Accelerating simultaneous algebraic reconstruction technique with motion compensation using CUDA-enabled GPU
文献类型：期刊论文
| 作者 | Wai-Man Pang; Jing Qin; Yuqiang Lu; Yongming Xie; Chee-Kong Chui; Pheng-Ann Heng |
| 刊名 | INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
 |
| 出版日期 | 2011 |
| 卷号 | 6期号:2页码:187-199 |
| 英文摘要 | 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's direction during the projection and back-projection stages based on a known motion vector field. Results Extensive experiments demonstrate the proposed techniques can provide faster reconstruction without compromising image quality. The process rate is nearly 100 projections s(-1), and it is about 150 times faster than a CPU-based SART. The reconstructed image is compared against ground truth visually and quantitatively by peak signal-to-noise ratio (PSNR) and line profiles. We further evaluate the reconstruction quality using quantitative metrics such as signal-to-noise ratio (SNR) and mean-square-error (MSE). All these reveal that satisfactory results are achieved. The effects of major parameters such as ray sampling interval and relaxation parameter are also investigated by a series of experiments. A simulated dataset is used for testing the effectiveness of our motion compensation technique. The results demonstrate our reconstructed volume can eliminate undesirable artifacts like blurring |
| 收录类别 | SCI |
| 原文出处 | http://www.springerlink.com/content/y22v3pgk866l6677/ |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3209]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY |
| 推荐引用方式 GB/T 7714 | Wai-Man Pang,Jing Qin,Yuqiang Lu,et al. Accelerating simultaneous algebraic reconstruction technique with motion compensation using CUDA-enabled GPU[J]. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY,2011,6(2):187-199. |
| APA | Wai-Man Pang,Jing Qin,Yuqiang Lu,Yongming Xie,Chee-Kong Chui,&Pheng-Ann Heng.(2011).Accelerating simultaneous algebraic reconstruction technique with motion compensation using CUDA-enabled GPU.INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY,6(2),187-199. |
| MLA | Wai-Man Pang,et al."Accelerating simultaneous algebraic reconstruction technique with motion compensation using CUDA-enabled GPU".INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY 6.2(2011):187-199. |
入库方式： OAI收割
来源：深圳先进技术研究院
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