VIBESegmentator: full body MRI segmentation for the NAKO and UK Biobank
Question No completed MRI segmentation model exists that delineates the true transition boundaries of the anatomical structures of bone and muscles. Findings We provide a simple-to-use model that automatically segments MRI images, that can be utilized as a backbone for computer-aided automatic analysis. Clinical relevance Our segmentation model enables accurate and detailed full-torso segmentation on MRI and CT, improving automated analysis in large-scale epidemiological studies and facilitating more precise body composition and organ assessments for clinical and research applications.
Authors
- Jan S. Kirschke (ORCID: https://orcid.org/0000-0002-7557-0003)
- Matan Atad (ORCID: https://orcid.org/0000-0001-6952-517X)
- Henry Völzke (ORCID: https://orcid.org/0000-0001-7003-399X)
- Sophie Starck (ORCID: https://orcid.org/0000-0003-2495-6114)
- Robin Bülow (ORCID: https://orcid.org/0000-0003-1884-5784)
- Carsten Oliver Schmidt (ORCID: https://orcid.org/0000-0001-5266-9396)
- Fabian Bamberg (ORCID: https://orcid.org/0000-0002-7460-3942)
- Benedikt Wiestler (ORCID: https://orcid.org/0000-0002-2963-7772)
- Robert Graf (ORCID: https://orcid.org/0000-0001-6656-3680)
- Maximilian T. Löffler (ORCID: https://orcid.org/0000-0002-6022-3682)
- Marco Reisert (ORCID: https://orcid.org/0000-0003-2742-1940)
- Johannes C. Paetzold (ORCID: https://orcid.org/0000-0002-4844-6955)
- Julia Rüdebusch
- Constanze Ramschütz (ORCID: https://orcid.org/0009-0004-1090-0253)
- Jakob Weiß (ORCID: https://orcid.org/0000-0002-4058-2485)
- Matthias Jung (ORCID: https://orcid.org/0000-0002-1124-4284)
- Daniel Rueckert
- Hendrik Kristian Möller
- Evamaria Olga Riedel
- Paul Platzek
Institutions
- Cornell University (US)
- Universitätsmedizin Greifswald (DE)
- University Medical Center Freiburg (DE)
- TUM Klinikum (DE)
- National Center for Tumor Diseases (DE)
- Klinik und Poliklinik für Neurologie (DE)
- Weill Cornell Medicine (US)
- Imperial College London (GB)
Publication Details
- Journal
- European Radiology
- Published
- 2025-10-09
- DOI
- https://doi.org/10.1007/s00330-025-12035-9
- Citations
- 4
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.70