中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Accelerating Algebraic Reconstruction Using CUDA-Enabled GPU

文献类型:会议论文

作者Yuqiang Lu; Weiming Wang; Shifu Chen; Yongming Xie; Jing Qin; Wai-Man Pang
出版日期2009
会议名称2009 6th International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends, CGIV2009
会议地点Qingdao, China
英文摘要In this paper, we apply the Compute Unified Device Architecture (CUDA) to the 3D cone-beam CT reconstruction using Simultaneous AlgebraicReconstruction 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 1283 volume from 80 1282 projections, without compromising image quality. Our proposed method realizes the instantaneous presentation of CT volume to the physician once projection images are acquired
收录类别EI
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/2435]  
专题深圳先进技术研究院_集成所
作者单位2009
推荐引用方式
GB/T 7714
Yuqiang Lu,Weiming Wang,Shifu Chen,et al. Accelerating Algebraic Reconstruction Using CUDA-Enabled GPU[C]. 见:2009 6th International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends, CGIV2009. Qingdao, China.

入库方式: OAI收割

来源:深圳先进技术研究院

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