Кафедра гістології, цитології та ембріології
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Item Quantitative assessment of structural complexity in human cerebellum through analysis of skeletonized mr images: anatomical correlations, sex differences, and agerelated changes(Acta Morphologica et Anthropologica, 2024) Maryenko, Nataliia; Мар'єнко, Наталія Іванівна; Stepanenko, Oleksandr; Степаненко, Олександр ЮрійовичThe present study provides a quantitative assessment of the human cerebellum structural complexity using analysis of skeletonized images. Magnetic resonance images from 100 apparently healthy individuals (aged 18-86 years) were examined. Following segmentation, the images were skeletonized, and quantitative analysis of the digital skeletons was conducted. The following parameters were determined: number of branches and their junctions, end-point, slab and junction pixels, average and maximum branch length, triple and quadruple points. Sex differences were assessed. Correlation analysis included determining the relationships between the studied parameters and age, morphometric parameters derived from Euclidean and fractal geometries, as well as the same parameters of the digital skeletons identified in the cerebral hemispheres. In conclusion, quantitative analysis of digital cerebellar skeletons offers advantages for assessing the structural complexity of the cerebellum. This method and the results of the present study can be applied in diagnosing cerebellar malformations and distinguishing between malformations and atrophic alterations.Item Comparative analysis of fractal dimensions of human cerebellum: impact of image preprocessing and fractal analysis methods(2022) Maryenko, Nataliia; Stepanenko, OleksandrThe aim: To compare the values of the fractal dimensions of human cerebellum obtained using different algorithms of image preprocessing and different methods of fractal analysis. Materials and methods: The study involved 120 people without structural changes in the brain (age 18-86 years, 55 men and 65 women). T1- and T2-weighted MR brain images were studied. Fractal analysis was performed using box counting and pixel dilatation methods. Fractal dimensions of cerebellar tissue as a whole, cerebellar cortex and its individual layers, cerebellar white matter were measured and compared to each other and to fractal dimension of cerebellar white matter determined in cadaveric cerebella. Results: It was no significant difference between fractal dimension values of cerebellar tissue as a whole measured on T1 and T2 weighted magnetic resonance images of cerebellum, and fractal dimension values measured on the same images using different methods of fractal analysis – pixel dilatation and box counting. T2 weighted images are preferable for fractal analysis of different components of cerebellar tissue. Segmentation according to pixel luminance is the preferable image preprocessing method for fractal analysis of cerebellar cortex as a whole, individual cortical layers and cerebellar tissue as a whole; skeletonizing of cerebellar magnetic resonance images is the preferable method of the image preprocessing for fractal analysis of cerebellar white matter. Conclusions: The algorithm of image preprocessing, magnetic resonance imaging sequence and method of fractal analysis should be chosen according to aim of quantitative study of cerebellar magnetic resonance images and features of the studied structure of cerebellum.Item Fractal dimension of cerebellum in acute cerebellar infarction (magnetic resonance imaging study)(2022) Maryenko, Nataliia; Stepanenko, OleksandrThe aim of the study was to determine the values of fractal dimension of the cerebellum in acute cerebellar infarction using the quantitative study of magnetic resonance images of brain. Materials and methods: In this study, 11 patients with acute cerebellar infarction and 120 persons without structural changes in the brain (control group) were enrolled. T2-weighted magnetic resonance images of the brain were investigated. Fractal analysis was performed using pixel dilatation method. The values of fractal dimension of the cerebellar tissue as a whole and fractal dimension of the outer contour of the cerebellar tissue were determined. The fractal dimension values were measured in the following areas: cerebellar vermis (superior and inferior cerebellar lobes), foci of cerebellar infarction and areas adjacent to the foci (superior and inferior cerebellar lobes). Results: It was established that the values of fractal dimension of cerebellar tissue as a whole and fractal dimension of the outer contour of the cerebellar tissue in the area of cerebellar ischaemic infarction foci were significantly decreased compared to the control group. There was no significant difference between fractal dimension values of the cerebellar vermis, areas adjacent to infarction foci in patients with cerebellar infarction and vermal fractal dimension values in the control group. Conclusions: Fractal analysis of cerebellar magnetic resonance images may be used as an additional quantitative method to diagnose acute cerebellar infarction and to assess ischaemic foci to detect the boundaries between damaged and undamaged cerebellar tissue.Item Fractal dimension of external linear contour of human cerebellum (magnetic resonance imaging study)(2021) Maryenko, Nataliia; Stepanenko, OleksandrFractal analysis is a method of mathematical analysis, which provides quantitative assessment of the spatial configuration complexity of the anatomical structures and may be used as a morphometric method. The purpose of the study was to determine the values of the fractal dimension of the outer linear contour of human cerebellum by studying the magnetic resonance images of the brain using the authors' modification of the caliper method and compare to the values determined using the box counting method. Brain magnetic resonance images of 30 relatively healthy persons aged 18-30 years (15 men and 15 women) were used in the study. T2-weighted digital magnetic resonance images were studied. The midsagittal MR sections of the cerebellar vermis were investigated. The caliper method in the author's modification was used for fractal analysis. The average value of the fractal dimension of the linear contour of the cerebellum, determined using the caliper method, was 1.513±0.008 (1.432¸1.600). The average value of the fractal dimension of the linear contour of the cerebellum, determined using the box counting method, was 1.530±0.010 (1.427¸1.647). The average value of the fractal dimension of the cerebellar tissue as a whole, determined using the box counting method, was 1.760±0.006 (1.674¸1.837). The values of the fractal dimension