Using undersampled k-space data for reconstruction is an effective way to accelerate data acquisition of magnetic resonance imaging (MRI). With the development of compressed sensing (CS) theory, many solutions have been proposed for undersampled data ...
Compute unified device architecture (CUDA) is a software development platform that allows us to run C-like programs on the nVIDIA graphics processing unit (GPU). This paper presents an acceleration method for cone beam reconstruction using CUDA ...
Graphics processors (GPUs) provide a vast number of simple, data-parallel, deeply multithreaded cores and high memory bandwidths. GPU architectures are becoming increasingly programmable, offering the potential for dramatic speedups for a variety of ...
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