Automated Generation of Three-Dimensional Complex Muscle Geometries for Use in Personalised Musculoskeletal Models
| Autor: | Josef Kohout, Luca Modenese |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Patient-Specific Modeling
Computer science 0206 medical engineering Biomedical Engineering Skeletal muscle 02 engineering and technology Moment arms Automated technique Models Biological Musculoskeletal geometry Lower limb 03 medical and health sciences 0302 clinical medicine Line segment Cadaver medicine Humans Computer vision Muscle Skeletal Line of action Representation (mathematics) Aged 80 and over Computational model business.industry Magnetic Resonance Imaging 020601 biomedical engineering Finite element method Biomechanical Phenomena medicine.anatomical_structure Female Hip Joint Original Article Artificial intelligence Tomography X-Ray Computed business Cadaveric spasm 030217 neurology & neurosurgery |
| Zdroj: | Annals of Biomedical Engineering |
| ISSN: | 1573-9686 0090-6964 |
| DOI: | 10.1007/s10439-020-02490-4 |
| Popis: | The geometrical representation of muscles in computational models of the musculoskeletal system typically consists of a series of line segments. These muscle anatomies are based on measurements from a limited number of cadaveric studies that recently have been used as atlases for creating subject-specific models from medical images, so potentially restricting the options for personalisation and assessment of muscle geometrical models. To overcome this methodological limitation, we propose a novel, completely automated technique that, from a surface geometry of a skeletal muscle and its attachment areas, can generate an arbitrary number of lines of action (fibres) composed by a user-defined number of straight-line segments. These fibres can be included in standard musculoskeletal models and used in biomechanical simulations. This methodology was applied to the surfaces of four muscles surrounding the hip joint (iliacus, psoas, gluteus maximus and gluteus medius), segmented on magnetic resonance imaging scans from a cadaveric dataset, for which highly discretised muscle representations were created and used to simulate functional tasks. The fibres’ moment arms were validated against measurements and models of the same muscles from the literature with promising outcomes. The proposed approach is expected to improve the anatomical representation of skeletal muscles in personalised biomechanical models and finite element applications. Electronic supplementary material The online version of this article (10.1007/s10439-020-02490-4) contains supplementary material, which is available to authorized users. |
| Databáze: | OpenAIRE |
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