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利用扩散磁共振成像预测白质中的介观拉莫尔频率偏移——轴突模型的蒙特卡罗研究

Predicting Mesoscopic Larmor Frequency Shifts in White Matter With Diffusion MRI-A Monte Carlo Study in Axonal Phantoms.

作者信息

Sandgaard Anders Dyhr, Jespersen Sune Nørhøj

机构信息

Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.

Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark.

出版信息

NMR Biomed. 2025 Mar;38(3):e70004. doi: 10.1002/nbm.70004.

Abstract

Magnetic susceptibility MRI offers potential insights into the chemical composition and microstructural organization of tissue. However, estimating magnetic susceptibility in white matter is challenging due to anisotropic subvoxel Larmor frequency shifts caused by axonal microstructure relative to the B0 field orientation. Recent biophysical models have analytically described how axonal microstructure influences the Larmor frequency shifts, relating these shifts to a mesoscopically averaged magnetic field that depends on the axons' fiber orientation distribution function (fODF), typically estimated using diffusion MRI. This study is aimed at validating the use of MRI to estimate mesoscopic magnetic fields and determining whether diffusion MRI can faithfully estimate the orientation dependence of the Larmor frequency shift in realistic axonal microstructure. To achieve this, we developed a framework for performing Monte Carlo simulations of MRI signals in mesoscopically sized white matter axon substrates segmented with electron microscopy. Our simulations demonstrated that with careful experimental design, it is feasible to estimate mesoscopic magnetic fields. Additionally, the fODF estimated by the standard model of diffusion in white matter could predict the orientation dependence of the mesoscopic Larmor frequency shift. We also found that incorporating the intra-axonal axial kurtosis into the standard model could explain a significant amount of signal variance, thereby improving the estimation of the Larmor frequency shift. This factor should not be neglected when fitting the standard model.

摘要

磁共振成像(MRI)的磁化率可为组织的化学成分和微观结构组织提供潜在的见解。然而,由于轴突微观结构相对于B0场方向引起的各向异性亚体素拉莫尔频率偏移,估计白质中的磁化率具有挑战性。最近的生物物理模型已经分析性地描述了轴突微观结构如何影响拉莫尔频率偏移,将这些偏移与一个依赖于轴突纤维方向分布函数(fODF)的介观平均磁场联系起来,该函数通常使用扩散MRI进行估计。本研究旨在验证使用MRI估计介观磁场的可行性,并确定扩散MRI是否能够如实地估计实际轴突微观结构中拉莫尔频率偏移的方向依赖性。为了实现这一目标,我们开发了一个框架,用于对通过电子显微镜分割的介观尺寸白质轴突基质中的MRI信号进行蒙特卡罗模拟。我们的模拟表明,通过精心的实验设计,估计介观磁场是可行的。此外,由白质扩散标准模型估计的fODF可以预测介观拉莫尔频率偏移的方向依赖性。我们还发现,将轴突内轴向峰度纳入标准模型可以解释大量的信号方差,从而改善拉莫尔频率偏移的估计。在拟合标准模型时,不应忽略这一因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/414c/11813543/ce77803c8fd4/NBM-38-e70004-g005.jpg

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