Application of a Deep Learning Algorithm for Combined Super-Resolution and Partial Fourier Reconstruction Including Time Reduction in T1-Weighted Precontrast and Postcontrast Gradient Echo Imaging of Abdominopelvic MR Imaging

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Application of a Deep Learning Algorithm for Combined Super-Resolution and Partial Fourier Reconstruction Including Time Reduction in T1-Weighted Precontrast and Postcontrast Gradient Echo Imaging of Abdominopelvic MR Imaging

Autor(en): Wessling, Daniel; Herrmann, Judith; Afat, Saif; Nickel, Dominik; Almansour, Haidara; Keller, Gabriel; Othman, Ahmed E.; Brendlin, Andreas S.; Gassenmaier, Sebastian
Tübinger Autor(en):
Wessling, Daniel
Herrmann, Judith
Afat, Saif
Almansour, Haidara
Gassenmaier, Sebastian
Keller, Gabriel L.
Brendlin, Andreas Stefan
Erschienen in: Diagnostics (2022), Bd. 12 (10), Article 2370
Verlagsangabe: Mdpi
Sprache: Englisch
Referenz zum Volltext: http://dx.doi.org/10.3390/diagnostics12102370
ISSN: 2075-4418
DDC-Klassifikation: 610 - Medizin, Gesundheit
Dokumentart: Wissenschaftlicher Artikel
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