Deep learning super-resolution reconstruction for fast and high-quality cine cardiovascular magnetic resonance
Question Cine CMR acquisitions are time-intensive and vulnerable to artifacts. Findings Low-resolution upscaled reconstructions using DL super-resolution decreased acquisition times by 35-42% without a significant difference in volumetric results or subjective image quality. Clinical relevance DL super-resolution reconstructions of bSSFP cine images acquired at a lower spatial resolution reduce acquisition times while preserving diagnostic accuracy, improving the clinical feasibility of cine imaging by decreasing breath hold duration.
Authors
- Ákos Varga‐Szemes (ORCID: https://orcid.org/0000-0002-2781-7462)
- Daniel Kuetting (ORCID: https://orcid.org/0000-0001-6520-1020)
- Julian Alexander Luetkens (ORCID: https://orcid.org/0000-0002-7715-4636)
- Dmitrij Kravchenko (ORCID: https://orcid.org/0000-0003-0331-2045)
- Claus Christian Pieper (ORCID: https://orcid.org/0000-0002-0893-1200)
- Ulrike Attenberger (ORCID: https://orcid.org/0000-0002-8123-5447)
- Johannes Peeters (ORCID: https://orcid.org/0000-0001-6639-0863)
- Narine Mesropyan (ORCID: https://orcid.org/0000-0002-5871-3965)
- Alexander Isaak (ORCID: https://orcid.org/0000-0003-2016-6166)
- Tilman Emrich (ORCID: https://orcid.org/0000-0002-6096-3154)
- Christoph Katemann
Institutions
- University of Bonn (DE)
- Medical University of South Carolina (US)
- Johannes Gutenberg University Mainz (DE)
- University Hospital Bonn (DE)
- University Medical Center of the Johannes Gutenberg University Mainz (DE)
- Philips (Netherlands) (NL)
- German Centre for Cardiovascular Research (DE)
- Philips (Germany) (DE)
Publication Details
- Journal
- European Radiology
- Published
- 2024-10-23
- DOI
- https://doi.org/10.1007/s00330-024-11145-0
- Citations
- 27
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 10.92