volume | PIER Journals

Abstract

In microwave induced thermo-acoustic tomography (MITAT) system, radiation of an antenna is a near field problem which gives rise to a non-uniform distribution of microwave radiation power in detection area. Due to this non-uniform distribution, the contrast of MITAT image which is proportional to the absorbed microwave energy will not reflect the real characteristics (dielectric properties) of biological tissues. In this paper, an image correction method based on electromagnetic simulation is proposed to correct the image contrast affected by the non-uniform microwave radiation distribution. First, the distribution of the microwave radiation power is simulated through a numerical simulation framework. Conventional time-reversal mirror (TRM) technique is applied to reconstruct the image. Then the microwave power distribution is applied to correct the image. The method is numerically demonstrated. The two samples with the same microwave absorption property and with different microwave absorption properties are experimentally investigated. Both numerical simulations and experimental results demonstrate the good performance of the proposed method.

1. Guo, B., J. Li, H. Zmuda, and M. Sheplak, "Multifrequency microwave-induced thermal acoustic imaging for breast cancer detection," IEEE Trans. Biomed. Eng., Vol. 54, No. 11, 2000-2010, 2007.
doi:10.1109/TBME.2007.895108 Google Scholar

2. Ku, G., B. D. Fornage, X. Jin, M. Xu, K. K. Hunt, and L. V. Wang, "Thermo-acoustic and photo-acoustic tomography of thick biological tissues toward breast imaging," Technol. Cancer Res. Treat., Vol. 4, 1-7, 2005. Google Scholar

3. Geng, K. and L. V. Wang, "Scanning microwave-induced thermo-acoustic tomography: Signal, resolution, and contrast," Med. Phys., Vol. 28, No. 1, 4-10, 2001.
doi:10.1118/1.1333409 Google Scholar

4. Nie, L. M., D. Xing, Q. Zhou, D. W. Yang, and H. Guo, "Signal processing in scanning thermoacoustic tomography in biological tissues," Med. Phys., Vol. 35, No. 9, 4026-4032, 2008.
doi:10.1118/1.2966345 Google Scholar

5. Xu, Y. and L. V. Wang, "Microwave-induced thermo-acoustic scanning CT for high-contrast and noninvasive breast cancer imaging," Med. Phys., Vol. 28, 1519-1524, 2001.
doi:10.1118/1.1380436 Google Scholar

6. Feng, D., Y. Xu, G. Ku, and L. V. Wang, "Microwave-induced thermo-acoustic tomography: Reconstruction by synthetic aperture," Med. Phys., Vol. 28, 2427-2431, 2001.
doi:10.1118/1.1418015 Google Scholar

7. Catapano, I., L. Di Donato, L. Crocco, O. M. Bucci, A. F. Mora- bito, T. Isernia, and R. Massa, "On quantitative microwave to-mography of female breast," Progress In Electromagnetics Research, Vol. 97, 75-93, 2009.
doi:10.2528/PIER09080604 Google Scholar

8. Chen, G. P., Z. Q. Zhao, W. J. Zheng, Z. P. Nie, and Q. H. Liu, "Application of time reversal mirror technique in microwave-induced thermo-acoustic tomography system," Science in China Series E: Technological Science, Vol. 52, No. 7, 2087-2095, 2009.
doi:10.1007/s11431-009-0148-7 Google Scholar

9. Chen, G. P., Z. Q. Zhao, Z. P. Nie, and Q. H. Liu, "A computational study of time reversal mirror technique for microwave-induced thermo-acoustic tomography," Journal of Electromagnetic Waves and Applications, Vol. 22, No. 12, 2191-2204, 2008.
doi:10.1163/156939308787522555 Google Scholar

10. Chen, G. P., W. B. Yu, Z. Q. Zhao, Z. P. Nie, and Q. H. Liu, "The prototype of microwave-induced thermo-acoustic tomography imaging by time reversal mirror," Journal of Electromagnetic Waves and Applications, Vol. 22, No. 11, 1574, 2008.
doi:10.1163/156939308786390021 Google Scholar

11. Zeng, L., D. Xing, H. Gu, D. Yang, S. Yang, and L. Xiang, "High anti-noise photo-acoustic tomography based on a modified filtered back projection algorithm with combination wavelet," Med. Phys., Vol. 34, 556-563, 2007.
doi:10.1118/1.2426406 Google Scholar

12. Xie, Y., B. Guo, J. Li, G. Ku, and L. V. Wang, "Adaptive and robust methods of reconstruction (ARMOR) for thermo-acoustic tomography," IEEE Trans. Biomed. Eng., Vol. 55, 2741-2752, 2008.
doi:10.1109/TBME.2008.919112 Google Scholar

