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血氧水平依赖对比机制的定量现象学模型。

Quantitative phenomenological model of the BOLD contrast mechanism.

机构信息

Department of Physics, Cavendish Laboratory, Cambridge University, Cambridge, UK.

出版信息

J Magn Reson. 2011 Sep;212(1):17-25. doi: 10.1016/j.jmr.2011.06.003. Epub 2011 Jun 13.

Abstract

Different theoretical models of the BOLD contrast mechanism are used for many applications including BOLD quantification (qBOLD) and vessel size imaging, both in health and disease. Each model simplifies the system under consideration, making approximations about the structure of the blood vessel network and diffusion of water molecules through inhomogeneities in the magnetic field created by deoxyhemoglobin-containing blood vessels. In this study, Monte-Carlo methods are used to simulate the BOLD MR signal generated by diffusing water molecules in the presence of long, cylindrical blood vessels. Using these simulations we introduce a new, phenomenological model that is far more accurate over a range of blood oxygenation levels and blood vessel radii than existing models. This model could be used to extract physiological parameters of the blood vessel network from experimental data in BOLD-based experiments. We use our model to establish ranges of validity for the existing analytical models of Yablonskiy and Haacke, Kiselev and Posse, Sukstanskii and Yablonskiy (extended to the case of arbitrary time in the spin echo sequence) and Bauer et al. (extended to the case of randomly oriented cylinders). Although these models are shown to be accurate in the limits of diffusion under which they were derived, none of them is accurate for the whole physiological range of blood vessels radii and blood oxygenation levels. We also show the extent of systematic errors that are introduced due to the approximations of these models when used for BOLD signal quantification.

摘要

不同的 BOLD 对比机制理论模型被用于许多应用,包括 BOLD 定量(qBOLD)和血管大小成像,无论是在健康还是疾病中。每个模型都简化了所考虑的系统,对血管网络的结构和水分子在脱氧血红蛋白含血管产生的磁场不均匀处的扩散做出了近似。在这项研究中,蒙特卡罗方法被用于模拟扩散水分子在长圆柱形血管存在下产生的 BOLD MR 信号。使用这些模拟,我们引入了一个新的、更准确的现象学模型,该模型在一系列血氧水平和血管半径下比现有模型更准确。该模型可用于从基于 BOLD 的实验中的实验数据中提取血管网络的生理参数。我们使用我们的模型来确定 Yablonskiy 和 Haacke、Kiselev 和 Posse、Sukstanskii 和 Yablonskiy(扩展到自旋回波序列中的任意时间)以及 Bauer 等人的现有分析模型的有效性范围。虽然这些模型在推导它们的扩散限制内被证明是准确的,但它们都不适用于整个血管半径和血氧水平的生理范围。我们还展示了由于这些模型的近似而在用于 BOLD 信号定量时引入的系统误差的程度。

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