Performance improvement of magneto-acousto-electrical tomography for biological tissues with sinusoid-Barker coded excitation

doi:10.1088/1674-1056/27/9/094302

中国物理B ›› 2018, Vol. 27 ›› Issue (9): 94302-094302.doi: 10.1088/1674-1056/27/9/094302

• ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS • 上一篇下一篇

Performance improvement of magneto-acousto-electrical tomography for biological tissues with sinusoid-Barker coded excitation

Zheng-Feng Yu(余正风), Yan Zhou(周), Yu-Zhi Li(李禹志), Qing-Yu Ma(马青玉), Ge-Pu Guo(郭各朴), Juan Tu(屠娟), Dong Zhang(章东)

1 Jiangsu Provincial Engineering Laboratory of Audio Technology, School of Physics and Technology, Nanjing Normal University, Nanjing 210023, China;
2 Institute of Acoustics, Nanjing University, Nanjing 210093, China

收稿日期:2018-05-28 修回日期:2018-07-03 出版日期:2018-09-05 发布日期:2018-09-05
通讯作者: Qing-Yu Ma E-mail:maqingyu@njnu.edu.cn
基金资助:
Project supported by the National Natural Science Foundation of China (Grant Nos. 11474166 and 11604156), the Natural Science Foundation of Jiangsu Province, China (Grant No. BK20161013), the Postdoctoral Science Foundation of China (Grant No. 2016M591874), the Postgraduate Research & Practice Innovation Program of Jiangsu Province, China (Grant No. KYCX17_1083), and the Priority Academic Program Development of Jiangsu Provincial Higher Education Institutions, China.

Performance improvement of magneto-acousto-electrical tomography for biological tissues with sinusoid-Barker coded excitation

Zheng-Feng Yu(余正风)¹, Yan Zhou(周)¹, Yu-Zhi Li(李禹志)¹, Qing-Yu Ma(马青玉)¹, Ge-Pu Guo(郭各朴)¹, Juan Tu(屠娟)², Dong Zhang(章东)²

1 Jiangsu Provincial Engineering Laboratory of Audio Technology, School of Physics and Technology, Nanjing Normal University, Nanjing 210023, China;
2 Institute of Acoustics, Nanjing University, Nanjing 210093, China

Received:2018-05-28 Revised:2018-07-03 Online:2018-09-05 Published:2018-09-05
Contact: Qing-Yu Ma E-mail:maqingyu@njnu.edu.cn
Supported by:
Project supported by the National Natural Science Foundation of China (Grant Nos. 11474166 and 11604156), the Natural Science Foundation of Jiangsu Province, China (Grant No. BK20161013), the Postdoctoral Science Foundation of China (Grant No. 2016M591874), the Postgraduate Research & Practice Innovation Program of Jiangsu Province, China (Grant No. KYCX17_1083), and the Priority Academic Program Development of Jiangsu Provincial Higher Education Institutions, China.

摘要/Abstract

摘要：

By combining magnetics, acoustics and electrics, the magneto-acoustic-electrical tomography (MAET) proves to possess the capability of differentiating electrical impedance variation and thus improving the spatial resolution. However, the signal-to-noise ratio (SNR) of the collected MAET signal is still unsatisfactory for biological tissues with low-level electrical conductivity. In this study, the formula of MAET measurement with sinusoid-Barker coded excitation is derived and simplified for a planar piston transducer. Numerical simulations are conducted for a four-layered gel phantom with the 13-bit sinusoid-Barker coded excitation, and the performances of wave packet recovery with side-lobe suppression are improved by using the mismatched compression filter, which is also demonstrated by experimentally measuring a three-layered gel phantom. It is demonstrated that comparing with the single-cycle sinusoidal excitation, the amplitude of the driving signal can be reduced greatly with an SNR enhancement of 10 dB using the 13-bit sinusoid-Barker coded excitation. The amplitude and polarity of the wave packet filtered from the collected MAET signal can be used to achieve the conductivity derivative at the tissue boundary. In this study, we apply the sinusoid-Barker coded modulation method and the mismatched suppression scheme to MAET measurement to ensure the safety for biological tissues with improved SNR and spatial resolution, and suggest the potential applications in biomedical imaging.

