TY - GEN
T1 - Discrete symmetric image registration
AU - Sotiras, Aristeidis
AU - Paragios, Nikos
PY - 2012
Y1 - 2012
N2 - Image registration is in principle a symmetric problem. Nonetheless, most intensity-based non-rigid algorithms are asymmetric. In this paper, we propose a novel symmetric deformable registration algorithm formulated in a Markov Random Fields framework where both images are let to deform towards a common domain that lies halfway between two image domains. A grid-based deformation model is employed and the latent variables correspond to the displacements of the grid-nodes towards both image domains. First-order interactions between the unknown variables model standard smoothness priors. Efficient linear programming is consider to recover the optimal solution. The discrete nature of our algorithm allows the handling of both mono- and multi-modal registration problems. Promising experimental results demonstrate the potentials of our approach.
AB - Image registration is in principle a symmetric problem. Nonetheless, most intensity-based non-rigid algorithms are asymmetric. In this paper, we propose a novel symmetric deformable registration algorithm formulated in a Markov Random Fields framework where both images are let to deform towards a common domain that lies halfway between two image domains. A grid-based deformation model is employed and the latent variables correspond to the displacements of the grid-nodes towards both image domains. First-order interactions between the unknown variables model standard smoothness priors. Efficient linear programming is consider to recover the optimal solution. The discrete nature of our algorithm allows the handling of both mono- and multi-modal registration problems. Promising experimental results demonstrate the potentials of our approach.
KW - MRF
KW - Symmetry
KW - de-formable registration
KW - discrete optimization
UR - http://www.scopus.com/inward/record.url?scp=84864829826&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2012.6235554
DO - 10.1109/ISBI.2012.6235554
M3 - Conference contribution
AN - SCOPUS:84864829826
SN - 9781457718588
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 342
EP - 345
BT - 2012 9th IEEE International Symposium on Biomedical Imaging
T2 - 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012
Y2 - 2 May 2012 through 5 May 2012
ER -