AI-augmented reconstruction provides improved image quality and enables shorter breath-holds in contrast-enhanced liver MRI
Liver-to-portal vein CNR was significantly higher for 17-s NN + ID. AI-augmented reconstructions scored higher for image quality, contrast-to-noise, vessel-edge, and lesion-edge sharpness. No significant difference in lesion detection between 12-s NN + ID and 17-s standard reconstructions.
Authors
- Jessica Winfield (ORCID: https://orcid.org/0000-0001-6069-5252)
- Stephan Kannengießer (ORCID: https://orcid.org/0000-0001-6345-9132)
- Dominik Nickel (ORCID: https://orcid.org/0000-0002-0360-7233)
- Dow‐Mu Koh (ORCID: https://orcid.org/0000-0001-7654-8011)
- Joshua Shur (ORCID: https://orcid.org/0000-0002-4569-4785)
- Christina Messiou (ORCID: https://orcid.org/0000-0002-0557-9379)
- Georgina Hopkinson (ORCID: https://orcid.org/0000-0003-4967-8886)
- Mihaela Rata (ORCID: https://orcid.org/0000-0003-4999-8038)
- Francesca Castagnoli (ORCID: https://orcid.org/0000-0003-2407-7451)
- A. MacDonald (ORCID: https://orcid.org/0000-0001-5626-7271)
- David Stockton
Institutions
- Institute of Cancer Research (GB)
- Royal Marsden Hospital (GB)
- Siemens Healthineers (Germany) (DE)
Publication Details
- Journal
- European Radiology Experimental
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1186/s41747-025-00582-1
- Citations
- 3
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 4.08
Funders
- Royal Marsden NHS Foundation Trust
- Cancer Research UK
- National Institute for Health and Care Research
- Department of Health and Social Care