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Updated: May 31, 2026

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
Published on: February 12, 2014
Parallel imaging with nonlinear reconstruction using variational penalties
Florian Knoll1, Christian Clason, Kristian Bredies
1Institute of Medical Engineering Graz University of Technology, Graz, Austria. florian.knoll@tugraz.at
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.
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