Parallel imaging with nonlinear reconstruction using variational penalties
Knoll F, Clason C, Bredies K, Uecker M, Stollberger R (2012)
Publication Type: Journal article
Publication year: 2012
Journal
Book Volume: 67
Pages Range: 34-41
Journal Issue: 1
DOI: 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. Copyright © 2011 Wiley Periodicals, Inc.
Authors with CRIS profile
Involved external institutions
Technische Universität Graz
Austria (AT)
Karl-Franzens-Universität Graz
Austria (AT)
Max-Planck-Institut für biophysikalische Chemie (Karl-Friedrich-Bonhoeffer-Institut) / Max Planck Institute for Biophysical Chemistry
Germany (DE)
Austria (AT)
Karl-Franzens-Universität Graz
Austria (AT)
Max-Planck-Institut für biophysikalische Chemie (Karl-Friedrich-Bonhoeffer-Institut) / Max Planck Institute for Biophysical Chemistry
Germany (DE)
How to cite
APA:
Knoll, F., Clason, C., Bredies, K., Uecker, M., & Stollberger, R. (2012). Parallel imaging with nonlinear reconstruction using variational penalties. Magnetic Resonance in Medicine, 67(1), 34-41. https://doi.org/10.1002/mrm.22964
MLA:
Knoll, Florian, et al. "Parallel imaging with nonlinear reconstruction using variational penalties." Magnetic Resonance in Medicine 67.1 (2012): 34-41.
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