Automated Generation of Three-Dimensional Complex Muscle Geometries for Use in Personalised Musculoskeletal Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F20%3A43958587" target="_blank" >RIV/49777513:23520/20:43958587 - isvavai.cz</a>
Result on the web
<a href="http://ht" target="_blank" >http://ht</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10439-020-02490-4" target="_blank" >10.1007/s10439-020-02490-4</a>
Alternative languages
Result language
angličtina
Original language name
Automated Generation of Three-Dimensional Complex Muscle Geometries for Use in Personalised Musculoskeletal Models
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Annals of Biomedical Engineering
ISSN
0090-6964
e-ISSN
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Volume of the periodical
48
Issue of the periodical within the volume
6
Country of publishing house
GB - UNITED KINGDOM
Number of pages
12
Pages from-to
1793-1804
UT code for WoS article
000520620900001
EID of the result in the Scopus database
2-s2.0-85082774154