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诱导敏感性的内部梯度揭示了轴突形态,并在扩散加权 MRI 信号中产生各向异性效应。

Susceptibility-induced internal gradients reveal axon morphology and cause anisotropic effects in the diffusion-weighted MRI signal.

机构信息

Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.

Danish Research Centre for Magnetic Resonance, Department of Radiology and Nuclear Medicine, Copenhagen University Hospital - Amager and Hvidovre, 2650, Copenhagen, Denmark.

出版信息

Sci Rep. 2024 Nov 28;14(1):29636. doi: 10.1038/s41598-024-79043-5.

Abstract

Diffusion-weighted MRI is our most promising method for estimating microscopic tissue morphology in vivo. The signal acquisition is based on scanner-generated external magnetic gradients. However, it will also be affected by susceptibility-induced internal magnetic gradients caused by interactions between the tissue and the static magnetic field of the scanner. With 3D in silico experiments, we show how internal gradients cause morphology-, compartment-, and orientation-dependence of spin-echo and pulsed-gradient spin-echo experiments in myelinated axons. These effects surpass those observed with previous 2D modelling corresponding to straight cylinders. For an ex vivo monkey brain, we observe the orientation-dependence generated only when including non-circular cross-sections in the in silico morphological configurations, and find orientation-dependent deviation of up to 17% for diffusion tensor metrics. Interestingly, we find that the orientation-dependence not only biases the signal across different brain regions, but also carries a sensitivity to the morphology of axonal cross-sections which is not attainable by the idealised theoretical diffusion-weighted MRI signal.

摘要

扩散加权磁共振成像是我们最有前途的方法,用于估计体内微观组织形态。信号采集基于扫描仪产生的外部磁场梯度。然而,它也会受到组织与扫描仪静磁场相互作用引起的磁化率诱导的内部磁场梯度的影响。通过 3D 计算机模拟实验,我们展示了内部梯度如何导致有髓轴突中的自旋回波和脉冲梯度自旋回波实验的形态、隔室和方向依赖性。这些影响超过了以前对应于直圆柱的二维建模所观察到的影响。对于猴脑的离体样本,我们仅在计算机形态结构中包含非圆形横截面时观察到方向依赖性,并且发现扩散张量测量值的方向依赖性偏差高达 17%。有趣的是,我们发现这种方向依赖性不仅会使不同脑区的信号产生偏差,而且还会对轴突横截面的形态产生敏感性,这是理想化理论扩散加权磁共振成像信号无法实现的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f966/11605075/051bdd6e5272/41598_2024_79043_Fig1_HTML.jpg

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