English

Split Slice Training Augmentation and Hyperparameter Tuning of RAKI Networks for Simultaneous Multi-Slice Reconstruction

Image and Video Processing 2020-06-04 v1 Medical Physics
Authors: Andrew S. Nencka , PhD , Volkan E. Arpinar , PhD , Sampada Bhave , PhD , Baolian Yang , PhD , Suchandrima Banerjee , Michael McCrea , PhD , Nikolai J. Mickevicius , L. Tugan Muftuler , Kevin M. Koch
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Abstract

Split-slice augmentation for simultaneous multi-slice RAKI networks positively impacts network performance. Hyperparameter tuning of such reconstruction networks can lead to further improvements in unaliasing performance.

Cite

@article{arxiv.2006.01917,
  title  = {Split Slice Training Augmentation and Hyperparameter Tuning of RAKI Networks for Simultaneous Multi-Slice Reconstruction},
  author = {Andrew S. Nencka and PhD and Volkan E. Arpinar and PhD and Sampada Bhave and PhD and Baolian Yang and PhD and Suchandrima Banerjee and Michael McCrea and PhD and Nikolai J. Mickevicius and L. Tugan Muftuler and Kevin M. Koch},
  journal= {arXiv preprint arXiv:2006.01917},
  year   = {2020}
}

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