人脑白质与脑灰质β色散、δ色散和γ色散过渡区间机制分析

发布时间：2018-03-24 02:16

  本文选题：极化机制　切入点：色散特性　出处：《生物医学工程学杂志》2017年04期

【摘要】：为了探索脑白质和脑灰质在β、δ和γ色散过度区间内的介电特性在临床医学和微波成像技术上的应用,本文应用Cole-Cole公式计算脑白质和脑灰质的相对介电常数及增量,并以相对介电常数增量的突变为依据,判断3种色散发生的频域区间;而后利用Cole-Cole圆分析过渡区内哪种色散占核心地位,以及相应的极化机制,从中寻找有价值的数据和规律。结果表明:脑白质在β与δ色散之间、β与γ色散之间、δ与γ色散之间有3种色散过渡区间,而脑灰质仅在β与δ色散之间和δ与γ色散之间有2种过渡区间;脑白质的β与δ色散过渡区间频率范围宽于脑灰质的,且在这两种物质中β与δ色散过渡区间内均以β色散占核心地位,其相应的极化机制为界面极化;脑白质的δ与γ色散过渡区间频率范围也宽于脑灰质过渡区间的频率范围,且在这两种物质中δ与γ色散过渡区间内均以δ色散占核心地位,其相应的极化方式为转向极化。通过以上研究,本文结果可为脑组织疾病的诊断和微波成像技术提供理论依据和数据参考。
[Abstract]:In order to explore the application of the dielectric properties of white matter and gray matter in the range of 尾, 未 and 纬 dispersion in clinical medicine and microwave imaging, the relative dielectric constant and increment of white matter and gray matter were calculated by Cole-Cole formula. On the basis of the abrupt change of relative dielectric constant increment, the frequency domain of the three kinds of dispersion is determined, and then the Cole-Cole circle is used to analyze which dispersion occupies the core position in the transition region and the corresponding polarization mechanism. The results show that there are three dispersion transition regions between 尾 and 未 dispersion, 尾 and 纬 dispersion, 未 and 纬 dispersion, and between 未 and 纬 dispersion. However, there are only two transition regions between 尾 and 未 dispersion and between 未 and 纬 dispersion in gray matter, and the frequency range of 尾 and 未 dispersion transition interval in white matter is wider than that in gray matter. 尾 -dispersion occupies the core position in the transition region of 尾 and 未 dispersion, and the corresponding polarization mechanism is interfacial polarization, and the frequency range of 未 and 纬 dispersion transition region of white matter is wider than that of gray matter transition region. The 未 dispersion occupies the core position in the transition region of 未 and 纬 dispersion, and the corresponding polarization mode is turn polarization. The results can provide theoretical basis and data reference for the diagnosis and microwave imaging of brain tissue diseases.
【作者单位】： 兰州交通大学光电技术与智能控制教育部重点实验室;
【基金】：国家自然科学基金项目(51267010,51567015) 甘肃省杰出青年基金(1308RJDA013) 光电技术与智能控制教育部重点实验室(兰州交通大学)开放课题(KFKT2016-5)
【分类号】：R741.044
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本文编号：1656261