of the outer linear contour of the cerebellum, determined using the caliper method and the box counting method were not statistically significantly different. Therefore, both methods can be used for fractal analysis of the linear contour of the cerebellum. Fractal analysis of the outer linear contour of the cerebellum allows to quantify the complexity of the spatial configuration of the outer surface of the cerebellum, which is difficult to estimate using traditional morphometric methods. The data obtained from this study and the methodology of the caliper method of fractal analysis in the author's modification can be used for morphometric investigations of the human cerebellum in morphological studies, as well as in assessment of cerebellar MR images for diagnostic purposes.Item Folia of human cerebellum: structure and variations(2021) Maryenko, Nataliia; Stepanenko, OleksandrThe aim of the study was to describe possible variations in size and shape of folia of human cerebellum to determine morphological and morphometric characteristics of normal cerebellar folia. Cadaveric material (cerebella of 50 people) was studied. It was shown that cerebellar folia aren’t uniform in size and shape. We developed the original classification of cerebellar folia. The folia were divided into 3 types according to folium height (small, medium and large) and width (small, medium and large). 9 anatomical variants of cerebellar folia were described in accordance with the shape and ratio of height and width of the folia. Different cerebellar lobules and branches have different folial variants, but all described folial types and variants may be found in a single cerebellum. The results of the study may be helpful to distinguish normal and abnormal cerebellar folia to diagnose cerebellar malformations in clinical neuroimaging and morphological studies of cerebellum.Item Characterization of white matter branching in human cerebella: quantitative morphological assessment and fractal analysis of skeletonized MR images(2021) Maryenko, Nataliia; Stepanenko, OleksandrIntroduction: The aim of the present study was to investigate branching characteristics of the human cerebellar white matter by the means of findings obtained from the quantitative morphological assessment and fractal analysis of the skeletonized MR images of the human cerebellum. Methods: Thirty individuals with no apparent brain pathology (15 males and 15 females, ranging from 18 - 30 years of age) participated in this study. Their normal T2-weighted MR images of the cerebellar vermis (midsagittal plane) were examined. The skeletonizing procedure and subsequent quantitative morphological assessment of the acquired skeletonized MR images were performed. The following parameters were determined: the number of branches, the number of junctions, the amount of end-point voxels, junction voxels and slab voxels, the average and maximum branch lengths, the longest-shortest patch length, and the number of triple and quadruple points. Additionally, the individual branches of the obtained digital skeletons of the cerebellar white matter were examined and the following parameters were assessed: branch length variability, Euclidean distance, and branch length/Euclidean distance ratio. A fractal analysis was performed using the box counting method prior to and after the MR image skeletonizing procedure. The values of the fractal dimensions (FD) of both skeletonized and non-skeletonized MR images were calculated.Results:It was established that the cerebella, which had the maximum values of the FD, possessed a large number of small branches approximately equal in length and which were connected by numerous junctions, forming numerous endpoints. Those cerebella, which had higher values of the average branch length and greater branch length variability, showed lower values of the FD. The key characteristics of the digital skeleton that determined the values of the FD of the cerebellum and its skeletonized MR images were the number of branches and the number of junctions that had the strongest correlational relationships with the FD of the skeletonized MR images. We submitted a proposition to consider the number of branches and amount of junctions as a diagnostic criterion in the determination of normal values of the FD. Conclusions: The obtained data can be used as diagnostic criteria in assessment of the orphofunctional state of the cerebellum using magnetic resonance imaging (MRI) technique.Item Fractal analysis of the human cerebellum (magnetic resonance imaging study)(ХНМУ, 2020) Мар’єнко, Наталія Іванівна; Марьенко, Наталия Ивановна; Maryenko, NataliiaItem Clusters of fractal dimension of the human cerebellum (magnetic resonance imaging study)(2020) Мар’єнко, Наталія Іванівна; Марьенко, Наталия Ивановна; Maryenko, NataliiaItem Морфологические особенности мозжечка при острых нарушених мозгового кровообращения(2016-04) Мар’єнко, Наталія Іванівна; Марьенко, Наталия Ивановна; Maryenko, Nataliia; Добровольська, О.М.; Добровольская, Е.М.Item Structure and individual anatomical variability of the lobules IV-V of the human cerebellar hemispheres(2017) Maryenko, Nataliia; Мар’єнко, Наталія Іванівна; Stepanenko, Oleksandr; Степаненко, Олександр ЮрійовичThe aim of the present study was to determine morphological variations in the lobules IV-V of the human cerebellar hemispheres. Material and methods. The research involved cerebella of 100 people of both sexes, who died of causes unrelated to brain pathology at the age of 20-95. The parasagittal sections of the cerebellum were investigated. Possible variations in the size, shape and peculiarities of branching of the white matter in the lobules IV-V of the cerebellar hemispheres were investigated. Results. Complex branched white matter is the basis of the IV-V lobules of human cerebellar hemispheres. The shape of the IV-V lobules is quite varied. Differences of the structure of these lobules depend on the characteristics of the branching of the white matter. The shape of the lobule depends on location of the section. Structure of the lobules is different on serial parasagittal sections. We described 2 variants of branching of the white matter of the hemispheric lobules IV-V at a distance 5 mm from midsagittal section (the 2nd variant is the most common) and 10 common variants of the shape of IV-V lobules (10 mm from midsagittal section); the third variant is the most common variant of the lobule IV; the first, second, and third variants are the most common shape variants of the lobule V. Conclusion. Described variants of the shape of the cerebellar lobules can be used as criteria standards of modern diagnostic imaging techniques for the diagnosis of various diseases of the CNS.