Design and Optimization of a Four-Channel Received Coil for Vertical-Field MRI
- Authors: Chen Q.1,2, Xu Y.1, Chang Y.1, Yang X.1
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Affiliations:
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences
- University of Chinese Academy of Sciences
- Issue: Vol 47, No 10 (2016)
- Pages: 1147-1158
- Section: Article
- URL: https://journals.rcsi.science/0937-9347/article/view/247560
- DOI: https://doi.org/10.1007/s00723-016-0822-4
- ID: 247560
Cite item
Abstract
Signal-to-noise ratio (SNR) is an important factor in magnetic resonance imaging (MRI), and it strongly depends on the structure of radio frequency (RF) coils. To obtain a high SNR and uniform image in a vertical-field MRI at 0.5 T, a four-channel received coil has been designed and optimized by establishing the relationship between coil geometry and SNR. Then, the most efficient design of coil array is optimized by the Particle Swarm Optimization (PSO) algorithm. After optimization, the coil is manufactured, where the decoupling is implemented with only inductors and operated at the permanent magnet MRI system built in our laboratory. Finally, SNR map with pixel-by-pixel manner is applied to evaluate the imaging quality, which shows the accuracy between simulated and experimental results. Furthermore, a higher SNR and a more homogeneity in the image have been achieved by the optimized coil array. Hence, this optimized design for the phased-array received coil in vertical-field MRI is verified and applicable.
About the authors
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
China, Suzhou, Jiangsu, 215163; Beijing, 100049
Yajie Xu
Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences
Email: xiaodong.yang@sibet.ac.cn
China, Suzhou, Jiangsu, 215163
Yan Chang
Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences
Email: xiaodong.yang@sibet.ac.cn
China, Suzhou, Jiangsu, 215163
Xiaodong Yang
Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences
Author for correspondence.
Email: xiaodong.yang@sibet.ac.cn
China, Suzhou, Jiangsu, 215163