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最大化对比度噪声比以区分扩散和微循环血流。

Maximization of contrast-to-noise ratio to distinguish diffusion and microcirculatory flow.

作者信息

Maki J H, Benveniste H, MacFall J R, Johnson G A

机构信息

Department of Radiology, Duke University Medical Center, Durham, NC 27710.

出版信息

J Magn Reson Imaging. 1991 Jan-Feb;1(1):39-46. doi: 10.1002/jmri.1880010105.

Abstract

Optimization of the contrast-to-noise ratio (CNR) is described for microcirculation magnetic resonance (MR) imaging techniques based on flow-compensated/flow-dephased sequences, both with and without even-echo rephasing. The authors present the most advantageous manner of applying flow-dephased gradients, such that dephasing is maximal while diffusion losses are minimal. The theoretical considerations include phase, diffusion, echo time, and bandwidth in the determination of the optimal parameters for microcirculation imaging. Studies in phantoms consisting of stationary and flowing copper sulfate in Sephadex columns demonstrate the validity of the calculations. Optimized in vivo images of a rat stroke model demonstrate the potential of the flow-compensated/flow-dephased technique and the importance of optimizing CNR.

摘要

本文描述了基于流动补偿/流动去相位序列的微循环磁共振(MR)成像技术的对比噪声比(CNR)优化,该技术有无偶数回波重聚均可。作者介绍了应用流动去相位梯度的最有利方式,使得去相位最大化而扩散损失最小化。理论考量包括在确定微循环成像的最佳参数时的相位、扩散、回波时间和带宽。在由葡聚糖柱中固定和流动的硫酸铜组成的模型中进行的研究证明了计算的有效性。对大鼠中风模型的优化体内图像证明了流动补偿/流动去相位技术的潜力以及优化CNR的重要性。

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