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Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2016> 25(1): 128-134
ZHAO Di, DU Hui-qian, GAO Xiang-zhen, MEI Wen-bo. Reference-driven method for MR image reconstruction based on wavelet sparsity and nonlocal total variation[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2016, 25(1): 128-134. doi: 10.15918/j.jbit1004-0579.201625.0119
Citation: ZHAO Di, DU Hui-qian, GAO Xiang-zhen, MEI Wen-bo. Reference-driven method for MR image reconstruction based on wavelet sparsity and nonlocal total variation[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2016, 25(1): 128-134.doi:10.15918/j.jbit1004-0579.201625.0119
shu

Reference-driven method for MR image reconstruction based on wavelet sparsity and nonlocal total variation

doi:10.15918/j.jbit1004-0579.201625.0119

  • School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China

  • Received Date:2014-09-08
    Abstract
  • A novel reference-driven method for MR image reconstruction based on wavelet sparsity and nonlocal total variation (NLTV) is proposed. Utilizing the sparsity of the difference image between the target image and the motion-compensated reference image in wavelet transform domain, the proposed method does not need to estimate contrast changes and therefore increases computational efficiency. Additionally, NLTV regularization is applied to preserve image details and features without blocky effects. An efficient alternating iterative algorithm is used to estimate motion effects and reconstruct the difference image. Experimental results demonstrate that the proposed method can significantly reduce sampling rate or improve the quality of the reconstructed image alternatively.
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