1 research outputs found
RANCOR: Non-Linear Image Registration with Total Variation Regularization
Optimization techniques have been widely used in deformable registration,
allowing for the incorporation of similarity metrics with regularization
mechanisms. These regularization mechanisms are designed to mitigate the
effects of trivial solutions to ill-posed registration problems and to
otherwise ensure the resulting deformation fields are well-behaved. This paper
introduces a novel deformable registration algorithm, RANCOR, which uses
iterative convexification to address deformable registration problems under
total-variation regularization. Initial comparative results against four
state-of-the-art registration algorithms are presented using the Internet Brain
Segmentation Repository (IBSR) database.Comment: 9 pages, 1 figure, technical not