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Accelerating simultaneous algebraic reconstruction technique with motion compensation using CUDA-enabled GPU

Wai-Man Pang, Jing Qin, Yuqiang Lu, Yongming Xie, Chee-Kong Chui, Pheng-Ann Heng
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}

}

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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
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