Multipathway multi-echo (MPME) imaging: all main MR parameters mapped based on a single 3D scan.
Multipathway multi-echo (MPME) imaging: all main MR parameters mapped based on a single 3D scan.
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DOI：
10.1002/mrm.27525
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发表时间：
2019-03
影响因子：
3.3
通讯作者：
Madore B
中科院分区：
文献类型：
--
作者：
Cheng CC;Preiswerk F;Hoge WS;Kuo TH;Madore B
与定性灰度图像相反，定量参数图可能代表诊断MRI的未来。这里介绍了一种新的定量MRI方法，该方法需要单次3D采集，允许在相对较短的扫描时间内实现良好的空间覆盖。开发了多通道多回波（MPME）序列，至少需要三个通道和两个回波时间来生成T1、T2、T2*、B1+和B 0图。该方法需要对中心k空间区域进行两次采样，使用相同的序列，但使用两个非常不同的标称翻转角设置。因此，扫描时间仅比单次扫描稍长。MPME数据被重建成参数图，幻影以及大脑收购，在5名健康志愿者在3 T。空间分辨率为1.2×1.0× 1.2mm ~ 3，矩阵尺寸为160×192×160，全脑视野为19.2 × 19.2 × 19.2cm ~ 3，采集时间为11.5min。根据梯度回波和自旋回波数据计算的T1、T2和T2* 图进行验证。在Bland-Altman图中，体内和体模中T1和T2结果的偏倚和一致性限值分别为：−2.9/±125.5ms（体内T1）、−4.8/±20.8ms（体内T2）、−1.5/±18.1ms（体模中T1）和−5.3/±7.4ms（体模中T2），ROI包括给定的脑结构或体模隔室。由于相对高的噪声水平，该方法的当前实现可能证明对于基于ROI的解释比基于像素的解释更有用。我们提出了一种新的方法来定量映射MR参数的MPME采集的基础上。
Quantitative parameter maps, as opposed to qualitative grayscale images, may represent the future of diagnostic MRI. A new quantitative MRI method is introduced here that requires a single 3D acquisition, allowing good spatial coverage to be achieved in relatively short scan times. A multi-pathway multi-echo (MPME) sequence was developed, and at least three pathways with two echo times were needed to generate T1, T2, T2*, B1+ and B0 maps. The method required the central k-space region to be sampled twice, with the same sequence but with two very different nominal flip angle settings. Consequently, scan time was only slightly longer than that of a single scan. MPME data were reconstructed into parameter maps, for phantom as well as brain acquisitions, in five healthy volunteers at 3T. Spatial resolution, matrix size and FOV were 1.2×1.0×1.2mm3, 160×192×160 and 19.2×19.2×19.2cm3 (whole brain), acquired in 11.5 min with minimal acceleration. Validation was performed against T1, T2 and T2* maps calculated from gradient-echo and spin-echo data. In Bland-Altman plots, bias and limits of agreement for T1 and T2 results in vivo and in phantom were: −2.9/±125.5ms (T1 in vivo), −4.8/±20.8ms (T2 in vivo), −1.5/±18.1ms (T1 in phantom), and −5.3/±7.4ms (T2 in phantom), for ROIs including given brain structures or phantom compartments. Due to relatively-high noise levels, the current implementation of the approach may prove more useful for ROI-based as opposed to pixel-based interpretation. We proposed a novel approach to quantitatively map MR parameters based on an MPME acquisition.
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3.3
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