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1Department of Psychiatry,University of Geneva School of Medicine, 2Signal Processing Laboratory,École Polytechnique Fédérale de Lausanne, 3Department of Radiology,University Hospital Center and University of Lausanne, 4Athinoula A. Martinos Center for Biomedical Imaging,Massachusetts General Hospital
Chapters
- 00:05Title
- 02:15Reconstructing 3D Cortical Surfaces
- 04:34Computing the Local Gyrification Index
- 05:37Vertex-wise Statistical Group Comparisons via the Command Line
- 07:19Vertex-wise Statistical Group Comparisons via Qdec
- 08:06Parcel-wise Statistical Group Comparisons
- 09:10Conclusion
Gyrification di misura (pieghevole corticale) a qualunque età rappresenta una finestra nello sviluppo cerebrale precoce. Quindi, abbiamo già sviluppato un algoritmo per misurare gyrification locale a migliaia di punti sopra l'emisfero<sup> 1</sup>. In questo lavoro, abbiamo dettaglio il calcolo di questo indice gyrification locale.
Tags
MeasureCortical FoldingMR ImagesTutorialComputeLocal Gyrification IndexSulcal MorphometryShape DescriptorsInter-hemispheric AsymmetryGeometrical PropertiesSulci IdentificationFine-grained QuantificationCurvature-based MeasurementsAbsolute Mean CurvatureCortical SurfaceCurvednessBiologically Meaningful CorrelateCortical VolumeSurface Measurement Algorithm
