New image-restoration method using a simultaneous algebraic reconstruction technique: comparison with the Richardson–Lucy algorithm
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Gravel P, Beaudoin G, de Guise JA. A method for modeling noise in medical images. IEEE Trans Med Imaging. 2004;23:1221–32.
Snyder DL, Helstrom CW, Lanterman AD, Faisal M, White RL. Compensation for readout noise in CCD images. J Opt Soc Am A. 1995;12:272–83.
Lucy LB. An iterative technique for the rectification of observed distributions. Astron J. 1974;79:745–54.
Schmid M, Häusele B, Junk M, Brookes E, Frank J, Cölfen H. High-resolution asymmetrical flow field-flow fractionation data evaluation via Richardson-Lucy-based fractogram correction. Anal Chem. 2018;90:13978–86.
Zhang Y, Lang S, Wang H, Liao J, Gong Y. Super-resolution algorithm based on Richardson-Lucy deconvolution for three-dimensional structured illumination microscopy. J Opt Soc Am A Opt Image Sci Vis. 2019;36:173–8.
Lipp I, Parker GD, Tallantyre EC, Goodall A, Grama S, Patitucci E, et al. Tractography in the presence of multiple sclerosis lesions. Neuroimage. 2020;209:116471.
Zhang Y, Zhang L. A rigid motion artifact reduction method for CT based on blind deconvolution. Algorithms. 2019;12:155.
Thomas L, Schultz T, Prokic V, Guckenberger M, Tanadini-Lang S, Hohberg M, et al. 4D-CT-based motion correction of PET images using 3D iterative deconvolution. Oncotarget. 2019;10:2987–95.
Chen D, Xiao H, Xu J. An improved Richardson-Lucy iterative algorithm for C-scan image restoration and inclusion size measurement. Ultrasonics. 2019;91:103–13.
Andersen AH, Kak AC. Simultaneous algebraic reconstruction technique (SART): a superior implementation of the ART algorithm. Ultrason Imaging. 1984;6:81–94.
Gordon R, Bender R, Herman GT. Algebraic reconstruction techniques (ART) for three-dimensional electron microscopy and X-ray photography. J Theor Biol. 1970;29:471–81.
Jiang M, Wang G. Convergence studies on iterative algorithms for image reconstruction. IEEE Trans Med Imaging. 2003a;22:569–79.
Jiang M, Wang G. Convergence of the simultaneous algebraic reconstruction technique (SART). IEEE Trans Image Proc. 2003b;12:957–61.
Vaniqui A, Schyns L, Almeida IP, van der Heyden B, Podesta M, Verhaegen F. The effect of different image reconstruction techniques on pre-clinical quantitative imaging and dual-energy CT. Br J Radiol. 2019;92:20180447.
Murase K. Simultaneous correction of sensitivity and spatial resolution in projection-based magnetic particle imaging. Med Phys. 2020;47:1845–59.
Shao J, Zhang J, Huang X, Liang R, Barnard K. Fiber bundle image restoration using deep learning. Opt Lett. 2019;44:1080–3.
Ren D, Zuo W, Zhang D, Zhang L, Yang M-H. Simultaneous fidelity and regularization learning for image restoration. IEEE Trans Pattern Anal Mach Intell. 2020. https://doi.org/10.1109/TPAMI.2019.2926357.
Wu Q, Li Y, Lin Y. Medical image restoration method via multiple nonlocal prior constraints. J Intell Fuzzy Syst. 2020;38:5–19.
Collins DL, Zijdenbos AP, Kollokian V, Sled JG, Kabani NJ, Holmes CJ, et al. Design and construction of a realistic digital brain phantom. IEEE Trans Med Imaging. 1998;17:463–8.
Murase K, Yamazaki Y, Shinohara M, Kawakami K, Kikuchi K, Miki H, et al. An anisotropic diffusion method for denoising dynamic susceptibility contrast-enhanced magnetic resonance images. Phys Med Biol. 2001;46:2713–23.
Tachibana R, Hirano Y, Xu R, Kido S, Suga K. Evaluation of partial-volume effect correction using deconvolution method in PET imaging. Med Imag Tech. 2012;30:123–9.
Agarwal S, Singh OP, Nagaria D. Deblurring of MRI image using blind and non-blind deconvolution methods. Biomed Pharmacol J. 2017;10:1409–13.
Yoza A, Yamada C, Miyagi K, Ichikawa S, Fujieda N. Determination of optimal parameters for bilateral filter for medical images. IEEJ Trans Electron Inform Syst. 2019;139:1008–14.
Wang Z, Bovik AC, Sheikh HR, Simoncelli EP. Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process. 2004;13:600–12.
Ramirez-Giraldo JC, Trzasko J, Leng S, Yu L, Manduca A, McCollough CH. Nonconvex prior image constrained compressed sensing (NCPICCS): theory and simulations on perfusion CT. Med Phys. 2011;38:2157–67.
Fish DA, Brinicombe AM, Pike ER, Walker JG. Blind deconvolution by means of the Richardson-Lucy algorithm. J Opt Soc Am A. 1995;12:58–65.