Fast Projection Algorithm for LIM-Based Simultaneous Algebraic Reconstruction Technique and Its Parallel Implementation on GPU

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dc.contributor.authorZhang, Shunlien
dc.contributor.authorGeng, Guohuaen
dc.contributor.authorCao, Guohuaen
dc.contributor.authorZhang, Yuheen
dc.contributor.authorLiu, Baodongen
dc.contributor.authorDong, Xuen
dc.contributor.departmentBiomedical Engineering and Mechanicsen
dc.date.accessioned2019-05-14T13:16:38Zen
dc.date.available2019-05-14T13:16:38Zen
dc.date.issued2018en
dc.description.abstractSimultaneous 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.en
dc.description.notesThis work was supported in part by the National Natural Science Foundation of China under Grant 61772421, Grant 61572400, Grant 61731015, and Grant 61602380, and in part by the National Key Research and Development Program of China under Grant 2017YFF0107201. The work of G. Cao and X. Dong was supported from the U.S. National Science Foundation under Grant CBET 1351936.en
dc.description.sponsorshipNational Natural Science Foundation of China [61772421, 61572400, 61731015, 61602380]; National Key Research and Development Program of China [2017YFF0107201]; U.S. National Science Foundation [CBET 1351936]en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2018.2829861en
dc.identifier.eissn2169-3536en
dc.identifier.urihttp://hdl.handle.net/10919/89511en
dc.identifier.volume6en
dc.language.isoenen
dc.publisherIEEEen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectComputed tomographyen
dc.subjectimage reconstructionen
dc.subjectsimultaneous algebraic reconstruction technique (SART)en
dc.subjectforward projectionen
dc.subjectback projectionen
dc.subjectGPUen
dc.titleFast Projection Algorithm for LIM-Based Simultaneous Algebraic Reconstruction Technique and Its Parallel Implementation on GPUen
dc.title.serialIEEE Accessen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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