Automated segmentation of thoracic aortic lumen and vessel wall on three-dimensional bright- and black-blood magnetic resonance imaging using nnU-Net
Automated aortic lumen and wall segmentation on 3D bright- and black-blood image sets demonstrated excellent agreement with ground truth. This technique demonstrates a fast and comprehensive assessment of aortic morphology with great potential for future clinical application in various cardiovascular diseases.
Authors
- James Nadel (ORCID: https://orcid.org/0000-0001-9259-2813)
- M. Eline Kooi (ORCID: https://orcid.org/0000-0001-7562-5724)
- Claudia Prieto (ORCID: https://orcid.org/0000-0003-4602-2523)
- Marco Cesario
- René M. Botnar (ORCID: https://orcid.org/0000-0003-2811-2509)
- Thomas J. Fletcher (ORCID: https://orcid.org/0000-0002-1633-1117)
- Reza Hajhosseiny (ORCID: https://orcid.org/0000-0002-8116-460X)
- Anastasia Fotaki (ORCID: https://orcid.org/0000-0002-0353-5778)
- Ruperto Oliveró
- Simon Littlewood (ORCID: https://orcid.org/0000-0002-9092-6688)
- Jim Pouliopoulos
- José F. Rodríguez‐Palomares (ORCID: https://orcid.org/0000-0002-7229-9780)
- Carlos Castillo‐Passi (ORCID: https://orcid.org/0000-0001-6227-0477)
- Andrew Jabbour
Institutions
- Universitat Autònoma de Barcelona (ES)
- Pontificia Universidad Católica de Chile (CL)
- King's College London (GB)
- Victor Chang Cardiac Research Institute (AU)
- Chelsea and Westminster Hospital NHS Foundation Trust (GB)
- Maastricht University Medical Centre (NL)
- Maastricht University (NL)
- St Vincent's Hospital Melbourne (AU)
- Vall d'Hebron Institut de Recerca (ES)
- King's College School (GB)
- Millennium Institute on Immunology and Immunotherapy (CL)
Publication Details
- Journal
- Journal of Cardiovascular Magnetic Resonance
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.jocmr.2025.101923
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- Institut Català de Nanociència i Nanotecnologia
- National Institute for Health and Care Research
- British Heart Foundation
- Technische Universität München
- European Association of Cardiovascular Imaging
- Agencia Nacional de Investigación y Desarrollo
- Engineering and Physical Sciences Research Council
- Centre For Medical Engineering, King’s College London