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2009 Sixth International Conference on Computer Graphics, Imaging and Visualization (2009)
Tianjin, China
Aug. 11, 2009 to Aug. 14, 2009
ISBN: 978-0-7695-3789-4
pp: 480-485
ABSTRACT
In this paper, we apply the Compute Unified Device Architecture (CUDA) to the 3D cone-beam CT reconstruction using Simultaneous Algebraic Reconstruction Technique (SART). With the hardware acceleration, the computationally complex SART can run at speed comparable to the commonly used Filtered Back-Projection, and provide even better quality volume with less samples. The main contributions include two novel techniques to accelerate the reconstruction. We introduce a ray-driven projection along with hardware built-in trilinear interpolation, as well as a voxel-driven back-projection that can avoid redundant computation by combining CUDA shared memory. Significant performance boost is reported from experiments using our techniques. A real-time reconstruction is achieved within 3 seconds for a 128*128*128 volume from 80 128*128 projections, without compromising image quality. Our proposed method realizes the instantaneous presentation of CT volume to the physician once projection images are acquired.
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CITATION

P. Heng et al., "Accelerating Algebraic Reconstruction Using CUDA-Enabled GPU," 2009 Sixth International Conference on Computer Graphics, Imaging and Visualization(CGIV), Tianjin, China, 2009, pp. 480-485.
doi:10.1109/CGIV.2009.18
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