Feasibility of deep learning-accelerated ultrafast T1-weighted VIBE Dixon imaging of the pelvis for screening of metastases in prostate MRI.

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Title: Feasibility of deep learning-accelerated ultrafast T1-weighted VIBE Dixon imaging of the pelvis for screening of metastases in prostate MRI.
Authors: Nedelcu A; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, University of Freiburg, Freiburg im Breisgau, Germany. andrea.nedelcu@uniklinik-freiburg.de., Russe MF; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, University of Freiburg, Freiburg im Breisgau, Germany., Wilpert C; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, University of Freiburg, Freiburg im Breisgau, Germany., Oerther B; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, University of Freiburg, Freiburg im Breisgau, Germany., Nickel DM; MR Application Predevelopment, Siemens Healthineers AG, Forchheim, Germany., Strecker R; EMEA Scientific Partnerships, Siemens Healthineers AG, Forchheim, Germany., Bamberg F; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, University of Freiburg, Freiburg im Breisgau, Germany., Weiß J; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, University of Freiburg, Freiburg im Breisgau, Germany., Engel H; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, University of Freiburg, Freiburg im Breisgau, Germany.
Source: European radiology experimental [Eur Radiol Exp] 2026 Jun 25; Vol. 10 (1). Date of Electronic Publication: 2026 Jun 25.
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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  Data: Feasibility of deep learning-accelerated ultrafast T1-weighted VIBE Dixon imaging of the pelvis for screening of metastases in prostate MRI.
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  Data: <searchLink fieldCode="AU" term="%22Nedelcu+A%22">Nedelcu A</searchLink>; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, University of Freiburg, Freiburg im Breisgau, Germany. andrea.nedelcu@uniklinik-freiburg.de.<br /><searchLink fieldCode="AU" term="%22Russe+MF%22">Russe MF</searchLink>; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, University of Freiburg, Freiburg im Breisgau, Germany.<br /><searchLink fieldCode="AU" term="%22Wilpert+C%22">Wilpert C</searchLink>; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, University of Freiburg, Freiburg im Breisgau, Germany.<br /><searchLink fieldCode="AU" term="%22Oerther+B%22">Oerther B</searchLink>; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, University of Freiburg, Freiburg im Breisgau, Germany.<br /><searchLink fieldCode="AU" term="%22Nickel+DM%22">Nickel DM</searchLink>; MR Application Predevelopment, Siemens Healthineers AG, Forchheim, Germany.<br /><searchLink fieldCode="AU" term="%22Strecker+R%22">Strecker R</searchLink>; EMEA Scientific Partnerships, Siemens Healthineers AG, Forchheim, Germany.<br /><searchLink fieldCode="AU" term="%22Bamberg+F%22">Bamberg F</searchLink>; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, University of Freiburg, Freiburg im Breisgau, Germany.<br /><searchLink fieldCode="AU" term="%22Weiß+J%22">Weiß J</searchLink>; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, University of Freiburg, Freiburg im Breisgau, Germany.<br /><searchLink fieldCode="AU" term="%22Engel+H%22">Engel H</searchLink>; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, University of Freiburg, Freiburg im Breisgau, Germany.
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  Data: <searchLink fieldCode="JN" term="%22101721752%22">European radiology experimental</searchLink> [Eur Radiol Exp] 2026 Jun 25; Vol. 10 (1). <i>Date of Electronic Publication: </i>2026 Jun 25.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22SpringerOpen%22">SpringerOpen </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101721752 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2509-9280 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225099280%22">25099280 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol Exp <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s41747-026-00758-3
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        Text: English
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      – TitleFull: Feasibility of deep learning-accelerated ultrafast T1-weighted VIBE Dixon imaging of the pelvis for screening of metastases in prostate MRI.
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              Text: 2026 Jun 25
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              Y: 2026
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