高分辨率磁共振电特性成像及脑肿瘤诊断初步研究

doi:10.19595/j.cnki.1000-6753.tces.L90525

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Abstract Due to the concentration changing and other factors, the electrical properties between normal and tumor organizations are different significantly. With the magnetic resonance electrical properties tomography, the 3D in-vivo conductivity and permittivity distributions can be reconstructed, which makes revolution tracking of tumor possible. Based on the transaction between human body and the electro-magnetic field, a new reconstruction algorithm for electrical properties was developed under the condition of single homogeneity organization. Using quadrature mono channel coil of birdcage case and the real human body data of Duke model, the accuracy of the algorithm was verified by Sim4Life software simulations. On the platform of GE 3T Magnetic Resonance Imaging MR 750W, combined with the steady state free precession sequence, the data of metastatic encephaloma of one case were collected with radio frequency magnetic field distribution. The single-step and double-step involved reconstructions of conductivity were completed. Compared with the raw phase image from which the electrical properties originated, the resolution of conductivity map was higher. In the future, the combination of the developed magnetic resonance electrical properties tomography, the positive electron emission tomography and magnetic resonance dynamic enhancement imaging is expected to be used in the early diagnosis and treatment of tumors.

Key words： Magnetic resonance imaging electrical properties reconstruction functional images tumor diagnosis

Received: 14 July 2020

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TM154.3

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	Li Xiaonan
	Ren Wenting
	Liu Guoqiang
	Huang Xin

Cite this article:

Li Xiaonan,Ren Wenting,Liu Guoqiang等. Preliminary Conductivity Reconstruction by High-Resolution Magnetic Resonance Electrical Properties Tomography for Brain Tumor Diagnosis[J]. Transactions of China Electrotechnical Society, 2021, 36(18): 3860-3866.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.L90525 OR https://dgjsxb.ces-transaction.com/EN/Y2021/V36/I18/3860

