首页> 外文会议>International Conference on Control Systems and Computer Science >Box-Counting Method in Quantitative Analysis of Images of the Brain
【24h】

Box-Counting Method in Quantitative Analysis of Images of the Brain

机译:盒计数法在大脑图像定量分析中的应用

获取原文
获取外文期刊封面目录资料

摘要

The introduction of fractal geometry in the neurosciences has been a major paradigm shift over the last decades as it has helped overcome approximations and limitations that occur when reductionist approaches are used to analyze neurons or the entire brain. Fractal geometry allows for quantitative analysis and description of the geometric complexity of the brain, particularly fractal analysis provides a quantitative tool for the study of morphology of brain cells and the brain structure itself. The box-counting method of fractal analysis, its modification are presented on 2D image of neurons from the monkey brain. The use of MATLAB software, particularly when the 2D or 3D image of the brain have to be quantified with box-counting procedure is also presented. This paper offers a link between the applications of fractal analysis to the neuroanatomy and basic neurosciences with the clinical applications.
机译:在过去的几十年中,神经科学中分形几何的引入已成为主要的范式转变,因为它有助于克服使用还原论方法分析神经元或整个大脑时出现的近似和局限性。分形几何允许定量分析和描述大脑的几何复杂性,特别是分形分析为研究脑细胞形态和大脑结构本身提供了一种定量工具。分形分析的盒计数方法及其修改形式在来自猴脑的神经元的2D图像上呈现。还介绍了MATLAB软件的使用,特别是当必须使用盒计数程序对大脑的2D或3D图像进行量化时。本文提供了分形分析在神经解剖学中的应用与基础神经科学及其临床应用之间的联系。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号