A rapid parallelization of cone-beam projection and back-projection operator based on texture fetching interpolation

Lizhe Xie; Yining Hu; Yang Chen; Luyao Shi

doi:10.1117/12.2082006

18 March 2015 A rapid parallelization of cone-beam projection and back-projection operator based on texture fetching interpolation

Lizhe Xie, Yining Hu, Yang Chen, Luyao Shi

Author Affiliations +

Proceedings Volume 9412, Medical Imaging 2015: Physics of Medical Imaging; 94122S (2015) https://doi.org/10.1117/12.2082006
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

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.

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Lizhe Xie, Yining Hu, Yang Chen, and Luyao Shi "A rapid parallelization of cone-beam projection and back-projection operator based on texture fetching interpolation", Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94122S (18 March 2015); https://doi.org/10.1117/12.2082006

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