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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摘要由于离子浓度变化等因素,正常组织和肿瘤组织的介电特性有显著的差异。采用磁共振介电特性成像重建电导率和介电常数分布,有可能跟踪肿瘤演进。该文推导出单一人体组织匀质条件下的新介电特性重建算法,为减小拉普拉斯运算引入的噪声,提出控制步长方法以提高图像数据的抗噪性。以正交单通道鸟笼型线圈和杜克头数据模型为对象,由Sim4Life软件仿真验证新介电特性重建算法的准确性。在GE 3T磁共振机Discovery MR750W平台上,结合稳态自由进动序列,采集了1例脑转移肿瘤被试的射频磁场数据,完成了单倍和2倍步长下的电导率分布重建。与原始相位像相比,电导率重建像的结构分辨力有明显提升。未来,新型磁共振介电特性成像与正电子发射断层成像等融合,有望在肿瘤的早期诊断方面取得应用。

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关键词 ：磁共振成像, 介电特性重建, 功能影像, 肿瘤诊断

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

收稿日期: 2020-07-14

PACS:

TM154.3

基金资助:北京市自然科学基金（7182111）和国家自然科学基金（51577184, 51407174）资助项目

通讯作者: 刘国强男,1971年生,研究员,博士生导师,研究方向为电磁成像方法。E-mail：liuguoqiang@mail.iee.ac.cn

作者简介: 李晓南男,1980年生,博士,副研究员,研究方向为新型磁共振成像技术。E-mail: lxn@mail.iee.ac.cn

引用本文:

李晓南, 任雯廷, 刘国强, 黄欣. 高分辨率磁共振电特性成像及脑肿瘤诊断初步研究[J]. 电工技术学报, 2021, 36(18): 3860-3866. Li Xiaonan, Ren Wenting, Liu Guoqiang, Huang Xin. Preliminary Conductivity Reconstruction by High-Resolution Magnetic Resonance Electrical Properties Tomography for Brain Tumor Diagnosis. Transactions of China Electrotechnical Society, 2021, 36(18): 3860-3866.

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