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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| 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. |
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| 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41270834 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Super-MoCo-MoDL: A combined super-resolution and motion-corrected undersampled deep-learning reconstruction framework for three-dimensional whole-heart cardiac magnetic resonance imaging. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Phair+A%22">Phair A</searchLink>; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Littlewood+SJ%22">Littlewood SJ</searchLink>; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Fotaki+A%22">Fotaki A</searchLink>; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Fletcher+TJ%22">Fletcher TJ</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Felsner+L%22">Felsner L</searchLink>; Institute for Computational Imaging and AI in Medicine, Technical University of Munich, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Kim+WY%22">Kim WY</searchLink>; Department of Cardiology, Aarhus University Hospital, Aarhus N, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.<br /><searchLink fieldCode="AU" term="%22Prieto+C%22">Prieto C</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Botnar+R%22">Botnar R</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229815616%22">Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance</searchLink> [J Cardiovasc Magn Reson] 2026 Summer; Vol. 28 (1), pp. 101990. <i>Date of Electronic Publication: </i>2025 Nov 19. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9815616 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1532-429X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210976647%22">10976647 </searchLink><i>NLM ISO Abbreviation: </i>J Cardiovasc Magn Reson <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41270834 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jocmr.2025.101990 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 101990 Titles: – TitleFull: Super-MoCo-MoDL: A combined super-resolution and motion-corrected undersampled deep-learning reconstruction framework for three-dimensional whole-heart cardiac magnetic resonance imaging. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Phair A – PersonEntity: Name: NameFull: Littlewood SJ – PersonEntity: Name: NameFull: Fotaki A – PersonEntity: Name: NameFull: Fletcher TJ – PersonEntity: Name: NameFull: Felsner L – PersonEntity: Name: NameFull: Kim WY – PersonEntity: Name: NameFull: Prieto C – PersonEntity: Name: NameFull: Botnar R IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2026 Summer Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1532-429X Numbering: – Type: volume Value: 28 – Type: issue Value: 1 Titles: – TitleFull: Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Type: main |
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