Parallel imaging with nonlinear reconstruction using variational penalties
Open Access
- 27 June 2011
- journal article
- research article
- Published by Wiley in Magnetic Resonance in Medicine
- Vol. 67 (1), 34-41
- https://doi.org/10.1002/mrm.22964
Abstract
A new approach based on nonlinear inversion for autocalibrated parallel imaging with arbitrary sampling patterns is presented. By extending the iteratively regularized Gauss–Newton method with variational penalties, the improved reconstruction quality obtained from joint estimation of image and coil sensitivities is combined with the superior noise suppression of total variation and total generalized variation regularization. In addition, the proposed approach can lead to enhanced removal of sampling artifacts arising from pseudorandom and radial sampling patterns. This is demonstrated for phantom and in vivo measurements. Magn Reson Med 67:34–41, 2012.Keywords
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