Abstract
This paper examines the problem of obtaining a mathematical representation of the outer cortex of the human brain, which is a key problem in several applications, including morphological analysis of the brain, and spatial normalization and registration of brain images. A parameterization of the outer cortex is first obtained using a deformable surface algorithm which, motivated by the structure of the cortex, is constructed to find the central layer of thick surfaces. Based on this parameterization, a hierarchical representation of the outer cortical structure is proposed through its depth map and its curvature maps at various scales. Various experiments on magnetic resonance data are presented.
Keywords
Normalization (sociology)CurvatureRepresentation (politics)Spatial normalizationCortex (anatomy)Surface (topology)Computer scienceArtificial intelligenceSurface reconstructionComputer visionPattern recognition (psychology)MathematicsGeometryNeuroscienceBiology
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Publication Info
- Year
- 1996
- Type
- article
- Volume
- 15
- Issue
- 6
- Pages
- 785-795
- Citations
- 198
- Access
- Closed
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Cite This
Christos Davatzikos,
Nick Bryan
(1996).
Using a deformable surface model to obtain a shape representation of the cortex.
IEEE Transactions on Medical Imaging
, 15
(6)
, 785-795.
https://doi.org/10.1109/42.544496
Identifiers
- DOI
- 10.1109/42.544496