[Bachelor / Master's Thesis] Biomechanical Simulation Pipeline (ABS): From Multimodal Data to Detailed Simulation

19.12.2025, Abschlussarbeiten, Bachelor- und Masterarbeiten

Are you curious how your knee feels during all the things you do throughout the day? This project aims to reconstruct and improve a semi-automated biomechanical simulation pipeline by integrating recent ML developments into it.

Project Title: Biomechanical Simulation Pipeline: From Multimodal Data to Detailed Finite-Element Analysis
Research Domain(s): Image Segmentation, Multi Body Simulation, Finite-element Analysis
Project Director: Prof. Daniel Roth
Project Advisors: Daniel Homm

Project Abstract:
This project aims to reconstruct and improve a semi-automated biomechanical simulation pipeline [1]. The pipeline integrates clinical imaging and motion data to generate subject-specific finite-element models. First the boundary conditions for the final FEM are calculated with OpenSim as multi-body framework [2], Afterward, the clinical image data is used to generate an individual FEM model [3, 4]. This coupled simulation approach enables accurate predictions of joint contact mechanics and soft-tissue strain patterns in the knee joint during a range of functional activities.
However, currently some steps need to be done manually. Therefore, one possible improvement is to automate this pipeline by using recent pre-trained image processing models or automation scripts.

Key research areas include:
- Multi-body Simulation with OpenSim
- Finite-element analysis with FEBio
- Clinical image analysis including Segmentation, and
Landmark detection

Recommended background (or motivation in learning):
- Good knowledge in computer vision or image processing
- Knowledge in multi-body simulation with OpenSim [2]
- Basic knowledge in finite-element analysis (preferred with FEBio)
- Strong experience with Python programming


Please send your transcript of records, CV and motivation to: Daniel Homm
(daniel.homm@tum.de) with CC to hex-thesis.ortho@mh.tum.de

You can find more information and other topics for theses on our website: https://hex-lab.io

(see attached file for more information)

Kontakt: daniel.homm@tum.de, hex-thesis.ortho@mh.tum.de

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