Design and Demonstration of Four-Channel Received Coil Arrays for Vertical-Field MRI
- 作者: Chen Q.1,2, Xu Y.1, Chang Y.1, Yang X.1
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隶属关系:
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences
- University of Chinese Academy of Sciences
- 期: 卷 48, 编号 5 (2017)
- 页面: 501-515
- 栏目: Original Paper
- URL: https://journals.rcsi.science/0937-9347/article/view/247699
- DOI: https://doi.org/10.1007/s00723-017-0878-9
- ID: 247699
如何引用文章
详细
The layout of radio-frequency received coils is related to signal-to-noise ratio (SNR) in magnetic resonance imaging (MRI). In this paper, different structures of four-channel received coil arrays for vertical-field MRI are constructed and optimized by establishing the relationship between coil geometry and SNR to achieve a high SNR and a uniform SNR distribution in the region of interest (ROI). Then, the SNR distributions of three optimized configurations, including rectangular loops, non-definite shape surface coils, and solenoid loops as the main unit, are simulated and compared. The four-channel coil of solenoid loops as the main unit has been found to have the best performance with the highest mean SNR in the ROI when imaging without acceleration. In addition, g-factor and 2D SENSE SNR in yoz-plane are simply analyzed, which show a sharp decrease in SNR for all the coils. Finally, all the coils are manufactured and operated at a 0.5 T permanent magnet MRI system with phantom and joint imaging experiments. Using pixel-by-pixel manner to evaluate SNR map, the experimental results are consistent with the simulation results, while parallel imaging experiment results show that the major consideration in low field MRI is the improvement of SNR value and uniformity rather than that of the imaging speed. As different constructions of four-channel received coils are investigated, we have found the most effective configuration with high and uniform SNR for vertical-field MRI.
作者简介
Qiaoyan Chen
Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences
Email: xiaodong.yang@sibet.ac.cn
中国, Suzhou, Jiangsu, 215163; Beijing, 100049
Yajie Xu
Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences
Email: xiaodong.yang@sibet.ac.cn
中国, Suzhou, Jiangsu, 215163
Yan Chang
Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences
Email: xiaodong.yang@sibet.ac.cn
中国, Suzhou, Jiangsu, 215163
Xiaodong Yang
Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences
编辑信件的主要联系方式.
Email: xiaodong.yang@sibet.ac.cn
中国, Suzhou, Jiangsu, 215163