Electrical properties tomography based on radio frequency for human breast imaging_Journal of Biomedical Engineering

Authors：

LI Huaiming ,  YAN Dandan , LIU Hai

College of Information Engineering, China Jiliang University, Hangzhou 310018, P.R.China;

Corresponding author：

YAN Dandan, Email: dandanyan@cjlu.edu.cn

Keywords：

electrical properties; magnetic resonance imaging; biomedical imaging; conductivity; permittivity

DOI：

10.7507/1001-5515.201609033

Video：

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Through magnetic resonance electrical properties tomography (MR-EPT), electrical conductivity and permittivity of biological tissues could be reconstructed based on radio frequency field of magnetic resonance imaging (MRI) system. High precision and high resolution image could be obtained without current injection. In this study, XFDTD software was used to establish a finite element model of the human breast. Simulation was delivered at the Larmor frequency of 128 MHz by a 16-channel radio frequency coil. Conductivity and permittivity of the mammary tissue was reconstructed according to the B₁⁺ field's amplitude and phase of forward problem. Anti-noise performance of the algorithm was studied by adding noise to B₁⁺ field. The conductivity and permittivity's average relative error between simulation results and dielectric constant was 4.71% and 11.32%, respectively. With a signal-to-noise ratio of >30 dB, the noise added would not affect imaging results. This study demonstrated that high precision and high resolution image could be obtained by MR-EPT without excitation. MR-EPT had excellent feasibility and developing potential in early detection of diseases.

Citation： LI Huaiming, YAN Dandan, LIU Hai. Electrical properties tomography based on radio frequency for human breast imaging. Journal of Biomedical Engineering, 2017, 34(4): 529-534. doi: 10.7507/1001-5515.201609033 Copy

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1. Fricke H. The electric capacity of suspensions with special reference to blood. J Gen Physiol, 1925, 9(2): 137-152.
2. Katscher U, Abe H, Ivancevic M, et al. Systematic brain tumor conductivity study with optimized EPT sequence and reconstruction algorithm// 2013 21th Annual International Conference of the ISMRM. Salt Lake City, 2013: 33-40.
3. Katscher U, Djamshidi K, Voigt T, et al. Estimation of breast tumor conductivity using parabolic phase fitting// 2012 20th Annual International Conference of the ISMRM. Montreal, 2012: 75-82.
4. Haacke E, Petropoulos L S, Nilges E W, et al. Extraction of conductivity and permittivity using magnetic resonance imaging. Phys Med Biol, 1991, 36(6): 723-734.
5. Katscher U, Voigt T, Findeklee C, et al. Determination of electric conductivity and local SAR via B1 mapping. IEEE Trans Med Imaging, 2009, 28(9): 1365-1374.
6. Liu J E, Zhang X T, Schmitter S, et al. Gradient-based magnetic resonance electrical properties imaging of brain tissues// EMBC 2014 36th Annual International Conference of the IEEE. Melbourne: 2014: 6056-6059.
7. Lee S K, Bulumulla S, Lamb P, et al. Measurement of electrical properties of biological tissue at radio frequencies using magnetic resonance imaging//2015 9th European Conference on Antennas and Propagation (EuCAP). Lisbon, 2015: 1-4.
8. Eroglu H H, Eyuboglu B M. Induced current magnetic resonance electrical impedance tomography with z-gradient coil// EMBC 2014 36th Annual International Conference of the IEEE. Sheraton, 2014, 10: 1143-1146.
9. Hoult D I. The principle of reciprocity. J Magn Reson, 2011, 213(2): 344-346.
10. Zhang X T, Schmitter S, van de Moortele P F, et al. From complex B1 mapping to local SAR estimation for human brain MR imaging using multi-channel transceiver coil at 7T. IEEE Trans Med Imaging, 2013, 32(6): 1058-1067.

Journal of Biomedical Engineering

Electrical properties tomography based on radio frequency for human breast imaging

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