Accelerating simultaneous algebraic reconstruction technique with motion compensation using CUDA-enabled GPU
Spatial Media Group, Computer Arts Lab, University of Aizu, Aizuwakamatsu, Japan
International Journal of Computer Assisted Radiology and Surgery (30 June 2010)
@article{pangaccelerating,
title={Accelerating simultaneous algebraic reconstruction technique with motion compensation using CUDA-enabled GPU},
author={Pang, W.M. and Qin, J. and Lu, Y. and Xie, Y. and Chui, C.K. and Heng, P.A.},
journal={International Journal of Computer Assisted Radiology and Surgery},
pages={1–13},
issn={1861-6410},
publisher={Springer}
}
PURPOSE: To accelerate the simultaneous algebraic reconstruction technique (SART) with motion compensation for speedy and quality computed tomography reconstruction by exploiting CUDA-enabled GPU. METHODS: Two core techniques are proposed to fit SART into the CUDA architecture: (1) a ray-driven projection along with hardware trilinear interpolation, and (2) a voxel-driven back-projection that can avoid redundant computation by combining CUDA shared memory. We utilize the independence of each ray and voxel on both techniques to design CUDA kernel to represent a ray in the projection and a voxel in the back-projection respectively. Thus, significant parallelization and performance boost can be achieved. For motion compensation, we rectify each ray
November 17, 2010 by hgpu
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