Conductivity tensor imaging of the brain using diffusion-weighted magnetic resonance imaging
Conductivity tensor imaging of the brain using diffusion-weighted magnetic resonance imaging
复制标题
使用扩散加权磁共振成像对大脑进行电导率张量成像
DOI：
10.1063/1.1544446
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发表时间：
2003
影响因子：
3.2
通讯作者：
S. Ueno
中科院分区：
文献类型：
--
作者：
M. Sekino;K. Yamaguchi;N. Iriguchi;S. Ueno
通过基于扩散加权磁共振成像（MRI）的方法获得大鼠脑的电导率张量图像。扩散加权图像由4.7 T MRI系统采集，在三个方向上施加运动探测梯度（MPG）。根据表观扩散系数的快分量和快分量的分数计算每个MPG方向的电导率，并估计二维电导率张量。在皮质和胼胝体中选择感兴趣区域（ROI）。每个ROI中的平均电导率分别为0.014 S/m和0.018 S/m。胼胝体表现出较高的电导率各向异性，导致各向异性的组织结构，如轴突和树突。
Conductivity tensor images of the rat brain were obtained by a method based on diffusion-weighted magnetic resonance imaging (MRI). Diffusion-weighted images were acquired by a 4.7 T MRI system with motion probing gradients (MPGs) applied in three directions. Conductivities in each MPG direction were calculated from the fast component of the apparent diffusion coefficient and the fraction of the fast component, and two-dimensional conductivity tensor was estimated. Regions of interest (ROIs) were selected in the cortex and the corpus callosum. The mean conductivities in each ROI were 0.014 S/m and 0.018 S/m, respectively. The corpus callosum exhibited higher conductivity anisotropy resulting from anisotropic tissue structures such as axons and dendrites.