BioMedical Engineering and Imaging Institute and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
Med Phys. 2023 Dec;50(12):7606-7618. doi: 10.1002/mp.16801. Epub 2023 Oct 24.
The main advantage of ultra-high field (UHF) magnetic resonance neuroimaging is theincreased signal-to-noise ratio (SNR) compared with lower field strength imaging. However, the wavelength effect associated with UHF MRI results in radiofrequency (RF) inhomogeneity, compromising whole brain coverage for many commercial coils. Approaches to resolving this issue of transmit field inhomogeneity include the design of parallel transmit systems (PTx), RF pulse design, and applying passive RF shimming such as high dielectric materials. However, these methods have some drawbacks such as unstable material parameters of dielectric pads, high-cost, and complexity of PTx systems. Metasurfaces are artificial structures with a unique platform that can control the propagation of the electromagnetic (EM) waves, and they are very promising for engineering EM device. Implementation of meta-arrays enhancing MRI has been explored previously in several studies.
The aim of this study was to assess the effect of new meta-array technology on enhancing the brain MRI at 7T. A meta-array based on a hybrid structure consisting of an array of broadside-coupled split-ring resonators and high-permittivity materials was designed to work at the Larmor frequency of a 7 Tesla (7T) MRI scanner. When placed behind the head and neck, this construct improves the SNR in the region of the cerebellum,brainstem and the inferior aspect of the temporal lobes.
Numerical electromagnetic simulations were performed to optimize the meta-array design parameters and determine the RF circuit configuration. The resultant transmit-efficiency and signal sensitivity improvements were experimentally analyzed in phantoms followed by healthy volunteers using a 7T whole-body MRI scanner equipped with a standard one-channel transmit, 32-channel receive head coil. Efficacy was evaluated through acquisition with and without the meta-array using two basic sequences: gradient-recalled-echo (GRE) and turbo-spin-echo (TSE).
Experimental phantom analysis confirmed two-fold improvement in the transmit efficiency and 1.4-fold improvement in the signal sensitivity in the target region. In vivo GRE and TSE images with the meta-array in place showed enhanced visualization in inferior regions of the brain, especially of the cerebellum, brainstem, and cervical spinal cord.
Addition of the meta-array to commonly used MRI coils can enhance SNR to extend the anatomical coverage of the coil and improve overall MRI coil performance. This enhancement in SNR can be leveraged to obtain a higher resolution image over the same time slot or faster acquisition can be achieved with same resolution. Using this technique could improve the performance of existing commercial coils at 7T for whole brain and other applications.
与较低场强成像相比,超高场(UHF)磁共振神经成像的主要优势在于其具有更高的信噪比(SNR)。然而,与 UHF MRI 相关的波长效应会导致射频(RF)不均匀性,从而影响许多商业线圈的整个大脑覆盖范围。解决这种发射场不均匀性问题的方法包括设计并行发射系统(PTx)、RF 脉冲设计以及应用无源 RF 调谐,如高介电材料。然而,这些方法存在一些缺点,例如介电垫的材料参数不稳定、成本高以及 PTx 系统的复杂性。超表面是一种具有独特平台的人工结构,可控制电磁波(EM)的传播,它们在工程 EM 设备方面具有广阔的应用前景。在之前的多项研究中已经探索了基于超表面的 MRI 增强技术。
本研究旨在评估新型超表面技术在增强 7T 脑 MRI 中的效果。设计了一种基于宽边耦合环形谐振器阵列和高介电常数材料的混合结构的超表面,用于在 7 特斯拉(7T)磁共振扫描仪的拉莫尔频率下工作。当放置在头颈部后面时,该结构可提高小脑、脑干和颞叶下部区域的 SNR。
进行了数值电磁仿真以优化超表面设计参数并确定 RF 电路配置。使用配备标准单通道发射、32 通道接收头部线圈的 7T 全身 MRI 扫描仪,在体模和健康志愿者中进行了随后的实验分析,以评估传输效率和信号灵敏度的提高。使用两种基本序列:梯度回波(GRE)和涡轮自旋回波(TSE),通过有无超表面的采集来评估功效。
实验体模分析证实,在目标区域,传输效率提高了两倍,信号灵敏度提高了 1.4 倍。在有和没有超表面的情况下,GRE 和 TSE 图像在体内显示出对大脑下部区域的增强可视化,尤其是小脑、脑干和颈脊髓。
在常用的 MRI 线圈中添加超表面可以提高 SNR,从而扩展线圈的解剖覆盖范围并提高整体 MRI 线圈性能。这种 SNR 的提高可以用于在相同时隙内获得更高分辨率的图像,或者以相同分辨率实现更快的采集。该技术可提高现有商业线圈在 7T 下的性能,用于全脑和其他应用。