Deep learning-based chemical shift-artifact correction of ZTE MRI for enhanced bone depiction of the lumbar spine.
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| Title: | Deep learning-based chemical shift-artifact correction of ZTE MRI for enhanced bone depiction of the lumbar spine. |
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| Authors: | Obermüller C; Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland. carina.obermueller@usz.ch., Bach U; Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland., Zecca F; Department of Medical Imaging, Oncopole Claudius Regaud - IUCT Oncopole, Toulouse, France., Heidt F; Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland., Lohezic M; GE HealthCare, Zurich, Switzerland., Mandava S; GE HealthCare, Atlanta, GA, USA., de Arcos Rodriguez J; GE HealthCare, Valencia, Spain., Wiesinger F; GE HealthCare, Munich, Germany., Guggenberger R; Department of Radiology and Nuclear Medicine, Cantonal Hospital Winterthur, University of Zurich, Zurich, Switzerland., Burian E; Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland., Kroschke J; Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland., Ensle F; Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland. |
| Source: | Skeletal radiology [Skeletal Radiol] 2026 Jul 06. Date of Electronic Publication: 2026 Jul 06. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Verlag Country of Publication: Germany NLM ID: 7701953 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-2161 (Electronic) Linking ISSN: 03642348 NLM ISO Abbreviation: Skeletal Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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