Center for Nano and Micro Mechanics, Department of Engineering Mechanics, Tsinghua University, Beijing, China.
Center for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China.
J Magn Reson. 2024 Oct;367:107760. doi: 10.1016/j.jmr.2024.107760. Epub 2024 Aug 30.
The Kӓrger model and its derivatives have been widely used to incorporate transcytolemmal water exchange rate, an essential characteristic of living cells, into analyses of diffusion MRI (dMRI) signals from tissues. The Kӓrger model consists of two homogeneous exchanging components coupled by an exchange rate constant and assumes measurements are made with sufficiently long diffusion time and slow water exchange. Despite successful applications, it remains unclear whether these assumptions are generally valid for practical dMRI sequences and biological tissues. In particular, barrier-induced restrictions to diffusion produce inhomogeneous magnetization distributions in relatively large-sized compartments such as cancer cells, violating the above assumptions. The effects of this inhomogeneity are usually overlooked. We performed computer simulations to quantify how restriction effects, which in images produce edge enhancements at compartment boundaries, influence different variants of the Kӓrger-model. The results show that the edge enhancement effect will produce larger, time-dependent estimates of exchange rates in e.g., tumors with relatively large cell sizes (>10 μm), resulting in overestimations of water exchange as previously reported. Moreover, stronger diffusion gradients, longer diffusion gradient durations, and larger cell sizes, all cause more pronounced edge enhancement effects. This helps us to better understand the feasibility of the Kärger model in estimating water exchange in different tissue types and provides useful guidance on signal acquisition methods that may mitigate the edge enhancement effect. This work also indicates the need to correct the overestimated transcytolemmal water exchange rates obtained assuming the Kärger-model.
卡格尔模型及其衍生模型已被广泛应用于将跨细胞层水交换率(活细胞的重要特征)纳入组织扩散磁共振成像(dMRI)信号分析中。卡格尔模型由两个通过交换率常数耦合的均匀交换分量组成,并假设测量是在足够长的扩散时间和缓慢的水交换条件下进行的。尽管该模型已经得到了成功的应用,但仍不清楚这些假设在实际的 dMRI 序列和生物组织中是否普遍适用。特别是,扩散受限会导致相对较大的细胞(如癌细胞)中的不均匀磁化分布,从而违反了上述假设。这种不均匀性的影响通常被忽略。我们进行了计算机模拟,以量化限制效应(在图像中会在隔室边界产生边缘增强)如何影响卡格尔模型的不同变体。结果表明,边缘增强效应将在具有相对较大细胞尺寸(>10 μm)的肿瘤等情况下产生更大的、随时间变化的交换率估计值,从而导致如前所述的水交换高估。此外,更强的扩散梯度、更长的扩散梯度持续时间和更大的细胞尺寸都会导致更明显的边缘增强效应。这有助于我们更好地理解卡格尔模型在不同组织类型中估计水交换的可行性,并为可能减轻边缘增强效应的信号采集方法提供有用的指导。这项工作还表明,需要校正假设卡格尔模型得出的过高的跨细胞层水交换率。