中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Fast projection algorithm for lim-based simultaneous algebraic reconstruction technique and its parallel implementation on gpu

文献类型:期刊论文

作者Zhang, Shunli1; Geng, Guohua1; Cao, Guohua2; Zhang, Yuhe1; Liu, Baodong3,4; Dong, Xu2
刊名Ieee access
出版日期2018
卷号6页码:23007-23018
ISSN号2169-3536
关键词Computed tomography Image reconstruction Simultaneous algebraic reconstruction technique (sart) Forward projection Back projection Gpu
DOI10.1109/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
URI标识http://www.irgrid.ac.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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来源:高能物理研究所

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