13. Xu, M. and L. V. Wang, "Time-domain reconstruction for thermo-acoustic tomography in a spherical geometry," IEEE Trans. Med. Imag., Vol. 21, No. 7, 814-822, 2002.
doi:10.1109/TMI.2002.801176 Google Scholar

14. Yan, W., J.-D. Xu, N.-J. Li, and W.-X. Tan, "A novel fast near-field electromagnetic imaging method for full rotation problem," Progress In Electromagnetics Research, Vol. 120, 387-401, 2011. Google Scholar

15. Qi, Y., W. Tan, Y. Wang, W. Hong, and Y. Wu, "3D bistatic Omega-K imaging algorithm for near range microwave imaging systems with bistatic planar scanning geometry," Progress In Electromagnetics Research, Vol. 121, 409-431, 2011.
doi:10.2528/PIER11090205 Google Scholar

16. Kellnberger, S., A. Hajiaboli, D. Razansky, and V. Ntziachristos, "Near-field theroacoustic tomography of small animals," Phys. Med. Biol., Vol. 56, 3433-3444, 2011.
doi:10.1088/0031-9155/56/11/016 Google Scholar

17. Liu, Q. H., "The pseudospectral time-domain (PSTD) algorithm for acoustic waves in absorptive media," IEEE Trans. Ultrason., Freroelect., Freq. Contr., Vol. 45, No. 4, 1044-1055, 1998.
doi:10.1109/58.710587 Google Scholar

18. Treeby, B. E. and B. T. Cox, "k-wave: MATLAB toolbox for the simulation and reconstruction of photo-acoustic wave fields," Journal of Biomedical Optics, Vol. 15, No. 2, 021314, 2010. Google Scholar

19. Chen, G. P. and Z. P. Nie, "Critical technologies research of the microwave-induced thermo-acoustic tomography system,", 17-19, Dissertation, University of Electronic Science and Technology of China, 2009. Google Scholar

20. Razansky, D., M. Distel, C. Vinegoni, and R. Ma, "Multispectral opto-acoustic tomography of deep-seated fluorescent proteins in vivo," Nature Photonics, Vol. 3, 412-417, 2009.
doi:10.1038/nphoton.2009.98 Google Scholar

21. Nie, L. M., D. Xing, D. W. Yang, L. M. Zeng, and Q. Zhou, "Detection of foreign body using fast thermo-acoustic tomography with a multi-element linear transducer array," Appl. Phys. Lett., Vol. 90, 174109-174111, 2007.
doi:10.1063/1.2732824 Google Scholar

22. Yang, D. W., D. Xing, S. H. Yang, and L. Z. Xiang, "Fast full-view photo-acoustic imaging by combined scanning with a linear transducer array," Opt. Express, Vol. 15, 15566-15575, 2007.
doi:10.1364/OE.15.015566 Google Scholar

23. Yuan, Z. and H. B. Jiang, "Quantitative photo-acoustic tomography: Recovery of optical absorption coefficient maps of heterogeneous media," Appl. Phys. Lett., Vol. 88, 231101-231103, 2006.
doi:10.1063/1.2209883 Google Scholar

24. Xu, Y. and L. V. Wang, "Reconstructions in limited-view thermo-acoustic tomography," Med. Phys., Vol. 31, 724-733, 2004.
doi:10.1118/1.1644531 Google Scholar

25. Lazebnik, M., "A large-scale study of the ultrawideband microwave dielectric properties of normal, benign and malignant breast tissues obtained from cancer surgeries," Phys. Med. Biol., Vol. 52, 6093-6115, 2007.
doi:10.1088/0031-9155/52/20/002 Google Scholar

26. Su, J. L. and J. C. Lin, "Thermoelastic signatures of tissue phantom absorption and thermal expansion," IEEE Trans. Biomed. Eng., Vol. 43, 178-182, 1987. Google Scholar

27. Mashal, A., J. H. Booske, and S. C. Hagness, "Toward contrast-enhanced microwave-induced thermo-acoustic imaging of breast cancer: An experimental study of the effects of microbubbles on simple thermo-acoustic targets," Phys. Med. Biol., Vol. 54, 641-650, 2009.
doi:10.1088/0031-9155/54/3/011 Google Scholar

Dr. Jian Song

Professor Zhiqin Zhao

Dr. Jinguo Wang

Dr. Xiaozhang Zhu

Dr. Jiangniu Wu

Dr. Yulang Liu

Prof. Qing Huo Liu