Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.
Magn Reson Med. 2020 Feb;83(2):412-426. doi: 10.1002/mrm.27925. Epub 2019 Sep 10.
To perform direct, selective MRI of short-T tissues using zero echo time (ZTE) imaging with weighted echo subtraction (WSUB).
Radial imaging was performed at 7T, acquiring both ZTE and gradient echo (GRE) signals created by bipolar gradients. Long-T suppression was achieved by weighted subtraction of ZTE and GRE images. Special attention was given to imperfections of gradient dynamics, to which radial GRE imaging is particularly susceptible. To compensate for gradient errors, matching of gradient history was combined with data correction based on trajectory measurement. The proposed approach was first validated in phantom experiments and then demonstrated in musculoskeletal (MSK) imaging.
Trajectory analysis and phantom imaging demonstrated that gradient imperfections were successfully addressed. Gradient history matching enabled consistency between antiparallel projections as required for deriving zeroth-order eddy current dynamics. Trajectory measurement provided individual echo times per projection that showed considerable variation between gradient directions. In in vivo imaging of knee, ankle, and tibia, the proposed approach enabled high-resolution 3D depiction of bone, tendons, and ligaments. Distinct contrast of these structures indicates excellent selectivity of long-T suppression. Clarity of depiction also confirmed sufficient SNR of short-T tissues, achieved by high baseline sensitivity at 7T combined with high SNR efficiency of ZTE acquisition.
Weighted subtraction of ZTE and GRE data reconciles robust long-T suppression with fastest k-space coverage and high SNR efficiency. This approach enables high-resolution imaging with excellent selectivity to short-T tissues, which are of major interest in MSK and neuroimaging applications.
使用带加权回波相减(WSUB)的零回波时间(ZTE)成像对短 T 组织进行直接、选择性 MRI。
在 7T 进行放射状成像,采集由双极梯度产生的 ZTE 和梯度回波(GRE)信号。通过 ZTE 和 GRE 图像的加权相减实现长 T 抑制。特别注意梯度动力学的不完美,径向 GRE 成像对此特别敏感。为了补偿梯度误差,采用梯度历史匹配结合基于轨迹测量的数据校正。该方法首先在体模实验中进行验证,然后在肌肉骨骼(MSK)成像中进行演示。
轨迹分析和体模成像表明,梯度不完美得到了成功解决。梯度历史匹配使反平行投影之间的一致性成为可能,这是推导零阶涡流动力学所必需的。轨迹测量为每个投影提供了单独的回波时间,这些时间在梯度方向之间表现出相当大的变化。在膝关节、踝关节和胫骨的体内成像中,所提出的方法能够实现骨骼、肌腱和韧带的高分辨率 3D 描绘。这些结构的明显对比表明长 T 抑制具有优异的选择性。清晰的描绘也证实了短 T 组织具有足够的信噪比,这是通过 7T 联合 ZTE 采集的高基线灵敏度和高 SNR 效率实现的。
ZTE 和 GRE 数据的加权相减实现了稳健的长 T 抑制,同时具有最快的 k 空间覆盖和高 SNR 效率。这种方法能够实现高分辨率成像,对短 T 组织具有优异的选择性,这在 MSK 和神经成像应用中具有重要意义。