title: Topology guided demons registration with local rigidity preservation.
abstract: Demons has been well recognized for its deformable registration capability. However, it might lead to misregistration due to the large spatial distance between the expected corresponding contents or erroneous diffusion tendency. In this paper, we propose a new energy function with topology energy, distance function and demons energy for deformable registration. The new energy function incorporates topological relationships to guide the correct diffusion and deformation, and contributes to local rigidity preservation. The distance function contributes to pulling the corresponding regions into accurate alignment despite of a possible large distance gap. The method was validated on synthetic, phantom and real medical image data.
authors.lastname: Chaojie Zheng
authors.lastname: Xiuying Wang
authors.lastname: Dagan Feng
mesh_terms: D000465:Algorithms; D003952:Diagnostic Imaging / Q000379:methods*; D006801:Humans; D008962:Models, Theoretical; D019047:Phantoms, Imaging