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Medical & Biological Engineering & Computing
Erschienen in: Medical & Biological Engineering & Computing 12/2017

07.06.2017 | Original Article

3D structural complexity analysis of cerebellum in Chiari malformation type I

verfasst von: Engin Akar, Sadık Kara, Hidayet Akdemir, Adem Kırış

Erschienen in: Medical & Biological Engineering & Computing | Ausgabe 12/2017

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Abstract

Chiari malformation type I (CM-I), described by a descent of the cerebellar tonsils, is assumed to be a neurological developmental disorder. The aim of the present study was to investigate morphological variance in cerebellar sub-structures, including gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF), using magnetic resonance (MR) images with three-dimensional (3D) fractal dimension (FD) analysis in patients with CM-I. MRI data of 16 patients and 15 control subjects were obtained, and structural complexity analyses were performed using a box-counting FD algorithm. Results showed that patients with CM-I had significantly reduced FD values for WM and CSF in comparison with controls, and statistically significant differences in cerebellar GM and CSF volumes between patients and controls were found. Moreover, a significant difference was not found between the WM volumes. This may suggest that there are changes in structural complexity in WM even when its volume is unaffected. We conclude that the findings of this preliminary study indicate the possibility of using FD analysis to understand the pathophysiology of CM-I in patients.
Vorheriger Artikel Modelling accidental hypothermia effects on a human body under different pathophysiological conditions
Nächster Artikel Conformal mapping of carotid vessel wall and plaque thickness measured from 3D ultrasound images

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Metadaten
Titel
3D structural complexity analysis of cerebellum in Chiari malformation type I
verfasst von
Engin Akar
Sadık Kara
Hidayet Akdemir
Adem Kırış
Publikationsdatum
07.06.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Medical & Biological Engineering & Computing / Ausgabe 12/2017
Print ISSN: 0140-0118
Elektronische ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-017-1661-7

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