Jan S. Kirschke
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Recent Grants
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iBack
Open Date: 2015-06-01
Close Date: 2020-05-01
Grant: Close
Optimizing prediction and understanding of osteoporotic insufficiency fractures using surrogate models, numerical simulation and quantification of local anisotropies by X-ray Vector Radiography
Open Date: 2014-01-01
Close Date: 2018-12-31
Grant: Close
Entwicklung und Anwendung nichtlinearer Bildanalyseverfahren zur Analyse trabekulärer Knochenstrukturen im Kontext von Osteoporose
Open Date: 2005-01-01
Close Date: 2013-12-31
Articles (13)
Year:
2024
Year:
2024
Year:
2024
Year:
2023
Year:
2023
How back pain is related to intervertebral disc degeneration, spinal loading or sports-related overuse remains an unanswered question of biomechanics. Coupled MBS and FEM simulations can provide a holistic view of the spine by considering both the overall kinematics and kinetics of the spine and the inner stress distribution of flexible components. We reviewed studies that included MBS and FEM co-simulations of the spine. Thereby, we classified the studies into unidirectional and bidirectional co-simulation, according to their data exchange methods. Several studies have demonstrated that using unidirectional co-simulation models provides useful insights into spinal biomechanics, although synchronizing the two distinct models remains a key challenge, often requiring extensive manual intervention. The use of a bidirectional co-simulation features an iterative, automated process with a constant data exchange between integrated subsystems. It reduces manual corrections of vertebra positions or reaction forces and enables detailed modeling of dynamic load cases. Bidirectional co-simulations are thus a promising new research approach for improved spine modeling, as a main challenge in spinal biomechanics is the nonlinear deformation of the intervertebral discs. Future studies will likely include the automated implementation of patient-specific bidirectional co-simulation models using hyper- or poroelastic intervertebral disc FEM models and muscle forces examined by an optimization algorithm in MBS. Applications range from clinical diagnosis to biomechanical analysis of overload situations in sports and injury prediction.
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2022
Year:
2022
Collaborators (13)
Tobias Boeckh-Behrens
-
Karupppasamy Subburaj
Associate Professor
Aarhus University
Jens Gempt
-
Hans Hauner
Technical University of Munich
Veit Senner
Technical University of Munich
Achim Berthele
school of medicine technische universität münchen munich germany
Mark Mühlau
-
Matthias Mayr
Senior Researcher & Lecturer
Bundeswehr University Munich
Bjoern Menze
Professor
University of Zurich
Daniela Junker
Ludwig-Maximilians-Universität München
Benedikt Wiestler
Technical University of Munich
Egon Burian
University Hospital of Zurich
Bernhard Hemmer
Technical University of Munich
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