Dense deformation field estimation for brain intraoperative images registration

De Craene, M.S. Du Bois d'Aische, Aloys [UCL] Talos, I.-F. Ferrant, M. Black, P.M. Jolesz, F. Kikinis, R. Macq, Benoît [UCL] Warfield, S.K. et al.[show all]

A new fast non rigid registration algorithm is presented. The algorithm estimates a dense deformation field by optimizing a criterion that measures image similarity by mutual information and regularizes with a linear elastic energy term. The optimal deformation field is found using a Simultaneous Perturbation Stochastic Approximation to the gradient. The implementation is parallelized for symmetric multi-processor architectures. This algorithm was applied to capture non-rigid brain deformations that occur during neurosurgery. Segmentation of the intra-operative data is not required but preoperative segmentation of the brain allows the algorithm to be robust to artifacts due to the craniotomy.