This paper presents a Bayesian framework for generating inverse-consistent inter-subject large deformation transformations between two multi-modal image sets of the brain. In this...
A number of problems frequently encountered in brain image analysis can be conveniently solved within a registration framework, such as alignment of mono- or multi-sequence Magnet...
We propose a multimodal free form registration algorithm based on maximization of mutual information. Images to be aligned are modeled as a viscous fluid that deforms under the inf...
Emiliano D'Agostino, Frederik Maes, Dirk Vandermeu...
In this work, we propose a novel method for deformable tensor?to?tensor registration of Diffusion Tensor Images. Our registration method models the distances in between the tensors...
M. Okan Irfanoglu, Raghu Machiraju, Steffen Samm...
This paper proposes a new interactive hybrid non-rigid registration framework that combines any intensity-based algorithm with a feature-based component, using an iterative dual e...
Antoine Azar, Chenyang Xu, Xavier Pennec, Nicholas...