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Accuracy of muscle moment arms estimated from MRI-based musculoskeletal models of the lower extremity.
Comput Aided Surg. 2000; 5(2):108-19.CA

Abstract

OBJECTIVE

Biomechanical models that compute the lengths and moment arms of soft tissues are broadly applicable to the treatment of movement abnormalities and the planning of orthopaedic surgical procedures. The goals of this study were to: (i) develop methods to construct subject-specific biomechanical models from magnetic resonance (MR) images, (ii) create models of three lower-extremity cadaveric specimens, and (iii) quantify the accuracy of muscle-tendon lengths and moment arms estimated using these models.

MATERIALS AND METHODS

Models describing the paths of the medial hamstrings and psoas muscles for a wide range of body positions were developed from MR images in one joint configuration by defining kinematic models of the hip and knee, and by specifying "wrapping surfaces" that simulate interactions between the muscles and underlying structures. Our methods for constructing these models were evaluated by comparing hip and knee flexion moment arms estimated from models of three specimens to the moment arms determined experimentally on the same specimens. Because a muscle's moment arm determines its change in length with joint rotation, these comparisons also tested the accuracy with which the models could estimate muscle-tendon lengths over a range of hip and knee motions.

RESULTS

Errors in the moment arms calculated with the models, averaged over functional ranges of hip and knee flexion, were less than 4 mm (within 10% of experimental values).

CONCLUSION

The combination of MR imaging and graphics-based musculoskeletal modeling provides an accurate and efficient means of estimating muscle-tendon lengths and moment arms in vivo.

Links

Publisher Full Text
tandfonline.com
onlinelibrary.wiley.com

Authors+Show Affiliations

Arnold AS
Biomechanical Engineering Division, Mechanical Engineering Department, Stanford University, CA 94305-3030, USA.
Salinas S
No affiliation info available
Asakawa DJ
No affiliation info available
Delp SL
No affiliation info available

MeSH

Biomechanical PhenomenaComputer SimulationFemurHip JointHumansIn Vitro TechniquesKnee JointLegMagnetic Resonance ImagingModels, BiologicalMovementMuscle, SkeletalMusculoskeletal Physiological PhenomenaTendonsTibia

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Research Support, U.S. Gov't, P.H.S.

Language

eng

PubMed ID

10862133

Citation

Arnold, A S., et al. "Accuracy of Muscle Moment Arms Estimated From MRI-based Musculoskeletal Models of the Lower Extremity." Computer Aided Surgery : Official Journal of the International Society for Computer Aided Surgery, vol. 5, no. 2, 2000, pp. 108-19.
Arnold AS, Salinas S, Asakawa DJ, et al. Accuracy of muscle moment arms estimated from MRI-based musculoskeletal models of the lower extremity. Comput Aided Surg. 2000;5(2):108-19.
Arnold, A. S., Salinas, S., Asakawa, D. J., & Delp, S. L. (2000). Accuracy of muscle moment arms estimated from MRI-based musculoskeletal models of the lower extremity. Computer Aided Surgery : Official Journal of the International Society for Computer Aided Surgery, 5(2), 108-19.
Arnold AS, et al. Accuracy of Muscle Moment Arms Estimated From MRI-based Musculoskeletal Models of the Lower Extremity. Comput Aided Surg. 2000;5(2):108-19. PubMed PMID: 10862133.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Accuracy of muscle moment arms estimated from MRI-based musculoskeletal models of the lower extremity. AU - Arnold,A S, AU - Salinas,S, AU - Asakawa,D J, AU - Delp,S L, PY - 2000/6/22/pubmed PY - 2000/8/6/medline PY - 2000/6/22/entrez SP - 108 EP - 19 JF - Computer aided surgery : official journal of the International Society for Computer Aided Surgery JO - Comput Aided Surg VL - 5 IS - 2 N2 - OBJECTIVE: Biomechanical models that compute the lengths and moment arms of soft tissues are broadly applicable to the treatment of movement abnormalities and the planning of orthopaedic surgical procedures. The goals of this study were to: (i) develop methods to construct subject-specific biomechanical models from magnetic resonance (MR) images, (ii) create models of three lower-extremity cadaveric specimens, and (iii) quantify the accuracy of muscle-tendon lengths and moment arms estimated using these models. MATERIALS AND METHODS: Models describing the paths of the medial hamstrings and psoas muscles for a wide range of body positions were developed from MR images in one joint configuration by defining kinematic models of the hip and knee, and by specifying "wrapping surfaces" that simulate interactions between the muscles and underlying structures. Our methods for constructing these models were evaluated by comparing hip and knee flexion moment arms estimated from models of three specimens to the moment arms determined experimentally on the same specimens. Because a muscle's moment arm determines its change in length with joint rotation, these comparisons also tested the accuracy with which the models could estimate muscle-tendon lengths over a range of hip and knee motions. RESULTS: Errors in the moment arms calculated with the models, averaged over functional ranges of hip and knee flexion, were less than 4 mm (within 10% of experimental values). CONCLUSION: The combination of MR imaging and graphics-based musculoskeletal modeling provides an accurate and efficient means of estimating muscle-tendon lengths and moment arms in vivo. SN - 1092-9088 UR - https://www.unboundmedicine.com/medline/citation/10862133/Accuracy_of_muscle_moment_arms_estimated_from_MRI_based_musculoskeletal_models_of_the_lower_extremity_ L2 - https://www.tandfonline.com/doi/full/10.1002/1097-0150(2000)5:2<108::AID-IGS5>3.0.CO;2-2 DB - PRIME DP - Unbound Medicine ER -