Segment-Any-Muscle: Towards an Open-Source, Contrast-Agnostic Computer-Vision Muscle Segmentation Model for MRI and CT
Motivation: Declines in muscle health are common in multiple conditions, and MRI is the gold standard for non-invasively assessing muscle. Computer-vision models show promise for the automated quantification of muscle health with MRI but lack generalizability across sequences and imaging modalities. Goal(s): To develop a contrast-agnostic computer-vision muscle segmentation model for the lumbar paraspinal muscles that generalizes to multiple MRI contrasts as well as CT. Approach: We trained, tested, and validated the model on over 1,500 MRI and CT images. Results: The model showed high accuracy (Sørensen-Dice≥0.865) on an external, multimodal validation dataset and can be accessed at github.com/MuscleMap/MuscleMap . Impact: This contrast-agnostic computer-vision model can automatically and accurately assess muscle health from both MRI and CT. We are expanding this to all muscles to support multiple clinical and research applications linking muscle health to overall health and disease.
Authors
- Sean Mackey (ORCID: https://orcid.org/0000-0001-7744-5348)
- Julien Cohen‐Adad (ORCID: https://orcid.org/0000-0003-3662-9532)
- Brian Kim (ORCID: https://orcid.org/0000-0002-7015-0229)
- Benjamin De Leener (ORCID: https://orcid.org/0000-0002-1378-2756)
- Maryse Fortin (ORCID: https://orcid.org/0000-0002-1189-3591)
- Christine Law (ORCID: https://orcid.org/0000-0003-0524-6029)
- Antonio Di Ieva (ORCID: https://orcid.org/0000-0002-5341-5416)
- Kenneth A. Weber (ORCID: https://orcid.org/0000-0002-0916-9174)
- Sandrine Bédard (ORCID: https://orcid.org/0000-0001-9859-1133)
- Enrico De Martino (ORCID: https://orcid.org/0000-0003-3211-3723)
- Marnee J. McKay (ORCID: https://orcid.org/0000-0002-8126-3579)
- Mark J. Hancock (ORCID: https://orcid.org/0000-0002-9277-5377)
- Evert Onno Wesselink (ORCID: https://orcid.org/0000-0002-2024-6986)
- Enamundram Naga Karthik (ORCID: https://orcid.org/0000-0003-2940-5514)
- Nick Caplan (ORCID: https://orcid.org/0000-0002-2396-3390)
- James M. Elliott (ORCID: https://orcid.org/0000-0002-8890-6012)
- Philip Pevenage
- Carmen Vleggeert – Lankamp
- Annelies Pool - Goudzwaard
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/0622
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00