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Fractal Dimension of Silhouette Magnetic Resonance Brain Images as a Measure of Age-Associated Changes in Cerebral Hemispheres
Abstract
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.
Keywords
References
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Details
Primary Language
English
Subjects
Clinical Sciences
Journal Section
Research Article
Authors
Publication Date
April 30, 2023
Submission Date
September 27, 2022
Acceptance Date
January 16, 2023
Published in Issue
Year 2023 Volume: 25 Number: 1
APA
Maryenko, N., & Stepanenko, O. (2023). Fractal Dimension of Silhouette Magnetic Resonance Brain Images as a Measure of Age-Associated Changes in Cerebral Hemispheres. Duzce Medical Journal, 25(1), 27-37. https://doi.org/10.18678/dtfd.1180625
AMA
1.Maryenko N, Stepanenko O. Fractal Dimension of Silhouette Magnetic Resonance Brain Images as a Measure of Age-Associated Changes in Cerebral Hemispheres. Duzce Med J. 2023;25(1):27-37. doi:10.18678/dtfd.1180625
Chicago
Maryenko, Nataliia, and Oleksandr Stepanenko. 2023. “Fractal Dimension of Silhouette Magnetic Resonance Brain Images As a Measure of Age-Associated Changes in Cerebral Hemispheres”. Duzce Medical Journal 25 (1): 27-37. https://doi.org/10.18678/dtfd.1180625.
EndNote
Maryenko N, Stepanenko O (April 1, 2023) Fractal Dimension of Silhouette Magnetic Resonance Brain Images as a Measure of Age-Associated Changes in Cerebral Hemispheres. Duzce Medical Journal 25 1 27–37.
IEEE
[1]N. Maryenko and O. Stepanenko, “Fractal Dimension of Silhouette Magnetic Resonance Brain Images as a Measure of Age-Associated Changes in Cerebral Hemispheres”, Duzce Med J, vol. 25, no. 1, pp. 27–37, Apr. 2023, doi: 10.18678/dtfd.1180625.
ISNAD
Maryenko, Nataliia - Stepanenko, Oleksandr. “Fractal Dimension of Silhouette Magnetic Resonance Brain Images As a Measure of Age-Associated Changes in Cerebral Hemispheres”. Duzce Medical Journal 25/1 (April 1, 2023): 27-37. https://doi.org/10.18678/dtfd.1180625.
JAMA
1.Maryenko N, Stepanenko O. Fractal Dimension of Silhouette Magnetic Resonance Brain Images as a Measure of Age-Associated Changes in Cerebral Hemispheres. Duzce Med J. 2023;25:27–37.
MLA
Maryenko, Nataliia, and Oleksandr Stepanenko. “Fractal Dimension of Silhouette Magnetic Resonance Brain Images As a Measure of Age-Associated Changes in Cerebral Hemispheres”. Duzce Medical Journal, vol. 25, no. 1, Apr. 2023, pp. 27-37, doi:10.18678/dtfd.1180625.
Vancouver
1.Nataliia Maryenko, Oleksandr Stepanenko. Fractal Dimension of Silhouette Magnetic Resonance Brain Images as a Measure of Age-Associated Changes in Cerebral Hemispheres. Duzce Med J. 2023 Apr. 1;25(1):27-3. doi:10.18678/dtfd.1180625
Cited By
Quantitative characterization of age-related atrophic changes in cerebral hemispheres: A novel “contour smoothing” fractal analysis method
Translational Research in Anatomy
https://doi.org/10.1016/j.tria.2023.100263
