磁共振成像
干扰(通信)
无线
射频线圈
信噪比(成像)
无线电频率
电磁线圈
材料科学
计算机科学
电磁干扰
信号(编程语言)
共振(粒子物理)
噪音(视频)
质量(理念)
领域(数学)
电磁场
图像质量
声学
物理
频道(广播)
电信
人工智能
图像(数学)
量子力学
数学
程序设计语言
纯数学
放射科
粒子物理学
医学
作者
Zhonghai Chi,Yi Yi,Yakui Wang,Maopeng Wu,Lixue Wang,Xihai Zhao,Yonggang Meng,Zhuozhao Zheng,Qian Zhao,Ji Zhou
标识
DOI:10.1002/adma.202102469
摘要
The signal-to-noise ratio (SNR) is one of the most important criteria for evaluating the image quality in magnetic resonance imaging (MRI), and metasurfaces with unique electromagnetic properties provide a novel method for SNR improvement. However, their applications in clinical MRI are highly restricted by the inhomogeneous enhancement of the magnetic field and interference in the radio frequency (RF) transmitting field. In this study, an adaptive cylindrical wireless metasurface (ACWM) with homogeneous field enhancement and adaptive resonant modes is reported. The ACWM automatically switches its resonant modes between the partial (transmitting period) and whole (receiving period) resonance, which enables it to not only eliminate the interference in RF transmitting field, but also greatly enhance the SNR. Its adaptability also makes the ACWM applicable to all common clinical sequences without any modifications in the scan parameters. The SNR of MRI images of the human wrist, acquired with ACWM, is two to four times compared with the conventional coil. This work offers a practical control method to fill the scientific knowledge gaps between the preclinical research and medical applications for metasurfaces, and suggests a novel and powerful tool for diagnosing and evaluating human diseases.
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