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1)  Probabilistic tractography
概率纤维追踪
1.
Objective To investigate corticostriatal connections in human brain by diffusion tensor imaging(DTI),and to define the location of projections from different cortex to striatum with automated probabilistic tractography,in order to provide morphological data for the functional anatomy of human striatum.
将纹状体作为种子点与各个功能区模板之间进行概率纤维追踪,用最大概率算法确定各纤维束在纹状体中的空间位置,对纹状体进行功能解剖划分。
2)  fiber tracking
纤维追踪
3)  tracer fiber
追踪纤维
4)  fiber tractography
纤维追踪成像
1.
Objective To exhibit the changes of association fasciculi of primary progressive aphasia(PPA) with diffusion tensor imaging (DTI) and fiber tractography technique.
目的应用扩散张量成像(DTI)及纤维追踪成像(F iber tractography)检查结果,揭示原发性进行性失语(PPA)患者大脑半球内、半球间联系纤维结构改变。
5)  brain white matter fiber tractography
脑白质纤维追踪成像
1.
In brain white matter fiber tractography,diffusion tensor magnetic resonance imaging(DT-MRI) can be used to reconstruct the three dimensional structures of the white matter fibers noninvasively.
弥散张量磁共振成像(DT-MRI)的脑白质纤维追踪成像可无创重建脑白质纤维的三维结构,而现有追踪成像方法一般仅考虑局部纤维的弥散倾向,对纤维束几何结构的综合考虑不足,为此提出一种贝叶斯决策概率型的纤维追踪成像算法。
6)  power tracing
功率追踪
1.
Study on the losses location of transmission system based on power tracing;
基于功率追踪的输电网损耗分配方法研究
2.
A new power tracing method using graph theory is introduced,which is based on the adjacency matrix and path matrix of the digraph of load flow solution.
提出了一种利用图论进行功率追踪的新方法。
补充资料:碳(石墨)纤维增强体(见碳纤维、石墨纤维)


碳(石墨)纤维增强体(见碳纤维、石墨纤维)
earbon(graPhite)fibrereinforeements

,、、里z耽维增强体earbon(graphi现inforcements用于复合材料中承受负荷,田的磷纤始知五史纤俯亡e)fibre起增强作
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