Master Thesis Creating Synthetic Motion in MR Images for Evaluation of Novel Approaches to Motion Management on Unity
Core
Generate synthetic MR image datasets with anatomically plausible motion to benchmark and improve motion-tracking algorithms for the Elekta Unity MR-Linac.
Role type
Master's thesis researcher (medical physics/computer science)
Builds
A reusable framework for benchmarking motion-tracking algorithms on the Elekta Unity
Domain
Medical imaging + Radiotherapy (MR-Linac)
Deliverable
production ML models
Required skills
Programming, quantitative analysis, independent research
Preferred skills
Medical image processing, Python, radiotherapy knowledge, MR-Linac familiarity
Technologies
Python, MR-Linac, Unity
Responsibilities
Generate paired 3D and 2D MR image datasets with artificial motion; Establish baseline performance for the current APM algorithm; Explore approaches for improving target tracking performance using deformable motion information
Seniority
Master's student, research project