基于开放曲线蛇的小鼠脑大部分图谱神经元自动跟踪算法研究

Zhenlong Xiao, Jiazuan Ni, Qiong Liu, Liang Jiang, Xin Wang
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引用次数: 1

摘要

尽管科学技术发展迅速,但人类的神经系统仍然是最复杂的功能系统,它建立在数十亿个神经元的基础上,这是大脑的基本结构。本文采用显微光学断层扫描技术(MOST)扫描小鼠脑的断层图谱。在目前的文献报道中,现有的算法不能有效地跟踪复杂图像数据中的神经元。为了实现对MOST数据更有效的跟踪方法,本文提出了一种基于OpenSnake跟踪算法的改进方案,并使用c++语言实现算法。我们的方法为AD的研究提供了重要的理论依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on automatic tracking algorithm of neurons in most atlas of mouse brain based on open curve snake
In spite of the rapid development of science and technology, the nervous system of human is still the most sophisticated functional system, which is based on billions of neurons, the basic structure of brains. In this paper, section atlas of mouse brain were scanned by micro-optic Sectioning Tomography (MOST). In the current literature reports, the existing algorithms cannot track neurons of complex image data effectively. In order to achieve a more effective tracking method for MOST data, our paper proposed an improved scheme based on the OpenSnake tracking algorithm, and used the C++ language to implement algorithm. Our methods provide important theoretical basis for the study of AD.
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