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Separating Blood and Water: Perfusion and Free Water Elimination from Diffusion MRI in the Human Brain

机译:分离血液和水:人脑中弥散MRI的灌注和游离水消除

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摘要

The assessment of the free water fraction in the brain provides important information about extracellular processes such as atrophy and neuroinflammation in various clinical conditions as well as in normal development and aging. Free water estimates from diffusion MRI are assumed to account for freely diffusing water molecules in the extracellular space, but may be biased by other pools of molecules in rapid random motion, such as the intravoxel incoherent motion (IVIM) of blood, where water molecules perfuse in the randomly oriented capillary network. The goal of this work was to separate the signal contribution of the perfusing blood from that of free-water and of other brain diffusivities. The influence of the vascular compartment on the estimation of the free water fraction and other diffusivities was investigated by simulating perfusion in diffusion MRI data. The perfusion effect in the simulations was significant, especially for the estimation of the free water fraction, and was maintained as long as low b-value data were included in the analysis. Two approaches to reduce the perfusion effect were explored in this study: (i) increasing the minimal b-value used in the fitting, and (ii) using a three-compartment model that explicitly accounts for water molecules in the capillary blood. Estimation of the model parameters while excluding low b-values reduced the perfusion effect but was highly sensitive to noise. The three-compartment model fit was more stable and additionally, provided an estimation of the volume fraction of the capillary blood compartment. The three-compartment model thus disentangles the effects of free water diffusion and perfusion, which is of major clinical importance since changes in these components in the brain may indicate different pathologies, i.e., those originating from the extracellular space, such as neuroinflammation and atrophy, and those related to the vascular space, such as vasodilation, vasoconstriction and capillary density. Diffusion MRI data acquired from a healthy volunteer, using multiple b-shells, demonstrated an expected non-zero contribution from the blood fraction, and indicated that not accounting for the perfusion effect may explain the overestimation of the free water fraction evinced in previous studies. Finally, the applicability of the method was demonstrated with a dataset acquired using a clinically feasible protocol with shorter acquisition time and fewer b-shells.
机译:对大脑中游离水部分的评估提供了有关细胞外过程的重要信息,例如各种临床情况以及正常发育和衰老中的萎缩和神经炎症。假定通过扩散MRI估算的自由水可解释细胞外空间中水分子的自由扩散,但可能会因快速随机运动的其他分子池(例如血液中的体素不相干运动(IVIM))而有偏差,其中水分子会灌注在随机定向的毛细管网络中。这项工作的目的是将灌注血液的信号贡献与自由水和其他脑扩散的信号贡献分开。通过模拟弥散MRI数据中的灌注,研究了血管腔室对游离水含量和其他弥散度估计的影响。在模拟中,灌注效果非常显着,尤其是对于自由水分数的估计而言,只要分析中包含低b值数据,就可以保持灌注效果。在这项研究中,探索了两种降低灌注效果的方法:(i)增加拟合中使用的最小b值,以及(ii)使用三室模型,该模型明确考虑了毛细血管血液中的水分子。排除低b值时,模型参数的估计会减少灌注效果,但对噪声高度敏感。三室模型拟合更加稳定,并且提供了毛细血管室体积分数的估计值。因此,三室模型可以消除自由水扩散和灌注的影响,这在临床上具有重要意义,因为大脑中这些成分的变化可能表明存在不同的病理,即源自细胞外空间的病理,例如神经炎症和萎缩,以及那些与血管空间有关的因素,例如血管舒张,血管收缩和毛细血管密度。使用多个b壳从健康志愿者那里获得的扩散MRI数据表明,血液分数具有预期的非零贡献,并且表明未考虑灌注效应可能解释了先前研究中高估的游离水分数。最后,该方法的适用性通过使用临床可行方案获得的数据集得到了证明,该数据集具有较短的采集时间和较少的b-shell。

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