Low rank matrix recovery for real-time cardiac MRI

@article{Zhao2010LowRM,
  title={Low rank matrix recovery for real-time cardiac MRI},
  author={Bo Zhao and Justin P. Haldar and Cornelius Brinegar and Zhi-Pei Liang},
  journal={2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro},
  year={2010},
  pages={996-999}
}
Real-time cardiac MRI is a very challenging problem because of limitations on imaging speed and resolution. To address this problem, the (k,t) - space MR signal is modeled as being partially separable along the spatial and temporal dimensions, which results in a rank-deficient data matrix. Image reconstruction is then formulated as a low-rank matrix recovery problem, which is solved using emerging low-rank matrix recovery techniques. In this paper, the Power Factorization algorithm is applied… CONTINUE READING
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