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A new method to extract the conductivity tensor of brain inner tissues

机译:一种提取脑内组织电导率张量的新方法

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The conductivity of brain inner tisssue is the key factor in EEG/MEG research. The brain tissue is inhomogeneous, and specially white matter exhibits serious anisotropic conductivity. The traditional methods such as electrical impedance tomography(EIT) is hard to solve the anisotropic conductivity problem. This paper put forward a new method to covert diffusion tensor to conductivity tensor based on diffusion tensor imaging (DTI) technology. This method incorporates the parameter of ions'concentration based on Stokes-Einstein and Nernst-Einstein equations. At last the method was testified on a human subject DTI dataset. The accuracy of this method is mainly determined by the parameter of diffusion-weighted time.
机译:脑内组织的电导率是脑电图/脑电图研究的关键因素。脑组织是不均匀的,特别是白质表现出严重的各向异性电导率。诸如电阻抗层析成像(EIT)等传统方法很难解决各向异性电导率问题。提出了一种基于扩散张量成像技术将电导张量隐式转换为电导张量的新方法。该方法结合了基于Stokes-Einstein和Nernst-Einstein方程的离子浓度参数。最后,该方法在人类DTI数据集上得到了证明。该方法的准确性主要取决于扩散加权时间的参数。

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