Wavelet-Regularized Reconstruction For Rapid Mri

We propose a reconstruction scheme adapted to MRI that takes advantage of a sparsity constraint in the wavelet domain. We show that, artifacts are significantly reduced compared to conventional reconstruction methods. Our approach is also competitive with Total Variation regularization both in terms of MSE and computation time. We show that l(1) regularization allows partial recovery of the missing k-space regions. We also present a multi-level version that significantly reduces the computational cost.


Published in:
2009 Ieee International Symposium On Biomedical Imaging: From Nano To Macro, Vols 1 And 2, 193-196
Presented at:
IEEE International Symposium on Biomedical Imaging - From Nano to Macro, Boston, MA, Jun 28-Jul 01, 2009
Year:
2009
Publisher:
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa
Keywords:
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 Record created 2010-11-30, last modified 2018-03-18

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