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利用高速STEAM MRI对活体人类大脑进行扩散成像。

Diffusion imaging of the human brain in vivo using high-speed STEAM MRI.

作者信息

Merboldt K D, Hänicke W, Bruhn H, Gyngell M L, Frahm J

机构信息

Max-Planck-Institut für biophysikalische Chemie, Göttingen, Federal Republic of Germany.

出版信息

Magn Reson Med. 1992 Jan;23(1):179-92. doi: 10.1002/mrm.1910230119.

Abstract

This paper describes a new method for diffusion imaging of the human brain in vivo that is based on a combination of diffusion-encoding gradients with high-speed STEAM MR imaging. The single-shot sequence 90 degrees-TE/2-90 degrees-TM-(alpha-TE/2-STE)n generates n = 32-64 differently phase-encoded stimulated echoes STE yielding image acquisition times of 576 ms for a 48 x 128 data matrix. Diffusion encoding is performed during the first TE/2-interval as well as during each readout period. Phantom studies reveal a quantitative agreement of calculated diffusion coefficients with literature values. EKG triggering completely eliminates motion artifacts from diffusion-weighted single-shot STEAM images of human brain in vivo. While signal attenuation of the cerebrospinal fluid (CSF) is predominantly due to flow, that observed for gray and white matter results from diffusion. Evaluated diffusion coefficients yield (1.0 +/- 0.1) x 10(-5) cm2 s-1 for gray matter, (0.5 +/- 0.1) x 10(-5) cm2 s-1 for white matter with the diffusion encoding parallel to the main orientation of the myelin sheath of the neurofibrils, and (0.3 +/- 0.1) x 10(-5) cm2 s-1 for white matter and a perpendicular orientation. All studies were performed at 2.0 T using a conventional 10 mT m-1 gradient system.

摘要

本文描述了一种用于人体脑活体扩散成像的新方法,该方法基于扩散编码梯度与高速STEAM磁共振成像的结合。单次激发序列90°-TE/2-90°-TM-(α-TE/2-STE)n产生n = 32 - 64个相位编码不同的受激回波STE,对于48×128数据矩阵,图像采集时间为576 ms。扩散编码在第一个TE/2间隔以及每个读出周期内进行。模体研究表明,计算得到的扩散系数与文献值在定量上相符。心电图触发完全消除了人体脑活体扩散加权单次激发STEAM图像中的运动伪影。脑脊液(CSF)的信号衰减主要是由于流动,而灰质和白质的信号衰减是由扩散引起的。对于灰质,评估得到的扩散系数为(1.0±0.1)×10⁻⁵ cm² s⁻¹,对于白质,当扩散编码与神经纤维髓鞘的主方向平行时为(0.5±0.1)×10⁻⁵ cm² s⁻¹,垂直方向时为(0.3±0.1)×10⁻⁵ cm² s⁻¹。所有研究均在2.0 T下使用传统的10 mT m⁻¹梯度系统进行。

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