面向李群论模算法的动态脑磁图像重建Dynamic Brain Magnetic Image Reconstruction Oriented to the Lie Group Model Algorithm
袁书萍
摘要(Abstract):
针对脑磁图像重建的问题,提出了一种面向李群论模算法的动态脑磁图像重建方法.通过将脑磁三维数字图像进行膨胀和聚类分析后,依据聚类结果得到脑磁图像的分割结果.采用李群论模算法来提取角点,实现面向李群论模算法的动态脑磁图像重建.实验表明:所提出的算法不仅克服了传统脑磁共振图像重建算法中随机设定参数导致重建速度慢的问题,而且提高了图像的重建精度和稳定性.
关键词(KeyWords): 脑磁图像;三维图像;角点检测;重建
基金项目(Foundation): 校级自然科学重点研究项目(2017zr004)
作者(Author): 袁书萍
DOI: 10.16393/j.cnki.37-1436/z.2018.02.004
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