Morphological muscle and joint parameters for musculoskeletal modelling of the lower extremity

Abstract Background To assist in the treatment of gait disorders, an inverse and forward 3D musculoskeletal model of the lower extremity will be useful that allows to evaluate if–then scenarios. Currently available anatomical datasets do not comprise sufficiently accurate and complete information to...

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Bibliographic Details
Published in:Clinical biomechanics (Bristol) 2007-02, Vol.22 (2), p.239-247
Main Authors: Klein Horsman, M.D, Koopman, H.F.J.M, van der Helm, F.C.T, Prosé, L. Poliacu, Veeger, H.E.J
Format: Article
Language:English
Subjects:
Aged
Biomechanical Phenomena
Cadaver
Humans
Imaging, Three-Dimensional
Joints - anatomy & histology
Joints - pathology
Lasers
Leg
Ligament
Ligaments - anatomy & histology
Lower extremity
Male
Models, Anatomic
Models, Biological
Muscle parameters
Muscles - anatomy & histology
Muscles - pathology
Musculoskeletal model
Musculoskeletal System - pathology
Pelvis - anatomy & histology
Physical Medicine and Rehabilitation
Sarcomere length
Sarcomeres - pathology
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Summary:Abstract Background To assist in the treatment of gait disorders, an inverse and forward 3D musculoskeletal model of the lower extremity will be useful that allows to evaluate if–then scenarios. Currently available anatomical datasets do not comprise sufficiently accurate and complete information to construct such a model. The aim of this paper is to present a complete and consistent anatomical dataset, containing the orientations of joints (hip, knee, ankle and subtalar joints), muscle parameters (optimum length, physiological cross sectional area), and geometrical parameters (attachment sites, ‘via’ points). Methods One lower extremity, taken from a male embalmed specimen, was studied. Position and geometry were measured with a 3D-digitizer. Optotrak was used for measurement of rotation axes of joints. Sarcomere length was measured by laser diffraction. Findings A total of 38 muscles were measured. Each muscle was divided in different muscle lines of action based on muscle morphology. 14 Ligaments of the hip, knee and ankle were included. Interpretation The presented anatomical dataset embraces all necessary data for state of the art musculoskeletal modelling of the lower extremity. Implementation of these data into an (existing) model is likely to significantly improve the estimation of muscle forces and will thus make the use of the model as a clinical tool more feasible.
ISSN:0268-0033
1879-1271
DOI:10.1016/j.clinbiomech.2006.10.003