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Graph Spectral Characterization of Brain Cortical Morphology
independent researcher, Vienna, Austria.
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Department of Computer and Information Science, The Division of Statistics and Machine Learning. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Department of Biomedical Engineering, Lund University, Lund, Sweden.
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The human brain cortical layer has a convoluted morphology that is unique to each individual. Characterization of the cortical morphology is necessary in longitudinal studies of structural brain change, as well as in discriminating individuals in health and disease. A method for encoding the cortical morphology in the form of a graph is presented. The design of graphs that encode the global cerebral hemisphere cortices as well as localized cortical regions is proposed. Spectral metrics derived from these graphs are then studied and proposed as descriptors of cortical morphology. As proof-of-concept of their applicability in characterizing cortical morphology, the metrics are studied in the context of hemispheric asymmetry as well as gender dependent discrimination of cortical morphology.

Place, publisher, year, edition, pages
2019.
Keywords [en]
Morphology, Eigenvalues and eigenfunctions, Measurement, Shape, Laplace equations, Symmetric matrices, Encoding
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-160933DOI: 10.1109/EMBC.2019.8856468OAI: oai:DiVA.org:liu-160933DiVA, id: diva2:1361172
Conference
41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 23-27 July 2019
Available from: 2019-10-15 Created: 2019-10-15 Last updated: 2019-10-25Bibliographically approved

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Eklund, Anders

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  • nn-NB
  • sv-SE
  • Other locale
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Output format
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