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Conventional and Deep-Learning-Based Image Reconstructions of Undersampled K-Space Data of the Lumbar Spine Using Compressed Sensing in MRI: A Comparative Study on 20 Subjects.
Fervers, Philipp; Zaeske, Charlotte; Rauen, Philip; Iuga, Andra-Iza; Kottlors, Jonathan; Persigehl, Thorsten; Sonnabend, Kristina; Weiss, Kilian; Bratke, Grischa.
Afiliação
  • Fervers P; Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, 50937 Cologne, Germany.
  • Zaeske C; Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, 50937 Cologne, Germany.
  • Rauen P; Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, 50937 Cologne, Germany.
  • Iuga AI; Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, 50937 Cologne, Germany.
  • Kottlors J; Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, 50937 Cologne, Germany.
  • Persigehl T; Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, 50937 Cologne, Germany.
  • Sonnabend K; Philips GmbH Market DACH, 22335 Hamburg, Germany.
  • Weiss K; Philips GmbH Market DACH, 22335 Hamburg, Germany.
  • Bratke G; Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, 50937 Cologne, Germany.
Diagnostics (Basel) ; 13(3)2023 Jan 23.
Article em En | MEDLINE | ID: mdl-36766523

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha