‘To Personalize’ or ‘Not to Personalize’: How to Balance the Need for Subject-Specific Anatomical Detail and Clinical Applicability in the Study of Musculoskeletal Loading During Movement?
By Ilse Jonkers, Sam Van Rossom and Bryce Killen
The use of integrated 3D motion capture together with dynamic simulation of motion is currently an established way to study musculoskeletal loading, which today still cannot be measured non-invasively. In particular, in the field of degenerative joint disease, there is the ambition to use these techniques to contribute to patient stratification and consequent prescription of targeted rehabilitation strategies.
Likewise, their potential in defining effective treatment approaches to study gait dysfunction in children with cerebral palsy (CP) is becoming more and more accepted. In these research applications, high fidelity data from medical imaging techniques and 3D motion capture systems are abundantly used to personalize the musculoskeletal models and input data. However, when bridging into the clinical decision-making workflow, the challenges merely lie in the sparse data sets and the need to simplify the modeling workflows without losing important patient-specific features. Although not having solved this dilemma, she aims to present some of her insights and perspectives on the personalization of the simulation workflows for the study of musculoskeletal loading.
Attendees will learn:
How medical imaging techniques help in personalizing musculoskeletal models
What it will take to make the transfer of musculoskeletal models from the lab to their clinical application
How to set up efficient musculoskeletal model personalization pathways
From her PhD in 2000 onwards, Ilse Jonkers has successfully bridged a classical human movement science and physical therapy profile towards an integrated biomedical science and biomedical engineering profile. She has maximally exploited the use of 3D motion capture and multi-body simulation techniques to advance the understanding on pathological movement. The two-year postdoctoral stay at the bioengineering department at Stanford University with Professor Delp was a pivotal experience in this process. To date, she is a professor at the Human Movement Biomechanics Research Group and affiliated with the Tissue Homeostasis and Disease Laboratory at KU Leuven.
Her group is conducting international highly competitive research on the quantification of whole joint loading using multi-body simulation. Its work is known for the development of subject-specific musculoskeletal models containing a high level of anatomical detail, especially in the context of cerebral palsy. More recent research activities relate to the development of a multi-scale modelling framework of bone and cartilage adaptation and advanced medical imaging of cartilage to understand degenerative joint diseases. In this context, she aims to elucidate the role of mechanical loading in cartilage homeostasis and disease using multi-axial bioreactor experiments. She is passionate about this new, highly multi-disciplinary research line combining biomedical sciences (human movement science, musculoskeletal modelling, cartilage biology, and imaging) and engineering sciences (multi-scale modelling).