An Improved Discrete Algebraic Reconstruction Technique for Limited-View Based on Gray Mean Value Guidance
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OpenAlex topics: Medical Imaging Techniques and Applications · Digital Image Processing Techniques · Advanced MRI Techniques and Applications
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References (39)
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1. Zhou, Z.D., Zhang, X.L., Xin, R.C., Mao, L., Jia, J.S., Wei, S.S., Sheng, T., Zheng, J.H.: Direct iterative basis image reconstruction based on MAP-EM algorithm for spectral CT. J. Nondestruct. Eval. 40, 5 (2021)10.1007/s10921-020-00736-8 ↗
2. Agrawal, A.K., Sarkar, P.S., Kashyap, Y.S., Singh, B., Sharma, A., Kumar, R., Sinha, A.: Application of X-ray CT for non-destructive characterization of graphite fuel-tube. J. Nondestruct. Eval. 35, 36 (2016)10.1007/s10921-016-0353-9 ↗
3. Wu, W., Zhang, Y., Wang, Q., Liu, F., Chen, P., Yu, H.: Low-dose spectral CT reconstruction using image gradient ℓ0 –norm and tensor dictionary. Appl. Math. Model. 63, 538–557 (2018)10.1016/j.apm.2018.07.006 ↗
4. Zibetti, M., Lin, C., Herman, G.: Total variation superiorized conjugate gradient method for image reconstruction. Inverse Probl. 36(8), 089601 (2020)10.1088/1361-6420/ab9448 ↗
5. Jones, G.A., Huthwaite, P.: Limited view X-ray tomography for dimensional measurements. NDT & E Int. 93, 98–109 (2018)10.1016/j.ndteint.2017.09.002 ↗
6. Xu, J.Q., Zhao, Y.S., Li, H.W., Zhang, P.: An image reconstruction model regularized by edge-preserving diffusion and smoothing for limited-angle computed tomography. Inverse Probl. 35(8), 085004 (2019)10.1088/1361-6420/ab08f9 ↗
7. Chen, Z., Jin, X., Li, L., Wang, G.: A limited-angle CT reconstruction method based on anisotropic TV minimization. Phys. Med. Biol. 58, 2119–2141 (2013)10.1088/0031-9155/58/7/2119 ↗
8. Frikel, J., Quinto, E.T.: Characterization and reduction of artifacts in limited angle tomography. Inverse Probl. 29(12), 125007 (2013)10.1088/0266-5611/29/12/125007 ↗
9. Bao, P., Sun, H., Wang, Z., Zhang, Y., Xia, W.: Convolutional sparse coding for compressed sensing CT reconstruction. IEEE Trans. Med. Imaging 38(11), 2607–2619 (2019)10.1109/TMI.2019.2906853 ↗
10. Klibanov, M.V., Nguyen, L.H.: PDE-based numerical method for a limited angle X-ray tomography. Inverse Probl. 35(4), 045009 (2019)10.1088/1361-6420/ab0133 ↗
11. Luo, X.Q., Yu, W., Wang, C.X.: An image reconstruction method based on total variation and wavelet tight frame for limited-angle CT. IEEE Access 6, 1461–1470 (2018)10.1109/ACCESS.2017.2779148 ↗
12. Wang, L., Zhang, H., Cai, A., Yan, B., Li, L., Hu, G.: Image reconstruction algorithm based on inexact alternating direction total-variation minimization. Acta Phys. Sin. 62(19), 198701 (2013)10.7498/aps.62.198701 ↗
13. Zhang, Y., Zhang, W., Lei, Y., Zhou, J.: Few-view image reconstruction with fractional-order total variation. J. Opt. Soc. Am. A: Opt. Image Sci., Vis. 31(5), 981–995 (2014)10.1364/JOSAA.31.000981 ↗
14. Yang, F.Q., Zhang, D.H., Huang, K.D., Gao, Z.Z., Yang, Y.F.: Incomplete projection reconstruction of computed tomography based on modified discrete algebraic reconstruction technique. Meas. Sci. Technol. 29(2), 25405 (2018)10.1088/1361-6501/aa9a07 ↗
15. Batenburg, K.J., Sijbers, J.: DART: A practical reconstruction algorithm for discrete tomography. IEEE Trans. Image Process 20(9), 2542–2553 (2011)10.1109/TIP.2011.2131661 ↗
16. Sanders, T.: Discrete iterative partial segmentation technique (DIPS) for tomographic reconstruction. IEEE Trans. Comput. Imaging. 2(1), 71–82 (2016)10.1109/TCI.2016.2521340 ↗
17. Brabant, L., Dierick, M., Pauwels, E., Boone, M.N., Van Hoorebeke, L.: EDART, a discrete algebraic reconstructing technique for experimental data obtained with high resolution computed tomography. J. Xray Sci. Technol. 22(1), 47–61 (2014)
18. Gong, C.C., Zeng, L.: Adaptive iterative reconstruction based on relative total variation for low-intensity computed tomography. Signal Process 165, 149–162 (2019)10.1016/j.sigpro.2019.06.031 ↗
