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Long-term reproducibility of opportunistically assessed vertebral bone mineral density and texture features in routine clinical multi-detector computed tomography using an automated segmentation framework.
Bodden, Jannis; Dieckmeyer, Michael; Sollmann, Nico; Rühling, Sebastian; Prucker, Philipp; Löffler, Maximilian T; Burian, Egon; Subburaj, Karupppasamy; Zimmer, Claus; Kirschke, Jan S; Baum, Thomas.
Afiliação
  • Bodden J; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
  • Dieckmeyer M; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
  • Sollmann N; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
  • Rühling S; TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
  • Prucker P; Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany.
  • Löffler MT; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
  • Burian E; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
  • Subburaj K; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
  • Zimmer C; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Freiburg im Breisgau, Germany.
  • Kirschke JS; Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
  • Baum T; Department of Mechanical and Production Engineering, Aarhus University, Aarhus, Denmark.
Quant Imaging Med Surg ; 13(9): 5472-5482, 2023 Sep 01.
Article em En | MEDLINE | ID: mdl-37711780
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article