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首页> 外文期刊>Physics in medicine and biology. >Simulations on the influence of myelin water in diffusion-weighted imaging
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Simulations on the influence of myelin water in diffusion-weighted imaging

机译：髓磷脂水对扩散加权成像影响的模拟

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While myelinated axons present an important barrier to water diffusion, many models used to interpret DWI signal neglect other potential influences of myelin. In this work, Monte Carlo simulations were used to test the sensitivity of DWI results to the diffusive properties of water within myelin. Within these simulations, the apparent diffusion coefficient (D-app) varied slowly over several orders of magnitude of the coefficient of myelin water diffusion (D-m), but exhibited important differences compared to D-app values simulated that neglect D-m (= 0). Compared to D-app, the apparent diffusion kurtosis (K-app) was generally more sensitive to D-m. Simulations also tested the sensitivity of D-app and K-app to the amount of myelin present. Unique variations in D-app and K-app caused by differences in the myelin volume fraction were diminished when myelin water diffusion was included. Also, expected trends in Dapp and Kapp with experimental echo time were reduced or inverted when accounting for myelin water diffusion, and these reduced/inverted trends were seen experimentally in ex vivo rat brain DWI experiments. In general, myelin water has the potential to subtly influence DWI results and bias models of DWI that neglect these components of white matter.
机译：尽管髓鞘轴突是水扩散的重要障碍，但许多用于解释DWI信号的模型却忽略了髓鞘的其他潜在影响。在这项工作中，使用蒙特卡洛模拟来测试DWI结果对髓磷脂内水扩散特性的敏感性。在这些模拟中，表观扩散系数（D-app）在髓磷脂水扩散系数（D-m）的几个数量级上变化缓慢，但与忽略D-m（= 0）的模拟D-app值相比表现出重要差异。与D-app相比，表观扩散峰度（K-app）通常对D-m更敏感。模拟还测试了D-app和K-app对髓磷脂含量的敏感性。当包括髓磷脂水扩散时，由髓磷脂体积分数的差异引起的D-app和K-app的独特变化被减小。同样，当考虑髓磷脂水扩散时，Dapp和Kapp的预期趋势随实验回波时间而减少或反转，并且这些减少/反转的趋势在离体大鼠脑DWI实验中通过实验观察到。通常，髓磷脂水可能会潜移默化地影响DWI结果，并偏向DWI模型，而忽略了白质的这些成分。

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