19. Maestre-Deusto, F.J., Scavello, G., Pizarro, J.: ADART: an adaptive algebraic reconstruction algorithm for discrete tomography. IEEE Trans. Image Process 20(8), 2146–2152 (2011)10.1109/TIP.2011.2114894 ↗
20. Bleichrodt, F., Tabak, F., Batenburg, K.J.: SDART: an algorithm for discrete tomography from noisy projections. Comput. Vis. Image Underst. 129(8), 63–74 (2014)10.1016/j.cviu.2014.06.002 ↗
21. Gorissen, D., Crombecq, K., Couckuyt, I., Dhaene, T., Demeester, P.: A surrogate modeling and adaptive sampling toolbox for computerbased design. J. Mach. Learn. Res. 11, 2051–2055 (2010)
22. Kwon J., Song S. M.: Image reconstruction using projections from a few views by discrete steering combined with DART. Conference on Computational Imaging X, Proceedings of SPIE. 8296, (2012).10.1117/12.909721 ↗
23. Zhuge, X.D., Palenstijn, W.J., Batenburg, K.J.: TVR-DART: a more robust algorithm for discrete tomography from limited projection data with automated gray value estimation. IEEE Trans. Image Process 25(1), 455–468 (2016)10.1109/TIP.2015.2504869 ↗
24. Ringh, A., Zhuge, X.D., Palenstijn, W.J., Batenburg, K.J., Oktem, O.: High-level algorithm prototyping: an example extending the TVR-DART algorithm. Lect. Notes Comput. Sci. 10502, 109–121 (2017)10.1007/978-3-319-66272-5_10 ↗
25. Nagy, A.: Experimental study on multivalued phantoms using different filters in the DART algorithm. Fund. Inform. 141(2–3), 207–231 (2015)
26. Haung, D.Y., Lin, T.W., Hu, W.C.: Automatic multilevel thresholding based on two-stage otsu’s method with cluster determination by valley estimation. Innov. Comput., Inf. Control. 7(10), 5631–5644 (2011)
27. Brabant, L., Dierick, M., Pauwels, E.: EDART, a discrete algebraic reconstructing technique for experimental data obtained with high resolution computed tomography. J. Xray Sci. Technol. 22(1), 47–61 (2014)
28. Liang, Z., Guan, Y., Liu, G.: A modified discrete algebraic reconstruction technique for multiple gray image reconstruction for limited angle range tomography. J. Synchrotron Radiat. 23(2), 606–616 (2016)10.1107/S1600577516000564 ↗
29. Roelandts, T., Kees, J., Batenburg, J.: PDART: a partially discrete algorithm for the reconstruction of dense particles. Radiol. Nucl. Med. 44(37), 44080457 (2011)
30. Liang, G., Ren, S., Dong, F.: An EIT image segmentation method based on projection distance minimization. IEEE Int. Conf. Imaging Syst. Tech. 2018, 1–5 (2017)
31. Aarle, W.V., Batenburg, K.J., Sijbers, J.: Automatic parameter estimation for the discrete algebraic reconstruction technique (DART). IEEE Trans. Med. Imaging 21(11), 4608–4621 (2012)10.1109/TIP.2012.2206042 ↗
32. Sidky E. Y., Chartrand R., Pan X. C.: Constrained non-convex TpV minimization for extremely sparse projection view sampling in CT. 60th IEEE Nuclear Science Symposium and Medical Imaging Conference. NSS/MIC 2013, (2013).
33. Tao, K., Huang, L., Zhong, Y.: Improved compressive sensing algorithm for CT image reconstruction with incomplete projection data. J. Xidian Univ. 42(4), 95–99 (2015)
34. Yang, F.Q., Zhang, D.H., Huang, K.D.: Review of reconstruction algorithms with incomplete projection data of computed tomography. Acta Phys. Sin. 63(5), 58701 (2013)10.7498/aps.63.058701 ↗
35. Yoon, S., Makiharju, S.A., Fessler, J.A., Ceccio, S.L.: Image reconstruction for limited-angle electron beam X-ray computed tomography with energy-integrating detectors for multiphase flows. IEEE Trans. Comput. Imaging 4(1), 112–124 (2018)10.1109/TCI.2017.2775603 ↗
36. Dabravolski, A., Batenburg, J., Sijbers, J.: A multiresolution approach to discrete tomography using DART. Plos one 9(9), e106090 (2013)10.1371/journal.pone.0106090 ↗
37. Zhou, L.H., Cong, W.J., Lu, F.L., Wang, L.: Research about measurement error of bullet head traces based on improved search retreat method. Inf. Technol. J. 12, 3548–3553 (2013)10.3923/itj.2013.3548.3553 ↗
38. Chen, Q., Zhao, L., Lu, J., Kuang, G., Wang, N., Jiang, Y.: Modified two-dimensional Otsu image segmentation algorithm and fast realization. IET Image Process 6(4), 426–433 (2012)10.1049/iet-ipr.2010.0078 ↗
39. Feldkamp, L.A., Davis, L.C., Kress, J.W.: Practical cone-beam algorithm. J. Opt. Soc. Am. A 1(6), 612–619 (1984)10.1364/JOSAA.1.000612 ↗