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Computational and Mathematical Methods in Medicine
Volume 2017 (2017), Article ID 3527269, 11 pages
https://doi.org/10.1155/2017/3527269
Research Article

Accelerated Computing in Magnetic Resonance Imaging: Real-Time Imaging Using Nonlinear Inverse Reconstruction

1Biomedizinische NMR Forschungs GmbH, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
2DZHK (German Centre for Cardiovascular Research), Partner Site Göttingen, Göttingen, Germany
3Department of Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany

Correspondence should be addressed to Martin Uecker; ed.negnitteog-inu.dem@rekceu.nitram

Received 26 January 2017; Accepted 7 November 2017; Published 31 December 2017

Academic Editor: Po-Hsiang Tsui

Copyright © 2017 Sebastian Schaetz et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Sebastian Schaetz, Dirk Voit, Jens Frahm, and Martin Uecker, “Accelerated Computing in Magnetic Resonance Imaging: Real-Time Imaging Using Nonlinear Inverse Reconstruction,” Computational and Mathematical Methods in Medicine, vol. 2017, Article ID 3527269, 11 pages, 2017. doi:10.1155/2017/3527269