Multiple-Input Multiple-Output (MIMO) MRI: Combining Parallel Excitation and Parallel Reception for Enhanced Imaging.
Multiple-Input Multiple-Output (MIMO) MRI: Combining Parallel Excitation and Parallel Reception for Enhanced Imaging.
复制标题
多输入多输出 (MIMO) MRI：结合并行激励和并行接收以增强成像。
DOI：
10.1109/tci.2019.2904882
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发表时间：
2019
影响因子：
5.4
通讯作者：
Love,DavidJ
中科院分区：
文献类型：
--
作者：
Mao,Xianglun;Vike,NicoleL;Talavage,ThomasM;Rispoli,JosephV;Love,DavidJ
磁共振成像（MRI）在可视化人体结构和功能方面起着至关重要的作用。为了加快成像时间和提高成像质量，通常采用射频线圈接收阵列来获取磁共振信号。同样，多个发射线圈已被证明可以加速和改进射频激励。在本文中，我们研究了在考虑发射和接收线圈阵列的情况下，总成像时间和图像精度的优化；我们将这种策略称为多输入-多输出（MIMO） MRI。我们的射频脉冲设计方法是通过最小化激励误差同时最大化重构图像的信噪比来建模的。它进一步允许在两个优化器之间进行关键的权衡。此外，该模型还对多种加速度因素、不同接收线圈数量、最大激励误差容限和不同激励模式进行了仿真和分析。对于给定的激励模式，与传统的并联传输方法相比，我们的方法在某些加速方案下可以将信噪比提高18-130%，同时将激励误差控制在理想范围内（NRMSE≤0.12）。
Magnetic resonance imaging (MRI) plays a critical role in visualizing the structure and functions of the human body. In order to accelerate imaging time and improve the image quality, radio-frequency (RF) coil receive arrays which are commonly employed to acquire the magnetic resonance signal. Similarly, multiple transmit coils have been shown to accelerate and refine the RF excitation. In this paper, we investigate the optimization of the total imaging time and image accuracy when considering both the transmit and receive coil arrays; we term this strategy as multiple-input- multiple-output (MIMO) MRI. Our RF pulse design method is modeled by minimizing the excitation errors while simultaneously maximizing the signal-to-noise ratio (SNR) of the reconstructed MR image. It further allows a key tradeoff between the two optimizers. Additionally, multiple acceleration factors, varying numbers of receive coils used, maximum excitation error tolerance, and different excitation patterns are simulated and analyzed in this model. For a given excitation pattern, our method is shown to improve the SNR by 18-130% under certain acceleration schemes, as compared to conventional parallel transmission methods, while simultaneously controlling the excitation error within a desired scope (NRMSE ≤ 0.12).