Preliminary Conductivity Reconstruction by High-Resolution Magnetic Resonance Electrical Properties Tomography for Brain Tumor Diagnosis

被引:0
作者
Li X. [1 ]
Ren W. [2 ]
Liu G. [1 ,3 ]
Huang X. [4 ]
机构
[1] Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing
[2] Department of Radiation Oncology, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing
[3] University of Chinese Academy of Sciences, Beijing
[4] Shandong Jiaotong University, Jinan
来源
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2021年 / 36卷 / 18期
关键词
Electrical properties reconstruction; Functional images; Magnetic resonance imaging; Tumor diagnosis;
D O I
10.19595/j.cnki.1000-6753.tces.L90525
中图分类号
学科分类号
摘要
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. © 2021, Electrical Technology Press Co. Ltd. All right reserved.
引用
收藏
页码:3860 / 3866
页数:6
相关论文
共 20 条
[1]  
Foster K R, Schwan H P., Dielectric properties of tissues and biological materials: a critical review, Critical Reviews in Biomedical Engineering, 17, 1, pp. 25-104, (1989)
[2]  
Jossinet J, Schmitt M., A review of parameters for the bioelectrical characterization of breast tissue, Annals of the New York Academy of Sciences, 873, 1, pp. 30-41, (1999)
[3]  
Wilkinson B A, Smallwood R H, Keshtar A, Et al., Electrical impedance spectroscopy and the diagnosis of bladder pathology: a pilot study, The Journal of Urology, 168, 1, pp. 1563-1567, (2002)
[4]  
Huang Xin, Liu Guoqiang, Xia Hui, Et al., Study of pulsed magnetic field used in magnetioacoustic tomography with magnetic induction, Transactions of China Electrotechnical Society, 28, 2, pp. 67-72, (2013)
[5]  
Zhang Shuai, Li Zixiu, Zhang Xueying, Et al., The simulation and experiment of magneto-motive ultrasound imaging based on time reversal method, Transactions of China Electrotechnical Society, 34, 16, pp. 3303-3310, (2019)
[6]  
Xin Xuegang, Technological progresses of the magnetic resonance electrical property tomography of human tissues, Chinese Journal of Biomedical Engineering, 34, 1, pp. 83-90, (2015)
[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, Concepts in Magnetic Resonance Part B: Magnetic Resonance Engineering, 46, 1, pp. 25-40, (2016)
[8]  
Li Cailian, Li Yuanyuan, Liu Guoqiang, Simulation of lung tissue imaging based on magneto-acoustoelectrical technology, Transactions of China Electrotechnical Society, 36, 4, pp. 732-737, (2021)
[9]  
Liao Yupeng, Oros-Peusquens A M, Lindemeyer J, Et al., An MR technique for simultaneous quantitative imaging of water content, conductivity and susceptibility, with application to brain tumours using a 3T hybrid MR-PET scanner, Scientific Reports, 9, 1, pp. 1-12, (2019)
[10]  
Yang Wenhui, The development of ultra-high field magnetic resonance imaging, Physics, 48, 4, pp. 227-236, (2019)