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Chin. Phys. B, 2017, Vol. 26(8): 084301    DOI: 10.1088/1674-1056/26/8/084301
ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS Prev   Next  

Boundary normal pressure-based electrical conductivity reconstruction for magneto-acoustic tomography with magnetic induction

Ge-Pu Guo(郭各朴)1, He-Ping Ding(丁鹤平)1, Si-Jie Dai(戴思捷)2, Qing-Yu Ma(马青玉)1
1 Key Laboratory of Optoelectronics of Jiangsu Province, School of Physics and Technology, Nanjing Normal University, Nanjing 210023, China;
2 Honors College, Nanjing Normal University, Nanjing 210023, China
Abstract  

As a kind of multi-physics imaging approach integrating the advantages of electrical impedance tomography and ultrasound imaging with the improved spatial resolution and image contrast, magneto-acoustic tomography with magnetic induction (MAT-MI) is demonstrated to have the capability of electrical impedance contrast imaging for biological tissues with conductivity differences. By being detected with a strong directional transducer, abrupt pressure change is proved to be generated by the gradient of the induced Lorentz force along the force direction at conductivity boundary. A simplified boundary normal pressure (BNP)-based conductivity reconstruction algorithm is proposed and the formula for conductivity distribution inside the object with the clear physical meaning of pressure derivative, is derived. Numerical simulations of acoustic pressure and conductivity reconstruction are conducted based on a 2-layer eccentric cylindrical phantom model using Hilbert transform. The reconstructed two-dimensional conductivity images accord well with the model, thus successfully making up the deficiency of only imaging conductivity boundary in traditional MAT-MI. The proposed method is also demonstrated to have a spatial resolution of one wavelength. This study provides a new method of reconstructing accurate electrical conductivity and suggests the potential applications of MAT-MI in imaging biological tissues with conductivity difference.

Keywords:  magneto-acoustic tomography with magnetic induction      boundary normal pressure      conductivity reconstruction      pressure derivative      Hilbert transform  
Received:  27 March 2017      Revised:  02 May 2017      Accepted manuscript online: 
PACS:  43.80.Ev (Acoustical measurement methods in biological systems and media)  
  72.55.+s (Magnetoacoustic effects)  
  73.50.Rb (Acoustoelectric and magnetoacoustic effects)  
Fund: 

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), and the Priority Academic Program Development of Jiangsu Provincial Higher Education Institutions, China.

Corresponding Authors:  Qing-Yu Ma     E-mail:  maqingyu@njnu.edu.cn
About author:  0.1088/1674-1056/26/8/

Cite this article: 

Ge-Pu Guo(郭各朴), He-Ping Ding(丁鹤平), Si-Jie Dai(戴思捷), Qing-Yu Ma(马青玉) Boundary normal pressure-based electrical conductivity reconstruction for magneto-acoustic tomography with magnetic induction 2017 Chin. Phys. B 26 084301

[1] Xu Y and He B 2005 Phys. Med. Biol. 50 5175
[2] Metherall P, Barber D C, Smallwood R H, et al. 1996 Nature 380 509
[3] Paulson K, Lionheart W and Pidcock M 1993 IEEE Trans. Med. Imag. 12 681
[4] Hartov A, Lepivert P, Soni N, et al. 2002 Med. Phys. 29 2806
[5] Wells P N T 2006 Phys. Med. Biol. 51 R83
[6] Oelze M L and Zachary J F 2006 Ultrasound Med. Biol. 32 1639
[7] Li X, Xu Y and He B 2006 J. Appl. Phys. 99 066112
[8] Mariappan L, Hu G and He B 2014 Med. Phys. 41 022902
[9] Xia R, Li X and He B 2007 Appl. Phys. Lett. 91 083903
[10] Brinker K and Roth B J 2008 IEEE Trans. Biomed. Eng. 55 1637
[11] Hu G and He B 2011 Plos One 6 e23421
[12] Sun X D, Zhou Y Q, Ma Q Y, et al. 2014 Sci. Bull. 59 3246
[13] Guo L, Liu G and Yang Y 2015 Appl. Phys. Exp. 8 086601
[14] Li Y, Ma Q, Zhang D and Xia R 2011 Chin. Phys. B 20 084302
[15] Li Y, Liu Z, Ma Q, Guo X and Zhang 2010 Chin. Phys. Lett. 27 084302
[16] Lu M, Liu X, Shi Y, Kang Y, Guang Y and Wan M 2012 Chin. Phys. Lett. 29 014301
[17] Ma Q and He B 2008 IEEE Trans. Biomed. Eng. 55 813
[18] Hu G, Li X and He B 2010 Appl. Phys. Lett. 97 103705
[19] Sun X, Zhang F, Ma Q, et al. 2012 Appl. Phys. Lett. 100 024105
[20] Mariappan L and He B 2013 IEEE Trans. Med. Imag. 32 619
[21] Guo L, Liu G and Xia H 2015 IEEE Trans. Biomed. Eng. 62 2114
[22] Yu K, Shao Q, Ashkenazi S, Bischof J C and He B 2016 IEEE Trans. Med. Imag. 35 2301
[23] Zhang W, Ma R, Zhang S, Yin T and Liu Z 2016 IEEE Trans. Biomed. Eng. 63 2585
[24] Mariappan L, Shao Q, Jiang C, Yu K, Ashkenazi S, Bischof J and He B 2016 Nanomed. Nanotech. Biol. Med. 12 689
[25] Zhou Y, Wang J, Sun X, Ma Q and Zhang D 2016 J. Appl. Phys. 119 094903
[26] Cheng J C 2012 Principles of Acoustics (Beijing: Science Press)
[27] Sun X, Fang D, Zhang D and Ma Q 2013 Med. Phys. 40 052902
[28] Xu M and Wang L 2003 IEEE Trans. Biomed. Eng. 50 1086
[29] Morse P and Feshbach H 1953 Methods of theoretical physics (New York: McGraw-Hill)
[30] Arfken G and Weber H 1995 Mathematical methods for physicists (San Diego: Academic)
[31] Wang J, Zhou Y, Sun X, Ma Q and Zhang D 2016 IEEE Trans. Biomed. Eng. 63 758
[32] Loupas T, Pye S D and McDickenm W N 1989 Phys. Med. Biol. 34 1691
[33] Tao Y, Wang M and Xia W 2016 Opt. Commun. 368 12
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