Fractals in neuroimaging

Salim Lahmiri, Mounir Boukadoum, Antonio Di Ieva

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


    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 recent 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.
    Original languageEnglish
    Title of host publicationThe Fractal geometry of the brain
    EditorsAntonio Di Ieva
    Place of PublicationNew York
    PublisherSpringer, Springer Nature
    Number of pages15
    ISBN (Print)9781493939954
    Publication statusPublished - 2016

    Publication series

    NameSpringer Series in Computational Neuroscience


    • computed tomography
    • detrended fluctuation analysis
    • fractal dimension
    • Hurst exponent
    • magnetic resonance imaging
    • neuroimaging
    • classification
    • statistical tests


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