Lucas Blake C, Kazhdan Michael, Taylor Russell H
Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA.
Med Image Comput Comput Assist Interv. 2011;14(Pt 2):442-50. doi: 10.1007/978-3-642-23629-7_54.
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.
提出了一种新型的可变形模型，该模型将网格和水平集合并为一种表示形式，以在为其中任何一种设计的方法之间提供互操作性。关键思想是使用一组三角形表面元素（弹簧元）来定义一个水平集。弹簧水平集（SpringLS）可以解释为一个网格或水平集，并在许多情况下替代它们使用。从三角形网格或水平集转换为SpringLS时不会丢失形状信息。作为示例，我们展示了人类大脑皮层的联合分割/球面映射以及骨盆的图谱/非图谱分割的结果。
