神经成像中的分形

Q3 Neuroscience
Salim Lahmiri, Mounir Boukadoum, Antonio Di Ieva
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引用次数: 0

摘要

一些自然现象可以通过研究其统计缩放模式来描述,从而得出简单的几何解释。在这方面,分形几何是一种强大的工具,可以利用空间或时域统计缩放规律(幂律行为)来描述现实世界物理系统的特征,从而描述自然特征的不规则或破碎形状。本章将介绍一些关于分形特征(主要是分形维度和相关赫斯特指数)在神经成像(主要是磁共振成像)中表征和识别病理学和放射学特征方面的实用性研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fractals in Neuroimaging.

Several natural phenomena can be described by studying their statistical scaling patterns, hence leading to simple geometrical interpretation. In this regard, fractal geometry is a powerful tool to describe the irregular or fragmented shape of natural features, using spatial or time-domain statistical scaling laws (power-law behavior) to characterize real-world physical systems. This chapter presents some works on the usefulness of fractal features, mainly the fractal dimension and the related Hurst exponent, in the characterization and identification of pathologies and radiological features in neuroimaging, mainly, magnetic resonance imaging.

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来源期刊
Advances in neurobiology
Advances in neurobiology Neuroscience-Neurology
CiteScore
2.80
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0.00%
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