Fast projection algorithm for lim-based simultaneous algebraic reconstruction technique and its parallel implementation on gpu | |
Zhang, Shunli1; Geng, Guohua1; Cao, Guohua2; Zhang, Yuhe1; Liu, Baodong3,4; Dong, Xu2 | |
刊名 | Ieee access |
2018 | |
卷号 | 6页码:23007-23018 |
关键词 | Computed tomography Image reconstruction Simultaneous algebraic reconstruction technique (sart) Forward projection Back projection Gpu |
ISSN号 | 2169-3536 |
DOI | 10.1109/access.2018.2829861 |
通讯作者 | Zhang, yuhe(zhangyuhe0601@nwu.edu.cn) |
英文摘要 | Simultaneous algebraic reconstruction technique (sart) is a well-known iterative method in x-ray computed tomography, which provides better image quality than analytical methods when dealing with incomplete or noisy data. the disadvantage of sart is the slow speed compared with the analytical methods. since forward projection and backprojection are two major time-consuming operations in iterative reconstruction, we propose an algorithm for fast forward projection and improved backprojection for the line integral model-based sart. using the proposed algorithm, the sart method was implemented on a gpu platform with nvidia's parallel computing architecture. both computer simulations and physical phantom experiments were carried out, and their results show that our approach is highly efficient and accurate. the computation time for the system matrix using our proposed projector is 10 times faster than that using the siddon's projector, and our improved backprojection algorithm is 1.5 times faster than li's method in determining the minimum bounding interval. the gpu-based sart using our proposed projection algorithm can obtain about 7.4 times reconstruction speed-up compared with that using the traditional projection approach, while preserving the accuracy of the results. |
WOS关键词 | CONE-BEAM CT ; X-RAY ; TECHNIQUE SART ; COMPUTED-TOMOGRAPHY ; ART ; CONVERGENCE ; SCHEME |
WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
WOS类目 | Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications |
语种 | 英语 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
WOS记录号 | WOS:000432922200001 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2177514 |
专题 | 高能物理研究所 |
通讯作者 | Zhang, Yuhe |
作者单位 | 1.Northwest Univ, Sch Informat Sci & Technol, Xian 710127, Shaanxi, Peoples R China 2.Virginia Tech, Dept Biomed Engn & Mech, Blacksburg, VA 24061 USA 3.Chinese Acad Sci, Beijing Engn Res Ctr Radiog Tech & Equipment, Inst High Energy Phys, Beijing 100049, Peoples R China 4.Univ Chinese Acad Sci, Sch Nucl Sci & Technol, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Shunli,Geng, Guohua,Cao, Guohua,et al. Fast projection algorithm for lim-based simultaneous algebraic reconstruction technique and its parallel implementation on gpu[J]. Ieee access,2018,6:23007-23018. |
APA | Zhang, Shunli,Geng, Guohua,Cao, Guohua,Zhang, Yuhe,Liu, Baodong,&Dong, Xu.(2018).Fast projection algorithm for lim-based simultaneous algebraic reconstruction technique and its parallel implementation on gpu.Ieee access,6,23007-23018. |
MLA | Zhang, Shunli,et al."Fast projection algorithm for lim-based simultaneous algebraic reconstruction technique and its parallel implementation on gpu".Ieee access 6(2018):23007-23018. |
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