Sampling possible reconstructions of undersampled acquisitions in MR imaging

@article{Tezcan2022SamplingPR,
  title={Sampling possible reconstructions of undersampled acquisitions in MR imaging},
  author={Kerem Can Tezcan and Christian F. Baumgartner and Ender Konukoglu},
  journal={IEEE transactions on medical imaging},
  year={2022},
  volume={PP}
}
Undersampling the k-space during MR acquisitions saves time, however results in an ill-posed inversion problem, leading to an infinite set of images as possible solutions. Traditionally, this is tackled as a reconstruction problem by searching for a single "best" image out of this solution set according to some chosen regularization or prior. This approach, however, misses the possibility of other solutions and hence ignores the uncertainty in the inversion process. In this paper, we propose a… 
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