Dynamic MRI reconstruction using low rank plus sparse tensor decomposition

@article{Roohi2016DynamicMR,
  title={Dynamic MRI reconstruction using low rank plus sparse tensor decomposition},
  author={Shahrooz Faghih Roohi and Dornoosh Zonoobi and Ashraf A. Kassim and Jacob L. Jaremko},
  journal={2016 IEEE International Conference on Image Processing (ICIP)},
  year={2016},
  pages={1769-1773}
}
In this paper, we introduce a multi-dimensional approach to the problem of reconstruction of MR image sequences that are highly undersampled in k-space. By formulating the reconstruction as a high-order low-rank plus sparse tensor decomposition problem, we propose an efficient numerical algorithm based on the alternating direction method of multipliers… CONTINUE READING