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Parallel imaging with nonlinear reconstruction using variational penalties

✍ Scribed by Florian Knoll; Christian Clason; Kristian Bredies; Martin Uecker; Rudolf Stollberger

Publisher
John Wiley and Sons
Year
2011
Tongue
English
Weight
915 KB
Volume
67
Category
Article
ISSN
0740-3194

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✦ Synopsis

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. Β© 2011 Wiley Periodicals, Inc.

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