Using UK Biobank data to establish population-specific atlases from whole body MRI
With this work, we make the constructed anatomical and label atlases publically available, with the expectation that they will support medical research involving whole-body MR images.
Authors
- Daniel Rueckert (ORCID: https://orcid.org/0000-0002-5683-5889)
- Rickmer Braren (ORCID: https://orcid.org/0000-0001-6039-6957)
- Veronika A. Zimmer (ORCID: https://orcid.org/0000-0002-5093-5854)
- Sophie Starck (ORCID: https://orcid.org/0000-0003-2495-6114)
- Vasiliki Sideri‐Lampretsa (ORCID: https://orcid.org/0000-0003-0135-7442)
- Jessica Ritter (ORCID: https://orcid.org/0000-0001-7106-7518)
- Tamara T. Mueller (ORCID: https://orcid.org/0000-0002-1818-1036)
Institutions
- German Cancer Research Center (DE)
- Artificial Intelligence in Medicine (Canada) (CA)
- Deutsches Konsortium für Translationale Krebsforschung (DE)
- Imperial College London (GB)
- Technical University of Munich (DE)
Publication Details
- Journal
- Communications Medicine
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1038/s43856-024-00670-0
- Citations
- 7
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.83
Funders
- Bundesministerium für Bildung und Forschung
- Deutschen Konsortium für Translationale Krebsforschung