Image Reconstruction by Regularized Nonlinear Inversion - Joint Estimation of Coil Sensitivities and Image Content

2008 | journal article. A publication with affiliation to the University of Göttingen.

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​Uecker, M., Hohage, T., Block, K. T. & Frahm, J. (2008). ​Image Reconstruction by Regularized Nonlinear Inversion - Joint Estimation of Coil Sensitivities and Image Content. Magnetic Resonance in Medicine60(3), ​674​-682​. ​doi: https://doi.org/10.1002/mrm.21691 

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Authors
Uecker, Martin ; Hohage, Thorsten ; Block, Kai Tobias; Frahm, Jens 
Abstract
The use of parallel imaging for scan time reduction in MRI faces problems with image degradation when using GRAPPA or SENSE for high acceleration factors. Although an inherent loss of SNR in parallel MRI is inevitable due to the reduced measurement time, the sensitivity to image artifacts that result from severe undersampling can be ameliorated by alternative reconstruction methods. While the introduction of GRAPPA and SENSE extended MRI reconstructions from a simple unitary transformation (Fourier transform) to the inversion of an ill‐conditioned linear system, the next logical step is the use of a nonlinear inversion. Here, a respective algorithm based on a Newton‐type method with appropriate regularization terms is demonstrated to improve the performance of autocalibrating parallel MRI—mainly due to a better estimation of the coil sensitivity profiles. The approach yields images with considerably reduced artifacts for high acceleration factors and/or a low number of reference lines.
Issue Date
2008
Journal
Magnetic Resonance in Medicine 
Organization
Institut für Numerische und Angewandte Mathematik 
Working Group
RG Hohage (Inverse Problems) 
ISSN
0740-3194; 1522-2594
Language
English

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