关键词: magneto-acousto-electrical tomography, sinusoid-Barker coded excitation, mismatched compression filter, side lobe suppression

Abstract:

Key words: magneto-acousto-electrical tomography, sinusoid-Barker coded excitation, mismatched compression filter, side lobe suppression

中图分类号: (Acoustical measurement methods in biological systems and media)

43.80.Ev

72.55.+s (Magnetoacoustic effects)

余正风, 周, 李禹志, 马青玉, 郭各朴, 屠娟, 章东. Performance improvement of magneto-acousto-electrical tomography for biological tissues with sinusoid-Barker coded excitation[J]. 中国物理B, 2018, 27(9): 94302-094302.

Zheng-Feng Yu(余正风), Yan Zhou(周), Yu-Zhi Li(李禹志), Qing-Yu Ma(马青玉), Ge-Pu Guo(郭各朴), Juan Tu(屠娟), Dong Zhang(章东). Performance improvement of magneto-acousto-electrical tomography for biological tissues with sinusoid-Barker coded excitation[J]. Chin. Phys. B, 2018, 27(9): 94302-094302.

参考文献 39

[1]	Peters M J, Stinstra G and Hendriks M 2001 Electromagnetics 21 545 doi: 10.1080/027263401752246199
[2]	Gielen F L H, Wallinga-de Jonge W and Boon K L 1984 Med. Biol. Eng. Comput. 22 569 doi: 10.1007/BF02443872
[3]	Gabriel C, Gabriel S and Corthout E 1996 Phys. Med. Biol. 41 2231 doi: 10.1088/0031-9155/41/11/001
[4]	Surowiec A J, Stuchly S S, Barr J R, et al. 1988 IEEE Trans. Biomed. Eng. 35 257 doi: 10.1109/10.1374
[5]	Metherall P, Barber D C, Smallwood R H, et al. 1996 Nature 380 509 doi: 10.1038/380509a0
[6]	Guo G, Su H, Ding H, et al. 2017 Acta. Phys. Sin. 66 164301
[7]	Lionheart W R B 2004 Physiol. Meas. 25 125 doi: 10.1088/0967-3334/25/1/021
[8]	Wang Q, Wang H, Zhang R, et al. 2012 Rev. Sci. Instrum. 83 104707 doi: 10.1063/1.4760253
[9]	Li Y, Liu G, Xia H, et al. 2018 IEEE Trans. Magn. 54 5100704
[10]	Zengin R and Gencer N G 2016 Phys. Med. Biol. 61 5887 doi: 10.1088/0031-9155/61/16/5887
[11]	Roth B J and Schalte K 2009 Med. Biol. Eng. Comput. 47 573 doi: 10.1007/s11517-009-0476-6
[12]	Kunyansky L, Ingram C P and Witte R S 2017 Phys. Med. Biol. 62 3025 doi: 10.1088/1361-6560/aa6222
[13]	Han W, Shah J and Balaban R S 1998 IEEE Trans. Biomed. Eng. 45 119 doi: 10.1109/10.650364
[14]	Han W 1999 Ultras. Imaging. 21 186 doi: 10.1177/016173469902100303
[15]	Xu Y and He B 2005 Phys. Med. Biol. 50 5175 doi: 10.1088/0031-9155/50/21/015
[16]	Li Y, Liu Z, Ma Q, et al. 2010 Chin. Phys. Lett. 27 084302 doi: 10.1088/0256-307X/27/8/084302
[17]	Guo G, Ding H, Dai S, et al. 2017 Chin. Phys. B 26 084301 doi: 10.1088/1674-1056/26/8/084301
[18]	Ammari H, Qiu L, Santosa F, et al. 2017 Inverse Problems 33 125006 doi: 10.1088/1361-6420/aa907e
[19]	Haider S, Hrbek A and Xu Y 2008 Physiol. Meas. 29 S41
[20]	Zhou Y, Ma Q, Guo G, et al. 2018 IEEE Trans. Biomed. Eng. 65 1086
