Cai Teddy X, Williamson Nathan H, Ravin Rea, Basser Peter J
Section on Quantitative Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA.
Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Front Phys. 2022;10. doi: 10.3389/fphy.2022.805793. Epub 2022 Mar 23.
Diffusion exchange spectroscopy (DEXSY) is a multidimensional NMR technique that can reveal how water molecules exchange between compartments within heterogeneous media, such as biological tissue. Data from DEXSY experiments is typically processed using numerical inverse Laplace transforms (ILTs) to produce a diffusion-diffusion spectrum. A tacit assumption of this ILT approach is that the signal behavior is Gaussian - i.e., the spin echo intensity decays exponentially with the degree of diffusion weighting. The assumptions that underlie Gaussian signal behavior may be violated, however, depending on the gradient strength applied and the sample under study. We argue that non-Gaussian signal behavior due to restrictions is to be expected in the study of biological tissue using diffusion NMR. Further, we argue that this signal behavior can produce confounding features in the diffusion-diffusion spectra obtained from numerical ILTs of DEXSY data - entangling the effects of restriction and exchange. Specifically, restricted signal behavior can result in broadening of peaks and in the appearance of illusory exchanging compartments with distributed diffusivities, which pearl into multiple peaks if not highly regularized. We demonstrate these effects on simulated data. That said, we suggest the use of features in the signal acquisition domain that can be used to rapidly probe exchange without employing an ILT. We also propose a means to characterize the non-Gaussian signal behavior due to restrictions within a sample using DEXSY measurements with a near zero mixing time or storage interval. We propose a combined acquisition scheme to independently characterize restriction and exchange with various DEXSY measurements, which we term Restriction and Exchange from Equally-weighted Double and Single Diffusion Encodings (REEDS-DE). We test this method on neonatal mouse spinal cord - a sample consisting primarily of gray matter - using a low-field, static gradient NMR system. In sum, we highlight critical shortcomings of prevailing DEXSY analysis methods that conflate the effects of restriction and exchange, and suggest a viable experimental approach to disentangle them.
扩散交换光谱法(DEXSY)是一种多维核磁共振技术,它能够揭示水分子如何在异质介质(如生物组织)的不同区域之间进行交换。DEXSY实验的数据通常使用数值逆拉普拉斯变换(ILT)进行处理,以生成扩散-扩散光谱。这种ILT方法隐含的一个假设是信号行为呈高斯分布——即自旋回波强度随扩散加权程度呈指数衰减。然而,根据所施加的梯度强度和所研究的样品,高斯信号行为所依据的假设可能会被违反。我们认为,在使用扩散核磁共振研究生物组织时,由于限制导致的非高斯信号行为是可以预期的。此外,我们认为这种信号行为会在从DEXSY数据的数值ILT获得的扩散-扩散光谱中产生混淆特征——使限制和交换的影响相互纠缠。具体而言,受限信号行为会导致峰变宽,并出现具有分布扩散系数的虚幻交换区域,如果不进行高度正则化,这些区域会分裂成多个峰。我们在模拟数据上展示了这些效应。也就是说,我们建议使用信号采集域中的特征,这些特征可用于在不采用ILT的情况下快速探测交换。我们还提出了一种方法,使用混合时间或存储间隔接近零的DEXSY测量来表征样品中由于限制导致的非高斯信号行为。我们提出了一种组合采集方案,通过各种DEXSY测量来独立表征限制和交换,我们将其称为等权重双扩散和单扩散编码的限制与交换(REEDS-DE)。我们使用低场静态梯度核磁共振系统在新生小鼠脊髓(主要由灰质组成的样品)上测试了这种方法。总之,我们强调了现行DEXSY分析方法将限制和交换的影响混为一谈的关键缺点,并提出了一种可行的实验方法来区分它们。