Fractals in Neuroimaging.
Classification
Computed tomography
Detrended fluctuation analysis
Fractal dimension
Hurst exponent
Magnetic resonance imaging
Neuroimaging
Statistical tests
Journal
Advances in neurobiology
ISSN: 2190-5215
Titre abrégé: Adv Neurobiol
Pays: United States
ID NLM: 101571545
Informations de publication
Date de publication:
2024
2024
Historique:
medline:
12
3
2024
pubmed:
12
3
2024
entrez:
12
3
2024
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 38468046
doi: 10.1007/978-3-031-47606-8_22
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
429-444Informations de copyright
© 2024. The Author(s), under exclusive license to Springer Nature Switzerland AG.
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