FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4294844302> ?p ?o ?g. }

• W4294844302 endingPage "73" @default.
• W4294844302 startingPage "62" @default.
• W4294844302 abstract "For quantitative characterization of the complexity of the spatial configuration of anatomical structures, including cerebral hemispheres, fractal analysis is the most often used method, in addition to which, other methods of image analysis are quite promising, including quantitative analysis of skeletonized images. The purpose of the study was to determine the features of the structural and spatial complexity of the cerebral hemispheres shape using quantitative analysis of skeletonized magnetic resonance images of the cerebral hemispheres. Magnetic resonance brain images of 100 conditionally healthy individuals (who did not have structural changes in the brain) of both sexes (56 women, 44 men) aged 18-86 years (average age 41.72±1.58 years) were studied, 5 tomographic sections (4 coronal sections and 1 axial section) were selected from the set of tomographic images of each brain. During preprocessing, image segmentation was performed to obtain a binary silhouette image, after which silhouette skeletonizing was carried out. Quantitative analysis of skeletonized images included determination of the following parameters: branches, junctions, end-point voxels, junction voxels, slab voxels, triple points, quadruple points, average branch length, maximum branch length. We divided quantitative parameters of skeletonized images into two groups. The first group included branches, junctions, end-point voxels, junction voxels, slab voxels, triple points, quadruple points. These parameters were related to each other and to the values of the fractal dimension by positive correlations. The second group of parameters included average branch length, maximum branch length. These parameters were positively correlated, but they had negative correlations with most of the parameters of the first group and with fractal dimension values. Quantitative parameters and fractal dimension turned out to be better parameters for characterizing the spatial and structural complexity of the cerebral hemispheres shape than traditional morphometric parameters (area, perimeter and their derivatives). It was found that the values of most of the investigated quantitative parameters decreased with age; coronal sections were the most representative for characterizing age-related changes. Quantitative assessment of the brain shape, including spatial and structural complexity, can become an informative tool for the diagnosis of some nervous diseases and the differentiation of pathological and normal age-related changes." @default.
• W4294844302 created "2022-09-07" @default.
• W4294844302 creator A5007517903 @default.
• W4294844302 creator A5019871421 @default.
• W4294844302 date "2022-09-06" @default.
• W4294844302 modified "2023-09-30" @default.
• W4294844302 title "Shape of cerebral hemispheres: structural and spatial complexity. Quantitative analysis of skeletonized MR images" @default.
• W4294844302 cites W1972219145 @default.
• W4294844302 cites W1988518409 @default.
• W4294844302 cites W1990356499 @default.
• W4294844302 cites W2007538972 @default.
• W4294844302 cites W2018403079 @default.
• W4294844302 cites W2067867386 @default.
• W4294844302 cites W2070791497 @default.
• W4294844302 cites W2070797880 @default.
• W4294844302 cites W2076090475 @default.
• W4294844302 cites W2078206416 @default.
• W4294844302 cites W2086887105 @default.
• W4294844302 cites W2098368581 @default.
• W4294844302 cites W2099540110 @default.
• W4294844302 cites W2101666635 @default.
• W4294844302 cites W2107337180 @default.
• W4294844302 cites W2148654577 @default.
• W4294844302 cites W2156771409 @default.
• W4294844302 cites W2517883070 @default.
• W4294844302 cites W2808168577 @default.
• W4294844302 cites W2969929270 @default.
• W4294844302 cites W3011633284 @default.
• W4294844302 cites W3111381519 @default.
• W4294844302 cites W3135707366 @default.
• W4294844302 cites W3151601399 @default.
• W4294844302 cites W3169687346 @default.
• W4294844302 cites W3172879661 @default.
• W4294844302 cites W4281715455 @default.
• W4294844302 doi "https://doi.org/10.31393/morphology-journal-2022-28(3)-10" @default.
• W4294844302 hasPublicationYear "2022" @default.
• W4294844302 type Work @default.
• W4294844302 citedByCount "0" @default.
• W4294844302 crossrefType "journal-article" @default.
• W4294844302 hasAuthorship W4294844302A5007517903 @default.
• W4294844302 hasAuthorship W4294844302A5019871421 @default.
• W4294844302 hasBestOaLocation W42948443021 @default.
• W4294844302 hasConcept C112604564 @default.
• W4294844302 hasConcept C134306372 @default.
• W4294844302 hasConcept C153180895 @default.
• W4294844302 hasConcept C154945302 @default.
• W4294844302 hasConcept C162494671 @default.
• W4294844302 hasConcept C199360897 @default.
• W4294844302 hasConcept C26546657 @default.
• W4294844302 hasConcept C33923547 @default.
• W4294844302 hasConcept C40636538 @default.
• W4294844302 hasConcept C41008148 @default.
• W4294844302 hasConcept C54170458 @default.
• W4294844302 hasConcept C58103923 @default.
• W4294844302 hasConcept C89600930 @default.
• W4294844302 hasConcept C97686452 @default.
• W4294844302 hasConceptScore W4294844302C112604564 @default.
• W4294844302 hasConceptScore W4294844302C134306372 @default.
• W4294844302 hasConceptScore W4294844302C153180895 @default.
• W4294844302 hasConceptScore W4294844302C154945302 @default.
• W4294844302 hasConceptScore W4294844302C162494671 @default.
• W4294844302 hasConceptScore W4294844302C199360897 @default.
• W4294844302 hasConceptScore W4294844302C26546657 @default.
• W4294844302 hasConceptScore W4294844302C33923547 @default.
• W4294844302 hasConceptScore W4294844302C40636538 @default.
• W4294844302 hasConceptScore W4294844302C41008148 @default.
• W4294844302 hasConceptScore W4294844302C54170458 @default.
• W4294844302 hasConceptScore W4294844302C58103923 @default.
• W4294844302 hasConceptScore W4294844302C89600930 @default.
• W4294844302 hasConceptScore W4294844302C97686452 @default.
• W4294844302 hasIssue "3" @default.
• W4294844302 hasLocation W42948443021 @default.
• W4294844302 hasOpenAccess W4294844302 @default.
• W4294844302 hasPrimaryLocation W42948443021 @default.
• W4294844302 hasRelatedWork W1562793155 @default.
• W4294844302 hasRelatedWork W2026265016 @default.
• W4294844302 hasRelatedWork W2054564385 @default.
• W4294844302 hasRelatedWork W2109867997 @default.
• W4294844302 hasRelatedWork W2110230079 @default.
• W4294844302 hasRelatedWork W2119361334 @default.
• W4294844302 hasRelatedWork W2316676029 @default.
• W4294844302 hasRelatedWork W2777646793 @default.
• W4294844302 hasRelatedWork W2954309397 @default.
• W4294844302 hasRelatedWork W4253950112 @default.
• W4294844302 hasVolume "28" @default.
• W4294844302 isParatext "false" @default.
• W4294844302 isRetracted "false" @default.
• W4294844302 workType "article" @default.