Compressed sensing in dynamic MRI.

@article{Gamper2008CompressedSI,
  title={Compressed sensing in dynamic MRI.},
  author={U. Gamper and Peter Boesiger and Sebastian Kozerke},
  journal={Magnetic resonance in medicine},
  year={2008},
  volume={59 2},
  pages={365-73}
}
Recent theoretical advances in the field of compressive sampling-also referred to as compressed sensing (CS)-hold considerable promise for practical applications in MRI, but the fundamental condition of sparsity required in the CS framework is usually not fulfilled in MR images. However, in dynamic imaging, data sparsity can readily be introduced by applying the Fourier transformation along the temporal dimension assuming that only parts of the field-of-view (FOV) change at a high temporal rate… CONTINUE READING
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