2009 Sixth International Conference on Computer Graphics, Imaging and Visualization (2009)
Aug. 11, 2009 to Aug. 14, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CGIV.2009.18
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.
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.