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Accelerating implant RF safety assessment using a low-rank inverse update method.

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Title: Accelerating implant RF safety assessment using a low-rank inverse update method.
Authors: Stijnman PRS; Computational Imaging Group for MRI diagnostics and therapy, Centre for Image Sciences UMC Utrecht, Utrecht, The Netherlands.; Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands., Tokaya JP; Computational Imaging Group for MRI diagnostics and therapy, Centre for Image Sciences UMC Utrecht, Utrecht, The Netherlands., van Gemert J; Circuit & Systems Group of the Electrical Engineering, Delft University of Technology, Delft, The Netherlands.; C. J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, The Netherlands., Luijten PR; Department of Radiology, UMC Utrecht, Utrecht, The Netherlands., Pluim JPW; Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands., Brink WM; C. J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, The Netherlands., Remis RF; Circuit & Systems Group of the Electrical Engineering, Delft University of Technology, Delft, The Netherlands., van den Berg CAT; Computational Imaging Group for MRI diagnostics and therapy, Centre for Image Sciences UMC Utrecht, Utrecht, The Netherlands., Raaijmakers AJE; Computational Imaging Group for MRI diagnostics and therapy, Centre for Image Sciences UMC Utrecht, Utrecht, The Netherlands.; Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Source: Magnetic resonance in medicine [Magn Reson Med] 2020 May; Vol. 83 (5), pp. 1796-1809. Date of Electronic Publication: 2019 Sep 30.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 8505245 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-2594 (Electronic) Linking ISSN: 07403194 NLM ISO Abbreviation: Magn Reson Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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        Value: 10.1002/mrm.28023
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        Text: English
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