[1] Foster K R, Schwan H P.Dielectric properties of tissues and biological materials: a critical review[J]. Critical Reviews in Biomedical Engineering, 1989, 17(1): 25-104.
[2] Jossinet J, Schmitt M.A review of parameters for the bioelectrical characterization of breast tissue[J]. Annals of the New York Academy of Sciences, 1999, 873(1): 30-41.
[3] Wilkinson B A, Smallwood R H, Keshtar A, et al.Electrical impedance spectroscopy and the diagnosis of bladder pathology: a pilot study[J]. The Journal of Urology, 2002, 168(1): 1563-1567.
[4] 黄欣, 刘国强, 夏慧, 等. 感应式磁声成像的脉冲磁场研究[J]. 电工技术学报, 2013, 28(2): 67-72.
Huang Xin, Liu Guoqiang, Xia Hui, et al.Study of pulsed magnetic field used in magnetioacoustic tomography with magnetic induction[J]. Transactions of China Electrotechnical Society, 2013, 28(2): 67-72.
[5] 张帅, 李子秀, 张雪莹, 等. 基于时间反演的磁动力超声成像仿真与实验[J]. 电工技术学报, 2019, 34(16): 3303-3310.
Zhang Shuai, Li Zixiu, Zhang Xueying, et al.The simulation and experiment of magneto-motive ultrasound imaging based on time reversal method[J]. Transactions of China Electrotechnical Society, 2019, 34(16): 3303-3310.
[6] 辛学刚. 人体组织电特性磁共振断层成像(MR EPT)技术进展[J]. 中国生物医学工程学报, 2015, 34(1): 83-90.
Xin Xuegang.Technological progresses of the mag-netic resonance electrical property tomography of human tissues[J]. Chinese Journal of Biomedical Engineering, 2015, 34(1): 83-90.
[7] Vaidya M V, Collins C M, Sodickson D K, et al.Dependence of and field patterns of surface coils on the electrical properties of the sample and the MR operating frequency[J]. Concepts in Magnetic Resonance Part B: Magnetic Resonance Engineering, 2016, 46(1): 25-40.
[8] 李彩莲, 李元园, 刘国强. 基于磁声电技术的肺部组织成像仿真研究[J]. 电工技术学报, 2021, 36(4): 732-737.
Li Cailian, Li Yuanyuan, Liu Guoqiang.Simulation of lung tissue imaging based on magneto-acousto-electrical technology[J]. Transactions of China Elec-trotechnical Society, 2021, 36(4): 732-737.
[9] Liao Yupeng, Oros-Peusquens A M, Lindemeyer J, et al. An MR technique for simultaneous quantitative imaging of water content, conductivity and suscepti-bility, with application to brain tumours using a 3T hybrid MR-PET scanner[J]. Scientific Reports, 2019, 9(1): 1-12.
[10] 杨文晖. 磁共振成像发展与超高场磁共振成像技术[J]. 物理, 2019, 48(4): 227-236.
Yang Wenhui.The development of ultra-high field magnetic resonance imaging[J]. Physics, 2019, 48(4): 227-236.
[11] Rosenkrantz A B, Verma S, Choyke P.Prostate magnetic resonance imaging and magnetic resonance imaging targeted biopsy in patients with a prior negative biopsy: a consensus statement by AUA and SAR[J]. The Journal of Urology, 2016, 196(6): 1613-1618.
[12] Zhang Xiaotong, de Moortele P F V, Schmitter S, et al. Complex B1 mapping and electrical properties imaging of the human brain using a 16-channel transceiver coil at 7T[J]. Magnetic Resonance in Medicine, 2013, 69(5): 1285-1296.
[13] Tha K K, Katscher U, Yamaguchi S, et al.Noninvasive electrical conductivity measurement by MRI: a test of its validity and the electrical conductivity characteristics of glioma[J]. European Radiology, 2018, 28(1): 348-355.
[14] Mori N, Tsuchiya K, Sheth D, et al.Diagnostic value of electric properties tomography (EPT) for differ-entiating benign from malignant breast lesions: comparison with standard dynamic contrast-enhanced MRI[J]. European Radiology, 2019, 29(4): 1778-1786.
[15] Voigt T, Katscher U, Doessel O.Quantitative conductivity and permittivity imaging of the human brain using electric properties tomography[J]. Magnetic Resonance in Medicine, 2011, 66(2): 456-466.
[16] Liu Jiaen, Zhang Xiaotong, Schmitter S, et al.Gradient-based electrical properties tomography (g EPT): a robust method for mapping electrical properties of biological tissues in vivo using magnetic resonance imaging[J]. Magnetic Resonance in Medicine, 2015, 74(3): 634-646.
[17] Hampe N, Herrmann M, Amthor T, et al.Dictionary-based electric properties tomography[J]. Magnetic Resonance in Medicine, 2019, 81(1): 342-349.
[18] 陈海燕, 赵世龙, 李晓南, 等. 低场永磁体磁共振射频场映像[J]. 波谱学杂志, 2018, 35(4): 498-504.
Chen Haiyan, Zhao Shilong, Li Xiaonan, et al.B1 mapping on low-field permanent magnet MRI scanner[J]. Chinese Journal of Magnetic Resonance, 2018, 35(4): 498-504.
[19] 张帅, 高昕宇, 周振宇, 等. 基于GrC模型的经颅磁声电刺激对神经元放电活动的影响[J]. 电工技术学报, 2019, 34(17): 3572-3580.
Zhang Shuai, Gao Xinyu, Zhou Zhenyu, et al.Effect of transcranial magnetic-acoustic electrical stimu-lation on neuronal discharge activity based on GrC model[J]. Transactions of China Electrotechnical Society, 2019, 34(17): 3572-3580.
[20] Astrid L L, Brunner D O, Pruessmann K P, et al.B1+ phase mapping at 7T and its application for in vivo electrical conductivity mapping[J]. Magnetic Resonance in Medicine, 2012, 67(2): 552-561.