Parallel computation of mutual information on the GPU with application to real-time registration of 3D medical images

This work proposes a novel method named sort and count for efficient parallelization of mutual information (MI) computation designed for massively multi-processing architectures that achieves real-time (less than 1s) rigid registration of 3D medical images using a commodity graphics processing unit (GPU).