Ultrafast deep learning super-resolution single-shot T2-weighted imaging for robust edema visualization in cardiovascular magnetic resonance.

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Bibliographic Details
Title: Ultrafast deep learning super-resolution single-shot T2-weighted imaging for robust edema visualization in cardiovascular magnetic resonance.
Authors: Aziz-Safaie T; Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany; Quantitative Imaging Laboratory Bonn, Bonn, Germany., Katemann C; Philips GmbH Market DACH, Hamburg, Germany., Peeters JM; Philips MR Clinical Science, Netherlands., Weber OM; Philips GmbH Market DACH, Hamburg, Germany., Bischoff LM; Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany; Quantitative Imaging Laboratory Bonn, Bonn, Germany., Kravchenko D; Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany; Quantitative Imaging Laboratory Bonn, Bonn, Germany., Mesropyan N; Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany; Quantitative Imaging Laboratory Bonn, Bonn, Germany., Vollbrecht TM; Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany; Quantitative Imaging Laboratory Bonn, Bonn, Germany., Beissel LD; Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany; Quantitative Imaging Laboratory Bonn, Bonn, Germany., Pieper CC; Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany., Kuetting D; Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany; Quantitative Imaging Laboratory Bonn, Bonn, Germany., Luetkens JA; Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany; Quantitative Imaging Laboratory Bonn, Bonn, Germany., Isaak A; Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany; Quantitative Imaging Laboratory Bonn, Bonn, Germany. Electronic address: alexander.isaak@ukbonn.de.
Source: Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance [J Cardiovasc Magn Reson] 2026 Summer; Vol. 28 (1), pp. 102708. Date of Electronic Publication: 2026 Mar 07.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 9815616 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-429X (Electronic) Linking ISSN: 10976647 NLM ISO Abbreviation: J Cardiovasc Magn Reson Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1532-429X
DOI:10.1016/j.jocmr.2026.102708