Effective noise estimation and filtering from correlated multiple-coil MR data.

@article{AjaFernndez2013EffectiveNE,
  title={Effective noise estimation and filtering from correlated multiple-coil MR data.},
  author={Santiago Aja-Fern{\'a}ndez and V{\'e}ronique Brion and Antonio Trist{\'a}n-Vega},
  journal={Magnetic resonance imaging},
  year={2013},
  volume={31 2},
  pages={272-85}
}
Modern magnetic resonance (MR) imaging protocols based on multiple-coil acquisitions have carried on a new attention to noise and signal statistical modeling, as long as most of the existing techniques for data processing are model based. In particular, nonaccelerated multiple-coil and GeneRalized Autocalibrated Partially Parallel Acquisitions (GRAPPA) have brought noncentral-χ (nc-χ) statistics into stake as a suitable substitute for traditional Rician distributions. However, this model is… CONTINUE READING

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