Mathematical definition and rules of the splitting/merging patterns in bundles of human peripheral nerve segment

IF 2 3区 医学 Q2 ANATOMY & MORPHOLOGY
Yingchun Zhong , Peng Luo , Xiaoyue Wen , Biao Wang , Chengfan Zhong , Shuang Zhu
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Abstract

Accurately measuring the spatial extension distance of nerve bundles in completing a split/merge is impossible because no clear mathematical definition exists for the starting and ending positions in nerve-bundle splitting/merging. We manually count the number of nerve-bundle splits/merges in long nerve segments, which is labor-intensive, inefficient, and prone to counting errors. Currently, the mathematics are unclear for the nerve-bundle diameter before and after splitting/merging. This paper explores these problems and proposes nerve-bundle splitting/merging rules. Based on the method of defining the beginning and ending positions of nerve-bundle splitting/merging, we explored the mathematical law of equivalent diameter of nerve bundles before and after splitting/merging. The experimental results revealed that the moving average of circularity of nerve bundle accurately defines the beginning and ending positions of nerve-bundle splitting/merging. The diameter of the nerve bundles before and after split/merge approximately conforms to the principles of the Da Vinci formula. The proposed automatic counting algorithm based on centroid offset matching obtains the number of split/merged nerve bundles in the sequence scan images with 100 % accuracy. The mathematical definition of the starting and ending positions of nerve-bundle splitting/merging proposed in this paper is accurate and strict and is the foundation of subsequent research. The proposed automatic counting algorithm based on centroid offset matching (ACA-COM) can accurately and efficiently count the number of times the nerve bundles split and merge in sequential images. The mathematical law satisfied by the diameter of the nerve bundles before and after splitting/merging reflects that the nerve bundles tend to have better capability to resist breaking.

人类周围神经节束分裂/合并模式的数学定义和规则。
精确测量神经束在完成分裂/合并过程中的空间延伸距离是不可能的,因为神经束分裂/合并过程中的起点和终点位置没有明确的数学定义。我们需要手动计算长神经节段中神经束分裂/合并的数量,这不仅耗费人力,效率低下,而且容易出现计算错误。目前,分裂/合并前后的神经束直径的数学计算还不清楚。本文对这些问题进行了探讨,并提出了神经束分割/合并规则。根据神经束分裂/合并起始和终止位置的定义方法,我们探索了分裂/合并前后神经束等效直径的数学规律。实验结果表明,神经束圆周率的移动平均值准确地定义了神经束分裂/合并的起始和终止位置。神经束分裂/合并前后的直径大致符合达芬奇公式的原理。所提出的基于中心偏移匹配的自动计数算法可获得序列扫描图像中分裂/合并神经束的数量,准确率达 100%。本文提出的神经束分裂/合并起止位置的数学定义准确、严谨,是后续研究的基础。所提出的 ACA-COM 可以准确、高效地计算序列图像中神经束分裂和合并的次数。神经束分裂/合并前后的直径所符合的数学规律反映出神经束往往具有更强的抗断裂能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Annals of Anatomy-Anatomischer Anzeiger
Annals of Anatomy-Anatomischer Anzeiger 医学-解剖学与形态学
CiteScore
4.40
自引率
22.70%
发文量
137
审稿时长
33 days
期刊介绍: Annals of Anatomy publish peer reviewed original articles as well as brief review articles. The journal is open to original papers covering a link between anatomy and areas such as •molecular biology, •cell biology •reproductive biology •immunobiology •developmental biology, neurobiology •embryology as well as •neuroanatomy •neuroimmunology •clinical anatomy •comparative anatomy •modern imaging techniques •evolution, and especially also •aging
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