Design and Demonstration of Four-Channel Received Coil Arrays for Vertical-Field MRI


Citar

Texto integral

Acesso aberto Acesso aberto
Acesso é fechado Acesso está concedido
Acesso é fechado Somente assinantes

Resumo

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.

Sobre autores

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
República Popular da 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
República Popular da China, Suzhou, Jiangsu, 215163

Yan Chang

Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences

Email: xiaodong.yang@sibet.ac.cn
República Popular da China, Suzhou, Jiangsu, 215163

Xiaodong Yang

Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences

Autor responsável pela correspondência
Email: xiaodong.yang@sibet.ac.cn
República Popular da China, Suzhou, Jiangsu, 215163


Declaração de direitos autorais © Springer-Verlag Wien, 2017

Este site utiliza cookies

Ao continuar usando nosso site, você concorda com o procedimento de cookies que mantêm o site funcionando normalmente.

Informação sobre cookies