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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Format: | Article |
Language: | English |
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Duzce University
2023-04-01
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Series: | Düzce Tıp Fakültesi Dergisi |
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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. |
first_indexed | 2024-03-09T06:54:56Z |
format | Article |
id | doaj.art-385d4f33b88b4a6f889b77cf85110437 |
institution | Directory Open Access Journal |
issn | 1307-671X |
language | English |
last_indexed | 2024-03-09T06:54:56Z |
publishDate | 2023-04-01 |
publisher | Duzce University |
record_format | Article |
series | Düzce Tıp Fakültesi Dergisi |
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 |