Parallel computation of mutual information on the GPU with application to real-time registration of 3D medical images
Due to processing constraints, automatic image-based registration of medical images has been largely used as a pre-operative tool. We propose a novel method named sort and count for efficient parallelization of mutual information (MI) computation designed for massively multi-processing architectures. Combined with a parallel transformation implementation and an improved optimization algorithm, our method achieves real-time (less than 1. s) rigid registration of 3D medical images using a...[Show more]
|Collections||ANU Research Publications|
|Source:||Computer Methods and Programs in Biomedicine|
|01_Shams_Parallel_computation_of_mutual_2009.pdf||1.56 MB||Adobe PDF||Request a copy|
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