Difference between revisions of "Algorithm:SlicerModules"
From NAMIC Wiki
Line 9: | Line 9: | ||
* 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. | * 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. | ||
+ | |||
+ | * Model-based RSS for left atrium segmentation: RSS integrated with a shape prior that is specifically desgined for segmentating the left atrium from MR images. Contact: Liangjia Zhu, SUNY Stony Brook. | ||
+ | |||
+ | * Left atrial scar segmentation: Given the endocardium of the left atrium, this module automatically extract the scarring tissue. Contact: Liangjia Zhu, SUNY Stony Brook. |
Revision as of 03:14, 1 September 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.
- Model-based RSS for left atrium segmentation: RSS integrated with a shape prior that is specifically desgined for segmentating the left atrium from MR images. Contact: Liangjia Zhu, SUNY Stony Brook.
- Left atrial scar segmentation: Given the endocardium of the left atrium, this module automatically extract the scarring tissue. Contact: Liangjia Zhu, SUNY Stony Brook.