Proceedings Paper
A rapid parallelization of cone-beam projection and back-projection operator based on texture fetching interpolation| Format | Member Price | Non-Member Price |
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Paper Abstract
Projection and back-projection are the most computational consuming parts in Computed Tomography (CT) reconstruction. Parallelization strategies using GPU computing techniques have been introduced. We in this paper present a new parallelization scheme for both projection and back-projection. The proposed method is based on CUDA technology carried out by NVIDIA Corporation. Instead of build complex model, we aimed on optimizing the existing algorithm and make it suitable for CUDA implementation so as to gain fast computation speed. Besides making use of texture fetching operation which helps gain faster interpolation speed, we fixed sampling numbers in the computation of projection, to ensure the synchronization of blocks and threads, thus prevents the latency caused by inconsistent computation complexity. Experiment results have proven the computational efficiency and imaging quality of the proposed method.
Paper Details
Date Published: 18 March 2015
PDF: 7 pages
Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94122S (18 March 2015); doi: 10.1117/12.2082006
Published in SPIE Proceedings Vol. 9412:
Medical Imaging 2015: Physics of Medical Imaging
Christoph Hoeschen; Despina Kontos, Editor(s)
PDF: 7 pages
Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94122S (18 March 2015); doi: 10.1117/12.2082006
Show Author Affiliations
Lizhe Xie, Nanjing Medical Univ. (China)
Yining Hu, Ctr. de Recherche en Information Biomedicale Sino-Francais (China)
Key Lab. of Computer Network and Information Integration (China)
Yining Hu, Ctr. de Recherche en Information Biomedicale Sino-Francais (China)
Key Lab. of Computer Network and Information Integration (China)
Yang Chen, Ctr. de Recherche en Information Biomedicale Sino-Francais (China)
Key Lab. of Computer Network and Information Integration (China)
Univ. of Wisconsin, Madison (United States)
Luyao Shi, Ctr. de Recherche en Information Biomedicale Sino-Francais (China)
Univ. of Wisconsin, Madison (United States)
Key Lab. of Computer Network and Information Integration (China)
Univ. of Wisconsin, Madison (United States)
Luyao Shi, Ctr. de Recherche en Information Biomedicale Sino-Francais (China)
Univ. of Wisconsin, Madison (United States)
Published in SPIE Proceedings Vol. 9412:
Medical Imaging 2015: Physics of Medical Imaging
Christoph Hoeschen; Despina Kontos, Editor(s)
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