10 May 2017 A study on the GPU based parallel computation of a projection image
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Abstract
Fast computation of projection images is crucial in many applications such as medical image reconstruction and light field image processing. To do that, parallelization of the computation and efficient implementation of the computation using a parallel processor such as GPGPU (General-Purpose computing on Graphics Processing Units) is essential. In this research, we investigate methods for parallel computation of projection images and efficient implementation of the methods using CUDA (Compute Unified Device Architecture). We also study how to efficiently use the memory of GPU for the parallel processing.
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Hyunjeong Lee, Miseon Han, Jeongtae Kim, "A study on the GPU based parallel computation of a projection image", Proc. SPIE 10219, Three-Dimensional Imaging, Visualization, and Display 2017, 1021916 (10 May 2017); doi: 10.1117/12.2267280; https://doi.org/10.1117/12.2267280
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