Diffusion-PEPTIDE: Distortion- and blurring-free diffusion imaging with self-navigated motion-correction and relaxometry capabilities
Diffusion-PEPTIDE: Distortion- and blurring-free diffusion imaging with self-navigated motion-correction and relaxometry capabilities
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DOI：
10.1002/mrm.28579
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发表时间：
2020-12-12
影响因子：
3.3
通讯作者：
Setsompop, Kawin
中科院分区：
文献类型：
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作者：
Fair, Merlin J.;Liao, Congyu;Setsompop, Kawin
目的：将时间分辨弛豫PEPTIDE技术应用于扩散采集，以提供自导航、无失真和模糊的扩散成像，对运动具有鲁棒性，同时提供T-2和T-2* 标测。理论和方法：将PEPTIDE读出实施到自旋回波扩散采集中，使得能够重建T-2和T-2* 加权图像的时间序列，对于每个扩散编码，没有常规回波平面成像（EPI）失真和模糊。通过故意的运动破坏扩散实验检查肽对运动和发射间相位变化的稳健性。还检查了两种体内脑扩散弛豫法方案：（1）20分钟内32个扩散方向上的1 x 1 x 3 mm（3），（2）3.4分钟内6个扩散加权图像上的1.5 x 1.5 x 3.0 mm（3）。T-2，T-2*，并根据这些数据计算扩散参数图。作为用于多室建模的丰富扩散弛豫数据内容的初步探索，从掺钆芦笋体模中获取PEPTIDE数据。这些数据集包含两个不同的弛豫参数和不同的扩散方向属性的车厢，和T-2弛豫变化在这些扩散directions.Results：扩散肽显示了能力，提供高质量的扩散图像和T-2和T-2* 地图从两个协议。重建无失真，避免了等效EPI采集中超过100%的潜在分辨率损失，并显示出对近30度旋转运动的耐受性。在T-2值作为扩散方向的函数的预期变化中观察到的两室芦笋幻影（P < .01），表现出潜在的探索多室modeling.Conclusions扩散PEPTIDE数据：扩散PEPTIDE提供了非常强大的扩散和弛豫数据，并提供了在扩散弛豫多室modeling未来的应用潜力。
Purpose: To implement the time-resolved relaxometry PEPTIDE technique into a diffusion acquisition to provide self-navigated, distortion- and blurring-free diffusion imaging that is robust to motion, while simultaneously providing T-2 and T-2* mapping.Theory and Methods: The PEPTIDE readout was implemented into a spin-echo diffusion acquisition, enabling reconstruction of a time-series of T-2- and T-2*-weighted images, free from conventional echo planar imaging (EPI) distortion and blurring, for each diffusion-encoding. Robustness of PEPTIDE to motion and shot-to-shot phase variation was examined through a deliberate motion-corrupted diffusion experiment. Two diffusion-relaxometry in vivo brain protocols were also examined: (1)1 x 1 x 3 mm(3) across 32 diffusion directions in 20 min, (2)1.5 x 1.5 x 3.0 mm(3) across 6 diffusion-weighted images in 3.4 min. T-2, T-2*, and diffusion parameter maps were calculated from these data. As initial exploration of the rich diffusion-relaxometry data content for use in multi-compartment modeling, PEPTIDE data were acquired of a gadolinium-doped asparagus phantom. These datasets contained two compartments with different relaxation parameters and different diffusion orientation properties, and T-2 relaxation variations across these diffusion directions were explored.Results: Diffusion-PEPTIDE showed the capability to provide high quality diffusion images and T-2 and T-2* maps from both protocols. The reconstructions were distortion-free, avoided potential resolution losses exceeding 100% in equivalent EPI acquisitions, and showed tolerance to nearly 30 degrees of rotational motion. Expected variation in T-2 values as a function of diffusion direction was observed in the two-compartment asparagus phantom (P < .01), demonstrating potential to explore diffusion-PEPTIDE data for multi-compartment modeling.Conclusions: Diffusion-PEPTIDE provides highly robust diffusion and relaxometry data and offers potential for future applications in diffusion-relaxometry multi-compartment modeling.