Reproducibility of CT-based opportunistic vertebral volumetric bone mineral density measurements from an automated segmentation framework.
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| Title: | Reproducibility of CT-based opportunistic vertebral volumetric bone mineral density measurements from an automated segmentation framework. |
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| Authors: | Bodden J; Department of Neuroradiology, TUM School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany. jannis.bodden@tum.de., Prucker P; Department of Neuroradiology, TUM School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany., Sekuboyina A; Department of Informatics, TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland., El Husseini M; Department of Neuroradiology, TUM School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany., Grau K; Department of Neuroradiology, TUM School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany., Rühling S; Department of Neuroradiology, TUM School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany., Burian E; Department of diagnostic and interventional Radiology, University Hospital of Ulm, Ulm, Germany., Zimmer C; Department of Neuroradiology, TUM School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.; TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany., Baum T; Department of Neuroradiology, TUM School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany., Kirschke JS; Department of Neuroradiology, TUM School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.; TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany. |
| Source: | European radiology experimental [Eur Radiol Exp] 2024 Aug 01; Vol. 8 (1), pp. 86. Date of Electronic Publication: 2024 Aug 01. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: SpringerOpen Country of Publication: England NLM ID: 101721752 Publication Model: Electronic Cited Medium: Internet ISSN: 2509-9280 (Electronic) Linking ISSN: 25099280 NLM ISO Abbreviation: Eur Radiol Exp Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2509-9280 |
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| DOI: | 10.1186/s41747-024-00483-9 |
