MuscleMap Toolbox — Contrast-Agnostic Wholebody Muscle Segmentation Model Weights
Authors/Creators
-
1.
Stanford University
- 2. Sydney University
Researcher (61):
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Bollmann, Steffen
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Sommer, Stefan
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Nanz, Daniel
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Froeling, Martijn
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Cohen - Adad, Julien
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Bédard, Sandrine
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Goyal, Ananya
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Kaptan, Merve
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Kogan, Feliks
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Mackey, Sean
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de Leener, Benjamin
- Smith, Zachary A
- Abbott, Rebecca
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Anderson, David B
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Ashton-James, Claire E
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Atyeo, John
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Beach, Aaron J
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Burns, Joshua
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Clarke, Stephen
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Collins, Natalie J
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Coppieters, Michel W
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Cornwall, Jon
- Crawford, Rebecca J
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de Martino, Enrico
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Dunn, Adam G
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Eyles, Jillian P
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Feng, Henry J
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Fortin, Maryse
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Franettovich Smith, Melinda M
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Galloway, Graham
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Gandomkar, Ziba
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Glastras, Sarah
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Henderson, Luke A
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Hides, Julie A
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Hiller, Claire E
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Hilmer, Sarah N
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Hoggarth, Mark A
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Lal, Navneet
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LaPorta, Laura
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Magnussen, John S
- Maloney, Sarah
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March, Lyn
- Nackley, Andrea G
- O'Leary, Shaun P
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Peolsson, Anneli
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Perraton, Zuzana
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Pool-Goudzwaard, Annelies L
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Schnitzler, Margaret
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Seitz, Amee L
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Semciw, Adam I
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Sheard, Philip W
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Smith, Andrew C
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Snodgrass, Suzanne J
- Sullivan, Justin
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Tran, Vienna
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Valentin, Stephanie
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Walton, David M
- Wishart, Laurelie R
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Fundaun, Joel
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Hemke, Robert
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Beekman, Kerensa
Description
Pre-trained model weights for the MuscleMap Toolbox (https://musclemap.github.io/MuscleMap/), an open-source toolbox for automated muscle segmentation and quantitative analysis in MRI and CT.
Model: Contrast-agnostic computer-vision model trained on T1w, T2w, Dixon, STIR, DWI, T2Star, SPIR, and CT images. Segments 113 muscles and bones across the whole body including neck, shoulder, thorax, abdomen, pelvis, thigh, and leg.
Current version: v1.4
Usage: Model weights are downloaded automatically on first use by the MuscleMap Toolbox. See GitHub (https://github.com/MuscleMap/MuscleMap) or the MuscleMap website (https://musclemap.github.io/MuscleMap/) for installation instructions.
Cite: McKay MJ, Weber KA 2nd, Wesselink EO, et al. MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle. J Imaging. 2024;10(11):262. https://doi.org/10.3390/jimaging10110262
Files
contrast_agnostic_wholebody_model.json
Additional details
Software
- Repository URL
- https://github.com/MuscleMap/MuscleMap
- Programming language
- Python
- Development Status
- Active
References
- McKay MJ, Weber KA 2nd, Wesselink EO, et al. MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle. J Imaging. 2024;10(11):262. https://doi.org/10.3390/jimaging10110262
- Wesselink EO, Elliott JM, McKay M, et al. Segment-Any-Muscle: Towards an Open-Source, Contrast-Agnostic Computer-Vision Muscle Segmentation Model for MRI and CT. Abstract, ISMRM 2025, Honolulu, Hawaii.