetry for radiation therapy, hemoglobin oxygen saturation (SO2) sensing, fingerprint imaging and sensing, glucose sensing, pH sensing, etc. Several other EM-related acoustic methods, including magnetoacoustic, magnetomotive ultrasound, and magnetomotive photoacoustic are also described. It is believed that EMA has great potential in both pre-clinical research and medical practice. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Liu, Siyu Zhang, Ruochong Zheng, Zesheng Zheng, Yuanjin |
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Article |
author |
Liu, Siyu Zhang, Ruochong Zheng, Zesheng Zheng, Yuanjin |
author_sort |
Liu, Siyu |
title |
Electromagnetic–acoustic sensing for biomedical applications |
title_short |
Electromagnetic–acoustic sensing for biomedical applications |
title_full |
Electromagnetic–acoustic sensing for biomedical applications |
title_fullStr |
Electromagnetic–acoustic sensing for biomedical applications |
title_full_unstemmed |
Electromagnetic–acoustic sensing for biomedical applications |
title_sort |
electromagnetic–acoustic sensing for biomedical applications |
publishDate |
2018 |
url |
https://hdl.handle.net/10356/89579 http://hdl.handle.net/10220/46300 |
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1681036794280280064 |