title: SpringLS: a deformable model representation to provide interoperability between meshes and level sets.
abstract: A new type of deformable model is presented that merges meshes and level sets into one representation to provide interoperability between methods designed for either. The key idea is to use a constellation of triangular surface elements (springls) to define a level set. A Spring Level Set (SpringLS) can be interpreted as a mesh or level set and used in place of them in many instances. There is no loss of shape information in the transformation from triangle mesh or level set into SpringLS. As examples, we present results for joint segmentation/spherical mapping of a human brain cortex and atlas/non-atlas segmentation of a pelvis.
authors: Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA. blake@cs.jhu.edu
authors: Blake C
authors: BC
authors: Lucas
authors: Michael
authors: M
authors: Kazhdan
authors: Russell H
authors: RH
authors: Taylor
mesh_terms: D000465:Algorithms; D001931:Brain Mapping / Q000379:methods*; D002540:Cerebral Cortex / Q000473:pathology*; D003627:Data Interpretation, Statistical; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D008953:Models, Anatomic; D015233:Models, Statistical; D010363:Pattern Recognition, Automated / Q000379:methods*; D010388:Pelvis / Q000473:pathology*; D012984:Software