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Quantitative Diffusion Tensor Imaging of White Matter Microstructure in Dog Brain at 7T

机译:7T犬脑白质微观结构的定量扩散张量成像

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The purpose of this study is to develop a noninvasive quantitative imaging scheme to assess the functionalmicroanatomy of dog brain using high resolution diffusion tensor imaging (DTI) at 7-Tesla (T) magnetic resonanceimaging (MRI) scanner. Diffusion weighted images (DWIs) along 25 diffusion-encoding directions, combined with T2weighted images, were acquired using the standard spin-echo diffusion encoding scheme to determine the diffusion tensormatrix. Three diffusion indices: fractional anisotropy (FA), Trace/3 apparent diffusion coefficient (ADC), and volumeratio (VR) were measured within seven representative regions of interest (ROIs) from internal capsule, corpus callosum,caudate nucleus, hippocampus, thalamus, fornix, and cerebral cortex. Experimental results show much higher scalarcontrast and more accurate fiber structures based on the FA weighted color map and fiber orientation map, indicating thishigh angular DTI technique at 7T is an accurate scheme to map the microstructures in fixed dog brains, which is alsoapplicable for studying the functional microanatomy of other animal models.
机译:这项研究的目的是开发一种非侵入性定量成像方案,以在7特斯拉(T)磁共振成像(MRI)扫描仪上使用高分辨率扩散张量成像(DTI)评估狗脑的功能显微解剖。使用标准自旋回波扩散编码方案来确定沿扩散张量矩阵的方向,沿25个扩散编码方向的扩散加权图像(DWI)与T2加权图像相结合。三种扩散指数:分数各向异性(FA),迹线/ 3表观扩散系数(ADC)和体积比(VR)在来自内囊,体,尾状核,海马,丘脑,穹ni和大脑皮层。实验结果表明,基于FA加权彩色图和纤维取向图,标量对比度更高,纤维结构更准确,表明这种高角度DTI技术在7T时是绘制固定狗脑微结构的准确方案,也可用于研究功能性其他动物模型的显微解剖。

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