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Proceedings Paper

A study on the GPU based parallel computation of a projection image
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Paper 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.

Paper Details

Date Published: 10 May 2017
PDF: 4 pages
Proc. SPIE 10219, Three-Dimensional Imaging, Visualization, and Display 2017, 1021916 (10 May 2017); doi: 10.1117/12.2267280
Show Author Affiliations
Hyunjeong Lee, Ewha Womans Univ. (Korea, Republic of)
Miseon Han, Ewha Womans Univ. (Korea, Republic of)
Jeongtae Kim, Ewha Womans Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 10219:
Three-Dimensional Imaging, Visualization, and Display 2017
Bahram Javidi; Jung-Young Son; Osamu Matoba, Editor(s)

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