Objective To compare CT-C + with MRI sequences in the detection of normal CS anatomy and artifacts,and to inquire into an optimal and practical methods for the CS examination.Methods Sixty cases with normal sellar region and CS were divided into three groups with each twenty cases respectively.The first group were simultaneously performed SE T 1WI,FSE T 2WI,FS SE T 1WI,GRE T 1WI,and SE T 1WIC +;The second were performed 3D SPGR and HR FSE T 2WI;And the third were performed CT-C +.Then the 8 methods were evaluated and compared each other on the efficacy in the detection of norma anatomy and artifacts.Results (1)SE T 1WIC +and CT-C +were superior to other 6 methods in the detection of Ⅲ,Ⅴ 1and Ⅵ(?

The breakdown voltage plays an important role in evaluating residual life of stator insulation in generator. In this paper, we discussed BP neural network that was used to predict the breakdown voltage of stator insulation in generator of 300 MW/18 kV. At first the neural network has been trained by the samples that include the varieties of dielectric loss factor tanδ, the partial discharge parameters and breakdown voltage. Then we tried to predict the breakdown voltage of samples and stator insulations subjected to multi-stress aging by the trained neural network. We found that it's feasible and accurate to predict the voltage. This method can be applied to predict breakdown voltage of other generators which have the same insulation structure and material.