We present a robust approach to perform 3D nonrigid image registration suitable for large deformation and develop a software named DTHB3D_Reg. The optimum spatial transformation, defined using truncated hierarchical B-splines, is obtained through the minimization of an energy functional. An adaptive strategy carries out refinement only in the regions with large deformation. The proposed method is demonstrated on medical images to show robustness on topology change as compared to other image registration methods.

This presentation is part of Minisymposium “MS47 - Splines in Imaging (3 parts)”
organized by: Carolina Beccari (Dept. Mathematics, University of Bologna) , Virginie Uhlmann (EPFL, Lausanne) , Michael Unser (EPFL, Lausanne) .

Authors:

Aishwarya Pawar (Department of Mechanical Engineering, Carnagie Mellon University, Pittsburgh)

Jessica Zhang (Department of Mechanical Engineering, Carnagie Mellon University, Pittsburgh)

Cosmin Anitescu (University of Weimar)

Yue Jia (Northwestern Polytechnical University)

Timon Rabczuk (University of Weimar)

Keywords:

3d nonrigid image registration, adaptive refinement, computer vision, dynamic scheme, image registration, integral equations for image analysis, partial differential equation models, topology change, truncated hierarchical b-spline