Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Magn Reson Med. 2021 Oct;86(4):2011-2024. doi: 10.1002/mrm.28855. Epub 2021 Jun 7.
To address the need for a method to acquire 3D data for MR elastography (MRE) of the whole brain with substantially improved spatial resolution, high SNR, and reduced acquisition time compared with conventional methods.
We combined a novel 3D spiral staircase data-acquisition method with a spoiled gradient-echo pulse sequence and MRE motion-encoding gradients (MEGs). The spiral-out acquisition permitted use of longer-duration motion-encoding gradients (ie, over two full oscillatory cycles) to enhance displacement SNR, while still maintaining a reasonably short TE for good phase-SNR. Through-plane parallel imaging with low noise penalties was implemented to accelerate acquisition along the slice direction. Shared anatomical information was exploited in the deblurring procedure to further boost SNR for stiffness inversion.
In vivo and phantom experiments demonstrated the feasibility of the proposed method in producing brain MRE results comparable to the spin-echo-based approaches, both qualitatively and quantitatively. High-resolution (2-mm isotropic) brain MRE data were acquired in 5 minutes using our method with good SNR. Joint deblurring with shared anatomical information produced SNR-enhanced images, leading to upward stiffness estimation.
A novel 3D gradient-echo-based approach has been designed and implemented, and shown to have promising potential for fast and high-resolution in vivo MRE of the whole brain.
针对需要一种方法来获取整个大脑的磁共振弹性成像(MRE)的 3D 数据,与传统方法相比,该方法具有显著提高的空间分辨率、高 SNR 和缩短采集时间的特点。
我们结合了一种新颖的 3D 螺旋阶梯数据采集方法与失超梯度回波脉冲序列和 MRE 运动编码梯度(MEGs)。螺旋式采集允许使用更长时间的运动编码梯度(即超过两个完整的振荡周期)来提高位移 SNR,同时仍保持合理短的 TE 以获得良好的相位 SNR。通过平面平行成像实现低噪声代价的加速采集,沿切片方向加速采集。在去模糊过程中利用共享解剖信息进一步提高刚度反演的 SNR。
体内和体模实验证明了所提出的方法在产生与基于自旋回波的方法相当的大脑 MRE 结果方面的可行性,无论是定性还是定量方面。使用我们的方法可以在 5 分钟内获得高分辨率(2 毫米各向同性)的大脑 MRE 数据,具有良好的 SNR。联合去模糊处理共享解剖信息可产生 SNR 增强的图像,从而提高刚度估计。
设计并实施了一种新颖的基于梯度回波的 3D 方法,该方法具有在体内快速高分辨率 MRE 整个大脑方面的巨大潜力。