CT local reconstruction of solid rocket motor based on PI-POCS-TVM
doi: 10.13224/j.cnki.jasp.2017.02.027
CT local reconstruction of solid rocket motor based on PI-POCS-TVM
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摘要: In order to test the defects of solid rocket motor (SRM) accurately and efficiently, the computed tomography (CT) inspection scheme for SRMs defects was investigated and a CT local reconstruction algorithm called prior informationprojection onto convex setstotal variation minimization (PI-POCS-TVM) was developed. The SRM was first inspected by industrial CT (ICT) to generate a lowresolution SRM image used as the prior information, then highresolution local inspection was carried out for SRM's defects. To validate the effectiveness of the CT inspection scheme for SRMs defects, one SRM was inspected by a narrow fan beam ICT system. Filtered back projection (FBP) algorithm, POCS, POCS-TVM and PI-POCS-TVM algorithms were applied to reconstruct CT images. The performance of these algorithms was also compared. Results demonstrated the effectiveness of the CT inspection scheme for SRM's defects. Moreover, the PI-POCS-TVM algorithm has better local reconstruction image quality than the other three algorithms, showing great significance for accurate measurement of SRM's defects.Abstract: In order to test the defects of solid rocket motor (SRM) accurately and efficiently, the computed tomography (CT) inspection scheme for SRM's defects was investigated and a CT local reconstruction algorithm called prior informationprojection onto convex setstotal variation minimization (PI-POCS-TVM) was developed. The SRM was first inspected by industrial CT (ICT) to generate a lowresolution SRM image used as the prior information, then highresolution local inspection was carried out for SRM's defects. To validate the effectiveness of the CT inspection scheme for SRM's defects, one SRM was inspected by a narrow fan beam ICT system. Filtered back projection (FBP) algorithm, POCS, POCS-TVM and PI-POCS-TVM algorithms were applied to reconstruct CT images. The performance of these algorithms was also compared. Results demonstrated the effectiveness of the CT inspection scheme for SRM's defects. Moreover, the PI-POCS-TVM algorithm has better local reconstruction image quality than the other three algorithms, showing great significance for accurate measurement of SRM's defects.
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[1] LU Hongyi,YANG Xinggen,CHENG Weiping.Local tomography inspecting investigation for inner crack of SRM[J].Journal of Propulsion Technology,2003,24(3):251-253.(in Chinese) [2] CHEN Qinggui,LU Hongyi,ZHOU Yuan,et al.Direct reconstruction algorithm for narrow fanbeam CT projections of solid rocket motor[J].Journal of Solid Rocket Technology,2015,38(4):591-594.(in Chinese) [3] CHEN Qinggui,LU Hongyi,ZHOU Yuan,et al.ICT local inspection of solid rocket motors defects[J].Journal of Aerospace Power,2015,30(9):2291-2297.(in Chinese) [4] Wang G,Yu H Y.The meaning of interior tomography[J].Physics in Medicine and Biology,2013,58(16):161-186. [5] Ye Y B,Yu H Y,Wei Y C,et al.A general local reconstruction approach based on a truncated Hilbert transform[J].International Journal of Biomedical Imaging,2007(1):1-8. [6] Kudo H,Courdurier M,Noo F,et al.Tiny a prior knowledge solves the interior problem in computed tomography[J].Physics in Medicine and Biology,2008,6(9):4068-4075. [7] Li L,Kang K J,Chen Z Q,et al.A general regionofinterest image reconstruction approach with truncated Hilbert transform[J].Journal of XRay Science and Technology,2009,17(2):135-152. [8] Yu H Y,Wang G.Compressed sensing based interior tomography[J].Physics in Medicine and Biology,2009,54(9):2791-2805. [9] RashidRarrokhi F,Liu K J,Berenstein C A,et al.Waveletbased multiresolution local tomography[J].IEEE Transactions on Image Processing,1997,6(10):1412-1430. [10] Zhao S R,Welland G V,Wang G.Wavelet sampling and localization schemes for the Radon transform in two dimensions[J].SIAM Journal on Applied Mathematics,1997,57(6):1749-1762. [11] Katsevich A I.Local tomography for the limitedangle problem[J].Journal of Mathematical Analysis and Applications,1997,213(1):160-182. [12] Yu H Y,Wang G.A general formula for fanbeam lambda tomography[J].International Journal of Biomedical Imaging,2006(11):1-9. [13] Quinto E T,Skoglund U,Oktem O.Electron lambdatomography[J].Proceedings of the National Academy of Sciences,2009,106(51):21842-21847. [14] Cormack A M.Representation of a function by its line integrals,with some radiological applications[J].Journal of Applied Physics,2004,34(9):2722-2727. [15] Cormack A M.Representation of a function by its line integrals,with some radiological applicationsⅡ[J].Journal of Applied Physics,1964,35(10):2908-2913. [16] Quinto E T.Singular value decompositions and inversion methods for the exterior Radon transform and a spherical transform[J].Journal of Mathematical Analysis and Applications,1983,95(2):437-448. [17] Quinto E T.Local algorithms in exterior tomography[J].Journal of Computational and Applied Mathematics,2007,199(1):141-148. [18] Nassi M,Brody W R,Medoff B P,et al.Iterative reconstructionreprojection:an algorithm for limited data cardiaccomputed tomography[J].IEEE Transactions on Biomedical Engineering,1982,29(5):333-341. [19] Kim J H,Kwak K Y,Park S B,et al.Projection space iteration reconstructionreprojection[J].IEEE Transactions on Medical Imaging,1985,4(3):139-143. [20] Xiong L,Zhang L,Chen Z Q,et al.Investigation into tangentialCT reconstruction algorithm[J].Computed to mography (CT) Theory and Applications,2007,16(1):10-18.(in Chinese) [21] Zeng L,Liu B D,Liu L H,et al.A new iterative reconstruction algorithm for 2D exterior fanbeam CT[J].Journal of XRay Science and Technology,2010,18(3):267-277. [22] ZHAO Ziran,KANG Kejun,CHEN Zhiqiang,et al.Realtime reconstruction and inspection scheme used in high resolution industry CT[J].Journal of Tsinghua University:Science and Technology,2002,42(8):1001-1004.(in Chinese) [23] Fu J,Jiang B H,Li B.Large field of view computed laminography with the asymmetric rotational scanning geometry[J].Science China Technological Sciences,2010,53(8):2261-2271. [24] Zhao Y,Feng J,Zhang B C,et al.Current progress in sparse signal processing applied to radar imaging[J].Science China Technological Sciences,2013,56(12):3049-3054. [25] Sidky E Y,Kao C M,Pan X C.Accurate image reconstruction from fewviews and limitedangle data in divergentbeam CT[J].Journal of XRay Science and Technology,2006,14(2):119-139.
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