Super-MoCo-MoDL: A combined super-resolution and motion-corrected undersampled deep-learning reconstruction framework for three-dimensional whole-heart cardiac magnetic resonance imaging.

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Bibliographic Details
Title: Super-MoCo-MoDL: A combined super-resolution and motion-corrected undersampled deep-learning reconstruction framework for three-dimensional whole-heart cardiac magnetic resonance imaging.
Authors: Phair A; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom., Littlewood SJ; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom., Fotaki A; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom., Fletcher TJ; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Department of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom., Felsner L; Institute for Computational Imaging and AI in Medicine, Technical University of Munich, Munich, Germany., Kim WY; Department of Cardiology, Aarhus University Hospital, Aarhus N, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark., Prieto C; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile; Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile., Botnar R; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile; Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile; Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile; Institute for Advanced Study, Technical University of Munich, Munich, Germany. Electronic address: rene.botnar@kcl.ac.uk.
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. 101990. Date of Electronic Publication: 2025 Nov 19.
Publication Type: Journal Article
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.2025.101990