mlliu / mrunder

A project for artificially undersampling MR (Magnetic Resonance) Images, using various Cartesian and Radial sampling patterns. Modules from project can also be used for generating under-sampling patterns, that can be used with the scanner

MRUnder

A project for artificially undersampling MR (Magnetic Resonance) Images, using various Cartesian and Radial sampling patterns. Modules from project can also be used for generating under-sampling patterns, that can be used with the scanner

Credits

If you like this repository, please click on Star!

If you use this package in your research or use codes from this repository, please cite this repository in your publications:

@software{soumick_chatterjee_2020_3901455,
  author       = {Chatterjee, Soumick},
  title        = {soumickmj/MRUnder: Initial Release},
  month        = {06},
  year         = {2020},
  publisher    = {Zenodo},
  version      = {v0.1},
  doi          = {10.5281/zenodo.3901455}
}

Or/And cite the following paper in your publication:

Soumick Chatterjee, Mario Breitkopf, Chompunuch Sarasaen, Hadya Yassin, Georg Rose, Andreas Nürnberger, Oliver Speck: ReconResNet: Regularised Residual Learning for MR Image Reconstruction of Undersampled Cartesian and Radial Data (arXiv:2103.09203, Mar 2021)

BibTeX entry:

@article{chatterjee2021reconresnet,
  title={ReconResNet: Regularised Residual Learning for MR Image Reconstruction of Undersampled Cartesian and Radial Data},
  author={Chatterjee, Soumick and Breitkopf, Mario and Sarasaen, Chompunuch and Yassin, Hadya and Rose, Georg and N{\"u}rnberger, Andreas and Speck, Oliver},
  journal={arXiv preprint arXiv:2103.09203},
  year={2021}
}

Thank you so much for your support.