Difference between revisions of "Algorithm:SlicerModules"
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| − | + | = Algorithms Core: Slicer Modules Under Development = | |
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These modules will become available as extensions in the Slicer Extension Manager | These modules will become available as extensions in the Slicer Extension Manager | ||
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* Multimaterial meshing: Surface and volumetric meshing of multimaterial volumes with output surface triangles viewable within Slicer. Contact: Jonathan Bronson, University of Utah. | * Multimaterial meshing: Surface and volumetric meshing of multimaterial volumes with output surface triangles viewable within Slicer. Contact: Jonathan Bronson, University of Utah. | ||
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| + | * Interactive segmentation: Control based interactive segmentation module, allowing users to use feedback and observer based principles to drive active contours to equilibrium position and capture desired features. Contact: Ivan Kolesov, SUNY Stony Brook. | ||
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| + | * Sobolev active contours: Robust implementation of the active contour methodology using a Sobolev norm, giving much better results in the presence of noise. Contact: Arie Nakhmani, UAB. | ||
Revision as of 19:37, 31 August 2013
Home < Algorithm:SlicerModulesAlgorithms Core: Slicer Modules Under Development
These modules will become available as extensions in the Slicer Extension Manager
- Left atrium segmentation: In collaboration with the Afib DBP. Graph-cut based segmentation that loads meshes, allows users to interactively "center" the model, perform the graph-cut segmentation, scan convert results into a volumetric format. Contact: Gopal Veni, University of Utah.
- Multimaterial meshing: Surface and volumetric meshing of multimaterial volumes with output surface triangles viewable within Slicer. Contact: Jonathan Bronson, University of Utah.
- Interactive segmentation: Control based interactive segmentation module, allowing users to use feedback and observer based principles to drive active contours to equilibrium position and capture desired features. Contact: Ivan Kolesov, SUNY Stony Brook.
- Sobolev active contours: Robust implementation of the active contour methodology using a Sobolev norm, giving much better results in the presence of noise. Contact: Arie Nakhmani, UAB.
