Acta Optica Sinica, Volume. 44, Issue 9, 0934001(2024)
X-Ray Three-Dimensional Reconstruction Algorithm of Plate-Like Objects Based on Filter Path Transformation
[1] Liu H X, Zhao Y M, Zhang C L et al. Study on tooth cone beam CT image reconstruction based on improved U-net network[J]. Chinese Journal of Lasers, 49, 2407207(2022).
[2] Yang Q, Zhao Y Q, Zhang F et al. Liver segmentation from CT volumes based on spatial fuzzy C-means and graph cuts[J]. Laser & Optoelectronics Progress, 59, 1217002(2022).
[3] Wang H F, Ma S Q, Min L et al. Lung CT image enhancement based on image segmentation and total variational[J]. Chinese Journal of Lasers, 49, 2007210(2022).
[4] Yang P, Zhang X, Wen F et al. Pulmonary nodule computed tomography image classification method based on dual-path cross-fusion network[J]. Laser & Optoelectronics Progress, 61, 0810002(2024).
[5] Oppermann M, Zerna T. High resolution X-ray CT for advanced electronics packaging[C], 36, 130005(2017).
[6] Villaraga-Gómez H, Bell J D. Modern 2D & 3D X-ray technologies for testing and failure analysis[C], 14-19(2019).
[7] Bauer W, Bessler F T, Zabler E et al. Computer tomography for nondestructive testing in the automotive industry[J]. Proceedings of SPIE, 5535, 464-472(2004).
[8] Pietsch P, Wood V. X-ray tomography for lithium ion battery research: a practical guide[J]. Annual Review of Materials Research, 47, 451-479(2017).
[9] Cnudde V, Boone M N. High-resolution X-ray computed tomography in geosciences: a review of the current technology and applications[J]. Earth Science Reviews, 123, 1-17(2013).
[10] Zuber M, Laaß M, Hamann E et al. Augmented laminography, a correlative 3D imaging method for revealing the inner structure of compressed fossils[J]. Scientific Reports, 7, 41413(2017).
[11] Vásárhelyi L, Kónya Z, Kukovecz Á et al. Microcomputed tomography-based characterization of advanced materials: a review[J]. Materials Today Advances, 8, 100084(2020).
[12] du Plessis A, Yadroitsev I, Yadroitsava I et al. X-ray microcomputed tomography in additive manufacturing: a review of the current technology and applications[J]. 3D Printing and Additive Manufacturing, 5, 227-247(2018).
[13] O'Brien N S, Boardman R P, Sinclair I et al. Recent advances in X-ray cone-beam computed laminography[J]. Journal of X-Ray Science and Technology, 24, 691-707(2016).
[14] Sun L, Zhou G J, Qin Z R et al. A reconstruction method for cone-beam computed laminography based on projection transformation[J]. Measurement Science and Technology, 32, 045403(2021).
[15] Feldkamp L A, Davis L C, Kress J W. Practical cone-beam algorithm[J]. Journal of the Optical Society of America A, 1, 612-619(1984).
[16] Tuy H K. An inversion formula for cone-beam reconstruction[J]. SIAM Journal on Applied Mathematics, 43, 546-552(1983).
[17] Smith B D. Image reconstruction from cone-beam projections: necessary and sufficient conditions and reconstruction methods[J]. IEEE Transactions on Medical Imaging, 4, 14-25(1985).
[18] Grass M, Köhler T, Proksa R. Angular weighted hybrid cone-beam CT reconstruction for circular trajectories[J]. Physics in Medicine and Biology, 46, 1595-1610(2001).
[19] Grass M, Kohler T, Proksa R. Weighted hybrid cone beam reconstruction for circular trajectories[C], 15/1-15/2(2002).
[20] Mori S, Endo M, Komatsu S et al. A combination-weighted Feldkamp-based reconstruction algorithm for cone-beam CT[J]. Physics in Medicine and Biology, 51, 3953-3965(2006).
[21] Grimmer R, Oelhafen M, Elstrøm U et al. Cone-beam CT image reconstruction with extended z range[J]. Medical Physics, 36, 3363-3370(2009).
[22] Tang X Y, Hsieh J, Hagiwara A et al. A three-dimensional-weighted cone beam filtered backprojection (CB-FBP) algorithm for image reconstruction in volumetric CT under a circular source trajectory[J]. Physics in Medicine and Biology, 50, 3889-3905(2005).
[23] Hu H. An improved cone-beam reconstruction algorithm for the circular orbit[J]. Scanning, 18, 572-581(1996).
[24] Zeng K, Chen Z Q, Zhang L et al. An error-reduction-based algorithm for cone-beam computed tomography[J]. Medical Physics, 31, 3206-3212(2004).
[25] Zhu L, Starman J, Fahrig R. An efficient estimation method for reducing the axial intensity drop in circular cone-beam CT[J]. International Journal of Biomedical Imaging, 2008, 242841(2008).
[26] Turbell H[M]. Cone-beam reconstruction using filtered backprojection, 41-45(2001).
[27] Grass M, Köhler T, Proksa R. 3D cone-beam CT reconstruction for circular trajectories[J]. Physics in Medicine and Biology, 45, 329-347(2000).
[28] Li L, Xing Y X, Chen Z Q et al. A curve-filtered FDK (C-FDK) reconstruction algorithm for circular cone-beam CT[J]. Journal of X-Ray Science and Technology, 19, 355-371(2011).
[29] Li L, Xing Y X, Chen Z Q et al. A new curve-filtered FDK-type algorithm for circular cone-beam CT reconstruction[C], 2243-2247(2010).
[30] Wang C, Tan B Z, Yang Q G et al. Filtering path variable FDK (v-FDK) reconstruction algorithm for circular cone-beam CT[J]. Proceedings of SPIE, 11441, 114410J(2020).
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Ziyang Mu, Rongsheng Lu, Pan He, Guilin Zhang, Mingtao Fang. X-Ray Three-Dimensional Reconstruction Algorithm of Plate-Like Objects Based on Filter Path Transformation[J]. Acta Optica Sinica, 2024, 44(9): 0934001
Category: X-Ray Optics
Received: Jan. 8, 2024
Accepted: Feb. 23, 2024
Published Online: May. 10, 2024
The Author Email: Rongsheng Lu (rslu@hfut.edu.cn)
CSTR:32393.14.AOS240459