Abstract:
:This paper proposes methods and technologies that advance the state of the art for modelling the musculoskeletal system across the spatial and temporal scales; and storing these using efficient ontologies and tools. We present population-based modelling as an efficient method to rapidly generate individual morphology from only a few measurements and to learn from the ever-increasing supply of imaging data available. We present multiscale methods for continuum muscle and bone models; and efficient mechanostatistical methods, both continuum and particle-based, to bridge the scales. Finally, we examine both the importance that muscles play in bone remodelling stimuli and the latest muscle force prediction methods that use electromyography-assisted modelling techniques to compute musculoskeletal forces that best reflect the underlying neuromuscular activity. Our proposal is that, in order to have a clinically relevant virtual physiological human, (i) bone and muscle mechanics must be considered together; (ii) models should be trained on population data to permit rapid generation and use underlying principal modes that describe both muscle patterns and morphology; and (iii) these tools need to be available in an open-source repository so that the scientific community may use, personalize and contribute to the database of models.
journal_name
Interface Focusjournal_title
Interface focusauthors
Fernandez J,Zhang J,Heidlauf T,Sartori M,Besier T,Röhrle O,Lloyd Ddoi
10.1098/rsfs.2015.0084subject
Has Abstractpub_date
2016-04-06 00:00:00pages
20150084issue
2eissn
2042-8898issn
2042-8901pii
rsfs20150084journal_volume
6pub_type
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