Improving Deformable Surface Meshes through Omni-Directional Displacements and MRFs
Deformable surface models are often represented as triangular meshes in image segmentation applications. For a fast and easily regularized deformation onto the target object boundary, the vertices of the mesh are commonly moved along line segments (typically surface normals). However, in case of high mesh curvature, these lines may intersect with the target boundary at “non-corresponding positions, or even not at all. Consequently, certain deformations cannot be achieved. We propose an approach that allows each vertex to move not only along a line segment, but within a surrounding sphere. We achieve globally regularized deformations via Markov Random Field optimization. We demonstrate the potential of our approach with experiments on synthetic data, as well as an evaluation on 2x106 coronoid processes of the mandible in Cone-Beam CTs, and 56 coccyxes (tailbones) in low-resolution CTs.
D.Kainmueller H.Lamecker H.Seim S.Zachow H.-C.Hege
Zuse Institute Berlin, Germany
国际会议
北京
英文
227-234
2010-09-01（万方平台首次上网日期，不代表论文的发表时间）