Highly Undersampled 3 D Golden Ratio Radial Imaging with Iterative Reconstruction

@inproceedings{Doneva2007HighlyU3,
  title={Highly Undersampled 3 D Golden Ratio Radial Imaging with Iterative Reconstruction},
  author={Mariya Doneva and Holger Eggers and J{\"u}rgen Rahmer and Peter B{\"o}rnert and Alfred Mertins},
  year={2007}
}
Introduction Compressed Sensing (CS) [1,2] suggests that using nonlinear reconstruction algorithms based on convex optimization an accurate signal reconstruction can be obtained from a number of samples much lower than required by the Nyquist limit. Recently, CS was demonstrated for MR imaging from undersampled data [3, 4]. Prerequisites for a good image reconstruction are the image compressibility and the incoherence of the sampling scheme. To exploit the full potential of CS, measurement… CONTINUE READING

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