Abstract
A new active contour model for finding and mapping the outer cortex in brain images is developed. A cross-section of the brain cortex is modeled as a ribbon, and a constant speed mapping of its spine is sought. A variational formulation, an associated force balance condition, and a numerical approach are proposed to achieve this goal. The primary difference between this formulation and that of snakes is in the specification of the external force acting on the active contour. A study of the uniqueness and fidelity of solutions is made through convexity and frequency domain analyses, and a criterion for selection of the regularization coefficient is developed. Examples demonstrating the performance of this method on simulated and real data are provided.
Keywords
Regularization (linguistics)Active contour modelUniquenessComputer scienceFidelityArtificial intelligenceConvexityAlgorithmComputer visionMathematicsMathematical analysisSegmentationImage segmentation
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Publication Info
- Year
- 1995
- Type
- article
- Volume
- 14
- Issue
- 1
- Pages
- 65-80
- Citations
- 245
- Access
- Closed
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Cite This
Christos Davatzikos,
Jerry L. Prince
(1995).
An active contour model for mapping the cortex.
IEEE Transactions on Medical Imaging
, 14
(1)
, 65-80.
https://doi.org/10.1109/42.370403
Identifiers
- DOI
- 10.1109/42.370403