Deconvolution of dynamic contrast-enhanced MRI data by linear inversion: choice of the regularization parameter.

@article{Sourbron2004DeconvolutionOD,
  title={Deconvolution of dynamic contrast-enhanced MRI data by linear inversion: choice of the regularization parameter.},
  author={Steven Sourbron and Rob Luypaert and Peter Van Schuerbeek and Martine I. Dujardin and Tadeusz W. Stadnik and Michel Osteaux},
  journal={Magnetic resonance in medicine},
  year={2004},
  volume={52 1},
  pages={209-13}
}
Truncated singular value decomposition (TSVD) is an effective method for the deconvolution of dynamic contrast-enhanced MRI. Two robust methods for the selection of the truncation threshold on a pixel-by-pixel basis--generalized cross validation (GCV) and the L-curve criterion (LCC)--were optimized and compared to paradigms in the literature. The methods lead to improvements in the estimate of the residue function and of its maximum and converge properly with SNR. The oscillations typically… CONTINUE READING

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