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Publication Detail
Fast dynamic MRI via nuclear norm minimization and accelerated proximal gradient
  • Publication Type:
    Conference
  • Authors:
    Tremoulheac B, Atkinson D, Arridge S
  • Publication date:
    08/04/2013
  • Pagination:
    322, 325
  • Status:
    Published
  • Name of conference:
    IEEE International Symposium on Biomedical Imaging
  • Conference place:
    San Francisco, USA
  • Conference start date:
    07/04/2013
  • Conference finish date:
    11/04/2013
Abstract
Higher spatial and temporal resolution of dynamic MR imaging can be achieved by sparse and sub-Nyquist sampling of (k-t)-space. However, direct inversion of this inverse problem can result in arte- fact in reconstructed images. In combination with a golden angle pseudo-radial acquisition, we propose in this paper to use prior in- formation based on the rank to regularize the problem. The iterative scheme to reconstruct the dynamic imaging series is based on an accelerated proximal gradient algorithm designed for large-scale low-rank matrix completion. The method is tested on simulated and clinical datasets and, besides being simple, proves to be fast and efficient for high acceleration factors.
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