受限几何中脉冲梯度核磁共振信号计算的记忆函数技术

Daniel Sheltraw, V.M. Kenkre
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引用次数: 19

摘要

介绍了一种基于记忆函数形式的计算脉冲梯度核磁共振信号的近似技术,并与众所周知的累积展开技术进行了比较。在时域无关的场梯度和由两个脉冲组成的有限持续时间的场梯度情况下,研究了该技术的有效性。我们发现,有效性由两个特征时间的比值决定:自旋通过扩散穿越限定空间维度的时间和自旋进动频率极值差的倒数。对于恒定梯度信号的时间演化振荡,以及双脉冲梯度信号的(梯度)场依赖振荡,都是精确信号的特征,新技术可以预测,而累积量技术不能预测。累积结果显示为内存结果的近似结果。
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The Memory-Function Technique for the Calculation of Pulsed-Gradient NMR Signals in Confined Geometries

An approximation technique for the calculation of pulsed-gradient NMR signals in confined spaces is introduced on the basis of a memory-function formalism and compared to the well-known cumulant expansion technique. The validity of the technique is investigated for the cases of a time-independent field gradient and a gradient consisting of two pulses of finite duration. It is found that the validity is governed by the ratio of two characteristic times: the time for the spins to traverse the dimensions of the confining space through diffusion and the reciprocal of the extreme difference between values of the precession frequency of the spin. Oscillations in the time evolution of the signal for the constant gradient, as well as oscillations in the (gradient) field dependence for the two-pulse gradient, which are both characteristic of the exact signals, are predicted by the new technique but not by the cumulant technique. The cumulant results are shown to arise as an approximate consequence of the memory results.

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