Xiao Dan, Balcom Bruce J
MRI Research Center, Department of Physics, University of New Brunswick, 8 Bailey Drive, Fredericton NB E3B 5A3, Canada.
J Magn Reson. 2017 Apr;277:52-58. doi: 10.1016/j.jmr.2017.02.004. Epub 2017 Feb 8.
The π Echo Planar Imaging (PEPI) method has recently been modified to permit proton density imaging of fluids in porous media with moderate T and short T signal components. In many applications, it is desirable to discriminate multiple T components within each image voxel. T selective imaging is explored in this paper through adiabatic inversion as a magnetization preparation with PEPI readout. When prior information of the sample relaxation times is known, responses of different species to broadband adiabatic inversion pulses can be predicted by Bloch equation simulation. Different relaxation components can be acquired by combining the images with and without inversion preparation pulses. T weighting can be easily introduced in the PEPI sequence by shifting the spatial encoding gradients based on its spin echo nature. T decay curves can be extracted for each image voxel from a series of T weighted images and spatially resolved T distributions can be generated. This method is reliable but slow. The two methods were implemented to image porous media samples with PEPI the common basis of spatial resolution. The results of both methods agree remarkably well.
π回波平面成像(PEPI)方法最近已被改进,以允许对具有中等T和短T信号成分的多孔介质中的流体进行质子密度成像。在许多应用中,希望在每个图像体素内区分多个T成分。本文通过绝热反转作为PEPI读出的磁化准备来探索T选择性成像。当样品弛豫时间的先验信息已知时,可以通过布洛赫方程模拟预测不同物种对宽带绝热反转脉冲的响应。通过组合有和没有反转准备脉冲的图像,可以获取不同的弛豫成分。基于其自旋回波性质,通过移动空间编码梯度,可以很容易地在PEPI序列中引入T加权。可以从一系列T加权图像中为每个图像体素提取T衰减曲线,并生成空间分辨的T分布。该方法可靠但速度慢。这两种方法都用于对具有空间分辨率共同基础的PEPI多孔介质样品进行成像。两种方法的结果非常吻合。