Sun Phillip Zhe
Yerkes Imaging Center, Yerkes National Primate Research Center, Emory University, Atlanta, Georgia, USA.
Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA.
Magn Reson Med. 2021 Jun;85(6):3281-3289. doi: 10.1002/mrm.28653. Epub 2021 Jan 23.
CEST provides a MR contrast mechanism sensitizing to the exchange between dilute labile and bulk water protons. However, the CEST effect depends on the RF saturation duration and relaxation delay, which need to be long to reach its steady state. Our study aims to estimate the QUAsi-Steady State (QUASS) CEST signal from experiments with shorter saturation and relaxation delay times.
The evolution of the CEST signal was modeled as a function of the bulk water longitudinal relaxation rate during the relaxation delay (Td) and spin-lock relaxation rate during the RF saturation (Ts), from which the QUASS CEST effect is solved. Numeric simulations were programmed to compare the apparent CEST and QUASS CEST effects as a function of Ts and Td times. We also performed CEST MRI experiments from a creatine-gel pH phantom under serially varied Ts and Td times.
The numeric simulation showed that although the apparent CEST effect depends on Td and Ts, the QUASS CEST solution has little dependence. Phantom results showed that the routine CEST pH contrast could be described by a nonlinear regression model (ie, ). We had = (P < 5e-8) and (P < 5e-6). For the QUASS CEST analysis, we modeled the pH contrast as , using a linear regression model. We had (P < 5e-9) and (P < 0.01), the slope of which is minimal.
The QUASS CEST algorithm provides a post-processing solution that facilitates robust CEST measurement.
化学交换饱和转移(CEST)提供了一种磁共振对比机制,可对稀溶液中不稳定质子与大量水质子之间的交换产生敏感反应。然而,CEST效应取决于射频饱和持续时间和弛豫延迟,而这两者都需要较长时间才能达到稳态。我们的研究旨在通过饱和和弛豫延迟时间较短的实验来估计准稳态(QUASS)CEST信号。
将CEST信号的演变建模为弛豫延迟(Td)期间大量水纵向弛豫率和射频饱和(Ts)期间自旋锁定弛豫率的函数,由此求解QUASS CEST效应。编写数值模拟程序以比较表观CEST和QUASS CEST效应与Ts和Td时间的函数关系。我们还在Ts和Td时间连续变化的情况下,对肌酸凝胶pH模型进行了CEST磁共振成像实验。
数值模拟表明,尽管表观CEST效应取决于Td和Ts,但QUASS CEST解几乎与之无关。模型结果表明,常规CEST pH对比可以用非线性回归模型(即 )来描述。我们得到 = (P < 5e - 8)和 (P < 5e - 6)。对于QUASS CEST分析,我们使用线性回归模型将pH对比建模为 。我们得到 (P < 5e - 9)和 (P < 0.01),其斜率最小。
QUASS CEST算法提供了一种后处理解决方案,有助于进行稳健的CEST测量。