BA / MA Thesis Motion Analysis

The Fraunhofer Institute for Digital Medicine MEVIS is a world-leading and internationally connected research center for computer assistance in medicine.

With about 140 employees, our mission is to conduct patient-centric research and development to improve clinical processes for the benefit of our clinical partners and, in the end, patients.

What you will do

In the field of "Motion Analysis," we at Fraunhofer MEVIS focus on capturing and correcting patient and instrument movements during diagnoses, treatments, and interventions. We welcome proactive applications related to our topic areas. We are happy to jointly develop a specific thesis topic that matches your interests and skills, and our current questions.

Common imaging technologies in medicine such as MRI, CT, and X-ray images often only represent snapshots of patients. Between image acquisition and treatment, the patient and their anatomy move, causing the image data to inaccurately represent reality. Even during follow-up examinations, patients cannot be perfectly aligned in the same position. These movements make it difficult to track the progression of diseases. Even during a single image acquisition, patients can move, causing fine structures in the image data to blur. During interventions (e.g., surgical procedures on the spine), instruments are also tracked. Measurement and motion errors can cause severe damage to patients.

Our goal in the field of motion analysis is to identify where movements occur, measure them accurately, and provide physicians with motion-compensated data. Additionally, motion measurement data also has clinical benefits, such as diagnosing joint injuries. We mainly use simulations, mathematical motion and shape models, and optimization methods. For building simulations, we use classical image processing and deep learning. These allow us to create individual models for patients.

If we have sparked your interest in our field, we are happy to receive both general inquiries and project ideas or expressions of interest. We are currently broadly dealing with the following application areas:

Medical Area Desired Applications

Tumor diagnosis and therapy support

Diagnosis of e.g., back pain and surgery planning

Diagnosis, planning, and therapy support

Planning and therapy support

Planning and therapy support

What you bring to the table

Our topics usually suit enrolled students from computer science, systems engineering, mathmatics, medical informatics, or similar fields.

As an interdisciplinary institute, we are open to applications and ideas from other fields.

Fundamentally, prior knowledge in one or more of the following aspects is helpful for our topics

• Programming (Python, C++, or Matlab)
• Mathematical Modeling, Optimization, and Simulation
• Classical Image Processing and Machine/Deep Learning
• Probalistic Sensor Data Processing ( Kalman Filter, etc.)

What you can expect

• A dynamic work environment at the forefront of healthcare innovation
• Ideal conditions for practical experience alongside your studies
• Professional supervision and collaboration in a dedicated team
• Flexible working to combine study and job in the best possible way

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Interested? Apply online now. We look forward to getting to know you! Apply online now. We look forward to getting to know you! Applications are possible in German or English. Please include a cover letter, your CV and your latest transcript of records.

For specific questions regarding this position, please contact:

Dr. Joachim Georgii: [email protected]

Fraunhofer Institute for Digital Medicine MEVIS

Requisition Number: 76322Application Deadline: