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团注追踪动脉自旋标记:理论与实验结果

Bolus-tracking arterial spin labelling: theoretical and experimental results.

作者信息

Kelly M E, Blau C W, Kerskens C M

机构信息

Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.

出版信息

Phys Med Biol. 2009 Mar 7;54(5):1235-51. doi: 10.1088/0031-9155/54/5/009. Epub 2009 Jan 30.

Abstract

Arterial spin labelling (ASL) is a magnetic resonance imaging (MRI) technique that can be used to provide a quantitative assessment of cerebral perfusion. Despite the development of a number of theoretical models to facilitate quantitative ASL, some key challenges still remain. The purpose of this study is to develop a novel quantitative ASL method based on a macroscopic model that reduces the number of variables required to describe the physiological processes involved. To this end, a novel Fokker-Planck equation consisting of stochastically varying macroscopic variables was derived from a general Langevin equation. ASL data from the rat brain was acquired using a bolus-tracking ASL protocol where a bolus of labelled spins flowing from an inversion plane in the neck into an imaging plane in the brain can be observed. Bolus durations of 1.5 s, 2.0 s and 3.0 s were used and the solution to the Fokker-Planck equation for the boundary conditions of bolus-tracking ASL was fitted to the experimental data using a least-squares fit. The mean transit time (MTT) and capillary transit time (CTT) were calculated from the first and second moments of the resultant curve respectively and the arterial transit time (ATT) was calculated by subtracting the CTT from the MTT. The average MTT, CTT and ATT values were 1.75 +/- 0.22 s, 1.43 +/- 0.12 s and 0.32 +/- 0.04 s respectively. In conclusion, a new ASL protocol has been developed by combining the theoretical model with ASL experiments. The technique has the unique ability to provide solutions for varying bolus volumes and the generality of the new model is demonstrated by the derivation of additional solutions for the continuous and pulsed ASL (CASL and PASL) techniques.

摘要

动脉自旋标记(ASL)是一种磁共振成像(MRI)技术,可用于对脑灌注进行定量评估。尽管已经开发了许多理论模型以促进定量ASL,但一些关键挑战仍然存在。本研究的目的是基于宏观模型开发一种新颖的定量ASL方法,该模型减少了描述所涉及生理过程所需的变量数量。为此,从一般的朗之万方程推导出了一个由随机变化的宏观变量组成的新颖的福克 - 普朗克方程。使用团注追踪ASL方案获取大鼠脑的ASL数据,在该方案中可以观察到一团标记自旋从颈部的反转平面流入脑内的成像平面。使用了1.5秒、2.0秒和3.0秒的团注持续时间,并使用最小二乘法将福克 - 普朗克方程针对团注追踪ASL边界条件的解拟合到实验数据。分别从所得曲线的一阶矩和二阶矩计算平均通过时间(MTT)和毛细血管通过时间(CTT),并通过从MTT中减去CTT来计算动脉通过时间(ATT)。平均MTT、CTT和ATT值分别为1.75±0.22秒、1.43±0.12秒和0.32±0.04秒。总之,通过将理论模型与ASL实验相结合,开发了一种新的ASL方案。该技术具有为不同团注体积提供解决方案的独特能力,并且通过为连续和脉冲ASL(CASL和PASL)技术推导额外的解证明了新模型的通用性。

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