Using Dynamic Programming for Solving Variational Problems in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Graph-Based Image Segmentation
International Journal of Computer Vision
A Multilevel Method for Image Registration
SIAM Journal on Scientific Computing
Graph Cuts and Efficient N-D Image Segmentation
International Journal of Computer Vision
Hierarchical vs. simultaneous multiresolution strategies for nonrigid image registration
WBIR'12 Proceedings of the 5th international conference on Biomedical Image Registration
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Deformable image registration is a challenging problem. Current solutions either have a high computational load or suffer from weak regularization. We propose a graph-based deformable registration technique that exploits dynamic programming to optimally solve a discrete multi-resolution formulation. It allows the use of regular similarity metrics known in literature and incorporation of local deformation models. We explain the theoretical framework behind the optimization and show results of registrations on synthetically deformed 2D brain CT images, with and without the multiresolution deformation model. The proposed method shows the effectiveness of the optimal multi-resolution optimization and the promises for future extension to 3D.