Jan S. Kirschke

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Technical University of Munich
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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

-

GERMANY
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Karupppasamy Subburaj

Associate Professor

Aarhus University

DENMARK
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Jens Gempt

-

GERMANY
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Hans Hauner

Technical University of Munich

GERMANY
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Veit Senner

Technical University of Munich

GERMANY
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Achim Berthele

school of medicine technische universität münchen munich germany

GERMANY
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Mark Mühlau

-

GERMANY
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Matthias Mayr

Senior Researcher & Lecturer

Bundeswehr University Munich

GERMANY
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Bjoern Menze

Professor

University of Zurich

SWITZERLAND
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Daniela Junker

Ludwig-Maximilians-Universität München

GERMANY
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Benedikt Wiestler

Technical University of Munich

GERMANY
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Egon Burian

University Hospital of Zurich

SWITZERLAND
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Bernhard Hemmer

Technical University of Munich

GERMANY
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