ArticlePloS one2019
In vivo human lower limb muscle architecture dataset obtained using diffusion tensor imaging.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Subject-specific muscle properties from diffusion tensor imaging significantly improve the accuracy of musculoskeletal models.Journal of anatomy · 2020Trial
- Overcoming pitfalls in multi-stack diffusion MRI for tractography reconstruction of skeletal muscles.Scientific reports · 2026Article
- Muscle architecture predicts lower extremity power generation during a power leg press test in individuals with cerebral palsy.Clinical biomechanics (Bristol, Avon) · 2026Article
- A normative dataset of thumb muscle fascicle lengths in healthy, young adults: an extended field-of-view ultrasound study.Journal of biomechanics · 2025Article
- A registration strategy to characterize DTI-observed changes in skeletal muscle architecture due to passive shortening.PloS one · 2025Article
- Comparison of manual and semi-automated algorithm for measuring architectural features during different isometric knee extension intensities: a reliability and comparative study in novice raters.Frontiers in rehabilitation sciences · 2025Article
- Implications of variability in triceps surae muscle volumes on peak lower limb muscle forces during human walking.PloS one · 2025Article
- The impact of diffusion tensor imaging tractography settings on muscle fascicle architecture and diffusion parameter estimates: Tract length, completion, and curvature are most sensitive to tractography settings.NMR in biomedicine · 2024Article
- A registration strategy to characterize DTI-observed changes in skeletal muscle architecture due to passive shortening.bioRxiv : the preprint server for biology · 2024Article
- Scaling relationships between human leg muscle architectural properties and body size.The Journal of experimental biology · 2024Article
- Relationship between muscle power, muscle volume and limb length in healthy male and female adolescents.Frontiers in sports and active living · 2024Article
- Article
- Unique morphological architecture of the hamstring muscles and its functional relevance revealed by analysis of isolated muscle specimens and quantification of structural parameters.Journal of anatomy · 2023Article
- Musculotendon Parameters in Lower Limb Models: Simplifications, Uncertainties, and Muscle Force Estimation Sensitivity.Annals of biomedical engineering · 2023Review
- Measuring fascicle lengths of extrinsic and intrinsic thumb muscles using extended field-of-view ultrasound.Journal of biomechanics · 2023Article
- Muscle Architecture of Leg Muscles: Functional and Clinical Significance.Acta medica Lituanic · 2023Article
- Three-dimensional visualization and quantitative analysis of embryonic and fetal thigh muscles using magnetic resonance and phase-contrast X-ray imaging.Journal of anatomy · 2022Article
- Acute and Prolonged Effects of Dermal Suction on Joint Range of Motion and Passive Muscle Stiffness: A Preliminary Study.Healthcare (Basel, Switzerland) · 2022Article
- Differences in Medial and Lateral Gastrocnemius Stiffness after Exercise-Induced Muscle Fatigue.International journal of environmental research and public health · 2022Article
- From fibre to function: are we accurately representing muscle architecture and performance?Biological reviews of the Cambridge Philosophical Society · 2022Review
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
'Gold standard' reference sets of human muscle architecture are based on elderly cadaveric specimens, which are unlikely to be representative of a large proportion of the human population. This is important for musculoskeletal modeling, where the muscle force-generating properties of generic models are defined by these data but may not be valid when applied to models of young, healthy individuals. Obtaining individualized muscle architecture data in vivo is difficult, however diffusion tensor magnetic resonance imaging (DTI) has recently emerged as a valid method of achieving this. DTI was used here to provide an architecture data set of 20 lower limb muscles from 10 healthy adults, including muscle fiber lengths, which are important inputs for Hill-type muscle models commonly used in musculoskeletal modeling. Maximum isometric force and muscle fiber lengths were found not to scale with subject anthropometry, suggesting that these factors may be difficult to predict using scaling or optimization algorithms. These data also highlight the high level of anatomical variation that exists between individuals in terms of lower limb muscle architecture, which supports the need of incorporating subject-specific force-generating properties into musculoskeletal models to optimize their accuracy for clinical evaluation.
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