Fractal Dimension of Silhouette Magnetic Resonance Brain Images as a Measure of Age-Associated Changes in Cerebral Hemispheres

Aim: The aim of the present study was to characterize age-associated changes in the spatial configuration of cerebral hemispheres (including changes in spatial complexity and space-filling capacity) using fractal analysis of silhouette magnetic resonance brain images. Material and Methods: Magnetic...

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Main Authors: Oleksandr Stepanenko, Nataliia Maryenko
Format: Article
Language:English
Published: Duzce University 2023-04-01
Series:Düzce Tıp Fakültesi Dergisi
Subjects:
Online Access:https://dergipark.org.tr/en/download/article-file/2673144
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author Oleksandr Stepanenko
Nataliia Maryenko
author_facet Oleksandr Stepanenko
Nataliia Maryenko
author_sort Oleksandr Stepanenko
collection DOAJ
description Aim: The aim of the present study was to characterize age-associated changes in the spatial configuration of cerebral hemispheres (including changes in spatial complexity and space-filling capacity) using fractal analysis of silhouette magnetic resonance brain images. Material and Methods: Magnetic resonance brain images of 100 (44 male, 56 female) participants aged between 18-86 years were studied. Five magnetic resonance images were selected from the magnetic resonance imaging dataset of each brain, including four tomographic sections in the coronal plane and one in the axial plane. Fractal dimension values of the cerebral hemispheres silhouettes were measured using the two-dimensional box-counting algorithm. Morphometric parameters based on Euclidean geometry (perimeter, area, and their derivative values) were determined as well. Results: The average fractal dimension value of the five studied tomographic sections was 1.878±0.0009, the average value of four coronal sections was 1.868±0.0010. It was shown that fractal dimension values of cerebral silhouettes for all studied tomographic sections and four coronal sections significantly decrease with age (r=-0.512, p<0.001 and r=-0.491, p<0.001, respectively). The difference in the character of age-related changes in males and females was not statistically significant. Based on the age and the fractal dimension values of the studied sample, the confidence intervals of the fractal dimension values of cerebral hemispheres silhouettes were determined, which can be used as norm criteria in clinical neuroimaging. Conclusion: The fractal analysis and obtained data can be used in neuroimaging for assessing the degree of age-related cerebral atrophy and for differentiating between normal aging and neurodegenerative diseases.
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spelling doaj.art-385d4f33b88b4a6f889b77cf851104372023-12-03T10:05:17ZengDuzce UniversityDüzce Tıp Fakültesi Dergisi1307-671X2023-04-01251273710.18678/dtfd.118062597Fractal Dimension of Silhouette Magnetic Resonance Brain Images as a Measure of Age-Associated Changes in Cerebral HemispheresOleksandr Stepanenko0Nataliia Maryenko1Kharkiv National Medical UniversityKharkiv National Medical UniversityAim: The aim of the present study was to characterize age-associated changes in the spatial configuration of cerebral hemispheres (including changes in spatial complexity and space-filling capacity) using fractal analysis of silhouette magnetic resonance brain images. Material and Methods: Magnetic resonance brain images of 100 (44 male, 56 female) participants aged between 18-86 years were studied. Five magnetic resonance images were selected from the magnetic resonance imaging dataset of each brain, including four tomographic sections in the coronal plane and one in the axial plane. Fractal dimension values of the cerebral hemispheres silhouettes were measured using the two-dimensional box-counting algorithm. Morphometric parameters based on Euclidean geometry (perimeter, area, and their derivative values) were determined as well. Results: The average fractal dimension value of the five studied tomographic sections was 1.878±0.0009, the average value of four coronal sections was 1.868±0.0010. It was shown that fractal dimension values of cerebral silhouettes for all studied tomographic sections and four coronal sections significantly decrease with age (r=-0.512, p<0.001 and r=-0.491, p<0.001, respectively). The difference in the character of age-related changes in males and females was not statistically significant. Based on the age and the fractal dimension values of the studied sample, the confidence intervals of the fractal dimension values of cerebral hemispheres silhouettes were determined, which can be used as norm criteria in clinical neuroimaging. Conclusion: The fractal analysis and obtained data can be used in neuroimaging for assessing the degree of age-related cerebral atrophy and for differentiating between normal aging and neurodegenerative diseases.https://dergipark.org.tr/en/download/article-file/2673144fraktalbeyinyaşlanmaatrofinörogörüntülemefractalscerebrumagingatrophyneuroimaging
spellingShingle Oleksandr Stepanenko
Nataliia Maryenko
Fractal Dimension of Silhouette Magnetic Resonance Brain Images as a Measure of Age-Associated Changes in Cerebral Hemispheres
Düzce Tıp Fakültesi Dergisi
fraktal
beyin
yaşlanma
atrofi
nörogörüntüleme
fractals
cerebrum
aging
atrophy
neuroimaging
title Fractal Dimension of Silhouette Magnetic Resonance Brain Images as a Measure of Age-Associated Changes in Cerebral Hemispheres
title_full Fractal Dimension of Silhouette Magnetic Resonance Brain Images as a Measure of Age-Associated Changes in Cerebral Hemispheres
title_fullStr Fractal Dimension of Silhouette Magnetic Resonance Brain Images as a Measure of Age-Associated Changes in Cerebral Hemispheres
title_full_unstemmed Fractal Dimension of Silhouette Magnetic Resonance Brain Images as a Measure of Age-Associated Changes in Cerebral Hemispheres
title_short Fractal Dimension of Silhouette Magnetic Resonance Brain Images as a Measure of Age-Associated Changes in Cerebral Hemispheres
title_sort fractal dimension of silhouette magnetic resonance brain images as a measure of age associated changes in cerebral hemispheres
topic fraktal
beyin
yaşlanma
atrofi
nörogörüntüleme
fractals
cerebrum
aging
atrophy
neuroimaging
url https://dergipark.org.tr/en/download/article-file/2673144
work_keys_str_mv AT oleksandrstepanenko fractaldimensionofsilhouettemagneticresonancebrainimagesasameasureofageassociatedchangesincerebralhemispheres
AT nataliiamaryenko fractaldimensionofsilhouettemagneticresonancebrainimagesasameasureofageassociatedchangesincerebralhemispheres