Citing MuscleMap

Main reference

When citing MuscleMap, please cite the following article:

McKay MJ, Weber KA 2nd, Wesselink EO, Smith ZA, Abbott R, Anderson DB, Ashton-James CE, Atyeo J, Beach AJ, Burns J, Clarke S, Collins NJ, Coppieters MW, Cornwall J, Crawford RJ, De Martino E, Dunn AG, Eyles JP, Feng HJ, Fortin M, Franettovich Smith MM, Galloway G, Gandomkar Z, Glastras S, Henderson LA, Hides JA, Hiller CE, Hilmer SN, Hoggarth MA, Kim B, Lal N, LaPorta L, Magnussen JS, Maloney S, March L, Nackley AG, O'Leary SP, Peolsson A, Perraton Z, Pool-Goudzwaard AL, Schnitzler M, Seitz AL, Semciw AI, Sheard PW, Smith AC, Snodgrass SJ, Sullivan J, Tran V, Valentin S, Walton DM, Wishart LR, Elliott JM. 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
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Citing the MuscleMap Toolbox

When using specific components of the MuscleMap Toolbox, please cite the relevant methods papers below.

Tip: each reference includes a Download BibTeX button that exports the corresponding entry.

MuscleMap module References
mm_segment

Whole-body — Wesselink EO, Elliott JM, McKay M, de Martino E, Caplan N, Mackey S, Cohen-Adad J, Bédard S, De Leener B, Naga Karthik E, Law CSW, Fortin M, Vleggeert–Lankamp C, Di Leva A, Kim B, Hancock M, Pool-Goudzwaard A, Pevenage P, Weber II KA. Segment-Any-Muscle: Towards an Open-Source, Contrast-Agnostic Computer-Vision Muscle Segmentation Model for MRI and CT. ISMRM 2025 abstract.

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Abdomen — Wesselink EO, Pool-Goudzwaard A, De Leener B, Law CSW, Fenyo MB, Ello GM, Coppieters MW, Elliott JM, Mackey S, Weber KA 2nd. Investigating the associations between lumbar paraspinal muscle health and age, BMI, sex, physical activity, and back pain using an automated computer-vision model: a UK Biobank study. Spine J. 2024;24(7):1253–1266.

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Wesselink EO, Elliott JM, Coppieters MW, Hancock MJ, Cronin B, Pool-Goudzwaard A, Weber II KA. Convolutional neural networks for the automatic segmentation of lumbar paraspinal muscles in people with low back pain. Sci Rep. 2022;12(1):13485.

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Pelvis — Wesselink EO, Elliott JM, McKay M, de Martino E, Caplan N, Mackey S, Cohen-Adad J, Bédard S, De Leener B, Naga Karthik E, Law CSW, Fortin M, Vleggeert–Lankamp C, Di Leva A, Kim B, Hancock M, Pool-Goudzwaard A, Pevenage P, Weber II KA. Segment-Any-Muscle: Towards an Open-Source, Contrast-Agnostic Computer-Vision Muscle Segmentation Model for MRI and CT. ISMRM 2025 abstract.

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Stewart C, Wesselink EO, Perraton Z, Weber II KA, King MG, Kemp JL, Mentiplay BF, Crossley KM, Elliott JM, Heerey JJ, Scholes MJ, Lawrenson PR, Calabrese C, Semciw AI. Muscle fat and volume differences in people with hip-related pain compared to controls: A machine learning approach. J Cachexia Sarcopenia Muscle. 2024;15(6):2642–2650.

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Thigh — Wesselink EO, Elliott JM, McKay M, de Martino E, Caplan N, Mackey S, Cohen-Adad J, Bédard S, De Leener B, Naga Karthik E, Law CSW, Fortin M, Vleggeert–Lankamp C, Di Leva A, Kim B, Hancock M, Pool-Goudzwaard A, Pevenage P, Weber II KA. Segment-Any-Muscle: Towards an Open-Source, Contrast-Agnostic Computer-Vision Muscle Segmentation Model for MRI and CT. ISMRM 2025 abstract.

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Leg — Wesselink EO, Elliott JM, McKay M, de Martino E, Caplan N, Mackey S, Cohen-Adad J, Bédard S, De Leener B, Naga Karthik E, Law CSW, Fortin M, Vleggeert–Lankamp C, Di Leva A, Kim B, Hancock M, Pool-Goudzwaard A, Pevenage P, Weber II KA. Segment-Any-Muscle: Towards an Open-Source, Contrast-Agnostic Computer-Vision Muscle Segmentation Model for MRI and CT. ISMRM 2025 abstract.

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Smith AC, Muñoz Laguna J, Wesselink EO, Scott ZE, Jenkins H, Thornton W, Wasielewski M, Connor J, Delp S, Chaudhari A, Parrish TB, Mackey S, Elliott JM, Weber II KA. Leg Muscle Volume, Intramuscular Fat, and Force Generation: Insights from a Computer Vision Model and Fat-Water MRI. J Cachexia Sarcopenia Muscle. 2025;16(1):e13735.

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mm_extract_metrics

Wesselink EO, Elliott JM, Pool-Goudzwaard A, Coppieters MW, Pevenage PP, Di Ieva A, Weber II KA. Quantifying lumbar paraspinal intramuscular fat: Accuracy and reliability of automated thresholding models. N Am Spine Soc J. 2024;17:100313.

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mm_register_to_template

Weber KA 2nd, Wesselink EO, Gutierrez J, Law CSW, Mackey S, Ratliff J, Hu S, Chaudhari AS, Pool-Goudzwaard A, Coppieters MW, Elliott JM, Hancock M, De Leener B. Three-dimensional spatial distribution of lumbar paraspinal intramuscular fat revealed by spatial parametric mapping. Eur Spine J. 2025;34(1):27–35.

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De Leener B, Lévy S, Dupont SM, Fonov VS, Stikov N, Collins DL, Callot V, Cohen-Adad J. SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data. Neuroimage. 2017;145(Pt A):24–43.

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