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...
We propose a novel Bayesian registration formulation in which image location is represented as a latent random variable. Location is marginalized to determine the maximum a priori ...
Abstract. An extension of the normalized mutual information similarity measurement was proposed to register cardiac PET/CT and SPECT images representing coronary artery disease in ...
A method for processing images prior to normalized mutual information based registration and an enhancement of the registration measure are presented. The method relies on k-means ...
Zeger F. Knops, J. B. Antoine Maintz, Max A. Vierg...