Accelerated Computing in Magnetic Resonance Imaging: Real-Time Imaging Using Nonlinear Inverse Reconstruction
2017 | journal article. A publication with affiliation to the University of Göttingen.
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Cite this publication
Accelerated Computing in Magnetic Resonance Imaging: Real-Time Imaging Using Nonlinear Inverse Reconstruction
Schaetz, S.; Voit, D.; Frahm, J. & Uecker, M. (2017)
Computational and Mathematical Methods in Medicine, 2017 art. 3527269. DOI: https://doi.org/10.1155/2017/3527269
Documents & Media
Details
- Authors
- Schaetz, Sebastian; Voit, Dirk; Frahm, Jens ; Uecker, Martin
- Abstract
- To develop generic optimization strategies for image reconstruction using graphical processing units (GPUs) in magnetic resonance imaging (MRI) and to exemplarily report on our experience with a highly accelerated implementation of the nonlinear inversion (NLINV) algorithm for dynamic MRI with high frame rates.
- Issue Date
- 2017
- Journal
- Computational and Mathematical Methods in Medicine
- ISSN
- 1748-670X
- eISSN
- 1748-6718
- Language
- English
