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Level set based segmentation with intensity and curvature priors (2000)
| Content Provider | CiteSeerX |
|---|---|
| Author | Leventon, Michael E. Faugeras, Olivier Eric, W. William, L. Grimson Iii, M. Wells |
| Description | A method is presented for segmentation of anatomical structures that incorporates prior information about the intensity and curvature profile of the structure from a training set of images and boundaries. Specifically, we model the intensity distribution as a function of signed distance from the object boundary, instead of modeling only the intensity of the object as a whole. A curvature profile acts as a boundary regularization term specific to the shape being extracted, as opposed to simply penalizing high curvature. Using the prior model, the segmentation process estimates a maximum a posteriori higher dimensional surface whose zero level set converges on the boundary of the object to be segmented. Segmentation results are demonstrated on synthetic data and magnetic resonance imagery. 1 |
| File Format | |
| Language | English |
| Publisher Date | 2000-01-01 |
| Publisher Institution | In Workshop on Mathematical Methods in Biomedical Image Analysis Proceedings |
| Access Restriction | Open |
| Subject Keyword | Intensity Distribution Prior Model Curvature Prior Segmentation Result Synthetic Data Magnetic Resonance Imagery High Curvature Curvature Profile Object Boundary Anatomical Structure Prior Information Boundary Regularization Term Specific Segmentation Process Dimensional Surface Training Set |
| Content Type | Text |
| Resource Type | Article |
