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基于快速分裂Bregman迭代的全变差正则化SENSE磁共振图像重建

DOI: 10.3969/j.issn.1005-3026.2014.01.006, PP. 24-28

Keywords: 敏感度编码(SENSE),磁共振图像重建,全变差正则化,人工时间演化法,分裂Bregman迭代

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Abstract:

在并行磁共振成像中,由于敏感度编码(SENSE)重建过程的病态性,当加速因子增大时,其重建图像的信噪比将会明显降低.通过深入分析全变差(TV)正则化的SENSE重建模型,引入一种高效快速的分裂Bregman迭代算法来得到优化解,进而有效改善图像重建效果.分别对磁共振的体模数据和大脑数据进行仿真实验研究.结果表明,与传统TV正则化SENSE重建相比,此算法不但迭代次数少、收敛速度快,而且能够有效消除混叠伪影,提高图像信噪比并减小归一化均方误差.

References

[1]  [1]Pruessmann K P ,Weiger M,Scheidegger M B,et al.SENSE:sensitivity encoding for fast MRI[J].Magnetic Resonance in Medicine,1992,42(5):952-962.
[2]  吴春俐,胡文娟,阚如文,等.一种改进的磁共振并行成像K空间数据采集算法[J].东北大学学报:自然科学版,2011,32(8):1101-1104.(Wu Chun-li,Hu Wen-juan,Kan Ru-wen,et al.An improved algorithm of K-space date acquisition for parallel MRI[J].Journal of Northeastern University:Natural Science,2011,32(8):1101-1104.)
[3]  Rudin L ,Osher S,Fatemi E.Nonlinear total variation based noise removal algorithms[J].Physica D:Nonlinear Phenomena,1992,60(1):259-268.
[4]  Rudin L ,Osher S.Total variation based image restoration with free local constraints[C]//IEEE Interational Conference on Image Processing.Santa Monica,1994:31-35.
[5]  Vogel C R ,Oman M E.Iterative methods for total variation denoising[J].SIAM Journal on Scientific Computing,1996,17(1):227-238.
[6]  Chan T F ,Golub G H,Mulet P.A nonlinear primal-dual method for total variation-based image restoration[J].SIAM Journal of Scientific Computing,1999,20(6):1964-1977.
[7]  Wang Y L ,Yin W,Zhang Y.A fast algorithm for image deblurring with total variation regularization[R].Houston:Rice University,2007.
[8]  Tao M ,Yang J.Alternating direction algorithms for total variation deconvolution in image reconstruction[R].Nanjing:Nanjing University,2009.
[9]  Goldstein T ,Osher S.The split Bregman method for L1-regularized problems[J].SIAM Journal on Imaging Sciences,2009,2(2):323-343.
[10]  Setzer S ,Stetdl G,Teuber T.Deblurring Poissonian images by split Bregman techniques[J].Journal of Visual Communication and Image Representation,2010,21(3):193-199.
[11]  Stanley O ,Martin B,Donald G,et al.Iterative regularization method for total variation-based image restoration[J].Multiscale Modeling and Simulation,2005,4(2):460-489.

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