[21]	Kunyansky L 2012 Inverse Problems 28 035002 doi: 10.1088/0266-5611/28/3/035002
[22]	Ammari H, Grasland-Mongrain P, Millen P, et al. 2015 J. Math. Pures App. 103 1390 doi: 10.1016/j.matpur.2014.11.003
[23]	Polydorides N 2018 Physiol. Meas. 39 044003 doi: 10.1088/1361-6579/aab657
[24]	Grasland-Mongrain P, Mari J M, Chapelon J Y, et al. 2013 IRBM 34 357 doi: 10.1016/j.irbm.2013.08.002
[25]	Renzhiglova E, Ivantsiv V and Xu, Y 2010 IEEE Trans. Ultrason., Ferroelectr., Freq. Control. 57 2391 doi: 10.1109/TUFFC.2010.1707
[26]	Pedersen M H, Misaridis T X and Jensen J A 2003 Ultrasound Med. Biol. 29 895 doi: 10.1016/S0301-5629(02)00784-6
[27]	Dantas T M, Costa-Felix R P B and Machado J C 2018 Appl. Acoust. 130 238 doi: 10.1016/j.apacoust.2017.10.008
[28]	Sun Z, Liu G, Xia H, et al. 2018 IEEE Trans. Ultrason., Ferroelectr. Freq. Control. 65 168 doi: 10.1109/TUFFC.2017.2781189
[29]	Sun Z, Liu G and Xia H 2017 Chin. Phys. B 26 124302 doi: 10.1088/1674-1056/26/12/124302
[30]	Sun Z, Liu G and Xia H 2018 Chin. Phys. Lett. 35 014301 doi: 10.1088/0256-307X/35/1/014301
[31]	Nowicki A, Klimonda Z, Lewandowski M, et al. 2006 Ultrasonics 44 121 doi: 10.1016/j.ultras.2005.10.001
[32]	Hansen K L, Udesen J, Gran F, et al. 2009 Ultraschall. Der. Med. 30 471 doi: 10.1055/s-0028-1109572
[33]	Nowicki A, Trots I, Lewin P A, et al. 2007 Ultrasonics 47 64 doi: 10.1016/j.ultras.2007.07.003
[34]	Xiang L, Zhao H and Gao S 2009 Ultrasound. Med. Biol. 35 94 doi: 10.1016/j.ultrasmedbio.2008.08.003
[35]	Sun X, Wang X, Zhou Y, et al. 2015 Chin. Phys. B 24 014302 doi: 10.1088/1674-1056/24/1/014302
[36]	Grasland-Mongrain P, Destrempes F, Mari J M, et al. 2015 Phys. Med. Biol. 60 3747 doi: 10.1088/0031-9155/60/9/3747
[37]	Rihaczek A W and Golden R M 1971 IEEE Trans. Aero. Elec. Sys. AES-7 1087 doi: 10.1109/TAES.1971.310209
[38]	O'Donnell M 1992 IEEE Trans. Ultrason., Ferroelectr. Freq. Control. 39 341 doi: 10.1109/58.143168
[39]	Fu J, Wei G, Huang Q, et al. 2014 Biomed. Signal. Proces. 13 306 doi: 10.1016/j.bspc.2014.06.004

Performance improvement of magneto-acousto-electrical tomography for biological tissues with sinusoid-Barker coded excitation

Performance improvement of magneto-acousto-electrical tomography for biological tissues with sinusoid-Barker coded excitation

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

参考文献 39

相关文章 2

Metrics

本文评价

推荐阅读 0

[1]	孙直申, 刘国强, 夏慧. Lorentz force electrical impedance tomography using pulse compression technique[J]. 中国物理B, 2017, 26(12): 124302-124302.
[2]	郭亮, 刘国强, 夏慧, 刘宇, 陆敏华. Conductivity reconstruction algorithms and numerical simulations for magneto-acousto-electrical tomography with piston transducer in scan mode[J]. , 2014, 23(10): 104303-104303.